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Sample records for high pm10 episode

  1. Primary organic pollutants in New Zealand urban aerosol in winter during high PM10 episodes.

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    Krivácsy, Zoltán; Blazsó, Marianne; Shooter, David

    2006-01-01

    In the two biggest New Zealand cities, Auckland and Christchurch, the mass concentration of the PM10 atmospheric aerosol can exceed the 50 microg m(-3) 24 h health guideline in winter. This high pollution level is thought to be caused mainly by old-fashioned domestic heating systems based on wood combustion. Therefore the chemistry of the carbonaceous aerosol has been investigated in several high-pollution level urban situations in order to assess the origin of the pollution. All the high concentration organic tracers, including levoglucosan and dehydroabietic acid, were characteristic for biomass burning. The findings have confirmed via advanced chemical analytical methods that domestic heating can be the main contributor to the high level of wintertime pollution, especially in Christchurch. The results are of great importance in supporting the ambition of authorities and environmental associations to change the domestic heating regimes.

  2. Influence of trans-boundary air pollution from China on multi-day high PM10 episodes in Seoul, Korea

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    Oh, H. R.; Ho, C. H.; Kim, J.; Chen, D.; Lee, S.; Choi, Y. S.; Chang, L. S.; Song, C. K.

    2014-12-01

    Air quality problems have become a serious global issue as it causes over 3 million deaths per year all over the world. With generations of massive air pollutants in China, the effects of trans-boundary transports of air pollutants on human health have become a serious international concern in East Asia. However, only a limited number of studies are available for providing scientific evidences for quantifying the sources and transports of air pollutants over major countries in East Asia. Here, it is shown that particulate matters originated from China played major role in the occurrence of multi-day (≥ 4 days) severe air pollution episodes in Seoul, Korea, in which the concentration of particulate matter of diameters ≤ 10 μm exceeds 100 μg m-3. Observations show that these multi-day severe air quality episodes occur when a strong high-pressure system resides over the eastern China - Korea region. Such a weather condition confines air pollutants within the atmospheric boundary layer and spread them by slow westerlies within the boundary layer from China into the neighboring countries. Understanding such dynamical processes is a key for advancing the predictability of trans-boundary air pollutants and their health impacts in East Asia as well as developing international measures to improve air quality for the region.

  3. Application of the Data Mining Methods to Assess the Impact of Meteorological Conditions on the Episodes of High Concentrations of PM10 along the Polish - Czech Border

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    Ośródka, Leszek; Krajny, Ewa; Wojtylak, Marek

    2018-01-01

    The paper presents an attempt to use selected data mining methods to determine the influence of a complex of meteorological conditions on the concentrations of PM10 (PM2.5) proffering the example of the regions of Silesia and Northern Moravia. The collection of standard meteorological data has been supplemented by increments and derivatives of measurable weather elements such as vertical pseudo-gradient of air temperature. The main objective was to develop a universal methodology for the assessment of these impacts, i.e. one that would be independent of the analysed pollution. The probability of occurrence (at a given location) of the assumed concentration level as exceeding the value of the specified distributional quintile was adopted as the discriminant of the incidence. As a result of the analyses conducted, incidences of elevated concentrations of air pollution particulate matter PM10 have been identified and the types of weather responsible for the emergence of such situations have also been determined.

  4. Spatial distribution of PM1 and PM10 during Saharan dust episodes in Athens, Greece

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    G. Ferentinos

    2009-04-01

    Full Text Available The objective of this study is to present and analyse the spatial distribution of PM1 (particulate matter with diameter less than 1 μm and PM10 (particulate matter with diameter less than 10 μm within the greater area of Athens (GAA, Greece, during two extreme Saharan dust episodes in 2006 and 2008. Two portable detectors, based on light scattering method, were used to record the particulate matter concentrations. The samples were collected in the same morning hour of the day which coincided with the peak of vehicles traffic. We analysed the recorded data on normal days and on days with extreme Saharan dust events in order to find out the exceedances of the particulate matter concentrations. Using Kriging method, the spatial patterns of PM1 and PM10 concentrations were constructed for GAA. It is already known that particulate matter represent the main hazard in cardiovascular and respiratory syndromes within the most polluted cities of Europe, which confront high traffic problems, amplified by Saharan dust episodes, which are frequent especially in the Southern Europe, during spring time. The results of the performed analysis showed that during these episodes, PM concentrations over exceed the thresholds set by the European Union, exacerbating the human health in Athens.

  5. PM(10) episodes in Greece: Local sources versus long-range transport-observations and model simulations.

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    Matthaios, Vasileios N; Triantafyllou, Athanasios G; Koutrakis, Petros

    2017-01-01

    Periods of abnormally high concentrations of atmospheric pollutants, defined as air pollution episodes, can cause adverse health effects. Southern European countries experience high particulate matter (PM) levels originating from local and distant sources. In this study, we investigated the occurrence and nature of extreme PM10 (PM with an aerodynamic diameter ≤10 μm) pollution episodes in Greece. We examined PM10 concentration data from 18 monitoring stations located at five sites across the country: (1) an industrial area in northwestern Greece (Western Macedonia Lignite Area, WMLA), which includes sources such as lignite mining operations and lignite power plants that generate a high percentage of the energy in Greece; (2) the greater Athens area, the most populated area of the country; and (3) Thessaloniki, (4) Patra, and (5) Volos, three large cities in Greece. We defined extreme PM10 pollution episodes (EEs) as days during which PM10 concentrations at all five sites exceeded the European Union (EU) 24-hr PM10 standards. For each EE, we identified the corresponding prevailing synoptic and local meteorological conditions, including wind surface data, for the period from January 2009 through December 2011. We also analyzed data from remote sensing and model simulations. We recorded 14 EEs that occurred over 49 days and could be grouped into two categories: (1) Local Source Impact (LSI; 26 days, 53%) and (2) African Dust Impact (ADI; 23 days, 47%). Our analysis suggested that the contribution of local sources to ADI EEs was relatively small. LSI EEs were observed only in the cold season, whereas ADI EEs occurred throughout the year, with a higher frequency during the cold season. The EEs with the highest intensity were recorded during African dust intrusions. ADI episodes were found to contribute more than local sources in Greece, with ADI and LSI fraction contribution ranging from 1.1 to 3.10. The EE contribution during ADI fluctuated from 41 to 83 μg/m3

  6. Analysis of regional and temporal characteristics of PM10 during an Asian dust episode in Korea.

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    Lee, Byeong-Kyu; Lee, Haengah Kim; Jun, Na-Young

    2006-05-01

    This study analyzes the regional and temporal distributions of PM10 concentrations observed in major metropolitan cities in Korea before, during and after a recent Asian dust episode in 2002. There were spatial and temporal variations in PM10 concentrations among the mid-western, the southwestern, the southeastern, and the southern parts of Korea during this Asian dust period due to the different air mass movement time and the different wind directions and speeds of prevailing winds in each city or region. The origins of the three-day Asian dust episode were identified by an analysis of two-day backward isentropic air trajectories. The different origins for each day also significantly contributed to the spatial and temporal variations in PM10 concentrations. A significant relationship was found between PM10 concentrations on the day preceding the first peak day and the first peak day of the Asian dust period but only in the mid-western areas. The concentrations of PM10 just after the Asian dust episode were much higher than those just before. There was a significant increase in a coarse fraction, having soil origins, of particles during the Asian dust episode. Concentrations of Mn, Fe, Ni and Cr extracted from the total suspended particulate (TSP) samples collected in 7 cities during the Asian dust episode were much higher when compared with other days in 2001. However, the Asian dust did not consistently increase the concentrations of lead, cadmium and copper as they are influenced by local sources such as local traffic or industrial emissions.

  7. Empirical Model for Evaluating PM10 Concentration Caused by River Dust Episodes

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    Chao-Yuan Lin

    2016-06-01

    Full Text Available Around the estuary of the Zhuo-Shui River in Taiwan, the waters recede during the winter, causing an increase in bare land area and exposing a large amount of fine earth and sand particles that were deposited on the riverbed. Observations at the site revealed that when northeastern monsoons blow over bare land without vegetation or water cover, the fine particles are readily lifted by the wind, forming river dust, which greatly endangers the health of nearby residents. Therefore, determining which factors affect river dust and constructing a model to predict river dust concentration are extremely important in the research and development of a prototype warning system for areas at risk of river dust emissions. In this study, the region around the estuary of the Zhuo-Shui River (from the Zi-Qiang Bridge to the Xi-Bin Bridge was selected as the research area. Data from a nearby air quality monitoring station were used to screen for days with river dust episodes. The relationships between PM10 concentration and meteorological factors or bare land area were analyzed at different temporal scales to explore the factors that affect river dust emissions. Study results showed that no single factor alone had adequate power to explain daily average or daily maximum PM10 concentration. Stepwise regression analysis of multiple factors showed that the model could not effectively predict daily average PM10 concentration, but daily maximum PM10 concentration could be predicted by a combination of wind velocity, temperature, and bare land area; the coefficient of determination for this model was 0.67. It was inferred that river dust episodes are caused by the combined effect of multiple factors. In addition, research data also showed a time lag effect between meteorological factors and hourly PM10 concentration. This characteristic was applied to the construction of a prediction model, and can be used in an early warning system for local residents.

  8. A model inter-comparison study focussing on episodes with elevated PM10 concentrations

    Energy Technology Data Exchange (ETDEWEB)

    Stern, R.; Builtjes, P.; Kerschbaumer, A. [Free Univ Berlin, Inst Meteorol, D-12165 Berlin (Germany); Builtjes, P.; Schaap, M.; Timmermans, R. [Air Qual and Climate Team, TNO Built Environm and Geosci, Utrecht, (Netherlands); Vautard, R. [CEA Saclay, LSCE, IPSL Lab, CEA/CNRS/UVSQ, F-91191 Gif Sur Yvette (France); Hodzic, A. [Ecole Polytech, LMD/IPSL, F-91198 Palaiseau (France); Memmesheimer, M. [Univ Cologne, Rhein Inst Umweltforsch, D-50931 Cologne (Germany); Feldmann, H. [Univ Karlsruhe, IMK-TRO, D-76131 Karlsruhe (Germany); Renner, E.; Wolke, R. [Leibniz Inst Tropospharenforsch, Leipzig (Germany)

    2008-07-01

    Five three-dimensional chemical transport models of different complexity were applied to Central Europe to assess the ability of models to reproduce PM10 concentrations under highly polluted conditions. The participating models were the French CHIMERE model, the Dutch LOTOS-EUROS model, as well as the REM-CALGRID, the EURAD and the LM-MUSCAT models from Germany. In the selected 80-day period, observed PM10 daily mean concentrations reached values well above 50 {mu}gm{sup -3} on many days in large parts of Northern Germany. This model evaluation shows that there is an increasing underestimation of primary and secondary species with increasing observed PM10. The high PM levels were observed under stagnant weather conditions, which are difficult to simulate with either prognostic or diagnostic, interpolation-based meteorological models. Thus, it is quite likely that uncertainties in PM emissions and incomplete process sub-modules each separately account for only a portion of the underestimation of high PM. Uncertainties in key boundary layer parameters, which can differ by a factor of two or more between the models, represent an additional source of error-both as direct sources of error through the transporting meteorological fields and indirect sources of error through the physico-chemical modules which rely on key boundary layer parameters. (authors)

  9. Composition and origin of PM10 in Cape Verde: Characterization of long-range transport episodes

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    Salvador, P.; Almeida, S. M.; Cardoso, J.; Almeida-Silva, M.; Nunes, T.; Cerqueira, M.; Alves, C.; Reis, M. A.; Chaves, P. C.; Artíñano, B.; Pio, C.

    2016-02-01

    A receptor modelling study was performed to identify source categories and their contributions to the PM10 total mass at the Cape Verde archipelago. Trajectory statistical methods were also used to characterize the main atmospheric circulation patterns causing the transport of air masses and to geographically identify the main potential source areas of each PM10 source category. Our findings point out that the variability of the PM10 levels at Cape Verde was prompted by the advections of African mineral dust. The mineral dust load was mainly composed by clay-silicates mineral derived elements (22% of the PM10 total mass on average) with lower amounts of carbonates (9%). A clear northward gradient was observed in carbonates concentration that illustrates the differences in the composition according to the source regions of mineral dust. Mineral dust was frequently linked to industrial emissions from crude oil refineries, fertilizer industries as well as oil and coal power plants, located in the northern and north-western coast of the African continent (29%). Sea salt was also registered in the PM10 mass during most part of the sampling period, with a lower impact in the PM10 levels than the mineral dust one (26%). Combustion aerosols (6%) reached the highest mean values in summer as a consequence of the emissions from local-regional sources. Biomass burning aerosols produced from October to November in sub-sahelian latitudes, had a clear influence in the content of elemental carbon (EC) recorded at Cape Verde but a small impact in the PM10 total mass levels. A minor contribution to the PM10 mass has been associated to secondary inorganic compounds-SIC. Namely, ammonium sulfate and nitrate (SIC 1-5%) and calcium sulfate and nitrate (SIC 2-3%). The main origin of SIC 1 was attributed to emissions of SO2 and NOx from industrial sources located in the northern and north-western African coast and from wildfires produced in the continent. SIC 2 had a clear regional origin

  10. Assesment of PM10 pollution episodes in a ceramic cluster (NE Spain): proposal of a new quality index for PM10, As, Cd, Ni and Pb.

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    Vicente, A B; Sanfeliu, T; Jordan, M M

    2012-10-15

    Environmental pollution control is one of the most important goals in pollution risk assessment today. In this sense, modern and precise tools that allow scientists to evaluate, quantify and predict air pollution are of particular interest. Monitoring atmospheric particulate matter is a challenge faced by the European Union. Specific rules on this subject are being developed (Directive 2004/107/EC, Directive 2008/50/EC) in order to reduce the potential adverse effects on human health caused by air pollution. Air pollution has two sources: natural and anthropogenic. Contributions from natural sources can be assessed but cannot be controlled, while emissions from anthropogenic sources can be controlled; monitoring to reduce this latter type of pollution should therefore be carried out. In this paper, we describe an air quality evaluation in terms of levels of atmospheric particles (PM10), as outlined by European Union legislation, carried out in an industrialised Spanish coastal area over a five-year period with the purpose of comparing these values with those of other areas in the Mediterranean Basin with different weather conditions from North of Europe. The study area is in the province of Castellón. This province is a strategic area in the frame work of European Union (EU) pollution control. Approximately 80% of European ceramic tiles and ceramic frit manufacturers are concentrated in two areas, forming the so-called "ceramics clusters"; ones in Modena (Italy) and the other in Castellón. In this kind of areas, there are a lot of air pollutants from this industry then it is difficult to fulfill de European limits of PM10 so it is necessary to control the air quality in them. The seasonal differences in the number of days in which pollutant level limits were exceeded were evaluated and the sources of contamination were identified. Air quality indexes for each pollutant have been established to determine easily and clearly the quality of air breathed. Furthermore

  11. Chemical composition and source apportionment of PM10at an urban background site in a high-altitude Latin American megacity (Bogota, Colombia).

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    Ramírez, Omar; Sánchez de la Campa, A M; Amato, Fulvio; Catacolí, Ruth A; Rojas, Néstor Y; de la Rosa, Jesús

    2018-02-01

    Bogota registers frequent episodes of poor air quality from high PM 10 concentrations. It is one of the main Latin American megacities, located at 2600 m in the tropical Andes, but there is insufficient data on PM 10 source contribution. A characterization of the chemical composition and the source apportionment of PM 10 at an urban background site in Bogota was carried out in this study. Daily samples were collected from June 2015 to May 2016 (a total of 311 samples). Organic carbon (OC), elemental carbon (EC), water soluble compounds (SO 4 2- , Cl - , NO 3 - , NH 4 + ), major elements (Al, Fe, Mg, Ca, Na, K, P) and trace metals (V, Cd, Pb, Sr, Ba, among others) were analyzed. The results were interpreted in terms of their variability during the rainy season (RS) and the dry season (DS). The data obtained revealed that the carbonaceous fraction (∼51%) and mineral dust (23%) were the main PM 10 components, followed by others (15%), Secondary Inorganic Compounds (SIC) (11%) and sea salt (0.4%). The average concentrations of soil, SIC and OC were higher during RS than DS. However, peak values were observed during the DS due to photochemical activity and forest fires. Although trace metals represented <1% of PM 10 , high concentrations of toxic elements such as Pb and Sb on RS, and Cu on DS, were obtained. By using a PMF model, six factors were identified (∼96% PM 10 ) including fugitive dust, road dust, metal processing, secondary PM, vehicles exhaust and industrial emissions. Traffic (exhaust emissions + road dust) was the major PM 10 source, accounting for ∼50% of the PM 10 . The results provided novel data about PM 10 chemical composition, its sources and its seasonal variability during the year, which can help the local government to define control strategies for the main emission sources during the most critical periods. Copyright © 2017 Elsevier Ltd. All rights reserved.

  12. Strong signatures of high-latitude blocks and subtropical ridges in winter PM10 over Europe

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    Garrido-Perez, Jose M.; Ordóñez, Carlos; García-Herrera, Ricardo

    2017-10-01

    This paper analyses the impact of high-latitude blocks and subtropical ridges on daily PM10 (particulate matter ≤ 10 μm) observations obtained from the European Environment Agency's air quality database (AirBase) for the winter period of 2000-2010. The response of the pollutant concentrations to the location of blocks and ridges with centres in two main longitudinal sectors (Atlantic, ATL, 30°-0° W; European, EUR, 0°-30° E) is examined. In particular, EUR blocking is associated with a collapse of the boundary layer as well as reduced wind speeds and precipitation occurrence, yielding large positive anomalies which average 12 μg m-3 over the whole continent. Conversely, the enhanced zonal flow around 50°-60° N and the increased occurrence of precipitation over northern-central Europe on days with ATL ridges favour the ventilation of the boundary layer and the impact of washout processes, reducing PM10 concentrations on average by around 8 μg m-3. The presence of EUR blocks is also concurrent with an increased probability of exceeding the air quality target (50 μg m-3 for 24-h averaged PM10) and the local 90th percentiles for this pollutant at many sites in central Europe, while the opposite effect is found for ridges. In addition, the effect of synoptic persistence on the PM10 concentrations is stronger for EUR blocks than for ATL ridges. This could benefit the predictability of PM10 extremes over wide areas of the region. Finally, we have found that the combined or isolated effect of both synoptic patterns can partly control the interannual variability of winter mean PM10 at many sites of north-western and central Europe, with coefficients of determination (R2) exceeding 0.80 for southern Germany. These results indicate that the response of the particulate matter (PM) concentrations to large-scale circulation patterns is stronger than previously reported for Europe and other mid-latitude regions.

  13. Atmospheric stability and PM10 concentrations at far distance from elevated point sources in complex terrain: worst-case episode study.

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    Zoras, S; Triantafyllou, A G; Deligiorgi, D

    2006-09-01

    Atmospheric stability is the most important parameter affecting dilution of air pollutants. It plays a very important role in the investigation of parameters that affect ambient pollutant concentrations, especially in the case of complex terrain areas. In this study, the classification of atmospheric stability by Pasquill-Turner classes and any associated variation of ambient PM10 (particles with aerodynamic diameter<10 microm) concentrations for a region of complex terrain is investigated. Real experimental meteorological and PM10 data are used for a 2-year period from one observation station far distant from the main stack sources and they are related with the classified atmospheric stability categories in an hourly and monthly based distribution. A more detailed analysis is carried out during PM10 episodes for the same period in order to reveal the governing worst-case atmospheric conditions.

  14. Investigations into formation of atmospheric sulfate under high PM 10 concentration

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    Sharma, Mukesh; Kiran, Y. N. V. M.; Shandilya, Kaushik K.

    This study was primarily initiated to understand the consistently low levels of SO 2 in cities in India in spite of rising SO 2 emissions. A literature review suggested the possibility of chemical transformation of SO 2 to SO 4. Thus, the objective of research was to understand the formation of SO 4 as a function of SO 2, and other constituents of atmosphere such as PM 10, water content, Ca (in aerosol) and pH (of aerosol). For this purpose, air quality monitoring was conducted at five locations in the city of Kanpur, India (during October 1999-April 2000) representing various land-use patterns. It was found that the SO 4 levels were considerably high (2.8-43.6 μg m -3) compared to levels in cities in the US (1.9-3.6 μg m -3, Sandberg et al. (J. Air Pollut. Control Assoc. 26 (1976) 559; 15.7-18.4 μg m -3, Altshuller (J. Air Pollut. Control Assoc. 26 (1976) 318; 4.0-14.0 μg m -3 Dockery et al. (J. Med. 329 (1993) 1753), UK (3.2-9.0 μg m -3, QUARG, 1996 http://www.environment.detr.gov.uk/airq/consult/naqs/index.htm), and 25 locations in Europe (0.34-1.68 μg m -3 (1991-1999), EMEP website), but were comparable to the levels observed at Agra (14.67 μg m -3, Kulshrestha et al. Indian J. Radio Space Phys. 24 (1995) 178) and at New Delhi (12.9-27.5 μg m -3, Shandilya, M.E. Thesis, Malaviya National Institute of Technology, Jaipur, India, 2000). The high SO 4 levels could provide a plausible explanation for low SO 2 concentration levels in the city of Kanpur. It was concluded that high levels of PM 10, Ca and high pH of aerosols in atmosphere provide a conducive environment for conversion of SO 2 to SO 4. It was also concluded that the important migration pathway in study area for the transformation of SO 2 to SO 4 appears to be oxidation of SO 2 on the surfaces (of particulate) available in the ambient atmosphere.

  15. Experimental Study on Capture of PM10 Emitted from Coal Combustion with High Gradient Magnetic Field

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    Lu, Duanfeng; Zhao, Changsui; Wu, Xin; Li, Yongwang; Han, Song

    2007-06-01

    Experiments on capturing PM10 emitted from coal combustion with high gradient magnetic field were carried out for the first time. A new fluidized bed aerosol generator was developed for generating fly ash aerosol with diameter less than 10μm constantly. The variation in the particle number concentration caused by high gradient magnetic field was measured with the Electrical Low Pressure Impactor (ELPI). Fly ash particles from combustion of three kinds of coal were sampled. Particle saturation magnetic moment is 0.37emu/g, 1.25emu/g, 2.00emu/g respectively. The results show that for the particles in the size range of 0.1μm˜10μm particle capture efficiency varies from 25% to 40%. The particle with either larger or smaller size has higher capture efficiency, and the particle with medium size (1μm˜3μm) has lower capture efficiency. The particle capture efficiency rises with increase in the particle magnetization, the magnetic field gradient and the filling ratio of ferromagnetic medium, and it reduces with increase in aerosol velocity. The present study indicates that high gradient magnetic separation is an effective way to control fine particle emission from coal combustion.

  16. Modelación de episodios críticos de contaminación por material particulado (PM10 en Santiago de Chile: Comparación de la eficiencia predictiva de los modelos paramétricos y no paramétricos Modeling critical episodes of air pollution by PM10 in Santiago, Chile: Comparison of the predictive efficiency of parametric and non-parametric statistical models

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    Sergio A. Alvarado

    2010-12-01

    Full Text Available Objetivo: Evaluar la eficiencia predictiva de modelos estadísticos paramétricos y no paramétricos para predecir episodios críticos de contaminación por material particulado PM10 del día siguiente, que superen en Santiago de Chile la norma de calidad diaria. Una predicción adecuada de tales episodios permite a la autoridad decretar medidas restrictivas que aminoren la gravedad del episodio, y consecuentemente proteger la salud de la comunidad. Método: Se trabajó con las concentraciones de material particulado PM10 registradas en una estación asociada a la red de monitorización de la calidad del aire MACAM-2, considerando 152 observaciones diarias de 14 variables, y con información meteorológica registrada durante los años 2001 a 2004. Se ajustaron modelos estadísticos paramétricos Gamma usando el paquete estadístico STATA v11, y no paramétricos usando una demo del software estadístico MARS v 2.0 distribuida por Salford-Systems. Resultados: Ambos métodos de modelación presentan una alta correlación entre los valores observados y los predichos. Los modelos Gamma presentan mejores aciertos que MARS para las concentraciones de PM10 con valores Objective: To evaluate the predictive efficiency of two statistical models (one parametric and the other non-parametric to predict critical episodes of air pollution exceeding daily air quality standards in Santiago, Chile by using the next day PM10 maximum 24h value. Accurate prediction of such episodes would allow restrictive measures to be applied by health authorities to reduce their seriousness and protect the community´s health. Methods: We used the PM10 concentrations registered by a station of the Air Quality Monitoring Network (152 daily observations of 14 variables and meteorological information gathered from 2001 to 2004. To construct predictive models, we fitted a parametric Gamma model using STATA v11 software and a non-parametric MARS model by using a demo version of Salford

  17. PM 10 Nonattainment Areas

    Data.gov (United States)

    U.S. Environmental Protection Agency — This data layer identifies areas in the U.S. where air pollution levels have not met the National Ambient Air Quality Standards (NAAQS) for PM 10 and have been...

  18. Influence of meteorology and source variation on airborne PM 10 levels in a high relief tropical Andean city

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    Carlos Mario González-Duque

    2015-01-01

    Full Text Available El análisis de niveles de (PM 10 y su asociación con la meteorología, altura de capa de mezcla y fuentes de contaminación, se realizó en la ciudad tropical andina de Manizales durante un periodo de dos años (enero 2010 a diciembre 2012. Los mayores niveles de PM 10 se observaron en zonas con alta influencia vehicular, con valores de PM 10 en un intervalo de 18 - 69 μg m -3 . Las concentraciones de material particulado fueron influenciadas por factores meteorológicos, mostrando una asociación positiva con la temperatura (r = 0.40, y negativa con la humedad relativa (r = -0.47 y la precipitación (r = -0.38. Los efectos del fenómeno de scavenging por la precipitación fueron observados a través del análisis de concentraciones de PM 10 para periodos secos y húmedos. Los altos niveles de sulfatos observados en el PM 10 en comparación con los demás iones predominantes, fueron consistentes con la influencia de emisiones derivadas del transporte público y automóviles, los cuales utilizan diesel y gasolina como sus principales combustibles. Incrementos en la altura de capa de mezcla en la zona del centro histórico de la ciudad (de 900 m a 1600 m, explican la dilución efectiva de las emisiones provenientes del tráfico vehicular, tal como se observó mediante el monitoreo de PM 10 cada 30 segundos por periodos de 24 horas. Este análisis preliminar sugiere factores de importancia para implementar a futuro técnicas de modelización del PM 10 en ecosistemas tropicales de montaña caracterizados por su alta precipitación y alta densidad poblacional.

  19. ENSO-related PM10 variability on the Korean Peninsula

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    Wie, Jieun; Moon, Byung-Kwon

    2017-10-01

    Particulate matter, defined as particles of less than 10 μm in diameter (PM10), was analyzed over the Korean Peninsula from 2001 to 2015 to examine the influence of the El Niño-Southern Oscillation (ENSO) on subseasonal PM10 variability. The PM10 data were obtained from 151 air quality monitoring stations provided by the Korea Environment Corporation (KECO). Lead-lag correlation analysis, which was performed to investigate the connection between NDJF (November-February) NINO3 index and seasonal mean PM10 data, did not yield any statistically significant correlations. However, using five-pentad moving-averaged PM10 data, statistically significant correlations between NDJF NINO3 index and PM10 variability were found in four subseasonal periods, with alternating positive and negative correlations. In the periods during which PM10 levels on the Korean Peninsula were positively (negatively) correlated with the ENSO index, the positive PM10 anomalies are associated with El Niño (La Niña) years, which implies that the occurrence of high-PM10 events could be modulated by the ENSO phase. In addition, this ENSO-related PM10 variation is negatively correlated with ENSO-related precipitation in the Korean Peninsula, indicating that more (less) wet deposition leads to lower (higher) PM10 level. Therefore, we conclude that the ENSO-induced precipitation anomalies over the Korean Peninsula are mainly responsible for ENSO-related PM10 variations. This study will be helpful for further identifying detailed chemistry-climate processes that control PM10 concentrations.

  20. Direct gravimetric measurements of the mass of the antarctic aerosol collected by high volume sampler: PM10 summer seasonal variation at Terra Nova Bay.

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    Truzzi, Cristina; Lambertucci, Luca; Illuminati, Silvia; Annibaldi, Anna; Scarponi, Giuseppe

    2005-01-01

    An on-site procedure was set up for direct gravimetric measurement of the mass of aerosol collected using high volume impactors (aerodynamic size cut point of 10 microm, PM10); this knowledge has hitherto been unavailable. Using a computerized microbalance in a clean chemistry laboratory, under controlled temperature (+/-0.5 degrees C) and relative humidity (+/-1%), continuous, long time filter mass measurements (hours) were carried out before and after exposure, after a 48 h minimun equilibration at the laboratory conditions. The effect of the electrostatic charge was exhausted in 30-60 min, after which stable measurements were obtained. Measurements of filters exposed for 7-11 days (1.13 m3 min(-1)) in a coastal site near Terra Nova Bay (December 2000 - February 2001), gave results for aerosol mass in the order of 10-20 mg (SD approximately 2 mg), corresponding to atmospheric concentrations of 0.52-1.27 microg m(-3). Data show a seasonal behaviour in the PM10 content with an increase during December - early January, followed by a net decrease. The above results compare well with estimates obtained from proxy data for the Antarctic Peninsula (0.30 microg m(-3)), the Ronne Ice Shelf (1.49 microg m(-3)), and the South Pole (0.18 microg m(-3), summer 1974-1975, and 0.37 microg m(-3), average summer seasons 1975-1976 and 1977-1978), and from direct gravimetric measurements recently obtained from medium volume samplers at McMurdo station (downwind 3.39 microg m(-3), upwind 4.15 microg m(-3)) and at King George Island (2.5 microg m(-3), summer, particle diameter <20 microm). This finding opens the way to the direct measurement of the chemical composition of the Antarctic aerosol and, in turn, to a better knowledge of the snow/air relationships as required for the reconstruction of the chemical composition of past atmospheres from deep ice core data.

  1. PM10: Validatie en equivalentie 2006

    NARCIS (Netherlands)

    Beijk R; Hoogerbrugge R; Hafkenscheid TL; Arkel FT van; Stefess GC; Meulen A van der; Wesseling JP; Sauter FJ; Albers RAW; LVM

    2007-01-01

    In the Dutch National Air Monitoring Network (LML) particulate matter (PM10) is measured at various locations across the Netherlands. In order to ensure the quality of these PM10-measurements two major activities have been carried out. First, in the course of 2006 procedures, device configurations

  2. Health endpoints caused by PM10 Exposure in Ahvaz, Iran

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    Gholamreza Goudarzi

    2014-10-01

    Full Text Available PM10 emissions are defined as PM emissions that are less than ten microns in diameter. Long exposure of suspended particles as showed in his personal life. PM10 can cause harmful health effects such as the prevalence of bronchitis and reduced lung function in children and adults. Major sources of emissions are causing by human intervention particulate road traffic, stationary combustion and industrial processes. The aim of this study was to evaluate health- effects of carbon monoxide exposure in Ahvaz city (located in south-western Iran, during 2012. PM10 data were collected through Ahvaz Meteorological Organization and the Department of Environment. Raw data processing by Excel software includes (instruction set correction of averaging, coding and filtering and after the impact of meteorological parameters was converted as input file to the Air Q model. Finally, respiratory mortality, cardiovascular death and hospital admissions respiratory disease of PM10 exposure was calculated. The results showed that the approximately 17% of total respiratory mortality, cardiovascular death and hospital admissions respiratory disease happened when the PM10 concentrations were more than 30μg/m3. The results showed that the concentration of PM10 was related to Ahvaz with an annual average 321 μg/m3. Sum of cardiovascular and respiratory death attributed to PM10 were 1055 and 189 cases in 2012. The higher percentage of these deaths perhaps could be the result of higher average PM10 or because of sustained high concentration days in Ahvaz. Therefore, the higher relative risk value can depict mismanagement in urban air quality.

  3. PM10 retrieval in urban area from space

    Science.gov (United States)

    Lim, H. S.; MatJafri, M. Z.; Abdullah, K.; Saleh, N. Mohd.

    2007-04-01

    This study determined the relationship between in situ and remote sensing observation to derive an algorithm for PM10 mapping. The main objective of this study was to test the feasibility of using Landsat TM imagery captured on 17 January 2002 for PM10 mapping over Penang Island, Malaysia. A new algorithm was developed based on the aerosol characteristic for air quality estimation. The corresponding PM10 data were measured simultaneously with the acquisition of satellite scene for algorithm regression analysis. Accuracy of the retrieved surface reflectance values is very importance to determine the atmospheric component from the remotely sensed data. In this study, we computed the surface component properties by using ACTOR2 in the PCI Geomatica 9.1 image processing software. The proposed algorithm produced high correlation coefficient (R) and low root-mean-square error (RMS) between the measured and estimated PM10 values. A PM10 map was generated using the proposed algorithm. Finally, the created PM10 map was geometrically corrected and colour-coded for visual interpretation. This study indicated the usefulness of remotely sensed data for air quality studies using the proposed algorithm.

  4. Effect of the Apulia air quality plan on PM10 and benzo(apyrene exceedances

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    L. Trizio

    2016-03-01

    Full Text Available During the last years, several exceedances of PM10 and benzo(apyrene limit values exceedances were recorded in Taranto, a city in southern Italy included in so-called areas at high risk of environmental crisis because of the presence of a heavy industrial district including the largest steel factory in Europe. A study of these critical pollution events showed a close correlation with the wind coming from the industrial site to the adjacent urban area. During 2011, at monitoring sites closes to the industrial area, at least the 65% of PM10 exceedances were related to wind day conditions (characterized by at least 3 consecutive hours of wind coming from 270-360±2deg with an associated speed higher than 7 m/s. For this reason, in 2012 an integrated environmental permit and a regional air quality plan were enacted to reduce pollutant emissions from industrial plants. A study of PM10 levels registered during windy days was performed during critical episodes of pollution highlighting that the difference between windy days and no windy days’ concentrations reduces from 2012 to 2014 in industrial site. False negative events (verified ex-post by observed meteorological data not identified by the forecast model - did not show a significant influence on PM concentration: PM10 values were comparable and sometimes lower than windy days levels. It is reasonable that the new scenario with a relevant reduction emissions form Ilva plant reduced the pollutants contribution from industrial area, contributing to PM10 levels decrease, also in false negative events.

  5. Modeling Exposures to the Oxidative Potential of PM10

    Science.gov (United States)

    2012-01-01

    Differences in the toxicity of ambient particulate matter (PM) due to varying particle composition across locations may contribute to variability in results from air pollution epidemiologic studies. Though most studies have used PM mass concentration as the exposure metric, an alternative which accounts for particle toxicity due to varying particle composition may better elucidate whether PM from specific sources is responsible for observed health effects. The oxidative potential (OP) of PM PM10) was measured as the rate of depletion of the antioxidant reduced glutathione (GSH) in a model of human respiratory tract lining fluid. Using a database of GSH OP measures collected in greater London, U.K. from 2002 to 2006, we developed and validated a predictive spatiotemporal model of the weekly GSH OP of PM10 that included geographic predictors. Predicted levels of OP were then used in combination with those of weekly PM10 mass to estimate exposure to PM10 weighted by its OP. Using cross-validation (CV), brake and tire wear emissions of PM10 from traffic within 50 m and tailpipe emissions of nitrogen oxides from heavy-goods vehicles within 100 m were important predictors of GSH OP levels. Predictive accuracy of the models was high for PM10 (CV R2=0.83) but only moderate for GSH OP (CV R2 = 0.44) when comparing weekly levels; however, the GSH OP model predicted spatial trends well (spatial CV R2 = 0.73). Results suggest that PM10 emitted from traffic sources, specifically brake and tire wear, has a higher OP than that from other sources, and that this effect is very local, occurring within 50–100 m of roadways. PMID:22731499

  6. Algorithm for PM10 Mapping using Landsat TM Data

    Science.gov (United States)

    Hwee San, Hslim; Matjafri, M. Z.; Abdullah, Abdul K.; Chow Jeng, C. J.

    section A new algorithm was developed for detecting and mapping air pollution from Landsat TM images PM10 measumenets were collected simultaneously with the satellite image acquisition The algorithm was derived based on the aerosol optical reflectance model and it was calibrated to measure the concentration of the pollutants The measured satellite reflectance at the top of the atmosphere rho TOA was subtracted by the amount given by the surface reflectance to obtain the atmospheric reflectance A total of 7 dates of Landsat TM satellite images were analysed in this study The atmospheric reflectance values corresponding to the locations of the PM10 measurements of the each image ware combined and related to their PM10 values The collected PM10 measurements were combined for algorithm calibration The coefficients of the calibrated algorithm were determined and used to generate the air quality maps for all images This newly developed algorithm was used to estimate PM10 concentration over Penang and produced a high degree of accuracy

  7. Chemical composition of PM10 and PM1 at the high-altitude Himalayan station Nepal Climate Observatory-Pyramid (NCO-P (5079 m a.s.l.

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    J. Cozic

    2010-05-01

    Full Text Available We report chemical composition data for PM10 and PM1 from the Nepal Climate Observatory-Pyramid (NCO-P, the world's highest aerosol observatory, located at 5079 m a.s.l. at the foothills of Mt. Everest. Despite its high altitude, the average PM10 mass apportioned by the chemical analyses is of the order of 6 μg m−3 (i.e., 10 μg/scm, with almost a half of this mass accounted for by organic matter, elemental carbon (EC and inorganic ions, the rest being mineral dust. Organic matter, in particular, accounted for by 2.0 μg m−3 (i.e., 3.6 μg/scm on a yearly basis, and it is by far the major PM10 component beside mineral oxides. Non-negligible concentrations of EC were also observed (0.36 μg/scm, confirming that light-absorbing aerosol produced from combustion sources can be efficiently transported up the altitudes of Himalayan glaciers. The concentrations of carbonaceous and ionic aerosols follow a common time trend with a maximum in the premonsoon season, a minimum during the monsoon and a slow recovery during the postmonsoon and dry seasons, which is the same phenomenology observed for other Nepalese Himalayan sites in previous studies. Such seasonal cycle can be explained by the seasonal variations of dry and moist convection and of wet scavenging processes characterizing the climate of north Indian subcontinent. We document the effect of orographic transport of carbonaceous and sulphate particles upslope the Himalayas, showing that the valley breeze circulation, which is almost permanently active during the out-of-monsoon season, greatly impacts the chemical composition of PM10 and PM1 in the high Himalayas and provides an efficient mechanism for bringing anthropogenic aerosols into the Asian upper troposphere (>5000 m a.s.l.. The concentrations of mineral dust are impacted to a smaller extent by valley breezes and follow a unique seasonal cycle which suggest multiple source areas in central and south-west Asia. Our findings, based on

  8. [Potential human health effects of PM10 exposure in Poland].

    Science.gov (United States)

    Skotak, Krzysztof; Swiatczak, Janusz

    2008-01-01

    Short and long-term exposure to people of the fine particulate matter concentrations (PM10) cause ill-health endpoints such as increased hospital admissions for respiratory and cardio. vascular disease. Many researches and studies have also shown the associations with increased daily mortality, in total and due to cardiovascular and respiratory causes. The adverse health effect associated with the PM10 is observed mainly in the high density populated area where threshold values are excided. Estimation of the level of selected ill-health endpoints (mentioned above) as a result of the PM10 exposure in some areas in Poland was the main aim of the project. Final results have been done based on AirQ software, elaborated and delivered by WHO, and measurements from National Air Quality Monitoring System. The maximum values of mentioned ill-health endpoints (calculated per 100 thousand inhabitants) were obtained for high density and polluted industrial regions in the southern part of Poland. The best situation concerning indicators is observed in the northern part of the country.

  9. 75 FR 26898 - Determination of Attainment for PM-10; Fort Hall PM-10 Nonattainment Area, Idaho

    Science.gov (United States)

    2010-05-13

    ...\\. EPA also promulgated secondary PM-10 standards that were identical to the primary standards. Effective... establishment of the Ballard site to determine the correlation of monitoring data between the primary site and... good correlation of data between the primary site and several of the potential alternate site locations...

  10. Studies on particulate matter (PM10) and its precursors over urban environment of Reading, UK

    Science.gov (United States)

    Madhavi Latha, K.; Highwood, E. J.

    2006-09-01

    The extent to which airborne particles penetrate into the human respiratory system is determined mainly by their size, with possible health effects. The research over the scientific evidence of the role of airborne particles in adverse health effects has been intensified in recent years. In the present study, seasonal variations of PM10 and its relation with anthropogenic activities have been studied by using the data from UK National Air Quality Archive over Reading, UK. The diurnal variation of PM10 shows a morning peak during 7:00 10:00 LT and an evening peak during 19:00 22:00 LT. The variation between 12:00 and 17:00 LT remains more or less steady for PM10 with the minimum value of ˜16 μg m-3. PM10 and black smoke (BS) concentrations during weekdays were found to be high compared to weekends. A reduction in the concentration of PM10 has been found during the Christmas holidays compared to normal days during December. Seasonal variations of PM10 showed high values during spring compared to other seasons. A linear relationship has been found between PM10 and NOx during March, July, November and December suggesting that most of the PM10 is due to local traffic exhaust emissions. PM10 and SO2 concentrations showed positive correlation with the correlation coefficient of R=0.65 over the study area. Seasonal variations of SO2 and NOx showed high concentrations during winter and low concentrations during spring. Fraction of BS in PM10 has been found to be 50% during 2004 over the study area.

  11. Assessment of the clear-sky bias issue using continuous PM10 data from two AERONET sites in Korea.

    Science.gov (United States)

    Choi, Yongjoo; Ghim, Young Sung

    2017-03-01

    A bias in clear-sky conditions that will be involved in estimating particulate matter (PM) concentration from aerosol optical depth (AOD) was examined using PM10 from two Aerosol Robotic Network sites in Korea. The study periods were between 2004 and 2007 at Anmyon and between 2003 and 2011 at Gosan, when both PM10 and AOD were available. Mean PM10 when AOD was available (PMAOD) was higher than that from all PM10 data (PMall) by 5.1 and 9.9μg/m3 at Anmyon and Gosan, which accounted for 11% and 26% of PMall, respectively. Because of a difference between mean PM10 under daytime clear-sky conditions (PMclear) and PMAOD, the variations in ΔPM10, the difference of PMall from PMclear rather than from PMAOD, were investigated. Although monthly variations in ΔPM10 at the two sites were different, they were positively correlated to those in ΔT, similarly defined as ΔPM10 except for temperature, at both sites. ΔPM10 at Anmyon decreased to a negative value in January due to an influence of the Siberian continental high-pressure system while ΔPM10 at Gosan was high in winter due to an effect of photochemical production at higher temperatures than at Anmyon. Copyright © 2016. Published by Elsevier B.V.

  12. Spatiotemporal variations of ambient PM10 source contributions in Beijing in 2004 using positive matrix factorization

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    T. Chen

    2008-05-01

    Full Text Available Source contributions to ambient PM10 (particles with an aerodynamic diameter of 10 μm or less in Beijing, China were determined with positive matrix factorization (PMF based on ambient PM10 composition data including concentrations of organic carbon (OC, elemental carbon (EC, ions and metal elements, which were simultaneously obtained at six sites through January, April, July and October in 2004. Results from PMF indicated that seven major sources of ambient PM10 were urban fugitive dust, crustal soil, coal combustion, secondary sulfate, secondary nitrate, biomass burning with municipal incineration, and vehicle emission, respectively. In paticular, urban fugitive dust and crustal soil as two types of dust sources with similar chemical characteristics were differentiated by PMF. Urban fugitive dust contributed the most, accounting for 34.4% of total PM10 mass on an annual basis, with relatively high contributions in all four months, and even covered 50% in April. It also showed higher contributions in southwestern and southeastern areas than in central urban areas. Coal combustion was found to be the primary contributor in January, showing higher contributions in urban areas than in suburban areas with seasonal variation peaking in winter, which accounted for 15.5% of the annual average PM10 concentration. Secondary sulfate and secondary nitrate combined as the largest contributor to PM10 in July and October, with strong seasonal variation peaking in summer, accounting for 38.8% and 31.5% of the total PM10 mass in July and October, respectively. Biomass burning with municipal incineration contributions were found in all four months and accounted for 9.8% of the annual average PM10 mass concentration, with obviously higher contribution in October than in other months. Incineration sources were probably located in southwestern Beijing. Contribution from vehicle emission accounted for 5.0% and exhibited no significant seasonal variation. In sum

  13. PM10 source apportionment in Milan (Italy) using time-resolved data.

    Science.gov (United States)

    Bernardoni, Vera; Vecchi, Roberta; Valli, Gianluigi; Piazzalunga, Andrea; Fermo, Paola

    2011-10-15

    In this work Positive Matrix Factorization (PMF) was applied to 4-hour resolved PM10 data collected in Milan (Italy) during summer and winter 2006. PM10 characterisation included elements (Mg-Pb), main inorganic ions (NH(4)(+), NO(3)(-), SO(4)(2-)), levoglucosan and its isomers (mannosan and galactosan), and organic and elemental carbon (OC and EC). PMF resolved seven factors that were assigned to construction works, re-suspended dust, secondary sulphate, traffic, industry, secondary nitrate, and wood burning. Multi Linear Regression was applied to obtain the PM10 source apportionment. The 4-hour temporal resolution allowed the estimation of the factor contributions during peculiar episodes, which would have not been detected with the traditional 24-hour sampling strategy. Copyright © 2011 Elsevier B.V. All rights reserved.

  14. Analysis of spatial and temporal variations of PM 10 concentrations in the Netherlands using Kalman filtering

    Science.gov (United States)

    van der Wal, J. T.; Janssen, L. H. J. M.

    The spatial and temporal variations of PM10 concentrations in the Netherlands as measured by the National Air Quality Monitoring Network in the period of 1993-1994 have been analysed using descriptive statistics, principal component analysis (PCA) and Kalman filtering. Spatial differences in PM10 concentrations in the Netherlands are rather small. PM10 concentrations may be elevated by about 10-20% with respect to the yearly average, which is about 40 μg/m 3, in areas with local sources such as traffic or other urban, industrial or agricultural sources. Actual PM10 concentrations vary between 20 and 50 μg/m 3 throughout the year. During episodes, PM10 concentrations may increase to 4 to 5 times the annual average (>200 μg/m 3). The large amount of variance explained by the first component of PCA, i.e. 85%, shows that all measuring stations observe the same pattern of daily variations which is mainly governed by large-scale weather systems.The daily variations are analysed using multiple-linear regression and Kalman filtering; the latter employed as a time-varying linear regression technique. The results of the both methods are compared and show that using wind direction, temperature and duration of precipitation as variables, ordinary linear regression explains about 25% of the variance of PM10 concentrations, while the application of the Kalman filter explains about 45% of the variance. The improvement using the Kalman filter is primarily obtained by making the explaining variables time dependent. This shows a significant effect of seasonal variation on temperature and wind direction at PM10 levels.

  15. Seasonal variation, risk assessment and source estimation of PM 10 and PM10-bound PAHs in the ambient air of Chiang Mai and Lamphun, Thailand.

    Science.gov (United States)

    Pengchai, Petch; Chantara, Somporn; Sopajaree, Khajornsak; Wangkarn, Sunanta; Tengcharoenkul, Urai; Rayanakorn, Mongkon

    2009-07-01

    Daily PM10 concentrations were measured at four sampling stations located in Chiang Mai and Lamphun provinces, Thailand. The sampling scheme was conducted during June 2005 to June 2006; every 3 days for 24 h in each sampling period. The result revealed that all stations shared the same pattern, in which the PM10 (particulate matters with diameter of less than 10 microm) concentration increased at the beginning of dry season (December) and reached its peak in March before decreasing by the end of April. The maximum PM10 concentration for each sampling station was in the range of 140-182 microg/m(3) which was 1.1-1.5 times higher than the Thai ambient air quality standard of 120 microg/m(3). This distinctly high concentration of PM10 in the dry season (Dec. 05-Mar. 06) was recognized as a unique seasonal pattern for the northern part of Thailand. PM10 concentration had a medium level of negative correlation (r = -0.696 to -0.635) with the visibility data. Comparing the maximum PM10 concentration detected at each sampling station to the permitted PM10 level of the national air quality standard, the warning visibility values for the PM10 pollution-watch system were determined as 10 km for Chiang Mai Province and 5 km for Lamphun Province. From the analysis of PM10 constituents, no component exceeded the national air quality standard. The total concentrations of PM10-bond polycyclic aromatic hydrocarbons (PAHs) are calculated in terms of total toxicity equivalent concentrations (TTECs) using the toxicity equivalent factors (TEFs) method. TTECs in Chiang Mai and Lamphun ambient air was found at a level comparable to those observed in Nagasaki, Bangkok and Rome and at a lower level than those reported at Copenhagen. The annual number of lung cancer cases for Chiang Mai and Lamphun Provinces was estimated at two cases/year which was lower than the number of cases in Bangkok (27 cases/year). The principal component analysis/absolute principal component scores (PCA

  16. A regression approach for estimating multiday adverse health effects of PM10 when daily PM10 data are unavailable.

    Science.gov (United States)

    Martin, Michael A; Roberts, Steven

    2008-06-15

    The authors propose a regression-based approach for obtaining multiday estimates of the adverse health effects of ambient particulate matter less than 10 microm in diameter (PM(10)) when daily PM(10) time-series data are unavailable. This situation is common in the United States, because most US cities take PM(10) measurements every 6 days. Current evidence suggests that adverse effects of PM(10) are not concentrated on a single day but rather are spread out over multiple days, so the unavailability of daily PM(10) data presents a problem for the estimation of these effects. The proposed model estimates weights that are used to construct a linear combination of single-lag PM(10) effect estimates obtained from the available PM(10) data. It is shown that this new approach provides estimates of the effect of PM(10) on mortality that have less bias and mean squared error than currently available methods. Application of this method to the US cities contained in the National Morbidity, Mortality, and Air Pollution Study database produces an estimated national average effect of PM(10) on nonaccidental mortality in persons over age 65 years, corresponding to a 0.32% increase per 10-microg/m(3) increment in PM(10). The estimated effects for cardiorespiratory mortality and other mortality are 0.34% and 0.22%, respectively.

  17. Validación de un método de análisis para la determinación de hidrocarburos aromáticos policíclicos por cromatografía líquida de alta eficiencia en partículas PM10 Y PM2,5 Validation of an analytical method for the determination of polycyclic aromatic hydrocarbons by high efficiency liquid chromatography in PM10 and PM2, 5

    Directory of Open Access Journals (Sweden)

    Jorge Herrera Murillo

    2012-11-01

    Full Text Available Se validó un método analítico para la determinación de hidrocarburos aromáticos policíclicos presentes en partículas PM10 y PM 2,5 recolectadas en el aire mediante cromatografía líquida de alta resolución (CLAR. Los HPA incluidos en la metodología comprenden: Naftaleno, Acenaftileno, Fluoreno, Acenafteno, Fenantreno, Antraceno, Fluoranteno, Pireno, Benzo (aantraceno, Criseno, Benzo (bfluoranteno, Benzo (kfluoranteno, Benzo (apireno, Dibenzo (a,h antraceno, Benzo (g,h,iperileno y Indeno (1,2,3- C.D pireno. Para estos compuestos, los límites de detección y cuantificación estuvieron entre 0,02 y 0,1 mg/l utilizando un equipo marca Dionex modelo ICS- 3000, el cual consta de dos detectores en serie, un ultravioleta modelo VWD-1 y un detector de fluorescencia modelo RF-2000, permitiendo diferenciar las distintas señales de absorción y emisión para la debida identificación de los distintos compuestos. Para todos los compuestos analizados, el factor de recuperación resultó no ser significativamente diferente de uno y la repetibilidad y reproducibilidad resultó ser adecuada para un método analítico, especialmente para los HPA más ligeros.An analytical method for polycyclic aromatic hydrocarbons in PM10 and PM 2.5 par ticles collected from air by high performance liquid chromatography (HPLC was validated. The PAHs analyzed in the methodology include: Naphthalene, Acenaphthylene, Fluorene, Acenaphthene, Phenanthrene, Anthracene, fluoranthene,pyrene,Benzo(aanthracene,Chrysene, Benzo (bfluoranthene, Benzo (kfluoranthene, Benzo (apyrene Dibenzo (a, hanthracene, Benzo (g, h, iperylene and Indeno (1,2,3-CDpyrene. For these compounds, the detection limit and quantification limit were between 0,02 and 0,1 mg/l using a DIONEX ICS 3000 model cromatograph, that has two in serie detectors: UV/Vis and Fluorescense, separating the different absorption and emission signals for proper identification of individual compounds. For all the compounds

  18. Spatial and temporal variations in airborne particulate matter (PM 10 and PM 2.5) across Spain 1999–2005

    National Research Council Canada - National Science Library

    Querol, X; Alastuey, A; Moreno, T; Viana, M.M; Castillo, S; Pey, J; Rodríguez, S; Artiñano, B; Salvador, P; Sánchez, M; Garcia Dos Santos, S; Herce Garraleta, M.D; Fernandez-Patier, R; Moreno-Grau, S; Negral, L; Minguillón, M.C; Monfort, E; Sanz, M.J; Palomo-Marín, R; Pinilla-Gil, E; Cuevas, E; de la Rosa, J; Sánchez de la Campa, A

    2008-01-01

    .... PM 10 levels in Spain contain a high proportion of resuspended anthropogenic and natural particles ( Querol et al., 2004a ). Thus, the drastic diminution of average limit values of 150 and 300 μg TSP m −3 annual and daily respectively in 2001, to 40 μg PM 10 m −3 (annual) and 50 μg PM 10 m −3 (daily; percentile 90....

  19. Suspended Particulates Concentration (PM10 under Unstable Atmospheric Conditions over Subtropical Urban Area (Qena, Egypt

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    M. El-Nouby Adam

    2013-01-01

    Full Text Available The main purpose of this study is to evaluate the suspended particulates (PM10 in the atmosphere under unstable atmospheric conditions. The variation of PM10 was investigated and primary statistics were employed. The results show that, the PM10 concentrations values ranged from 6.00 to 646.74 μg m−3. The average value of PM10 is equal to 114.32 μg m−3. The high values were recorded in April and May (155.17 μg m−3 and 171.82 μg m−3, respectively and the low values were noted in February and December (73.86 μg m−3 and 74.05 μg m−3, respectively. The average value of PM10 of the hot season (125.35 × 10−6 g m−3 was higher than its value for the cold season (89.27 μg m−3. In addition, the effect of weather elements (air temperature, humidity and wind on the concentration of PM10 was determined. The multiple R between PM10 and these elements ranged from 0.05 to 0.47 and its value increased to reach 0.73 for the monthly average of the database used. Finally, the PM10 concentrations were grouped depending on their associated atmospheric stability class. These average values were equal to 122.80 ± 9 μg m−3 (highly unstable or convective, 109.37 ± 12 μg m−3 (moderately unstable and 104.42 ± 15 μg m−3 (slightly unstable.

  20. 40 CFR 52.378 - Control strategy: PM10

    Science.gov (United States)

    2010-07-01

    ... 40 Protection of Environment 3 2010-07-01 2010-07-01 false Control strategy: PM10 52.378 Section 52.378 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) AIR PROGRAMS (CONTINUED) APPROVAL AND PROMULGATION OF IMPLEMENTATION PLANS Connecticut § 52.378 Control strategy: PM10 (a) Approval...

  1. Conservation tillage reduces PM10 emissions in dairy forage rotations

    Science.gov (United States)

    Madden, N. M.; Southard, R. J.; Mitchell, J. P.

    2008-05-01

    The San Joaquin Valley (SJV) is a United States Environmental Protection Agency (USEPA) serious non-attainment area for PM10, particulate matter with an aerodynamic diameter dairy forage production to determine if, and to what extent, CT can reduce agricultural PM10. Vertical profiling methods were used to calculate PM10 emission factors for both systems at two farm locations. Test results showed CT reduced PM10 emissions by about 85% on both farms in spring 2004 and by 52% on one farm to 93% on another farm in spring 2005. PM10 reductions were mainly due to the fewer number of tillage operations in CT systems (zero or one operation compared to three to six in ST) and the higher soil water contents at which CT operations can be performed. Aside from soil moisture, degree of soil pulverization, characterized in the second year of this study by weighted mean ped diameter (WMPD) also proved to be an important determinant of PM10 emissions. The ST second disking always had a higher PM10 emission factor than the first disking despite any change in soil water content. The WMPD decreased 39% between the two diskings. Large discrepancies between PM10 emission factors measured in this study and those used for regulatory purposes in California emphasize the continued need to refine monitoring strategies under varying field conditions to improve accuracy of emission factors and to understand how soil and cropping management affect dust production.

  2. 75 FR 80117 - Methods for Measurement of Filterable PM10

    Science.gov (United States)

    2010-12-21

    ... able to use conventional 4-inch ports if the combined dimension of the PM 10 cyclone and the nozzle... difference between measured PM 10 concentration and the measured PM 2.5 concentration). The amendments also... to recover the organic CPM. The CPM filter is extracted using water to recover the inorganic...

  3. Performance characteristics of a low-volume PM10 sampler

    Science.gov (United States)

    Four identical PM10 pre-separators, along with four identical low-volume (1m3 hr-1) total suspended particulate (TSP) samplers were tested side-by-side in a controlled laboratory particulate matter (PM) chamber. The four PM10 and four TSP samplers were also tested in an oil pipe-cleaning field to ev...

  4. Monsoonal differences and probability distribution of PM(10) concentration.

    Science.gov (United States)

    Md Yusof, Noor Faizah Fitri; Ramli, Nor Azam; Yahaya, Ahmad Shukri; Sansuddin, Nurulilyana; Ghazali, Nurul Adyani; Al Madhoun, Wesam

    2010-04-01

    There are many factors that influence PM(10) concentration in the atmosphere. This paper will look at the PM(10) concentration in relation with the wet season (north east monsoon) and dry season (south west monsoon) in Seberang Perai, Malaysia from the year 2000 to 2004. It is expected that PM(10) will reach the peak during south west monsoon as the weather during this season becomes dry and this study has proved that the highest PM(10) concentrations in 2000 to 2004 were recorded in this monsoon. Two probability distributions using Weibull and lognormal were used to model the PM(10) concentration. The best model used for prediction was selected based on performance indicators. Lognormal distribution represents the data better than Weibull distribution model for 2000, 2001, and 2002. However, for 2003 and 2004, Weibull distribution represents better than the lognormal distribution. The proposed distributions were successfully used for estimation of exceedences and predicting the return periods of the sequence year.

  5. PM10 retrieval over the water surface of Penang Straits from Landsat TM5 data

    Science.gov (United States)

    Lim, H. S.; MatJafri, M. Z.; Abdullah, K.; Saleh, N. Mohd.; Hashim, S. A.

    2007-04-01

    In this study, we used the Landsat TM data captured on 9 March 2006 for the retrieval of PM10 over the water surface of Penang Straits, Malaysia. PM10 measurements were collected using a handheld DustTrak TM meter simultaneously with the remotely sensed data acquisition. The PCI Geomatica version 9.1 digital image processing software was used in all image-processing analysis. An algorithm was developed based on the atmospheric optical characteristic. The digital numbers were extracted corresponding to the ground-truth locations for each band and then converted into radiance and reflectance values. The reflectance measured from the satellite [reflectance at the top of atmospheric, ρ(TOA)] was subtracted by the amount given by the surface reflectance to obtain the atmospheric reflectance. Then the atmospheric reflectance was related to the PM10 using regression analysis. These atmospheric reflectance values were used for calibration of the PM10 algorithm. The developed algorithm was used to correlate the digital signal and the PM10 concentration. The proposed algorithm produced a high correlation coefficient (R) and low root-mean-square error (RMS). The PM10 concentration was generated using this algorithm over the water surface of Penang straits.

  6. Non-Exhaust PM10 and Road Dust

    OpenAIRE

    Lundberg, Joacim

    2018-01-01

    Non-exhaust PM10 is an issue in the urban environment linked to health issues. Emissions of non-exhaust PM10 is relatable to pavement properties. Also of importance is resuspension of road dust stored from surfaces. This depends on the traffic and metrological conditions. Given this, the purpose of the thesis was to give an overview limited to Sweden and the Nordic countries regarding non-exhaust PM10 emissions and road dust. The overview includes how particles are related to human health. Al...

  7. Particulate Matter (PM 10) Monitoring in South Tyrol, Italian Alps Using MODIS Satellite Data

    Science.gov (United States)

    Tetzalaff, A.; Castelli, M.; Emili, E.; Bolzacchini, E.; Ferrero, L.; Ferrini, B.; Cappelletti, D.; Scardazza, F.; Perrone, M. G.; Sangiorgi, G.; Petitta, M.

    2011-01-01

    In 2008, the European Academy (EURAC) and the Autonomous Province of Bolzano started a research project to monitor air quality in South Tyrol: Near real- time satellite data from the MODIS sensor and in-situ measurements from a state-of-the-art measurement network with 15 ground stations are integrated to produce daily air quality products. In this work, we discuss the applicability of satellite based aerosol retrievals for PM10 monitoring in a mountainous region. We present two different PM10 products generated at EURAC for the region of South Tyrol (satellite based PM10 maps and assimilated PM10 maps) and we describe the corresponding retrieval methods. Using in-situ PM10 data from 2007 and 2008 from all stations in South Tyrol, we found correlations between the NASA standard MODIS Aerosol Optical Depth (AOD) and in situ PM10 which are significant lower than correlations reported from other regions. In our study, a physical model which considers boundary layer height estimates from NWP data, has shown best agreement with observed ground PM10 (average correlation 0.49). The 2-σ (95% probability) interval for the predicted PM values is rather large (average 45 μg/m3). To better understand the origin of such high uncertainties and to verify our assumptions, we have conducted balloon soundings at one test-site in South Tyrol during a 10 days field campaign in winter 2010. The site is situated within an Alpine Valley. Vertical aerosol properties have been investigated up to four times per day, from ground level up to 800m height. Beside standard meteorological parameters, we have measured the aerosol number size distribution in ambient relative humidity conditions and dry air as well as the black carbon content.

  8. Cellular and immunologic injury with PM-10 inhalation

    OpenAIRE

    Kleinman, MT; Bhalla, DK; Mautz, WJ; Phalen, RF

    1995-01-01

    Airborne particles Jess than 10 μsm (PM-10) in mass median aerodynamic diameter (MMAD) are associated with adverse effects on human health including chronic lung diseases and mortality, but the mechanisms by which these particles might cause or aggravate diseases are not specifically known. PM-10 represents a complex mixture, both in terms of size and chemical composition, and it contains both aqueous-media soluble and insoluble particles. Furthermore, the ambient aerosol composition varies m...

  9. Soy aeroallergens in thoracic fraction particles (PM10).

    Science.gov (United States)

    Gómez-Ollés, S; Untoria, M D; Villalbi, J R; Muñoz, X; Morell, F; Cruz, M J

    2013-01-01

    The aerodynamic diameter of biological particles determines their ability to penetrate the human respiratory system. To assess the content of allergens less than 10 pm in diameter in the particle fraction of airborne dust in order to improve control of exposure to harmful soybean aeroallergens. In this study, 98 pairs of particulate matter measuring less than 10 microm in diameter (PM10) and total suspended particulate (TSP) filters were collected in parallel and analyzed for soy aeroallergens by the inhibition enzyme-linked immunosorbent assay. The median levels found were 6 and 22.5 U/m3 for PM10 and TSP filters, respectively. A good correlation was found between soy aeroallergen content in PM10 and TSP filters. The median proportion of soy aeroallergen content in PM10 filters versusTSP filters was 28.6%, and varied widely across different days. Due to this wide variation between days, it seems that soy aeroallergen content in TSP filters is not a good surrogate of soy allergen content in PM10 filters. Further clinical studies should be conducted to assess differences in the health impact of soy allergen content in PM10 filters and TSP filters.

  10. Regression trees modeling and forecasting of PM10 air pollution in urban areas

    Science.gov (United States)

    Stoimenova, M.; Voynikova, D.; Ivanov, A.; Gocheva-Ilieva, S.; Iliev, I.

    2017-10-01

    Fine particulate matter (PM10) air pollution is a serious problem affecting the health of the population in many Bulgarian cities. As an example, the object of this study is the pollution with PM10 of the town of Pleven, Northern Bulgaria. The measured concentrations of this air pollutant for this city consistently exceeded the permissible limits set by European and national legislation. Based on data for the last 6 years (2011-2016), the analysis shows that this applies both to the daily limit of 50 micrograms per cubic meter and the allowable number of daily concentration exceedances to 35 per year. Also, the average annual concentration of PM10 exceeded the prescribed norm of no more than 40 micrograms per cubic meter. The aim of this work is to build high performance mathematical models for effective prediction and forecasting the level of PM10 pollution. The study was conducted with the powerful flexible data mining technique Classification and Regression Trees (CART). The values of PM10 were fitted with respect to meteorological data such as maximum and minimum air temperature, relative humidity, wind speed and direction and others, as well as with time and autoregressive variables. As a result the obtained CART models demonstrate high predictive ability and fit the actual data with up to 80%. The best models were applied for forecasting the level pollution for 3 to 7 days ahead. An interpretation of the modeling results is presented.

  11. Developing a Hierarchical Model for the Spatial Analysis of PM10 Pollution Extremes in the Mexico City Metropolitan Area

    Directory of Open Access Journals (Sweden)

    Alejandro Ivan Aguirre-Salado

    2017-07-01

    Full Text Available We implemented a spatial model for analysing PM 10 maxima across the Mexico City metropolitan area during the period 1995–2016. We assumed that these maxima follow a non-identical generalized extreme value (GEV distribution and modeled the trend by introducing multivariate smoothing spline functions into the probability GEV distribution. A flexible, three-stage hierarchical Bayesian approach was developed to analyse the distribution of the PM 10 maxima in space and time. We evaluated the statistical model’s performance by using a simulation study. The results showed strong evidence of a positive correlation between the PM 10 maxima and the longitude and latitude. The relationship between time and the PM 10 maxima was negative, indicating a decreasing trend over time. Finally, a high risk of PM 10 maxima presenting levels above 1000 μ g/m 3 (return period: 25 yr was observed in the northwestern region of the study area.

  12. Developing a Hierarchical Model for the Spatial Analysis of PM10Pollution Extremes in the Mexico City Metropolitan Area.

    Science.gov (United States)

    Aguirre-Salado, Alejandro Ivan; Vaquera-Huerta, Humberto; Aguirre-Salado, Carlos Arturo; Reyes-Mora, Silvia; Olvera-Cervantes, Ana Delia; Lancho-Romero, Guillermo Arturo; Soubervielle-Montalvo, Carlos

    2017-07-06

    We implemented a spatial model for analysing PM 10 maxima across the Mexico City metropolitan area during the period 1995-2016. We assumed that these maxima follow a non-identical generalized extreme value (GEV) distribution and modeled the trend by introducing multivariate smoothing spline functions into the probability GEV distribution. A flexible, three-stage hierarchical Bayesian approach was developed to analyse the distribution of the PM 10 maxima in space and time. We evaluated the statistical model's performance by using a simulation study. The results showed strong evidence of a positive correlation between the PM 10 maxima and the longitude and latitude. The relationship between time and the PM 10 maxima was negative, indicating a decreasing trend over time. Finally, a high risk of PM 10 maxima presenting levels above 1000 μ g/m 3 (return period: 25 yr) was observed in the northwestern region of the study area.

  13. Monetary Valuation of PM10-Related Health Risks in Beijing China: The Necessity for PM10 Pollution Indemnity.

    Science.gov (United States)

    Yin, Hao; Xu, Linyu; Cai, Yanpeng

    2015-08-21

    Severe health risks caused by PM10 (particulate matter with an aerodynamic diameter ≤10 μm) pollution have induced inevitable economic losses and have rendered pressure on the sustainable development of society as a whole. In China, with the "Polluters Pay Principle", polluters should pay for the pollution they have caused, but how much they should pay remains an intractable problem for policy makers. This paper integrated an epidemiological exposure-response model with economics methods, including the Amended Human Capital (AHC) approach and the Cost of Illness (COI) method, to value the economic loss of PM10-related health risks in 16 districts and also 4 functional zones in Beijing from 2008 to 2012. The results show that from 2008 to 2012 the estimated annual deaths caused by PM10 in Beijing are around 56,000, 58,000, 63,000, 61,000 and 59,000, respectively, while the economic losses related to health damage increased from around 23 to 31 billion dollars that PM10 polluters should pay for pollution victims between 2008 and 2012. It is illustrated that not only PM10 concentration but also many other social economic factors influence PM10-related health economic losses, which makes health economic losses show a time lag discrepancy compared with the decline of PM10 concentration. In conclusion, health economic loss evaluation is imperative in the pollution indemnity system establishment and should be considered for the urban planning and policy making to control the burgeoning PM10 health economic loss.

  14. Monetary Valuation of PM10-Related Health Risks in Beijing China: The Necessity for PM10 Pollution Indemnity

    Science.gov (United States)

    Yin, Hao; Xu, Linyu; Cai, Yanpeng

    2015-01-01

    Severe health risks caused by PM10 (particulate matter with an aerodynamic diameter ≤10 μm) pollution have induced inevitable economic losses and have rendered pressure on the sustainable development of society as a whole. In China, with the “Polluters Pay Principle”, polluters should pay for the pollution they have caused, but how much they should pay remains an intractable problem for policy makers. This paper integrated an epidemiological exposure-response model with economics methods, including the Amended Human Capital (AHC) approach and the Cost of Illness (COI) method, to value the economic loss of PM10-related health risks in 16 districts and also 4 functional zones in Beijing from 2008 to 2012. The results show that from 2008 to 2012 the estimated annual deaths caused by PM10 in Beijing are around 56,000, 58,000, 63,000, 61,000 and 59,000, respectively, while the economic losses related to health damage increased from around 23 to 31 billion dollars that PM10 polluters should pay for pollution victims between 2008 and 2012. It is illustrated that not only PM10 concentration but also many other social economic factors influence PM10-related health economic losses, which makes health economic losses show a time lag discrepancy compared with the decline of PM10 concentration. In conclusion, health economic loss evaluation is imperative in the pollution indemnity system establishment and should be considered for the urban planning and policy making to control the burgeoning PM10 health economic loss. PMID:26308020

  15. Temporal analysis of PM10 in Metropolitan Monterrey, México.

    Science.gov (United States)

    González-Santiago, Omar; Badillo-Castañeda, Christian T; Kahl, Jonathan D W; Ramírez-Lara, Evangelina; Balderas-Renteria, Isaías

    2011-05-01

    The Monterrey Metropolitan Area (MMA) is the third largest city in Mexico. Few studies have been carried out regarding its air pollution. The aim of this study was to analyze the temporal behavior of PM10 (particulate matter Monitoreo Ambiental" (Integrated Environmental Monitoring System) network from 2006 to 2008 were used. PM10 levels were compared among the stations by year, season, and day of week. A bootstrap technique was used to obtain subsamples to which Student's t test and ANOVA were applied. PM10 levels were high and exceeded the annual limit of 50 microg/m3 set up by the Mexican standard Norma Oficial Mexicana NOM-025-SSA1-1993. These levels could have serious health effects. The southwest zone of MMA had the highest levels of PM10 during the period studied. Winter was the most polluted season, and summer was the least polluted season. Thursday and Friday were the most polluted days, and Sunday was the least polluted day. The hours with the highest levels of PM10 were 8:00 to 10:00 a.m., whereas nighttime hours were the cleanest.

  16. Identification of PM10 air pollution origins at a rural background site

    Science.gov (United States)

    Reizer, Magdalena; Orza, José A. G.

    2018-01-01

    Trajectory cluster analysis and concentration weighted trajectory (CWT) approach have been applied to investigate the origins of PM10 air pollution recorded at a rural background site in North-eastern Poland (Diabla Góra). Air mass back-trajectories used in this study have been computed with the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model for a 10-year period of 2006-2015. A cluster analysis grouped back-trajectories into 7 clusters. Most of the trajectories correspond to fast and moderately moving westerly and northerly flows (45% and 25% of the cases, respectively). However, significantly higher PM10 concentrations were observed for slow moving easterly (11%) and southerly (20%) air masses. The CWT analysis shows that high PM10 levels are observed at Diabla Góra site when air masses are originated and passed over the heavily industrialized areas in Central-Eastern Europe located to the south and south-east of the site.

  17. Forecasting PM10 in Algiers: efficacy of multilayer perceptron networks.

    Science.gov (United States)

    Abderrahim, Hamza; Chellali, Mohammed Reda; Hamou, Ahmed

    2016-01-01

    Air quality forecasting system has acquired high importance in atmospheric pollution due to its negative impacts on the environment and human health. The artificial neural network is one of the most common soft computing methods that can be pragmatic for carving such complex problem. In this paper, we used a multilayer perceptron neural network to forecast the daily averaged concentration of the respirable suspended particulates with aerodynamic diameter of not more than 10 μm (PM10) in Algiers, Algeria. The data for training and testing the network are based on the data sampled from 2002 to 2006 collected by SAMASAFIA network center at El Hamma station. The meteorological data, air temperature, relative humidity, and wind speed, are used as inputs network parameters in the formation of model. The training patterns used correspond to 41 days data. The performance of the developed models was evaluated on the basis index of agreement and other statistical parameters. It was seen that the overall performance of model with 15 neurons is better than the ones with 5 and 10 neurons. The results of multilayer network with as few as one hidden layer and 15 neurons were quite reasonable than the ones with 5 and 10 neurons. Finally, an error around 9% has been reached.

  18. Comparison of receptor models for source apportionment of the PM10 in Zaragoza (Spain).

    Science.gov (United States)

    Callén, M S; de la Cruz, M T; López, J M; Navarro, M V; Mastral, A M

    2009-08-01

    Receptor models are useful to understand the chemical and physical characteristics of air pollutants by identifying their sources and by estimating contributions of each source to receptor concentrations. In this work, three receptor models based on principal component analysis with absolute principal component scores (PCA-APCS), Unmix and positive matrix factorization (PMF) were applied to study for the first time the apportionment of the airborne particulate matter less or equal than 10microm (PM10) in Zaragoza, Spain, during 1year sampling campaign (2003-2004). The PM10 samples were characterized regarding their concentrations in inorganic components: trace elements and ions and also organic components: polycyclic aromatic hydrocarbons (PAH) not only in the solid phase but also in the gas phase. A comparison of the three receptor models was carried out in order to do a more robust characterization of the PM10. The three models predicted that the major sources of PM10 in Zaragoza were related to natural sources (60%, 75% and 47%, respectively, for PCA-APCS, Unmix and PMF) although anthropogenic sources also contributed to PM10 (28%, 25% and 39%). With regard to the anthropogenic sources, while PCA and PMF allowed high discrimination in the sources identification associated with different combustion sources such as traffic and industry, fossil fuel, biomass and fuel-oil combustion, heavy traffic and evaporative emissions, the Unmix model only allowed the identification of industry and traffic emissions, evaporative emissions and heavy-duty vehicles. The three models provided good correlations between the experimental and modelled PM10 concentrations with major precision and the closest agreement between the PMF and PCA models.

  19. Source Apportionment and Elemental Composition of PM2.5 and PM10 in Jeddah City, Saudi Arabia.

    Science.gov (United States)

    Khodeir, Mamdouh; Shamy, Magdy; Alghamdi, Mansour; Zhong, Mianhua; Sun, Hong; Costa, Max; Chen, Lung-Chi; Maciejczyk, Polina

    2012-07-01

    This paper presents the first comprehensive investigation of PM2.5 and PM10 composition and sources in Saudi Arabia. We conducted a multi-week multiple sites sampling campaign in Jeddah between June and September, 2011, and analyzed samples by XRF. The overall mean mass concentration was 28.4 ± 25.4 μg/m3 for PM2.5 and 87.3 ± 47.3 μg/m3 for PM10, with significant temporal and spatial variability. The average ratio of PM2.5/PM10 was 0.33. Chemical composition data were modeled using factor analysis with varimax orthogonal rotation to determine five and four particle source categories contributing significant amount of for PM2.5 and PM10 mass, respectively. In both PM2.5 and PM10 sources were (1) heavy oil combustion characterized by high Ni and V; (2) resuspended soil characterized by high concentrations of Ca, Fe, Al, and Si; and (3) marine aerosol. The two other sources in PM2.5 were (4) Cu/Zn source; (5) traffic source identified by presence of Pb, Br, and Se; while in PM10 it was a mixed industrial source. To estimate the mass contributions of each individual source category, the CAPs mass concentration was regressed against the factor scores. Cumulatively, resuspended soil and oil combustion contributed 77 and 82% mass of PM2.5 and PM10, respectively.

  20. Prediction of PM10 grades in Seoul, Korea using a neural network model based on synoptic patterns

    Science.gov (United States)

    Hur, S. K.; Oh, H. R.; Ho, C. H.; Kim, J.; Song, C. K.; Chang, L. S.; Lee, J. B.

    2016-12-01

    As of November 2014, the Korean Ministry of Environment (KME) started forecasting the level of ambient particulate matter with diameters ≤ 10 μm (PM10) as four grades: low (PM10 ≤ 30 μg m-3), moderate (30 150 μg m-3). Due to short history of forecast, overall performance of the operational forecasting system and its hit rate for the four PM10 grades are difficult to evaluate. In attempt to provide a statistical reference for the current air quality forecasting system, we hindcasted the four PM10 grades for the cold seasons (October-March) of 2001-2014 in Seoul, Korea using a neural network model based on the synoptic patterns of meteorological fields such as geopotential height, air temperature, relative humidity, and wind. In the form of cosine similarity, the distinctive synoptic patterns for each PM10 grades are well quantified as predictors to train the neural network model. Using these fields as predictors and considering the PM10 concentration in Seoul from the day before prediction as an additional predictor, an overall hit rate of 69% was achieved; the hit rates for the low, moderate, high, and very high PM10 grades were 33%, 83%, 45%, and 33%, respectively. This study reveals that the synoptic patterns of meteorological fields are useful predictors for the identification of favorable conditions for each PM10 grade, and the associated transboundary transport and local accumulation of PM10 from the industrialized regions of China. Consequently, the assessments of predictability obtained from the neural network model in this study are reliable to use as a statistical reference for the current air quality forecasting system.

  1. A Model Chain Application to Estimate Mixing Layer Height Related to PM10 Dispersion Processes

    Science.gov (United States)

    Guarnieri, F.; Calastrini, F.; Busillo, C.; Messeri, G.; Gozzini, B.

    2015-01-01

    The mixing layer height (MLH) is a crucial parameter in order to investigate the near surface concentrations of air pollutants. The MLH can be estimated by measurements of some atmospheric variables, by indirect estimates based on trace gases concentration or aerosol, or by numerical models. Here, a modelling approach is proposed. The developed modelling system is based on the models WRF-ARW and CALMET. This system is applied on Firenze-Prato-Pistoia area (Central Italy), during 2010, and it is compared with in situ measurements. The aim of this work is to evaluate the use of MLH model estimates to characterize the critical episodes for PM10 in a limited area. In order to find out the meteorological conditions predisposing accumulation of PM10 in the atmosphere's lower level, some indicators are used: daily mean wind speed, cumulated rainfall, and mean MLH estimates from CALMET model. This indicator is linked to orography, which has important consequences on local weather dynamics. However, during critical events the local emission sources are crucial to the determination of threshold exceeding of PM10. Results show that the modelled MLH, together with cumulative rainfall and wind speed, can identify the meteorological conditions predisposing accumulation of air pollutant at ground level. PMID:26618190

  2. The construction of control chart for PM10 functional data

    Science.gov (United States)

    Shaadan, Norshahida; Jemain, Abdul Aziz; Deni, Sayang Mohd

    2014-06-01

    In this paper, a statistical procedure to construct a control chart for monitoring air quality (PM10) using functional data is proposed. A set of daily indices that represent the daily PM10 curves were obtained using Functional Principal Component Analysis (FPCA). By means of an iterative charting procedure, a reference data set that represented a stable PM10 process was obtained. The data were then used as a reference for monitoring future data. The application of the procedure was conducted using seven-year (2004-2010) period of recorded data from the Klang air quality monitoring station located in the Klang Valley region of Peninsular Malaysia. The study showed that the control chart provided a useful visualization tool for monitoring air quality and was capable in detecting abnormality in the process system. As in the case of Klang station, the results showed that with reference to 2004-2008, the air quality (PM10) in 2010 was better than that in 2009.

  3. Modeling PM10 in Ho Chi Minh City, Vietnam and evaluation of its impact on human health

    Directory of Open Access Journals (Sweden)

    Bang Quoc Ho

    2017-03-01

    Full Text Available According to World Health Organization (WHO and Global Burden of Disease, ambient air pollution is estimated to be responsible for 3.7 million premature deaths in 2012 [1]. Therefore, it is urgent to estimate the impact of air pollution on public health and economic damage. The objectives of this research are: study the distribution of PM10 concentration over Ho Chi Minh city (HCMC and relationship to public health and for proposing solutions of diseases prevention in HCM, Vietnam. EMIssion SENSitivity model was applied to conduct air emission inventory for transportation sector. Then, Finite Volume Model and Transport and Photochemistry Mesoscale Model were used to simulate the meteorology and the spatial distribution of PM10 in HCMC. Together with disease data obtained, the US Environmental Benefits Mapping and Analysis Model was applied for calculating the number of deaths and estimating economic losses due to PM10 pollution. Finally, solutions to reduce PM10 pollution and protect public health are proposed. The results showed that the highest 1-h average concentration of PM10 is 240 μg m−3 in North Eastern of HCMC. The concentration of PM10 for annual average in District 5 ranged from 17 to 49 μg m−3. There are 12 wards of District 5 with PM10 concentration exceeding the WHO guidelines (20 μg m−3 for annual average of PM10 and 50 μg m−3 for 24-h average. The high concentration of PM10 causes 5 deaths yr−1 in District 5 and 204 deaths yr−1 in HCMC, and it causes economic losses of 1.84 billion of USD.

  4. Health benefits of PM10 reduction in Iran

    Science.gov (United States)

    Marzouni, Mohammad Bagherian; Moradi, Mahsa; Zarasvandi, Alireza; Akbaripoor, Shayan; Hassanvand, Mohammad Sadegh; Neisi, Abdolkazem; Goudarzi, Gholamreza; Mohammadi, Mohammad Javad; Sheikhi, Reza; Kermani, Majid; Shirmardi, Mohammad; Naimabadi, Abolfazl; Gholami, Moeen; Mozhdehi, Saeed Pourkarim; Esmaeili, Mehdi; Barari, Kian

    2017-08-01

    Air pollution contains a complex mixture of poisonous compounds including particulate matter (PM) which has wide spectrum of adverse health effects. The main purpose of this study was to estimate the potential health impacts or benefits due to any changes in annual PM10 level in four major megacities of Iran. The required data of PM10 for AirQ software was collected from air quality monitoring stations in four megacities of Iran. The preprocessing was carried out using macro coding in excel environment. The relationship between different presumptive scenarios and health impacts was determined. We also assessed the health benefits of reducing PM10 to WHO Air Quality Guidelines (WHO-AQGs) and National Ambient Air Quality Standards (NAAQSs) levels with regard to the rate of mortality and morbidity in studied cities. We found that the 10 μg/m3 increase in annual PM10 concentration is responsible for seven (95% CI 6-8) cases increase in total number of deaths per 2 × 105 person. We also found that 10.7, 7.2, 5.7, and 5.3% of total death is attributable to short-term exposure to air pollution for Ahvaz, Isfahan, Shiraz, and Tehran, respectively. We found that by attaining the WHO's proposed value for PM10, the potential health benefits of 89, 84, 79, and 78% were obtained in Ahvaz, Isfahan, Shiraz, and Tehran, respectively. The results also indicated that 27, 10, 3, and 1% of health impacts were attributed to dust storm days for Ahvaz, Isfahan, Shiraz, and Tehran, respectively.

  5. [Emission characteristics of PM10 from coal-fired industrial boiler].

    Science.gov (United States)

    Li, Chao; Li, Xing-Hua; Duan, Lei; Zhao, Meng; Duan, Jing-Chun; Hao, Ji-Ming

    2009-03-15

    Through ELPI (electrical low-pressure impactor) based dilution sampling system, the emission characteristics of PM10 and PM2.5 was studied experimentally at the inlet and outlet of dust catchers at eight different coal-fired industrial boilers. Results showed that a peak existed at around 0.12-0.20 microm of particle size for both number size distribution and mass size distribution of PM10 emitted from most of the boilers. Chemical composition analysis indicated that PM2.5 was largely composed of organic carbon, elementary carbon, and sulfate, with mass fraction of 3.7%-21.4%, 4.2%-24.6%, and 1.5%-55.2% respectively. Emission factors of PM10 and PM2.5 measured were 0.13-0.65 kg x t(-1) and 0.08-0.49 kg x t(-1) respectively for grate boiler using raw coal, and 0.24 kg x t(-1) and 0.22 kg x t(-1) for chain-grate boiler using briquette. In comparison, the PM2.5 emission factor of fluidized bed boiler is 1.14 kg x t(-1), much her than that of grate boiler. Due to high coal consumption and low efficiency of dust separator, coal-fired industrial boiler may become the most important source of PM10, and should be preferentially controlled in China.

  6. Application of THEOS for PM10 mapping over Penang Island, Malaysia

    Science.gov (United States)

    Lim, H. S.; MatJafri, M. Z.; Abdullah, K.

    2010-11-01

    We had explored the relationship between particulate matters of size less than 10 micron (PM10) derived from the THEOS using regression technique over Penang Island, Malaysia. The objective of this study was to evaluate the high spatial resolution satellite data for air quality mapping. The development of the algorithm was based on the optical aerosol characteristic in the atmosphere. PM10 measurements were collected simultaneously with the image acquisition using a DustTrak Aerosol Monitor 8520. The station locations of the PM10 measurements were determined using a handheld GPS. The retrieval of surface reflectance is important to obtain the atmospheric reflectance in remotely sensed data and later used for algorithm calibration. In this study, ACTOR3 was used to retrieve the surface reflectance values from remotely sensed data. The surface reflectance values for the visible wavelengths of THEOS data was determined based on the Landsat TM data that acquired same date, nearly same time with the THEOS data. The relationship between the image reflectance values and the corresponding air quality data was determined using regression analysis. Various forms of algorithms were tested and their accuracies were noted. The algorithm that produced the highest correlation coefficient (R) and lowest root-mean-square error (RMS) was used for further analysis. Results show that the digital camera imageries can be used for estimating PM10 accurately. This study shows the potential of using the THEOS data for air quality mapping.

  7. Determination of benzo(apyrene content in PM10 using regression methods

    Directory of Open Access Journals (Sweden)

    Jacek Gębicki

    2015-12-01

    Full Text Available The paper presents an attempt of application of multidimensional linear regression to estimation of an empirical model describing the factors influencing on B(aP content in suspended dust PM10 in Olsztyn and Elbląg city regions between 2010 and 2013. During this period annual average concentration of B(aP in PM10 exceeded the admissible level 1.5-3 times. Conducted investigations confirm that the reasons of B(aP concentration increase are low-efficiency individual home heat stations or low-temperature heat sources, which are responsible for so-called low emission during heating period. Dependences between the following quantities were analysed: concentration of PM10 dust in air, air temperature, wind velocity, air humidity. A measure of model fitting to actual B(aP concentration in PM10 was the coefficient of determination of the model. Application of multidimensional linear regression yielded the equations characterized by high values of the coefficient of determination of the model, especially during heating season. This parameter ranged from 0.54 to 0.80 during the analyzed period.

  8. Quantification of diffuse and fugitive PM10 sources by integrated “hot-spot” method

    Science.gov (United States)

    Mensink, C.; Cosemans, G.; Bleux, N.; Berghmans, P.; Deutsch, F.; Janssen, L.; Liekens, I.; Torfs, R.; Van Rompaey, H.

    2011-04-01

    Between 2002 and 2006, various exceedances of air quality directive 1999/30/EC were reported in a number of PM 10 monitoring stations in Flanders. A study was carried out with the objectives: i) to identify and quantify the sources that have caused or have contributed to the exceedances over this period; and ii) to propose suitable emission reduction measures to comply with the current air quality standards (2010). We followed an integrated multi-disciplinary approach consisting of a detailed analysis of the PM 10 data series, specific air quality measuring campaigns, air quality modelling and expertise on emission reduction measures (including current BAT and BREF studies). The data analysis was based on 5 steps: 1) The pollution roses of the individual monitoring stations were analyzed. 2) The variation of the PM 10 concentration in function of wind speed was assessed to determine whether we were dealing with a fugitive source of primary particles (e.g. mineral dust) or a source of smaller secondary particles taken up and dispersed by the ambient air flow (e.g. industrial combustion sources or traffic sources). 3) The temporal patterns of the potential sources were analyzed. 4) Specific measurement campaigns were organized in the neighbourhood of the potential sources. This included mapping of PM 10 concentrations and a detailed analysis of the chemical composition. 5) The (fugitive) PM 10 sources were quantified by means of reversed modelling. After deduction of a high background concentration, observed in all monitoring stations in Flanders, results for the individual monitoring stations show that in almost all cases the peak concentrations can be attributed to local fugitive PM 10 emissions. Thus for most of the analysed cases it could be concluded that the cause of the exceedances or nearly exceedances is the combination of high background concentrations and local contributions from diffuse or fugitive sources. The total contribution of these non

  9. Meteorological factors for PM10 concentration levels in Northern Spain

    Science.gov (United States)

    Santurtún, Ana; Mínguez, Roberto; Villar-Fernández, Alejandro; González Hidalgo, Juan Carlos; Zarrabeitia, María Teresa

    2013-04-01

    Atmospheric particulate matter (PM) is made up of a mixture of solid and aqueous species which enter the atmosphere by anthropogenic and natural pathways. The levels and composition of ambient air PM depend on the climatology and on the geography (topography, soil cover, proximity to arid zones or to the coast) of a given region. Spain has particular difficulties in achieving compliance with the limit values established by the European Union (based on recommendations from the World Health Organization) for particulate matter on the order of 10 micrometers of diameter or less (PM10), but not only antropogenical emissions are responsible for this: some studies show that PM10 concentrations originating from these kinds of sources are similar to what is found in other European countries, while some of the geographical features of the Iberian Peninsula (such as African mineral dust intrusion, soil aridity or rainfall) are proven to be a factor for higher PM concentrations. This work aims to describe PM10 concentration levels in Cantabria (Northern Spain) and their relationship with the following meteorological variables: rainfall, solar radiation, temperature, barometric pressure and wind speed. Data consists of daily series obtained from hourly data records for the 2000-2010 period, of PM10 concentrations from 4 different urban-background stations, and daily series of the meteorological variables provided by Spanish National Meteorology Agency. The method used for establishing the relationships between these variables consists of several steps: i) fitting a non-stationary probability density function for each variable accounting for long-term trends, seasonality during the year and possible seasonality during the week to distinguish between work and weekend days, ii) using the marginal distribution function obtained, transform the time series of historical values of each variable into a normalized Gaussian time series. This step allows using consistently time series

  10. Elemental and carbonaceous characterization of TSP and PM10 during Middle Eastern dust (MED) storms in Ahvaz, Southwestern Iran.

    Science.gov (United States)

    Shahsavani, Abbas; Yarahmadi, Maryam; Hadei, Mostafa; Sowlat, Mohammad Hossein; Naddafi, Kazem

    2017-08-21

    Middle Eastern dust (MED) storms carry large amounts of dust particles to the Southern and Western cities of Iran. This study aimed to characterize the elemental and carbonaceous composition of total suspended particles (TSP) and PM10 in Ahvaz, Iran. TSP and PM10 samples were collected using two separate high-volume air samplers. The sampling program was performed according to EPA guidelines and resulted in 72 samples. Twenty-eight elements and two carbonaceous components in TSP and PM10 were measured. Over the entire study period, the mean concentration (SD) of TSP and PM10 was 1548.72 μg/m3 (1965.11 μg/m3) and 1152.35 μg/m3 (1510.34 μg/m3), respectively. The order of concentrations of major species were Si > Al > Ca > OC > Na > B > Zn > Mn > K > Mg and Si > Ca > Al > Na > OC > B > K > Mn > Cu > Mg for TSP and PM10, respectively. Almost all elements (except for Cd, Cr, and Cu) and carbonaceous components (except for organic carbon) had dust days/non-dust days (DD/NDD) ratios higher than 1, implying that all components are somehow affected by dust storms. Crustal elements constituted the major portion of particles for both TSP and PM10 in both DDs and NDDs. The enrichment factor of elements such as Ca, Fe, K, Mg, Na, and Ti was near unity. Species such as Al, Ca, Fe, K, Na, Si, and EC had high correlation coefficients in both TSP and PM10 (except for EC). In conclusion, Ahvaz is exposed to high concentrations of TSP and PM10 during the MED period. Immediate actions must be planned to decrease the high concentrations of particulate matter in Ahvaz's ambient air.

  11. The distribution of PM10 and PM2.5 carbonaceous aerosol in Baotou, China

    Science.gov (United States)

    Zhou, Haijun; He, Jiang; Zhao, Boyi; Zhang, Lijun; Fan, Qingyun; Lü, Changwei; Dudagula; Liu, Tao; Yuan, Yinghui

    2016-09-01

    Particulate matter (PM), including PM10 and PM2.5, is one of the major impacts on air quality, visibility, climate change, earth radiation balance, and public health. Organic carbon (OC) and elemental carbon (EC) are the major components of PM. 804 samples (PM10 and PM2.5) were simultaneously collected from six urban sites covering 3 districts in Baotou, in January, April, September, and November 2014. As to a long-term study on the effects of carbonaceous aerosol, data were collected annually at Environmental Protection Agency of Baotou (EPB). The concentrations of PM10 and PM2.5, the spatial distribution and content of OC and EC, the relationship between OC and EC, and the formation of secondary organic carbon (SOC) have been investigated. The findings indicated that the concentrations of these particle matter are higher than that in US or European standards. The average concentrations of OC in PM10 and PM2.5 follow the order: January > November > April > September; and for EC in PM10 and PM2.5 follow the order: January > November > September > April. Affected by metrological factors, it was indicated that high wind speed and low relative humidity were beneficial for removal of OC and EC in January and November. Pearson correlations and cluster analysis on OC and EC concentrations in PM10 and PM2.5 with gaseous pollutants (SO2, NO2, and CO) suggested that OC shared the same emission sources with SO2 and CO from combustion, while EC's sources mainly came from vehicles exhaust and combustion which contributed to NO2 as well. The OC concentration is mainly primary in warm months, while it appears secondary in cold months in Baotou. There is a common characteristic among the cities with higher SOC in winter, wherever the coal combustion can lead to the severe pollution. This work is important for the construction of the database of OC and EC concentrations in PM10 and PM2.5 at spatial and time intervals, and it can provide scientific suggestion for similar PM

  12. Evaluating the predictability of PM10 grades in Seoul, Korea using a neural network model based on synoptic patterns.

    Science.gov (United States)

    Hur, Sun-Kyong; Oh, Hye-Ryun; Ho, Chang-Hoi; Kim, Jinwon; Song, Chang-Keun; Chang, Lim-Seok; Lee, Jae-Bum

    2016-11-01

    As of November 2014, the Korean Ministry of Environment (KME) has been forecasting the concentration of particulate matter with diameters ≤ 10 μm (PM10) classified into four grades: low (PM10 ≤ 30 μg m(-3)), moderate (30  150 μg m(-3)). The KME operational center generates PM10 forecasts using statistical and chemistry-transport models, but the overall performance and the hit rate for the four PM10 grades has not previously been evaluated. To provide a statistical reference for the current air quality forecasting system, we have developed a neural network model based on the synoptic patterns of several meteorological fields such as geopotential height, air temperature, relative humidity, and wind. Hindcast of the four PM10 grades in Seoul, Korea was performed for the cold seasons (October-March) of 2001-2014 when the high and very high PM10 grades are frequently observed. Because synoptic patterns of the meteorological fields are distinctive for each PM10 grade, these fields were adopted and quantified as predictors in the form of cosine similarities to train the neural network model. Using these predictors in conjunction with the PM10 concentration in Seoul from the day before prediction as an additional predictor, an overall hit rate of 69% was achieved; the hit rates for the low, moderate, high, and very high PM10 grades were 33%, 83%, 45%, and 33%, respectively. Our findings also suggest that the synoptic patterns of meteorological variables are reliable predictors for the identification of the favorable conditions for each PM10 grade, as well as for the transboundary transport of PM10 from China. This evaluation of PM10 predictability can be reliably used as a statistical reference and further, complement to the current air quality forecasting system. Copyright © 2016 Elsevier Ltd. All rights reserved.

  13. Semi-Physical Estimates of National-Scale PM10 Concentrations in China Using a Satellite-Based Geographically Weighted Regression Model

    OpenAIRE

    Tianhao Zhang; Wei Gong; Zhongmin Zhu; Kun Sun; Yusi Huang; Yuxi Ji

    2016-01-01

    The estimation of ambient particulate matter with diameter less than 10 µm (PM10) at high spatial resolution is currently quite limited in China. In order to make the distribution of PM10 more accessible to relevant departments and scientific research institutions, a semi-physical geographically weighted regression (GWR) model was established in this study to estimate nationwide mass concentrations of PM10 using easily available MODIS AOD and NCEP Reanalysis meteorological parameters. The res...

  14. Wavelet transform-based artificial neural networks (WT-ANN) in PM10 pollution level estimation, based on circular variables.

    Science.gov (United States)

    Shekarrizfard, Maryam; Karimi-Jashni, A; Hadad, K

    2012-01-01

    In this paper, a novel method in the estimation and prediction of PM(10) is introduced using wavelet transform-based artificial neural networks (WT-ANN). First, the application of wavelet transform, selected for its temporal shift properties and multiresolution analysis characteristics enabling it to reduce disturbing perturbations in input training set data, is presented. Afterward, the circular statistical indices which are used in this method are formally introduced in order to investigate the relation between PM(10) levels and circular meteorological variables. Then, the results of the simulation of PM(10) based on WT-ANN by use of MATLAB software are discussed. The results of the above-mentioned simulation show an enhanced accuracy and speed in PM(10) estimation/prediction and a high degree of robustness compared with traditional ANN models.

  15. Network modeling of PM10 concentration in Malaysia

    Science.gov (United States)

    Supian, Muhammad Nazirul Aiman Abu; Bakar, Sakhinah Abu; Razak, Fatimah Abdul

    2017-08-01

    Air pollution is not a new phenomenon in Malaysia. The Department of Environment (DOE) monitors the country's ambient air quality through a network of 51 stations. The air quality is measured using the Air Pollution Index (API) which is mainly recorded based on the concentration of particulate matter, PM10 readings. The Continuous Air Quality Monitoring (CAQM) stations are located in various places across the country. In this study, a network model of air quality based on PM10 concen tration for selected CAQM stations in Malaysia has been developed. The model is built using a graph formulation, G = (V, E) where vertex, V is a set of CAQM stations and edges, E is a set of correlation values for each pair of vertices. The network measurements such as degree distributions, closeness centrality, and betweenness centrality are computed to analyse the behaviour of the network. As a result, a rank of CAQM stations has been produced based on their centrality characteristics.

  16. Non-chemistry coupled PM10 modeling in Chiang Mai City, Northern Thailand: A fast operational approach for aerosol forecasts

    Science.gov (United States)

    Macatangay, Ronald; Bagtasa, Gerry; Sonkaew, Thiranan

    2017-09-01

    The Weather Research and Forecasting (WRF v. 3.7) model was applied to model PM10 data in Chiang Mai city for 10-days during a high haze event utilizing updated land use categories from the Moderate Resolution Imaging Spectroradiometer (MODIS). A higher resolution meteorological lateral boundary condition (from 1 degree to 0.25 degree) was also used from the NCEP GDAS/FNL Global Tropospheric Analyses and Forecast Grid system. A 3-category urban canopy model was also added and the Thompson aerosol-aware microphysics parameterization scheme was used to model the aerosol number concentrations that were later converted to PM10 concentrations. Aerosol number concentration monthly climatology was firstly used as initial and lateral boundary conditions to model PM10 concentrations. These were compared to surface data obtained from two stations of the Pollution Control Department (PCD) of Thailand. The results from the modeled PM10 concentrations could not capture the variability (r = 0.29; 0.27 for each site) and underestimated a high PM10 spike during the period studied. The authors then added satellite data to the aerosol climatology that improved the comparison with observations (r = 0.45; 43). However, both model runs still were not able to capture the high PM10 concentration event. This requires further investigation.

  17. [Modification effects of ozone on the relationship between PM10 and daily mortality in three cities, China].

    Science.gov (United States)

    Wu, Minmin; Chen, Renjie; Kan, Haidong; Song, Weimin

    2015-09-01

    To estimate the modification effects of ozone on the relationship between PM10 and daily mortality. Daily total non-accidental, cardiovascular and respiratory motality data in Beijing, Shanghai and Suzhou from 2001 to 2008 were collected from the Center for Disease Control and Prevention of each city. The concentration of PM10 and ozone and other Meteorology data during the study period were abtained from the national air quality monitoring network. A generalized additive model (GAM) were used to estimate the acute effects of air pollution on daily mortality in the three cities. The time-series method were applied to analyze the association between air pollution and daily mortality. In order to analyze the interaction effect between PM10 and ozone, ozone were stratified into three levels (≤5% . as low from 5% - 95% . as moderate, >95%, as high) and then analyzed the effect of PM10. A Meta analysis was used to describe the effect of PM10 in all the cities. With the increment of ozone, PM10 corresponded to an increase of total, cardiovascular and respiratory mortality in Beijing, Shanghai and Suzhou. The result of the Meta analyses showed that on the days of "low" ozone, a 10 µg/m3 increment in PM10 corresponded to a 0.47% (95% CI - 0. 74%, 1. 67%) decrease in total mortality, 0. 36% (95% CI - 0. 59%, 1. 31%) decrease in cardiovascular mortality, and 0. 69% (95% CI - 0. 52%, 1. 90%) decrease in respiratory mortality. When it was moderate, the increment was 0.45% (95% CI 0. 26%, 0. 63%), 0. 16% (95% CI - 2. 26%, 1. 95%) and 0. 57% (95% CI 0. 13%, 1. 02%). The increment was 0. 82% (95% CI 0. 24% , 1. 39%), 0. 37% (95% CI 0. 07%, 0. 66% ) and 1. 13% (95% CI - 0. 67% , 2. 92%) while the.zone was high. Ozone could modify the effect of PM10 on the daily mortality.

  18. KANDUNGAN TSP DAN PM-10 DI UDARA JAKARTA DAN SEKITARNYA

    Directory of Open Access Journals (Sweden)

    Hendro Martono

    2016-09-01

    Full Text Available Abstract. A survey was performed to assess the quality of ambient air in Jakarta, Bogor,Depok,  Tangerang  and Bekasi.  Ambient air samples were collected from 33 sampling points at a distance of 0meter and 120 meters from each main roads respectively. The highest average content of TSP in ambientair at 0 meter was found in West Jakarta (652.02 p.g/cu.m and that of 120 meters from the main road was in Bekasi (445.46µg/cu.m . The highest difference of the TSP content between the two sampling pointswas in Kebon  Jeruk, West Jakarta (96.62 %,  and the lowest one was inCikarang, Bekasi (1.63 %.  Furthermore, the highest difference of the PM-10 content between the two sampling points was inJalan  Raya Bogor, Depok  (96.86 %,  and the lowest one was in Cikarang,  Bekasi (17.26%. In the whole areasof study, the average content of TSP  was 522.44.tg/cu.m  (0 meter, and178.09µg/cu.m (120 meters,  so the difference of the pollutant content between the two sampling points was 65.91%. Meanwhile, theaverage content of PM-10 was 326.25µg/cu.m  (0 meter, and97.09µg/cu.m (120 meters, so the difference of the pollutant content between the two sampling points was 70.24 %. The difference of the means ofboth TSP  and PM-10 content levels between the two sampling sites were significant. The percentages ofsampling points complying withTSP level standard were 9.52 %  (0 meter and 75.76% (120 meters from the road sides. While that of PM-10 were 18.18%  (road side sampling and 78.79% (120 meters from theroad sides.Crusial  measure for controlling theTSP  and PM-10 pollution should also be addressed tomobile sources, such as reducing diesel motorized-vehicles and providing proper mass transportation.

  19. Wood burning impact on PM 10 in three Austrian regions

    Science.gov (United States)

    Caseiro, Alexandre; Bauer, Heidi; Schmidl, Christoph; Pio, Casimiro A.; Puxbaum, Hans

    Anhydrosugars (levoglucosan, mannosan and galactosan) were investigated during one year in three Austrian regions at three types of sites (city-heavy traffic-impacted, city-residential and background) in order to assess the magnitude of the contribution of wood smoke to the particulate matter load and its organic fraction. The annually averaged concentrations of levoglucosan ranged from 0.12 to 0.48 μg m -3. The levoglucosan concentration exhibited a strong annual cycle with higher concentrations in the cold season. The minor anhydrosugars had a similar annual trend, but their concentrations were lower by a factor of about 5 and about 25 in the cold season for mannosan and galactosan, respectively. Levoglucosan concentrations were higher at the inner-urban as compared to rural sites. The contribution of wood smoke to organic carbon and PM 10 levels was calculated using a constant ratio of levoglucosan and OC, respectively PM 10 as derived for fire wood typical for Alpine European regions [Schmidl, C., Marr, I.L., Caseiro, A.e, Kotianová, P., Berner, A., Bauer, H., Kasper-Giebl, A., Puxbaum, H., 2008a. Chemical characterisation of fine particle emissions from wood stove combustion of common woods growing in mid-European Alpine regions. Atmospheric Environment 42, 126-141]. The estimated contribution of wood smoke-OC to the OC of PM 10 ranged from one third to more than half in the cold season with higher contributions up to 70% in winter (December, January and February) in the smaller cities and the rural background. This indicates, that wood smoke is the predominant source of organic material at rural and small urban sites in central Europe. Consistently, wood smoke was an important contributor to PM 10 during the cold season, with contributions of around 10% in the Vienna larger region and around 20% at rural sites in the densely forested regions of Salzburg and Styria during the winter months. In those regions residential sites exhibited highest relative wood

  20. Assessment of health risk due to PM 10 using fuzzy linear membership kriging with particle swarm optimization

    Energy Technology Data Exchange (ETDEWEB)

    Singh, Jeetendra B.; Reddy, Vijay S.; Jana, Soumya [Indian Institute of Technology, Hyderabad (India). Dept. of Electrical Engineering; De, Swades [Indian Institute of Technology, Delhi (India). Dept. of Electrical Engineering

    2013-07-01

    Air quality is an important determinant of individual as well as broader well-being. Major pollutants include gasses as well as assorted suspended particulate matter (PM). In this paper, we focus on PM10, which are a collection of particles with median aerodynamic diameter less than 10 {mu}m that remains suspended in the air for long periods. PM10, usually consist of smoke, dirt and dust particles, as well as spores and pollen, could easily be inhaled deep into lung. As a result, high outdoor PM10 concentration poses significant health hazard, and accurate modeling and prediction of health risk due to PM10 assume importance in pollution and public health management. In this backdrop, we propose an improved health risk assessment technique, and demonstrate its efficacy using widely used California PM10 database. At the heart of the proposed method lies indicator kriging, a well-known risk estimation technique. However, improved assessment of subjective health risk is achieved by posing the problem in a fuzzy setting, and optimizing the associated membership functions. In particular, we employ particle swarm optimization (PSO) algorithm, which has been motivated by natural behavior of organisms such as fish-schooling and bird flocking, and proven effective in various optimization contexts. We apply the fuzzy PSO membership grade kriging technique to predict the PM10 spatial distribution over the entire California state. (orig.)

  1. Linking Endotoxins, African Dust PM10 and Asthma in an Urban and Rural Environment of Puerto Rico

    Directory of Open Access Journals (Sweden)

    Mario G. Ortiz-Martínez

    2015-01-01

    Full Text Available African Dust Events (ADE are a seasonal phenomenon that has been suggested to exacerbate respiratory and proinflammatory diseases in Puerto Rico (PR. Increases in PM10 concentration and the effects of biological endotoxins (ENX are critical factors to consider during these storms. ENX promote proinflammatory responses in lungs of susceptible individuals through activation of the Toll-like receptors (TLR2/4 signaling pathways. The objective of the study was to evaluate the toxicological and proinflammatory responses stimulated by ADE PM10 ENX reaching PR using human bronchial epithelial cells. PM10 organic extracts from a rural and urban site in PR (March 2004 were obtained from ADE and non-ADE and compared. A retrospective data analysis (PM10 concentration, aerosol images, and pediatric asthma claims was performed from 2000 to 2012 with particular emphasis in 2004 to classify PM samples. Urban extracts were highly toxic, proinflammatory (IL-6/IL-8 secretion, and induced higher TLR4 expression and NF-κB activation compared to rural extracts. ENX were found to contribute to cytotoxicity and inflammatory responses provoked by urban ADE PM10 exposure suggesting a synergistic potency of local and natural ENX incoming from ADE. The contribution of ADE PM10 ENX is valuable in order to understand interactions and action mechanisms of airborne pollutants as asthma triggers in PR.

  2. Linking Endotoxins, African Dust PM10 and Asthma in an Urban and Rural Environment of Puerto Rico.

    Science.gov (United States)

    Ortiz-Martínez, Mario G; Rodríguez-Cotto, Rosa I; Ortiz-Rivera, Mónica A; Pluguez-Turull, Cedric W; Jiménez-Vélez, Braulio D

    2015-01-01

    African Dust Events (ADE) are a seasonal phenomenon that has been suggested to exacerbate respiratory and proinflammatory diseases in Puerto Rico (PR). Increases in PM10 concentration and the effects of biological endotoxins (ENX) are critical factors to consider during these storms. ENX promote proinflammatory responses in lungs of susceptible individuals through activation of the Toll-like receptors (TLR2/4) signaling pathways. The objective of the study was to evaluate the toxicological and proinflammatory responses stimulated by ADE PM10 ENX reaching PR using human bronchial epithelial cells. PM10 organic extracts from a rural and urban site in PR (March 2004) were obtained from ADE and non-ADE and compared. A retrospective data analysis (PM10 concentration, aerosol images, and pediatric asthma claims) was performed from 2000 to 2012 with particular emphasis in 2004 to classify PM samples. Urban extracts were highly toxic, proinflammatory (IL-6/IL-8 secretion), and induced higher TLR4 expression and NF-κB activation compared to rural extracts. ENX were found to contribute to cytotoxicity and inflammatory responses provoked by urban ADE PM10 exposure suggesting a synergistic potency of local and natural ENX incoming from ADE. The contribution of ADE PM10 ENX is valuable in order to understand interactions and action mechanisms of airborne pollutants as asthma triggers in PR.

  3. Basic statistics of PM2.5 and PM10 in the atmosphere of Mexico City.

    Science.gov (United States)

    Vega, E; Reyes, E; Sánchez, G; Ortiz, E; Ruiz, M; Chow, J; Watson, J; Edgerton, S

    2002-03-27

    The high levels of fine particulate matter in Mexico City are of concern since they may induce severe public health effects as well as the attenuation of visible light. Sequential filter samplers were used at six different sites from 23 February to 22 March 1997. The sampling campaign was carried out as part of the project 'Investigación sobre Materia Particulada y Deterioro Atmosferico-Aerosol and Visibility Evaluation Research'. This research was a cooperative project sponsored by PEMEX and by the US Department of Energy. Sampling sites represent the different land uses along the city, the northwest station, Tlalnepantla, is located in a mixed medium income residential and industrial area. The northeast station, Xalostoc, is located in a highly industrialized area, Netzahualcoyotl is located in a mixed land use area, mainly commercial and residential. Station La Merced is located in the commercial and administrative district downtown. The southwest station is located in the Pedregal de San Angel, in a high-income neighborhood, and the southeast station located in Cerro de la Estrella is a mixed medium income residential and commercial area. Samples were collected four times a day in Cerro de la Estrella (CES), La Merced (MER) and Xalostoc (XAL) with sampling periods of 6 h. In Pedregal (PED), Tlalnepantla (TLA) and Netzahualcoyot1 (NEZ) sampling periods were every 24 h. In this paper the basic statistics of PM2.5 and PM10 mass concentrations are presented. The average results showed that 49, 61, 46, 57, 51 and 44% of the PM10 consisted of PM2.5 for CES, MER, XAL, PED, TLA and NEZ, respectively. The 24-h average highest concentrations of PM25 and PM10 were registered at NEZ (184 and 267 microg/m3) and the lowest at PED (22 and 39 microg/m3). The highest PM10 correlations were between XAL-CES (0.79), PED-TLA (0.80). In contrast, the highest PM2.5 correlations were between CES-PED (0.74), MER-CES (0.73) and TLA-PED (0.72), showing a lower correlation than the PM10

  4. Conventional and toxicogenomic assessment of the acute pulmonary damage induced by the instillation of Cardiff PM10 into the rat lung.

    Science.gov (United States)

    Wise, H; Balharry, D; Reynolds, L J; Sexton, K; Richards, R J

    2006-05-01

    There is strong epidemiological evidence of association between PM10 (particulate matter with an aerodynamic diameter less than or equal to 10 microm) and adverse health outcomes including death and increased hospital admissions for cardiopulmonary conditions. Ambient PM10 surrogates such as diesel exhaust particles (DEP), a common component of UK PM10 have been shown to induce lung inflammation in both humans and rodents. To date, few studies have reported on the toxicological response of UK PM10 in experimental animals. This study examines the pulmonary toxicological responses in male Sprague Dawley rats following the intratracheal instillation of Cardiff urban PM10. A mild but significant change in lung permeability was observed in the lung post-instillation of a high (10 mg) dose of the whole PM10 as adjudged by increases in lung to body weight ratio and total acellular lavage protein. Such effects were less marked following instillation of a water-soluble fraction (80% of the total mass) but histological examination showed that lung capillaries were swollen in size with this treatment. In conclusion, conventional toxicological, histological and toxicogenomic studies have indicated that Cardiff PM10 exhibits low bioreactivity in the form of mild permeability changes. Differential gene expression was observed when the lung was treated with whole PM10, containing durable particles, in comparison with the water-soluble fraction of PM10 that was devoid of particles. Such changes were linked to different histopathological events within the lung.

  5. Indoor Exposure to "Outdoor PM10" Assessing Its Influence on the Relationship Between PM10 and Short-term Mortality in US Cities

    DEFF Research Database (Denmark)

    Chen, Chun; Zhao, Bin; Weschler, Charles J.

    2012-01-01

    be because of seasonal and regional differences in indoor exposure to PM10 of outdoor origin. Methods: From a previous study, we obtained PM10 mortality coefficients for each season in seven U.S. regions. We then estimated the change in the sum of indoor and outdoor PM10 exposure per unit change in outdoor...... PM10 exposure (PM10 exposure coefficient) for each season in each region. This was originally accomplished by estimating PM10 exposure coefficients for 19 cities within the regions for which we had modeled building infiltration rates. We subsequently expanded the analysis to include 64 additional......Background: Seasonal and regional differences have been reported for the increase in short-term mortality associated with a given increase in the concentration of outdoor particulate matter with an aerodynamic diameter smaller than 10 mu m (PM10 mortality coefficient). Some of this difference may...

  6. Operational particle matter (PM 10) monitoring using MODIS satellite data in South Tirol, Italian Alps

    Science.gov (United States)

    Tetzlaff, Anke; Emili, Emanuele; Li, Chengcai; Petitta, Marcello

    2010-05-01

    In this work we critical discuss the applicability of satellite based aerosol retrievals for operational particle matter (PM10) monitoring in mountain regions. In South Tirol, Italian Alps, the PM10 concentration is constantly monitored at 14 ground locations including background, urban and sub-urban measurement stations. MODIS satellite data is available in near real-time from the recently established satellite receiving station. Since July 2009, we test the production of daily PM maps for the Local Authorities of South Tirol using MODerate Resolution Imaging Spectroradiometer (MODIS) and in-situ data. Emili et al. (2009) has presented reasonable correlations between the NASA standard MODIS aerosol optical depth (AOD) normalized by the boundary layer height and daily PM10 at some ground location in the Swiss Alps. We apply here the same approach to compute PM10 for each ground stations in South Tirol. We have used two different MODIS AOD products: The standard 10 x 10 km2 NASA MODIS standard product and a 1 x 1 km2 MODIS AOD product generated via the algorithm of Li et al. (2005) for each ground station. We discuss uncertainties, highlight error sources and underline pros and cons of high-resolution AOD data for aerosol monitoring in mountain regions. First results indicate that the linear correlation for daily 2009 data varies strongly by the location between 0.3 and 0.8 for the NASA standard MODIS AOD product. We currently test the method to produce area-wide PM10 maps in South Tirol. As a first step we have established a relationship involving PM10, AOD and boundary layer height for each ground station in South Tirol using historic MODIS NASA AOD data. The linear regression coefficients are interpolated into a map, which is then used to obtain area-wide estimates of PM10 from AOD and boundary layer height (from ECMWF numerical model). Validation of these maps is performed on independent data. The total number of valid satellite AOD retrievals is a strongly

  7. Seasonal Variations of Quantified Organic Compounds in PM10 over Seoul

    Science.gov (United States)

    Choi, N.; Lee, J.; Kim, Y. P.

    2014-12-01

    The concentrations of 87 individual organic matters in the PM10 samples, systematically collected on the roof of the School of Public Health building at Seoul National University (mixed commercial and residential area), Seoul, South Korea on a daily basis from April 2010 to April 2011, were quantified by mean of Gas Chromatography/Mass Spectrometry (GC/MS). The daily average concentrations of five organic groups, alkanes, PAHs, fatty acid, DCAs, and sugars were ranged from 498.40 ng m3 to 10.20 μg m3. The seasonal concentrations of the total quantified organic species were 1.73 μg m3 (Spring), 2.04 μg m3 (Summer), 3.11 μg m3 (Fall), and 3.60 μg m3 (Winter), respectively. All the organic groups showed higher average concentration in winter than in summer. However, some organic compounds among fatty acids, DCAs, and sugars showed reverse pattern. The seasonal concentration patterns and episode variation of individual organic compounds were studied to clarify the emission characteristics of organic matters in PM10.

  8. Glyphosate and AMPA content in the PM10 emitted by a soil of the central semiarid region of Argentine (CSRA)

    Science.gov (United States)

    Mendez, Mariano; Aimar, Silvia; Aparicio, Virginia; Buschiazzo, Daniel; De Geronimo, Eduardo; Costa, Jose Luis

    2017-04-01

    150 ppb, while than in PM10 emitted by them ranged between 520 ppb and 750 ppb. The enrichment ratio (ER, quotient between concentration or content in PM10 and aggregates) of glyphosate and AMPA (between 4 and 17) were higher than ER of clay and OM (between 1 and 3). ERglyphosate and ERAMPA were different among aggregate fractions (p19.2 (ERglyphosate = 17 and ERAMPA = 10). Our results showed contents variable of glyphosate and AMPA in the soil and its aggregate fractions after 12 month from the last glyphosate application in a haplustoll soil of the CSRA. High glyphosate content were also found in PM10 emitted by the soil and its aggregate fractions. More studies are necessary to evaluate the glyphosate content in PM10 and its potential impact in the heath.

  9. 40 CFR Table C-4 to Subpart C of... - Test Specifications for PM10, PM2.5 and PM10-2.5 Candidate Equivalent Methods

    Science.gov (United States)

    2010-07-01

    ... 40 Protection of Environment 5 2010-07-01 2010-07-01 false Test Specifications for PM10, PM2.5 and PM10-2.5 Candidate Equivalent Methods C Table C-4 to Subpart C of Part 53 Protection of Environment... Pt. 53, Subpt. C, Table C-4 Table C-4 to Subpart C of Part 53—Test Specifications for PM10, PM2.5 and...

  10. Effect of local and long-range transport emissions on the elemental composition of PM 10-2.5 and PM 2.5 in Beirut

    Science.gov (United States)

    Saliba, Najat A.; Kouyoumdjian, Hovig; Roumié, Mohamad

    The elemental composition of PM 10-2.5 and PM 2.5 were studied in winter, summer, stormy and non-stormy dates during a period extending from February 2004 till January 2005, in a populated area of Beirut. Results of PIXE analysis and enrichment factor (E.F.) calculation, using Si as a reference of crustal material, showed that crustal elements (E.F.10) like S, Cu, Zn and Pb predominated in PM 2.5. In PM 10-2.5, concentrations of crustal elements increased during stormy episodes, all time high Ca concentrations were due to the abundance of calcite and limestone rocks in Lebanon, and increased Cl levels correlated with marine air masses. In PM 2.5, sulfur concentrations were more prominent in the summer due to the enhancement of photochemical reactions. Sources of sulfur were attributed to local, sea-water and long-range transport from Eastern Europe, with the latter being the most predominate. Anthropogenic elements like Cu and Zn were generated from worn brakes and tires in high traffic density area and spikes of Pb were directly linked to a southerly wind originated from Egypt and/or Israel as determined by the air trajectory HYSPLIT model. In brief, elemental variations depended on the regional variability of the transport pattern and the different removal rates of aerosols.

  11. Assessment of vertically-resolved PM10 from mobile lidar observations

    Directory of Open Access Journals (Sweden)

    J.-C. Raut

    2009-11-01

    Full Text Available We investigate in this study the vertical PM10 distributions from mobile measurements carried out from locations along the Paris Peripherique (highly trafficked beltway around Paris, examine distinctions in terms of aerosol concentrations between the outlying regions of Paris and the inner city and eventually discuss the influence of aerosol sources, meteorology, and dynamics on the retrieved PM10 distributions. To achieve these purposes, we combine in situ surface measurements with active remote sensing observations obtained from a great number of research programs in Paris area since 1999. Two approaches, devoted to the conversion of vertical profiles of lidar-derived extinction coefficients into PM10, have been set up. A very good agreement is found between the theoretical and empirical methods with a discrepancy of 3%. Hence, specific extinction cross-sections at 355 nm are provided with a reasonable relative uncertainty lower than 12% for urban (4.5 m2 g−1 and periurban (5.9 m2 g−1 aersols, lower than 26% for rural (7.1 m2 g−1 aerosols, biomass burning (2.6 m2 g−1 and dust (1.1 m2 g−1 aerosols The high spatial and temporal resolutions of the mobile lidar (respectively 1.5 m and 1 min enable to follow the spatiotemporal variability of various layers trapping aerosols in the troposphere. Appropriate specific extinction cross-sections are applied in each layer detected in the vertical heterogeneities from the lidar profiles. The standard deviation (rms between lidar-derived PM10 at 200 m above ground and surface network stations measurements was ~14μg m−3. This difference is particularly ascribed to a decorrelation of mass concentrations in the first meters of the boundary layer, as highlighted through multiangular lidar observations. Lidar signals can be used to follow mass concentrations with an uncertainty lower than 25% above urban areas and provide useful information on PM10 peak forecasting that affect air quality.

  12. Where is PM gone? Trends and variability of atmospheric PM10, PM2.5 and PM10-2.5 in the Po valley over the last decade (and more).

    Science.gov (United States)

    Bigi, Alessandro; Ghermandi, Grazia

    2017-04-01

    The Po Valley is one of the largest European regions with a remarkably high concentration level of atmospheric pollutants, both for particulate and gaseous compounds. In the last decade stringent regulations on air quality standards and on anthropogenic emissions have been set by the European Commission, leading to an overall improvement in air quality across Europe. In order to assess the decadal pattern and variability in PM across the Po valley we thoroughly investigated the time series of PM10, PM2.5 and PM10-2.5 from 41, 44 and 15 sites respectively (Bigi & Ghermandi 2014, 2016). PM2.5 and PM10-2.5 (PM10) series with a 7 (10) year or longer record have been analysed for long term trend in deseasonalized monthly means, annual quantiles and in monthly frequency distribution by robust statistical methods. A widespread and significant decreasing trend was observed at several sites for all size fractions, with the drop, up to a few percent per year, occurring mainly in winter for PM2.5 and throughout the year for PM10. All series were tested for a significant weekly periodicity (a proxy to estimate the impact of primary anthropogenic emissions) by 3 different statistical methods, yielding positive results for summer PM2.5 and PM10, and for both summer and winter PM10-2.5. Hierarchical cluster analysis showed larger variability for PM10 than for PM2.5. The former was split in five clusters: two encompassing the metropolitan areas of Turin and Milan and their respective nearby sites and the other three clusters gathering northeast, northwest and central Po Valley sites respectively. PM2.5 clusters divide the valley in western, eastern and southern/Apennines foothill sectors. The trend in atmospheric concentration was compared with the time series of local primary and precursor emissions, vehicular fleet details and fuel sales. A significant basin-wide drop in emissions occurred for gaseous pollutants, contrarily to primary emissions of PM10 and PM2.5, whose drop was

  13. Retrieval of Aerosol Optical Depth and PM10 Concentration from ulti-Angle Imaging Spectro-Radiometer (MISR) Data

    Energy Technology Data Exchange (ETDEWEB)

    Keller, J.; Bojinski [PSI and University of Zurich (Switzerland); Prevot, A.

    2004-03-01

    The aerosol extinction coefficient, optical depth and PM10 concentration (particulate matter with particle diameter d < 10 m) were estimated from radiance data of the Multi-Angle Imaging Spectro-Radiometer (MISR). The outputs of the algorithm for low and high aerosol loads were compared to sun photometry and in-situ PM10 measurements. In the spatial aerosol patterns well known features like enhanced pollution in the Po basin were identified. Realistic values were found over water. Values over land were too low, because the non-lambertian reflectance of land surfaces was not yet taken fully into account. (author)

  14. Repeated intratracheal instillation of PM10 induces lipid reshaping in lung parenchyma and in extra-pulmonary tissues.

    Directory of Open Access Journals (Sweden)

    Angela Maria Rizzo

    Full Text Available Adverse health effects of air pollution attributed mainly to airborne particulate matter have been well documented in the last couple of decades. Short term exposure, referring to a few hours exposure, to high ambient PM10 concentration is linked to increased hospitalization rates for cardiovascular events, typically 24 h after air pollution peaks. Particulate matter exposure is related to pulmonary and cardiovascular diseases, with increased oxidative stress and inflammatory status. Previously, we have demonstrated that repeated intratracheal instillation of PM10sum in BALB/c mice leads to respiratory tract inflammation, creating in lung a condition which could potentially evolve in a systemic toxic reaction. Additionally, plasma membrane and tissue lipids are easily affected by oxidative stress and directly correlated with inflammatory products. With this aim, in the present investigation using the same model, we analyzed the toxic potential of PM10sum exposure on lipid plasma membrane composition, lipid peroxidation and the mechanisms of cells protection in multiple organs such as lung, heart, liver and brain. Obtained results indicated that PM10 exposure led to lung lipid reshaping, in particular phospholipid and cholesterol content increases; concomitantly, the generation of oxidative stress caused lipid peroxidation. In liver we found significant changes in lipid content, mainly due to an increase of phosphatidylcholine, and in total fatty acid composition with a more pronounced level of docosahexaenoic acid; these changes were statistically correlated to lung molecular markers. Heart and brain were similarly affected; heart was significantly enriched in triglycerides in half of the PM10sum treated mice. These results demonstrated a direct involvement of PM10sum in affecting lipid metabolism and oxidative stress in peripheral tissues that might be related to the serious systemic air-pollution effects on human health.

  15. Size-fractionated PM10 monitoring in relation to the contribution of endotoxins in different polluted areas

    Science.gov (United States)

    Traversi, D.; Alessandria, L.; Schilirò, T.; Gilli, G.

    2011-07-01

    Particulate pollution is an environmental concern that is widespread and difficult to resolve. Recently various regulatory improvements around the world have been agreed upon to tackle this problem, especially as related to the fine fraction of particulates, which more closely correlates to human health effects than other fractions. The size-fractionation of inhalable particles and their organic composition represent a new area of research that has been poorly explored thus far. Endotoxins are a type of natural organic compound that can be found in particulate matter. They are correlated with Gram-negative bacterial contamination. Health outcomes associated with exposure to these toxins are not specific and often overlap with the health effects of PM (Particulate Matter) exposure, including asthma, bronchitis, acute respiratory distress syndrome and organic dust toxic syndrome. Very little information is available on the endotoxin distribution in different PM10 size fractions. This study examined PM10 size fractions and their endotoxin content. Sampling was conducted at five different locations: one urban, two rural and two rural sites that were highly influenced by large-scale farm animal production facilities. For each location, six different PM10 fractions were evaluated. PM10 sub-fractions were categorised as follows: PM 10-7.2 (1.15-31.30 μg m -3); PM 7.2-3.0 (1.86-30.73 μg m -3); PM 3.0-1.5 (1.74-13.90 μg m -3); PM 1.5-0.95 (0.24-10.57 μg m -3); PM 0.95-0.49 (1.22-14.33 μg m -3) and PM endotoxin levels determined were: PM 10-7.2 (0.051-5.401 endotoxin units (EU) m -3); PM 7.2-3.0 (0.123-7.801 EU m -3); PM 3.0-1.5 (0.057-1.635 EU m -3); PM 1.5-0.95 (0.040-2.477 EU m -3); PM 0.95-0.49 (0.007-3.159 EU m -3) and PM endotoxins in the coarse fraction. The observed abatement of the PM10 and endotoxin levels was very high (above 1:10) as little as 50 m from the pollution source. This kind of model is useful to both improve our knowledge about PM10 endotoxin

  16. Residential Solar PV Planning in Santiago, Chile: Incorporating the PM10 Parameter

    Directory of Open Access Journals (Sweden)

    Gustavo Cáceres

    2014-12-01

    Full Text Available This paper addresses an economic study of the installation of photovoltaic (PV solar panels for residential power generation in Santiago, Chile, based on the different parameters of a PV system, such as efficiency. As a performance indicator, the Levelized Cost of Energy (LCOE was used, which indicates the benefit of the facility vs. the current cost of electrical energy. In addition, due to a high level of airborne dusts typically associated with PM10, the effect of the dust deposition on PV panels’ surfaces and the effect on panel performance are examined. Two different scenarios are analyzed: on-grid PV plants and off-grid PV plants.

  17. Validation of Satellite AOD Data with the Ground PM10 Data over Islamabad Pakistan

    Science.gov (United States)

    Bulbul, Gufran; Shahid, Imran

    2016-07-01

    Introduction The issue of air pollution affects the entire globe, but the countries having huge urban growth and industries are specially confronted with high amounts of suspended particles in atmosphere. According to WHO, for the areas where air pollution is monitored in Pakistan, the air pollution is deteriorating the air quality as time is passing. Pakistan, during the last decade, has seen an extensive rise in population growth, urbanization, and industrialization, together with a great increase in motorization and energy use. As a result, rise has taken place in the emission of various air pollutants. However, due to the lack of air quality management, the country is suffering from deterioration of air quality. From the air quality point of view, spatial and temporal distribution of aerosols and its variations are very important. The variations in the atmospheric aerosol, land surface properties, greenhouse gases, solar radiations and climatic changes alter the energy balance of the earth's atmospheric system. The addition of aerosol particles to the atmosphere is not only dependent upon the anthropogenic sources but these are also formed by physical and chemical atmospheric processes. Aerosols are a mixture of particles and these are characterized by their shape, their size (from nanometers (nm) to micrometers (µm) in radius) and their chemical composition. PM10 is the designation for particulate matter in the atmosphere that has an aerodynamic diameter of 10µm or less. The sources of PM10 may be natural (volcanoes, dust, storms, forest and grassland fires, living vegetation, or anthropogenic (burning of fossil fuels in vehicles, power plants and industrialization). The current interest in atmospheric particulate matter (PM10) is mainly due to its effect on human health and its role in climate change. Therefore, the particulate matter must be monitored continuously to understand their likely impact on the atmosphere, environment and particularly human

  18. Semi-Physical Estimates of National-Scale PM10 Concentrations in China Using a Satellite-Based Geographically Weighted Regression Model

    Directory of Open Access Journals (Sweden)

    Tianhao Zhang

    2016-06-01

    Full Text Available The estimation of ambient particulate matter with diameter less than 10 µm (PM10 at high spatial resolution is currently quite limited in China. In order to make the distribution of PM10 more accessible to relevant departments and scientific research institutions, a semi-physical geographically weighted regression (GWR model was established in this study to estimate nationwide mass concentrations of PM10 using easily available MODIS AOD and NCEP Reanalysis meteorological parameters. The results demonstrated that applying physics-based corrections could remarkably improve the quality of the dataset for better model performance with the adjusted R2 between PM10 and AOD increasing from 0.08 to 0.43, and the fitted results explained approximately 81% of the variability in the corresponding PM10 mass concentrations. Annual average PM10 concentrations estimated by the semi-physical GWR model indicated that many residential regions suffer from severe particle pollution. Moreover, the deviation in estimation, which primarily results from the frequent changes in elevation, the spatially heterogeneous distribution of monitoring sites, and the limitations of AOD retrieval algorithm, was acceptable. Therefore, the semi-physical GWR model provides us with an effective and efficient method to estimate PM10 at large scale. The results could offer reasonable estimations of health impacts and provide guidance on emission control strategies in China.

  19. Source apportionment of ambient PM10 and PM2.5 in Haikou, China

    Science.gov (United States)

    Fang, Xiaozhen; Bi, Xiaohui; Xu, Hong; Wu, Jianhui; Zhang, Yufen; Feng, Yinchang

    2017-07-01

    In order to identify the sources of PM10 and PM2.5 in Haikou, 60 ambient air samples were collected in winter and spring, respectively. Fifteen elements (Na, Mg, Al, Si, K, Ca, Ti, V, Cr, Mn, Fe, Ni, Cu, Zn and Pb), water-soluble ions (SO42 - and NO3-), and organic carbon (OC) and elemental carbon (EC) were analyzed. It was clear that the concentration of particulate matter was higher in winter than in spring. The value of PM2.5/PM10 was > 0.6. Moreover, the proportions of TC, ions, Na, Al, Si and Ca were more high in PM10 and PM2.5. The SOC concentration was estimated by the minimum OC/EC ratio method, and deducted from particulate matter compositions when running CMB model. According to the results of CMB model, the resuspended dust (17.5-35.0%), vehicle exhaust (14.9-23.6%) and secondary particulates (20.4-28.8%) were the major source categories of ambient particulate matter. Additionally, sea salt also had partial contribution (3-8%). And back trajectory analysis results showed that particulate matter was greatly affected by regional sources in winter, while less affected in spring. So particulate matter was not only affected by local sources, but also affected by sea salt and regional sources in coastal cities. Further research could focuses on establishing the actual secondary particles profiles and identifying the local and regional sources of PM at once by one model or analysis method.

  20. Dust Monitoring on the Hanford Site: An Investigation into the Relationship Between TSP, PM-10, and PM-2.5

    Energy Technology Data Exchange (ETDEWEB)

    Schwartz, T.; Fitz, B.G.

    2004-01-01

    High levels of particulate matter (PM) are linked to some health problems and environmental issues. Air quality standards have been developed in hopes to reduce particulate matter problems. The most common fractions of particulate matter measured include PM2.5, PM10, and total suspended particles (TSP). The focus of this study was to evaluate relationships between PM2.5, PM10, and TSP concentrations specific to the Hanford Site, near Richland, Washington. Measurements of PM2.5 and PM10 concentrations continued while additional measurements of TSP were made over several summer months. Four sampling locations on the Hanford Site were used to compare spatial differences in the data. Comparison of the data revealed a strong linear correlation between PM10 and TSP for the time period evaluated. The correlation between PM2.5 and TSP was not as strong, and indicated that local sources rarely were above background measurements. This was supported by the correlation of ground level PM2.5 with PM2.5 concentrations measured on a near by mountain.

  1. Influence of Pedestrian Trajectories on School Children Exposure to PM10

    Directory of Open Access Journals (Sweden)

    João Garcia

    2014-01-01

    Full Text Available Three pedestrian trajectories are considered to study the influence of PM10 concentrations on children exposure, in a high-traffic street canyon. Two types of exposure were calculated: daily exposure for each wind condition and cumulative annual exposure considering all wind conditions. FLUENT was used to simulate the flow, turbulence, and PM10 dispersion in the street canyon. Our results indicate that exposure is influenced by the chosen walking trajectory and wind direction. When considering daily exposure, the highest value is achieved for the trajectory on the south side of the street, under westerly wind conditions, 13% higher than the baseline that assumes no traffic. The results indicate that a particular trajectory can be better for one specific wind direction but can represent the worst for a different wind direction. A difference of 3% to 13% higher exposure was achieved by choosing the best and worst trajectories. When computing cumulative annual exposure, trajectory on the north side of the street shows better results, 8.4% higher than the baseline value. Northerly and westerly winds result in the lowest and the highest exposure value for every studied trajectory. Careful selection of the best pedestrian paths can help reduce the exposure in busy street canyons.

  2. Impact of emission changes on secondary inorganic aerosol episodes across Germany

    NARCIS (Netherlands)

    Banzhaf, S.; Schaap, M.; Wichink Kruit, R.J.; Denier Van Der Gon, H.A.C.; Stern, R.; Builtjes, P.J.H.

    2013-01-01

    In this study, the response of secondary inorganic aerosol (SIA) concentrations to changes in precursor emissions during high PM10 episodes over central Europe in spring 2009 was investigated with the Eulerian Chemistry Transport Model (CTM) REM-Calgrid (RCG). The model performed well in capturing

  3. Investigation into the Effect of Atmospheric Particulate Matter (PM2.5 and PM10 Concentrations on GPS Signals

    Directory of Open Access Journals (Sweden)

    Lawrence Lau

    2017-03-01

    Full Text Available The Global Positioning System (GPS has been widely used in navigation, surveying, geophysical and geodynamic studies, machine guidance, etc. High-precision GPS applications such as geodetic surveying need millimeter and centimeter level accuracy. Since GPS signals are affected by atmospheric effects, methods of correcting or eliminating ionospheric and tropospheric bias are needed in GPS data processing. Relative positioning can be used to mitigate the atmospheric effect, but its efficiency depends on the baseline lengths. Air pollution is a serious problem globally, especially in developing countries that causes health problems to humans and damage to the ecosystem. Respirable suspended particles are coarse particles with a diameter of 10 micrometers or less, also known as PM10. Moreover, fine particles with a diameter of 2.5 micrometers or less are known as PM2.5. GPS signals travel through the atmosphere before arriving at receivers on the Earth’s surface, and the research question posed in this paper is: are GPS signals affected by the increased concentration of the PM2.5/PM10 particles? There is no standard model of the effect of PM2.5/PM10 particles on GPS signals in GPS data processing, although an approximate generic model of non-gaseous atmospheric constituents (<1 mm can be found in the literature. This paper investigates the effect of the concentration of PM2.5/PM10 particles on GPS signals and validates the aforementioned approximate model with a carrier-to-noise ratio (CNR-based empirical method. Both the approximate model and the empirical results show that the atmospheric PM2.5/PM10 particles and their concentrations have a negligible effect on GPS signals and the effect is comparable with the noise level of GPS measurements.

  4. Summertime low-ozone episodes at northern high latitudes

    OpenAIRE

    Orsolini, Y. J.; Eskes, H.; Hansen, G.; Hoppe, U.-P.; Kylling, A.; Kyrö, E.; Notholt, Justus; Van der A, R.; von der Gathen, Peter

    2003-01-01

    A pool of low-ozone air resides in the Arctic stratosphere in summer. Its formation and maintenance arise from a combination of chemical ozone-destruction and transport processes. The summertime ozone destruction is induced by gas-phase chemistry dominated by nitrogen and hydrogen catalytic cycles, which are efficient due to long summertime insolation at high latitudes. It is shown that, during events referred to as low-ozone episodes (LOEs), column ozone can locally decrease to values compar...

  5. Mobile air quality studies (MAQS in inner cities: particulate matter PM10 levels related to different vehicle driving modes and integration of data into a geographical information program

    Directory of Open Access Journals (Sweden)

    Uibel Stefanie

    2012-10-01

    Full Text Available Abstract Background Particulate matter (PM is assumed to exert a major burden on public health. Most studies that address levels of PM use stationary measure systems. By contrast, only few studies measure PM concentrations under mobile conditions to analyze individual exposure situations. Methods By combining spatial-temporal analysis with a novel vehicle-mounted sensor system, the present Mobile Air Quality Study (MAQS aimed to analyse effects of different driving conditions in a convertible vehicle. PM10 was continuously monitored in a convertible car, driven with roof open, roof closed, but windows open, or windows closed. Results PM10 values inside the car were nearly always higher with open roof than with roof and windows closed, whereas no difference was seen with open or closed windows. During the day PM10 values varied with high values before noon, and occasional high median values or standard deviation values due to individual factors. Vehicle speed in itself did not influence the mean value of PM10; however, at traffic speed (10 – 50 km/h the standard deviation was large. No systematic difference was seen between PM10 values in stationary and mobile cars, nor was any PM10 difference observed between driving within or outside an environmental (low emission zone. Conclusions The present study has shown the feasibility of mobile PM analysis in vehicles. Individual exposure of the occupants varies depending on factors like time of day as well as ventilation of the car; other specific factors are clearly identifiably and may relate to specific PM10 sources. This system may be used to monitor individual exposure ranges and provide recommendations for preventive measurements. Although differences in PM10 levels were found under certain ventilation conditions, these differences are likely not of concern for the safety and health of passengers.

  6. Desert Dust Outbreaks in Southern Europe: Contribution to Daily PM10 Concentrations and Short-Term Associations with Mortality and Hospital Admissions

    Science.gov (United States)

    Stafoggia, Massimo; Zauli-Sajani, Stefano; Pey, Jorge; Samoli, Evangelia; Alessandrini, Ester; Basagaña, Xavier; Cernigliaro, Achille; Chiusolo, Monica; Demaria, Moreno; Díaz, Julio; Faustini, Annunziata; Katsouyanni, Klea; Kelessis, Apostolos G.; Linares, Cristina; Marchesi, Stefano; Medina, Sylvia; Pandolfi, Paolo; Pérez, Noemí; Querol, Xavier; Randi, Giorgia; Ranzi, Andrea; Tobias, Aurelio; Forastiere, Francesco

    2015-01-01

    Background: Evidence on the association between short-term exposure to desert dust and health outcomes is controversial. Objectives: We aimed to estimate the short-term effects of particulate matter ≤ 10 μm (PM10) on mortality and hospital admissions in 13 Southern European cities, distinguishing between PM10 originating from the desert and from other sources. Methods: We identified desert dust advection days in multiple Mediterranean areas for 2001–2010 by combining modeling tools, back-trajectories, and satellite data. For each advection day, we estimated PM10 concentrations originating from desert, and computed PM10 from other sources by difference. We fitted city-specific Poisson regression models to estimate the association between PM from different sources (desert and non-desert) and daily mortality and emergency hospitalizations. Finally, we pooled city-specific results in a random-effects meta-analysis. Results: On average, 15% of days were affected by desert dust at ground level (desert PM10 > 0 μg/m3). Most episodes occurred in spring–summer, with increasing gradient of both frequency and intensity north–south and west–east of the Mediterranean basin. We found significant associations of both PM10 concentrations with mortality. Increases of 10 μg/m3 in non-desert and desert PM10 (lag 0–1 days) were associated with increases in natural mortality of 0.55% (95% CI: 0.24, 0.87%) and 0.65% (95% CI: 0.24, 1.06%), respectively. Similar associations were estimated for cardio-respiratory mortality and hospital admissions. Conclusions: PM10 originating from the desert was positively associated with mortality and hospitalizations in Southern Europe. Policy measures should aim at reducing population exposure to anthropogenic airborne particles even in areas with large contribution from desert dust advections. Citation: Stafoggia M, Zauli-Sajani S, Pey J, Samoli E, Alessandrini E, Basagaña X, Cernigliaro A, Chiusolo M, Demaria M, Díaz J, Faustini A

  7. 40 CFR 52.1637 - Particulate Matter (PM10) Group II SIP commitments.

    Science.gov (United States)

    2010-07-01

    ... 40 Protection of Environment 4 2010-07-01 2010-07-01 false Particulate Matter (PM10) Group II SIP... Particulate Matter (PM10) Group II SIP commitments. (a) On August 19, 1988, the Governor of New Mexico... including monitoring, reporting, emission inventory, and other tasks that may be necessary to satisfy the...

  8. 40 CFR 52.1489 - Particulate matter (PM-10) Group II SIP commitments.

    Science.gov (United States)

    2010-07-01

    ... Particulate matter (PM-10) Group II SIP commitments. (a) On March 29, 1989, the Air Quality Officer for the... 40 Protection of Environment 4 2010-07-01 2010-07-01 false Particulate matter (PM-10) Group II SIP... commitments, for implementing all of the required activities including monitoring, reporting, emission...

  9. Short-Term Health Impact Assessment of Urban PM10 in Bejaia City (Algeria

    Directory of Open Access Journals (Sweden)

    Fatima Benaissa

    2016-01-01

    Full Text Available We used Health Impact Assessment (HIA to analyze the impact on a given population’s health outcomes in terms of all-causes mortality and respiratory and cardiovascular hospitalizations attributable to short-term exposure to particulate matter less than 10 μm diameter (PM10 in Bejaia city, for which health effects of air pollution have never been investigated. Two scenarios of PM10 reduction were considered: first, a scenario where the PM10 annual mean is decreased by 5 µg/m3, and then a scenario where this PM10 mean is decreased to 20 µg/m3 (World Health Organization annual air quality guideline (WHO-AQG. Annual mean level of PM10 (81.7 µg/m3 was calculated from objective measurements assessed in situ. Each year, about 4 and 55 deaths could be postponed with the first and the second scenarios successfully. Furthermore, decreasing PM10 annual mean by 5 µg/m3 would avoid 5 and 3 respiratory and cardiac hospitalizations, respectively, and not exceeding the PM10 WHO-AQG (20 µg/m3 would result in a potential gain of 36 and 23 per 100000 respiratory and cardiac hospitalizations, respectively. Lowering in current levels of PM10 has a nonnegligible impact in terms of public health that it is expected to be higher in the case of long-term effects.

  10. 76 FR 10817 - Approval and Promulgation of Implementation Plans; State of Nevada; PM-10; Determinations...

    Science.gov (United States)

    2011-02-28

    ....g., 75 FR 27944 (May 19, 2010) (determination of attainment of the PM-10 standard in Coso Junction..., Arizona area); and 75 FR 27944 (May 19, 2010) (Coso Junction, California area). EPA's interpretation that... prior determinations of attainment for PM-10, e.g., for the San Joaquin Valley and Coso Junction areas...

  11. Self-Organized Criticality: Emergent Complex Behavior in PM10 Pollution

    Directory of Open Access Journals (Sweden)

    Shi Kai

    2013-01-01

    Full Text Available We analyze long-term time series of daily average PM10 concentrations in Chengdu city. Detrended fluctuation analysis of the time series shows long range correlation at one-year temporal scale. Spectral analysis of the time series indicates 1/f noise behavior. The probability distribution functions of PM10 concentrations fluctuation have a scale-invariant structure. Why do the complex structures of PM10 concentrations evolution exhibit scale-invariant? We consider that these complex dynamical characteristics can be recognized as the footprint of self-organized criticality (SOC. Based on the theory of self-organized criticality, a simplified sandpile model for PM10 pollution with a nondimensional formalism is put forward. Our model can give a good prediction of scale-invariant in PM10 evolution. A qualitative explanation of the complex dynamics observed in PM10 evolution is suggested. The work supports the proposal that PM10 evolution acts as a SOC process on calm weather. New theory suggests one way to understand the origin of complex dynamical characteristics in PM10 pollution.

  12. 40 CFR 50.6 - National primary and secondary ambient air quality standards for PM10.

    Science.gov (United States)

    2010-07-01

    ... air quality standards for PM10. 50.6 Section 50.6 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) AIR PROGRAMS NATIONAL PRIMARY AND SECONDARY AMBIENT AIR QUALITY STANDARDS § 50.6 National primary and secondary ambient air quality standards for PM10. (a) The level of the national...

  13. Variations in PM10, PM2.5 and PM1.0 in an Urban Area of the Sichuan Basin and Their Relation to Meteorological Factors

    Directory of Open Access Journals (Sweden)

    Yang Li

    2015-01-01

    Full Text Available Daily average monitoring data for PM10, PM2.5 and PM1.0 and meteorological parameters at Chengdu from 2009 to 2011 are analyzed using statistical methods to replicate the effect of urban air pollution in Chengdu metropolitan region of the Sichuan Basin. The temporal distribution of, and correlation between, PM10, PM2.5 and PM1.0 particles are analyzed. Additionally, the relationships between particulate matter (PM and certain meteorological parameters are studied. The results show that variations in the average mass concentrations of PM10, PM2.5 and PM1.0 generally have the same V-shaped distributions (except for April, with peak/trough values for PM average mass concentrations appearing in January/September, respectively. From 2009 to 2011, the inter-annual average mass concentrations of PM10, PM2.5 and PM1.0 fall year on year. The correlation coefficients of daily concentrations of PM10 with PM2.5, PM10 with PM1.0, and PM2.5 with PM1.0 were high, reaching 0.91, 0.83 and 0.98, respectively. In addition, the average ratios of PM2.5/PM10, PM1.0/PM10 and PM1.0/PM2.5 were 85%, 78% and 92%, respectively. From this, fine PM is determined to be the principal pollutant in the Chengdu region. Except for averaged air pressure values, negative correlations exist between other meteorological parameters and PM. Temperature and air pressure influenced the transport and accumulation of PM by affecting convection. Winds promoted PM dispersion. Precipitation not only accelerated the deposition of wet PM, but also inhibited surface dust transport. There was an obvious correlation between PM and visibility; the most important cause of visibility degradation was due to the light extinction of aerosol particles.

  14. Black smoke as a surrogate for PM 10 in health studies?

    Science.gov (United States)

    Muir, David; Laxen, Duncan P. H.

    There is a rapidly growing interest in health implications of airborne fine particles. The focus of attention is on particulate matter less than 10 μm aerodynamic diameter (PM 10). In the U.K. there are few PM 10 measurements and this is potentially hampering health effect studies. There is however a wide body of black smoke data using the British Standard smoke stain method. Black smoke may indeed be a better indicator of health impacts. It is therefore timely to examine the relationship between black smoke and PM 10. This has been done using recent monitoring results for Bristol, a moderate sized U.K. city. Daily average black smoke (averaged over six urban background sites) is shown to be a reasonable predictor of daily average PM 10 and of daily peak 1 h PM 10. However, different relationships apply to winter and summer periods showing that these methods are measuring different components of fine airborne particles.

  15. Holi colours contain PM10 and can induce pro-inflammatory responses.

    Science.gov (United States)

    Bossmann, Katrin; Bach, Sabine; Höflich, Conny; Valtanen, Kerttu; Heinze, Rita; Neumann, Anett; Straff, Wolfgang; Süring, Katrin

    2016-01-01

    colours and corn starch are able to generate an oxidative burst in human granulocytes and monocytes. In Holi colour 1 we detected a fungal contamination. Some of the observed unwanted health effects of Holi colours might be explained by the high content of PM10 particles in conjunction with the possible induction of a pro-inflammatory response and an oxidative leukocyte burst.

  16. Carbon species in PM10 particle fraction at different monitoring sites.

    Science.gov (United States)

    Godec, Ranka; Jakovljević, Ivana; Šega, Krešimir; Čačković, Mirjana; Bešlić, Ivan; Davila, Silvije; Pehnec, Gordana

    2016-09-01

    The aim of this study was to determine and compare the levels of elemental carbon (EC), organic carbon (OC) and polycyclic aromatic hydrocarbons (PAHs) mass concentrations in PM10 particles (particles with aerodynamic diameter less than 10 μm) between seasons (winter and summer) and at different monitoring sites (urban background and rural industrial). Daily samples of airborne particles were collected on pre-fired quartz fibre filters. PM10 mass concentrations were determined gravimetrically. Samples were analysed for OC and EC with the thermal/optical transmittance method (TOT) and for PAHs by high-performance liquid chromatography (HPLC) with a fluorescence detector. Measurements showed seasonal and spatial variations of mass concentrations for carbon species and for all of the measured PAHs (Flu, Pyr, Chry, BaA, BbF, BaP, BkF, BghiP and IP) in PM10 at the urban site and rural monitoring site described here. Diagnostic PAH ratios (Flu/(Flu + Pyr), BaA/(BaA + Cry), IP/(IP + BghiP), BaP/BghiP, IP/BghiP and BaP/(BaP + Chry)) make it possible to assess the sources of pollution, and these showed that diesel vehicles accounted for most pollution at the rural-industrial (RI) site in the summer, whereas coal and wood combustion were the causes of winter pollution. This difference between winter and summer PAH ratios were more expressed at the RI site than at the UB site because at the UB site the predominant heating fuel was gas. The OC/EC ratio yielded the same conclusion. Factor analysis showed that EC and OC originated from traffic at both sites, PAHs with 5 or more benzene rings originated from wood pellets industry or biomass burning, while Pyr and Flu originated from diesel combustion or as a consequence of different atmospheric behaviour - evaporation and participation in oxidation and photo oxidation processes. Copyright © 2016 Elsevier Ltd. All rights reserved.

  17. The Effect of PM10 on Allergy Symptoms in Allergic Rhinitis Patients During Spring Season

    Directory of Open Access Journals (Sweden)

    Il Gyu Kang

    2015-01-01

    Full Text Available Background: Asian sand dust (ASD that originates in the Mongolian Desert in the spring induces serious respiratory health problems throughout East Asia (China, Korea, Japan. PM10 (particulate matter with an aerodynamic diameter <10 μm is a major air pollutant component in ASD. We studied the effects of PM10 on allergy symptoms in patients with allergic rhinitis during the spring season, when ASD frequently develops. Methods: We investigated the changes in allergic symptoms in 108 allergic patients and 47 healthy subjects by comparing their 120-day symptom scores from February to May 2012. At the same time, the contributions of pollen count and PM10 concentration were also assessed. We also compared symptom scores before and 2 days after the daily PM10 concentration was >100 μg/m3. Results: The PM10 concentration during the 120 days was <150 μg/m3. No significant correlations were observed between changes in the PM10 concentration and allergic symptom scores (p > 0.05. However, allergic symptoms were significantly correlated with outdoor activity time (p < 0.001. Conclusions: These results demonstrate that a PM10 concentration <150 μg/m3 did not influence allergy symptoms in patients with allergic rhinitis during the 2012 ASD season.

  18. A robust calibration approach for PM10 prediction from MODIS aerosol optical depth

    Science.gov (United States)

    Yap, X. Q.; Hashim, M.

    2013-03-01

    Investigating the human health effects of atmospheric particulate matter (PM) using satellite data are gaining more attention due to their wide spatial coverage and temporal advantages. Such epidemiological studies are, however, susceptible to bias errors and resulted in poor predictive output in some locations. Current methods calibrate aerosol optical depth (AOD) retrieved from MODIS to further predict PM. The recent satellite-based AOD calibration uses a mixed effects model to predict location-specific PM on a daily basis. The shortcomings of this daily AOD calibration are for areas of high probability of persistent cloud cover throughout the year such as in the humid tropical region along the equatorial belt. Contaminated pixels due to clouds causes radiometric errors in the MODIS AOD, thus causes poor predictive power on air quality. In contrary, a periodic assessment is more practical and robust especially in minimizing these cloud-related contaminations. In this paper, a simple yet robust calibration approach based on monthly AOD period is presented. We adopted the statistical fitting method with the adjustment technique to improve the predictive power of MODIS AOD. The adjustment was made based on the long-term observation (2001-2006) of PM10-AOD residual error characteristic. Furthermore, we also incorporated the ground PM measurement into the model as a weighting to reduce the bias of the MODIS-derived AOD value. Results indicated that this robust approach with monthly AOD calibration reported an improved average accuracy of PM10 retrieval from MODIS data by 50% compared to widely used calibration methods based on linear regression models, in addition to enabling further spatial patterns of periodic PM exposure to be undertaken.

  19. Study of Pb sources by Pb isotope ratios in the airborne PM(10) of Zaragoza, Spain.

    Science.gov (United States)

    Teresa de la Cruz, María; Laborda, Francisco; Callén, María Soledad; López, José Manuel; Mastral, Ana María

    2009-11-01

    Lead is a toxic trace element which produces harmful effects on human health, even at low concentrations, and it can be useful as ambient pollution tracer because the relative abundance of its four stable isotopes (204, 206, 207 and 208) depends on the emission source. This study was focused on the lead concentrations and isotope ratios in the PM10 of Zaragoza, in order to determine the main Pb pollution sources and to check whether the influence of the prohibition of leaded fuel was worthwhile. Two sampling campaigns from 2001 until 2004, the first one in which leaded gasoline was still effective and the second one with the phase-out, were carried out by using a high-volume air sampler able to trap the particulate matter equal to or less than 10 microm (PM10) on Teflon-coated fibre glass filters. Firstly, the Pb concentrations for the two sampling campaigns were analysed by inductively-coupled plasma optical emission spectrometry (ICP-OES). No statistically significant decrease in the Pb average concentration was obtained from the first to the second sampling. Enrichment factors showed that anthropogenic sources were prevalent during both samplings, in particular during 2001-2002. Afterwards, only those samples with higher concentrations than the limit of quantification of Pb were analysed to determine the lead isotopic composition by inductively-coupled plasma quadrupole mass spectrometry (ICP-QMS). To apply this analytical technique successfully, it was necessary to optimize the parameters affecting the measurement accuracy and precision. Differences were found regarding the lead isotope ratios for both periods finding that anthropogenic sources related to industrial processes were reflected on both campaigns. The gasoline contribution for the first campaign was 23% whereas for the second sampling this contribution was negligible, corroborating the success of the lead policies on the quality of the environment.

  20. A robust calibration approach for PM10 prediction from MODIS aerosol optical depth

    Directory of Open Access Journals (Sweden)

    X. Q. Yap

    2013-03-01

    Full Text Available Investigating the human health effects of atmospheric particulate matter (PM using satellite data are gaining more attention due to their wide spatial coverage and temporal advantages. Such epidemiological studies are, however, susceptible to bias errors and resulted in poor predictive output in some locations. Current methods calibrate aerosol optical depth (AOD retrieved from MODIS to further predict PM. The recent satellite-based AOD calibration uses a mixed effects model to predict location-specific PM on a daily basis. The shortcomings of this daily AOD calibration are for areas of high probability of persistent cloud cover throughout the year such as in the humid tropical region along the equatorial belt. Contaminated pixels due to clouds causes radiometric errors in the MODIS AOD, thus causes poor predictive power on air quality. In contrary, a periodic assessment is more practical and robust especially in minimizing these cloud-related contaminations. In this paper, a simple yet robust calibration approach based on monthly AOD period is presented. We adopted the statistical fitting method with the adjustment technique to improve the predictive power of MODIS AOD. The adjustment was made based on the long-term observation (2001–2006 of PM10-AOD residual error characteristic. Furthermore, we also incorporated the ground PM measurement into the model as a weighting to reduce the bias of the MODIS-derived AOD value. Results indicated that this robust approach with monthly AOD calibration reported an improved average accuracy of PM10 retrieval from MODIS data by 50% compared to widely used calibration methods based on linear regression models, in addition to enabling further spatial patterns of periodic PM exposure to be undertaken.

  1. An investigation of high ozone episodes in the City of Johannesburg

    CSIR Research Space (South Africa)

    Padayachi, YR

    2014-10-01

    Full Text Available A study of ozone monitoring data in Johannesburg highlighted that the city is frequently affected by high ozone episodes. There is limited knowledge about the chemical and meteorological drivers of these high ozone episodes in Johannesburg...

  2. Investigation into the Effect of Atmospheric Particulate Matter (PM2.5 and PM10) Concentrations on GPS Signals.

    Science.gov (United States)

    Lau, Lawrence; He, Jun

    2017-03-03

    The Global Positioning System (GPS) has been widely used in navigation, surveying, geophysical and geodynamic studies, machine guidance, etc. High-precision GPS applications such as geodetic surveying need millimeter and centimeter level accuracy. Since GPS signals are affected by atmospheric effects, methods of correcting or eliminating ionospheric and tropospheric bias are needed in GPS data processing. Relative positioning can be used to mitigate the atmospheric effect, but its efficiency depends on the baseline lengths. Air pollution is a serious problem globally, especially in developing countries that causes health problems to humans and damage to the ecosystem. Respirable suspended particles are coarse particles with a diameter of 10 micrometers or less, also known as PM10. Moreover, fine particles with a diameter of 2.5 micrometers or less are known as PM2.5. GPS signals travel through the atmosphere before arriving at receivers on the Earth's surface, and the research question posed in this paper is: are GPS signals affected by the increased concentration of the PM2.5/PM10 particles? There is no standard model of the effect of PM2.5/PM10 particles on GPS signals in GPS data processing, although an approximate generic model of non-gaseous atmospheric constituents (GPS signals and validates the aforementioned approximate model with a carrier-to-noise ratio (CNR)-based empirical method. Both the approximate model and the empirical results show that the atmospheric PM2.5/PM10 particles and their concentrations have a negligible effect on GPS signals and the effect is comparable with the noise level of GPS measurements.

  3. Human health risk due to variations in PM10-PM2.5 and associated PAHs levels

    Science.gov (United States)

    Sosa, Beatriz S.; Porta, Andrés; Colman Lerner, Jorge Esteban; Banda Noriega, Roxana; Massolo, Laura

    2017-07-01

    WHO (2012) reports that chronic exposure to air pollutants, including particulate matter (PM), causes the death of 7 million people, constituting the most important environmental risk for health in the world. IARC classifies contaminated outdoor air as carcinogenic, Group 1 category. However, in our countries there are few studies regarding air pollution levels and possible associated effects on public health. The current study determined PM and associated polycyclic aromatic hydrocarbons (PAHs) levels in outdoor air, identified their possible emission sources and analysed health risks in the city of Tandil (Argentina). PM10 and PM2.5 samples were collected using a low volume sampler (MiniVol TAS) in three areas: city centre, industrial and residential. Concentrations were determined by gravimetric methods and the content of the US EPA 16 priority PAHs was found by high performance liquid chromatography (HPLC). Description of the main emission sources and selection of monitoring sites resulted from spatial analysis and the IVE (International Vehicle Emissions) model was used in the characterisation of the traffic flow. Median values of 35.7 μgm-3 and 9.6 μgm-3 in PM10 and PM2.5 respectively and characteristic profiles were found for each area. Local values PAHs associated to PM10 and PM2.5, in general, were lower than 10ngm-3. The estimated Unit Risk for the three areas exceeds US EPA standards (9 × 10-5). The number of deaths attributable to short term exposure to outdoor PM10 was 4 cases in children under 5 years of age, and 21 cases in total population, for a relative risk of 1.037.

  4. Satellite remote sensing, GIS and sun-photometers for monitoring PM10 in Cyprus: issues on public health

    Science.gov (United States)

    Hadjimitsis, Diofantos G.; Nisantzi, Argyro; Themistocleous, Kyriacos; Matsas, Alexandros; Trigkas, Vassilis

    2010-10-01

    PM10 and PM 2.5 particles are very significant issues for the public health of the community. Such parameters are measured from air-pollution stations that are scarcely distributed in the Cyprus region. Satellite remote sensing can provide synoptic coverage of the Cyprus area either daily from MODIS sensor or every 16 days from Landsat. Sunphotometers are used to measure the aerosol optical thickness (AOT) on ground during the satellite overpass. Several different campaigns have been made both for two urban areas in Paphos and Limassol area. For the period 28/10/09 - 30/12/09, the regression analysis between PM10 and ΡΜ2.5 for the Paphos town (central) gave coefficient of determination of R2=0,78 and R2=0,61 respectively. Coefficient of determination R2 =0.61 was found for the period May-June 2009 for the centre of Limassol when PM10 was regressed against AOT measured from MICROTOPS handheld sun-photometer. The AOT data retrieved from MODIS AOT (at 550 nm) and CIMEL sun-photometer (AERONET) also provided a high correlation (r=0.9, R2 = 0.81) for the centre of Limassol for April to July 2010 measurements. Results obtained by correlating MODIS AOT (at 550 nm) against hand-held MICROTOPS sun-photometer in the centre of Limassol for the period January 2009 to March 2010 gave R2=0,81. Using the PM10 limit of 50μg/m3 as prescribed by the European Union and the regression model found for the Limassol area, a threshold value of AOT for this area of 0.6 was found. Such value can be used as threshold AOT values for alerts either using the MODIS or Landsat satellite imagery. An example of how a GIS can provide temporal variations of AOT over the Cyprus area is shown.

  5. Dry deposition of PM10 over the Yellow Sea during Asian dust events from 2001 to 2007.

    Science.gov (United States)

    Yan, Han; Liu, Xiaohuan; Qi, Jianhua; Gao, Huiwang

    2014-01-01

    Dry deposition velocities and fluxes of PM10 during Asian dust events over the Yellow Sea from 2001 to 2007 were investigated using observation data in Qingdao, China and Jeju, Korea. The dry deposition velocities of PM10 during dust events over the Yellow Sea ranged from 0.19 to 8.17 cm/sec, with an average of 3.38 cm/sec. Dry deposition fluxes of PM10 during dust events over the Yellow Sea were in the range of 68.5-2647.1 mg/(m2 x day), with an average of 545.4 mg/(m2 x day), which is 2-10 times higher than those reported by other studies for both dust and non-dust periods. It was estimated that 2.6 x 10(11) -48.7 x 10(11) g dust particles deposit to the Yellow Sea during dust events through dry deposition every year. Compared with the results in previous studies, it was found that the dry deposition of PM10 over the Yellow Sea during dust events in the years with high frequency of dust could account for a large or overwhelming fraction of the annual total dry deposition. Backward air mass trajectory analysis showed that dust events influenced Jeju mainly originated from the desert regions located in Mongolia and Inner Mongolia, China. There were 119 backward trajectories influenced both Qingdao and Jeju during 15 dust events from 2001 to 2007, accounting for 61.3% of the total trajectories of 194, indicating that Qingdao and Jeju were usually on the same pathway of dust transport downwind from source areas.

  6. US EPA Nonattainment Areas and Designations-PM10 (1987 NAAQS)

    Data.gov (United States)

    U.S. Environmental Protection Agency — This web service contains the following layer: PM10 Nonattainment Areas (1987 NAAQS). Full FGDC metadata records for each layer may be found by clicking the layer...

  7. Atmospheric ice nucleators active ≥ −12 °C can be quantified on PM10 filters

    Directory of Open Access Journals (Sweden)

    C. Alewell

    2012-02-01

    Full Text Available Small number concentrations render it difficult to quantify ice nucleators (IN in the atmosphere active at warm temperatures. A useful new method for IN measurement based around filter collections is proposed. It makes use of quartz filters used in 24 h PM10 monitoring (720 m3 air sample. Small subsamples (1.8 mm diameter from the effective filter area and from the clean fringe (blank are subjected to immersion freezing tests. We applied the method to eight filters from the High Alpine Research Station Jungfraujoch (3580 m above sea level in the Swiss Alps. All filters carried IN active at −7 °C and below. Number concentrations of IN active at −8, −10, and −12 °C were on average 3.3, 10.7, and 17.2 m−3, respectively. Several-fold larger numbers of IN active at ≥ −12 °C per unit mass of PM10 were found in air masses influenced by Swiss and southern German atmospheric boundary layer air, compared to a Saharan dust event. In combination with data on PM10 mass, the method may be used to re-construct time series of IN number concentrations.

  8. Using gravimetric measurement for determination of the mass fraction PM10

    Directory of Open Access Journals (Sweden)

    Nicolae Chirilă

    2011-12-01

    Full Text Available In this paper, we tried to determinate the air pollution level with mass fraction PM10 from Targu Mures area. For this purpose, determinations were made in University Petru Maior’s laboratory, using ADR 1200 S device and in Targu Mures Environmental Department’s laboratory. The results that we obtained show a low level of air pollution with mass fraction PM10 in Targu Mures area.

  9. Mixture of linear regression models for short term PM10 forecasting in Haute Normandie (France)

    OpenAIRE

    Misiti, Michel; Misiti, Yves; Poggi, Jean-Michel; Portier, Bruno

    2013-01-01

    Mixture of linear regression models is used for the short-term statistical forecasting of the daily mean PM10 concentration. Hourly concentrations of PM10 have been measured in three cities in Haute-Normandie (France): Rouen, Le Havre and Dieppe. The Haute-Normandie region is located at northwest of Paris, near the south side of Manche sea and is heavily industrialized. We consider six monitoring stations reflecting the diversity of situations: urban background, traffic, rural and industrial ...

  10. Relationship between MODIS based Aerosol Optical Depth and PM10 over Croatia

    Science.gov (United States)

    Grgurić, Sanja; Križan, Josip; Gašparac, Goran; Antonić, Oleg; Špirić, Zdravko; Mamouri, Rodelise; Christodoulou, A.; Nisantzi, Argyro; Agapiou, Athos; Themistocleous, Kyriakos; Fedra, Kurt; Panayiotou, Charalambos; Hadjimitsis, Diofantos

    2014-03-01

    This study analyzes the relationship between Aerosol Optical Depth (AOD) obtained from Terra and Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) and ground-based PM10 mass concentration distribution over a period of 5 years (2008-2012), and investigates the applicability of satellite AOD data for ground PM10 mapping for the Croatian territory. Many studies have shown that satellite AOD data are correlated to ground-based PM mass concentration. However, the relationship between AOD and PM is not explicit and there are unknowns that cause uncertainties in this relationship. The relationship between MODIS AOD and ground-based PM10 has been studied on the basis of a large data set where daily averaged PM10 data from the 12 air quality stations across Croatia over the 5 year period are correlated with AODs retrieved from MODIS Terra and Aqua. A database was developed to associate coincident MODIS AOD (independent) and PM10 data (dependent variable). Additional tested independent variables (predictors, estimators) included season, cloud fraction, and meteorological parameters — including temperature, air pressure, relative humidity, wind speed, wind direction, as well as planetary boundary layer height — using meteorological data from WRF (Weather Research and Forecast) model. It has been found that 1) a univariate linear regression model fails at explaining the data variability well which suggests nonlinearity of the AOD-PM10 relationship, and 2) explanation of data variability can be improved with multivariate linear modeling and a neural network approach, using additional independent variables.

  11. Particle Reduction Strategies - PAREST. PM10-cause analysis based on hypothetical emissions scenarios. Sub-report; Strategien zur Verminderung der Feinstaubbelastung - PAREST. PM10-Ursachenanalyse auf der Basis hypothetischer Emissionsszenarien. Teilbericht

    Energy Technology Data Exchange (ETDEWEB)

    Stern, Rainer [Freie Univ. Berlin (Germany). Inst. fuer Meteorologie, Troposphaerische Umweltforschung

    2013-06-15

    In this report, a PM10 cause analysis is presented, which provides an estimation of the extent to which the emitted substances from ten different source sectors are responsible for the calculated PM10 concentrations in Germany (PM = particulate matter). [German] In diesem Bericht wird eine PM10-Ursachenanalyse vorgestellt, die eine Abschaetzung liefert, in welchem Umfang die in Deutschland von den verschiedenen Verursachergruppen emittierten Stoffe fuer die in Deutschland berechneten PM10-Konzentrationen verantwortlich sind.

  12. The variability of PM10 and PM2.5 concentrations in selected Polish agglomerations: the role of meteorological conditions, 2006-2016.

    Science.gov (United States)

    Jędruszkiewicz, Joanna; Czernecki, Bartosz; Marosz, Michał

    2017-09-20

    The research focuses on the analysis of PM10 and PM2.5 concentrations variability at 11 stations in selected urbanized areas of Poland (Tricity, Poznań, Łódź, Kraków). Methods comprised: the analysis of basic statistical characteristics in yearly/monthly/daily/hourly scale and threshold exceedance frequencies. Also, correlations between PM10 and meteorological variables were investigated. GEV distribution analysis allowed the estimation of the return levels of monthly maxima of PM10 and PM2.5. Results show that in Tricity there are fewer than 5 % of days with PM10 and PM2.5 threshold exceedance. In Kraków, the standards are only met during summer and the frequency of daily PM limit exceedance in winter was around 65-90 %. GEV analysis indicates that 10y return level of PM10 monthly maximum daily average do not usually exceed 250 μg/m(3) at most of the stations (Kraków agglomeration is an exception here). In winter, the meteorological conditions unfavourable to the pollutant's dispersion comprise: high-pressure systems, stable equilibrium in the atmosphere and limited turbulence occur quite often together with low wind speed and reduced height of the planetary boundary layer.

  13. MLP based models to predict PM10, O3 concentrations, in Sines industrial area

    Science.gov (United States)

    Durao, R.; Pereira, M. J.

    2012-04-01

    Sines is an important Portuguese industrial area located southwest cost of Portugal with important nearby protected natural areas. The main economical activities are related with this industrial area, the deep-water port, petrochemical and thermo-electric industry. Nevertheless, tourism is also an important economic activity especially in summer time with potential to grow. The aim of this study is to develop prediction models of pollutant concentration categories (e.g. low concentration and high concentration) in order to provide early warnings to the competent authorities who are responsible for the air quality management. The knowledge in advanced of pollutant high concentrations occurrence will allow the implementation of mitigation actions and the release of precautionary alerts to population. The regional air quality monitoring network consists in three monitoring stations where a set of pollutants' concentrations are registered on a continuous basis. From this set stands out the tropospheric ozone (O3) and particulate matter (PM10) due to the high concentrations occurring in the region and their adverse effects on human health. Moreover, the major industrial plants of the region monitor SO2, NO2 and particles emitted flows at the principal chimneys (point sources), also on a continuous basis,. Therefore Artificial neuronal networks (ANN) were the applied methodology to predict next day pollutant concentrations; due to the ANNs structure they have the ability to capture the non-linear relationships between predictor variables. Hence the first step of this study was to apply multivariate exploratory techniques to select the best predictor variables. The classification trees methodology (CART) was revealed to be the most appropriate in this case.. Results shown that pollutants atmospheric concentrations are mainly dependent on industrial emissions and a complex combination of meteorological factors and the time of the year. In the second step, the Multi

  14. Study on ambient concentrations of PM 10, PM 10–2.5, PM 2.5 and gaseous pollutants. Trace elements and chemical speciation of atmospheric particulates

    National Research Council Canada - National Science Library

    Dongarrà, G; Manno, E; Varrica, D; Lombardo, M; Vultaggio, M

    2010-01-01

    ... particles) ( Seinfeld and Pandis, 1998; Pöschl, 2005 ). Mass levels of ambient-air PM 10 (particles with an aerodynamic diameter less than 10 μm) according to Directive 2008/50/CE , are now routinely measured in Europe. Aerosol particles of less than 2.5 μm (PM 2.5 ) are also receiving worldwide attention, as they have a potential greater a...

  15. Composition and distribution of particulate matter (PM10) in a mechanically ventilated University building

    Science.gov (United States)

    Ali, Mohamed Yasreen Mohamed; Hanafiah, Marlia Mohd; Latif, Mohd Talib

    2016-11-01

    This study analyses the composition and distribution of particulate matter (PM10) in the Biology department building, in UKM. PM10 were collected using SENSIDYNE Gillian GilAir-5 Personal Air Sampling System, a low-volume sampler, whereas the concentration of heavy metals was determined using Inductively coupled plasma-mass spectrometry (ICP-MS). The concentration of PM10 recorded in the mechanically ventilated building ranges from 89 µgm-3 to 910 µgm-3. The composition of the selected heavy metals in PM10 were dominated by zinc, followed by copper, lead and cadmium. It was found that the present of indoor-related particulate matter were originated from the poorly maintained ventilation system, the activity of occupants and typical office equipments such as printers and photocopy machines. The haze event occured during sampling periods was also affected the PM10 concentration in the building. This results can serve as a starting point to assess the potential human health damage using the life cycle impact assessment, expressed in term of disability adjusted life year (DALY).

  16. Analysis of meteorology and emission in haze episode prevalence over mountain-bounded region for early warning.

    Science.gov (United States)

    Kim Oanh, Nguyen Thi; Leelasakultum, Ketsiri

    2011-05-01

    This study investigated the main causes of haze episodes in the northwestern Thailand to provide early warning and prediction. In an absence of emission input data required for chemical transport modeling to predict the haze, the climatological approach in combination with statistical analysis was used. An automatic meteorological classification scheme was developed using regional meteorological station data of 8years (2001-2008) which classified the prevailing synoptic patterns over Northern Thailand into 4 patterns. Pattern 2, occurring with high frequency in March, was found to associate with the highest levels of 24h PM(10) in Chiangmai, the largest city in Northern Thailand. Typical features of this pattern were the dominance of thermal lows over India, Western China and Northern Thailand with hot, dry and stagnant air in Northern Thailand. March 2007, the month with the most severe haze episode in Chiangmai, was found to have a high frequency of occurrence of pattern 2 coupled with the highest emission intensities from biomass open burning. Backward trajectories showed that, on haze episode days, air masses passed over the region of dense biomass fire hotspots before arriving at Chiangmai. A stepwise regression model was developed to predict 24h PM(10) for days of meteorology pattern 2 using February-April data of 2007-2009 and tested with 2004-2010 data. The model performed satisfactorily for the model development dataset (R(2)=87%) and test dataset (R(2)=81%), which appeared to be superior over a simple persistence regression of 24h PM(10) (R(2)=76%). Our developed model had an accuracy over 90% for the categorical forecast of PM(10)>120μg/m(3). The episode warning procedure would identify synoptic pattern 2 and predict 24h PM(10) in Chiangmai 24h in advance. This approach would be applicable for air pollution episode management in other areas with complex terrain where similar conditions exist. Copyright © 2011 Elsevier B.V. All rights reserved.

  17. Trajectory and Concentration PM10 on Forest and Vegetation Peat-Fire HYSPLIT Model Outputs and Observations (Period: September - October 2015)

    Science.gov (United States)

    Khairullah; Effendy, S.; Makmur, E. E. S.

    2017-03-01

    Forest and vegetation peat-fire is one of the main sources of air pollution in Kalimantan, predominantly during the dry period. In 2015, forest and vegetation fire in Central Kalimantan and South Kalimantan emit large quantities of smoke leading to poor air quality. Haze is a phenomenon characterized by high concentration of particulate matter. This research objective is to analyze trajectory and dispersion of concentration particulate matter, PM10 in Banjarbaru and Palangka Raya. Dynamics of PM10 (Particulate matter less than or 10 µm in size) on vegetation peat-fire is done using GDAS (Global Data Assimilation System) output with a horizontal resolution 1º which corresponds to 100 km × 100 km for input model. Climate conditions in the period September to October 2015 at generally during dry season of El Nino year. The Hybrid-single Langrangian Integrated Trajectory (HYSPLIT) model was used to investigate concentration and long-range movement of this pollutant from the source to the receptor area. We used time-series data on PM10 readings obtained from two stations Banjarbaru (South Kalimantan) and Palangka Raya (Central Kalimantan) belonging to Meteorology Climatology and Geophysics Agency (BMKG). We also used weather parameter such as wind speed and direction. We investigated trajectory run from hotspots information MoF (Sipongi Output Programs) and HYSPLIT. We compared concentration obtained from PM10 observation and its concentrations trend. The dispersion pattern, as simulated by HYSPLIT showed that the distribution of PM10 was greatly influenced by the wind direction and topography. There is a large difference between the concentration of PM10 Palangka Raya and Banjarbaru.

  18. A Decadal Spatial and Temporal Analysis of PM10 in Istanbul: 1998-2008

    Science.gov (United States)

    Kilic, D.; Baltacibasi, S.; Unal, A.; Kindap, T.

    2012-04-01

    This study provides valuable new insights into the key contributors to ambient air quality in Istanbul, one of the largest mega-cities in Europe. The study builds on work in Europe that links air quality with national dynamics such as economical, vehicle activity and, meteorology in the long-term. Spatial and temporal analysis was performed on PM10 levels measured at 10 air quality monitoring sta- tions (AQMSs) in Istanbul from 1998 to 2008. The analysis found that ambient air quality levels are linked with winter temperatures as well as economic activity. The mean annual PM10 levels in 2001 are among the three lowest years in the period. This decrease corresponds with daily temperature data and annual number of heating degree days which shows that 2001 was one of the warmest winters in Istanbul. Warmer temperatures led to a decrease in energy demand for heating purposes, as demonstrated by the coal sales data. Low ambient air quality levels in 2001 also correspond to a decrease in gross domestic product and electricity demand due to the national economic crisis in March 2001 which affected industrial activity and as a result industrial and energy production related emissions. The study also found that air quality levels in Istanbul are a threat to human health and the environment. Based on the annual and seasonal PM10 profiles of the stations, 5 of the 6 AQMSs in the European Side of the city had mean PM10 values above the EU limit for PM10 for over 50% of the time. According to the linear regression analysis, there is no significant increase or decrease in the annual PM10 trend in Istanbul, this may be due warm winter and economic crisis in 2001.

  19. Key Factors Determining Indoor Air PM10 Concentrations in Naturally Ventilated Primary Schools in Belgrade, Serbia.

    Science.gov (United States)

    Matic, Branislava; Rakic, Uros; Jovanovic, Verica; Dejanovic, Snezana; Djonovic, Nela

    2017-10-01

    Indoor air quality (IAQ) is rated as a serious public health issue. Knowing children are accounted as more vulnerable to environmental health hazards, data are needed on air quality in schools. A project was conducted from 2007 until 2009 (SEARCH, School Environment and Respiratory Health of Children), aiming to verify links between IAQ and children's respiratory health. Study was conducted in ten primary schools on 735 children, in 44 classrooms. Children were randomly selected. Research tools and indicators used for children's exposure to school environment were indoor and outdoor pollutants, two standardized questionnaires for school and classroom characteristics. In both classroom air and ambient air in front of them we measured, during a 5-day exposure period for continuous 24h measuring: carbon monoxide, carbon dioxide, indoor air temperature, relative humidity, and PM10 during classes. PM10 concentrations were significantly most frequent in an interval of ≥80.1μg/m(3), that is, in the interval above 50μg/m(3). Mean PM10 value was 82.24±42.43 μg/m(3), ranging from 32.00μg/m(3) to of 197.00μg/m(3). The increase of outdoor PM10 concentration significantly affects the increase of indoor PM10. A statistically significant difference exists for average IAQ PM10 concentrations vs. indicators of indoor thermal comfort zone (p75%), and indoor temperature beyond 23°C, as well as bad ventilation habits (keeping windows shut most of the time).

  20. Simulating the meteorology and PM10concentrations in Arizona dust storms with the Weather Research and Forecasting model with Chemistry (Wrf-Chem).

    Science.gov (United States)

    Hyde, Peter; Mahalov, Alex; Li, Jialun

    2017-07-24

    Nine dust storms in south-central Arizona, USA were simulated with the Weather Research and Forecasting with Chemistry model (WRF-Chem) at 2-km resolution. The windblown dust emission algorithm was the Air Force Weather Agency model. In comparison with ground-based PM 10 observations, the model unevenly reproduces the dust storm events. The model adequately estimates the location and timing of the events, but it is unable to precisely replicate the magnitude and timing of the elevated hourly concentrations of particles 10 microns and smaller ([PM 10 ]).Furthermore, the model under-estimated [PM 10 ] in highly agricultural Pinal County because it under-estimated surface wind speeds and because the model's erodible fractions of the land surface data were too coarse to effectively resolve the active and abandoned agricultural lands. In contrast, the model over-estimated [PM 10 ] in western Arizona along the Colorado River because it generated daytime sea breezes (from the nearby Gulf of California) whose surface-layer speeds were too strong. In Phoenix the model's performance depended on the event, with both under- and over-estimations partly due to incorrect representation of urban features. Sensitivity tests indicate that [PM 10 ] highly rely on meteorological forcing. Increasing the fraction of erodible surfaces in the Pinal County agricultural areas improved the simulation of [PM 10 ] in that region. Both 24-hr and 1-hr measured [PM 10 ] were, for the most part, and especially in Pinal County, extremely elevated, with the former exceeding the health standard by as much as tenfold and the latter exceeding health-based guidelines by as much as seventy-fold. Monsoonal thunderstorms not only produce elevated [PM 10 ], but also cause flash floods and disrupt water resource deliveries. Given the severity and frequency of these dust storms, and conceding that the modeling system applied in this work did not produce the desired agreement between simulations and

  1. Milano summer particulate matter (PM10 triggers lung inflammation and extra pulmonary adverse events in mice.

    Directory of Open Access Journals (Sweden)

    Francesca Farina

    Full Text Available Recent studies have suggested a link between particulate matter (PM exposure and increased mortality and morbidity associated with pulmonary and cardiovascular diseases; accumulating evidences point to a new role for air pollution in CNS diseases. The purpose of our study is to investigate PM10sum effects on lungs and extra pulmonary tissues. Milano PM10sum has been intratracheally instilled into BALB/c mice. Broncho Alveolar Lavage fluid, lung parenchyma, heart and brain were screened for markers of inflammation (cell counts, cytokines, ET-1, HO-1, MPO, iNOS, cytotoxicity (LDH, ALP, Hsp70, Caspase8-p18, Caspase3-p17 for a putative pro-carcinogenic marker (Cyp1B1 and for TLR4 pathway activation. Brain was also investigated for CD68, TNF-α, GFAP. In blood, cell counts were performed while plasma was screened for endothelial activation (sP-selectin, ET-1 and for inflammation markers (TNF-α, MIP-2, IL-1β, MPO. Genes up-regulation (HMOX1, Cyp1B1, IL-1β, MIP-2, MPO and miR-21 have been investigated in lungs and blood. Inflammation in the respiratory tract of PM10sum-treated mice has been confirmed in BALf and lung parenchyma by increased PMNs percentage, increased ET-1, MPO and cytokines levels. A systemic spreading of lung inflammation in PM10sum-treated mice has been related to the increased blood total cell count and neutrophils percentage, as well as to increased blood MPO. The blood-endothelium interface activation has been confirmed by significant increases of plasma ET-1 and sP-selectin. Furthermore PM10sum induced heart endothelial activation and PAHs metabolism, proved by increased ET-1 and Cyp1B1 levels. Moreover, PM10sum causes an increase in brain HO-1 and ET-1. These results state the translocation of inflammation mediators, ultrafine particles, LPS, metals associated to PM10sum, from lungs to bloodstream, thus triggering a systemic reaction, mainly involving heart and brain. Our results provided additional insight into the toxicity

  2. Determination of benzo(a)pyrene content in PM10 using regression methods

    OpenAIRE

    Jacek Gębicki; Tomasz Ludkiewicz; Jacek Namieśnik

    2015-01-01

    The paper presents an attempt of application of multidimensional linear regression to estimation of an empirical model describing the factors influencing on B(a)P content in suspended dust PM10 in Olsztyn and Elbląg city regions between 2010 and 2013. During this period annual average concentration of B(a)P in PM10 exceeded the admissible level 1.5-3 times. Conducted investigations confirm that the reasons of B(a)P concentration increase are low-efficiency individual ...

  3. Characterization of Episodic Air Pollution in Cities (CHEAP)

    NARCIS (Netherlands)

    Bloemen HJTh; Mennen M; Meulen A van der; LLO

    1995-01-01

    To assess the behaviour of fine suspended particulate matter (PM10), a descriptive study was undertaken in the Netherlands in the City of Amsterdam and in a rural area some 50 km north-east of Amsterdam. During winter-smog episodes the contribution of PM1 to PM10 increases from approximately 10 to

  4. 77 FR 45965 - Determination of Attainment for the Paul Spur/Douglas PM10

    Science.gov (United States)

    2012-08-02

    .../Douglas nonattainment area in Arizona is currently attaining the National Ambient Air Quality Standard (NAAQS) for particulate matter with an aerodynamic diameter of less than or equal to a nominal ten micrometers (PM 10 ) based on certified, quality-assured ambient air monitoring data for the years 2009-2011...

  5. Development and testing of technical measures for the abatement of PM10 emissions from poultry housings

    Energy Technology Data Exchange (ETDEWEB)

    Ogink, N.W.M.; Aarnink, A.J.A.; Mosquera, J.; Winkel, A. [Wageningen UR Livestock Research, Wageningen (Netherlands)

    2010-07-01

    In order to comply with the European Union's ambient air quality standards, the Netherlands must reduce emissions of PM10. As a contributor to PM10, the poultry industry must implement mitigation measures before 2012. An extensive research and development program was launched in 2008 to provide abatement technology for broiler and layer houses. This paper presented results from studies carried out in 2008 and 2009 by Wageningen UR Livestock Research. The supply industry and poultry farmers participated in the study in which different methods and approaches were examined, including bedding material, light schedules, oil spraying systems, ionization systems, water scrubbers, combined scrubbers, electrostatic filters, and dry filters. Most methods were first tested and optimized in small units at an experimental poultry facility Lelystad. Several methods were validated in a next step on poultry farms, where PM10 emissions were measured to establish official emission factors. The oil spraying system and ionization system were tested in broiler houses and are nearing implementation. Reductions in PM10 emissions by different methods ranged from no effect to levels of 60 per cent. An outlook on adequate dust abatement measures for poultry housings was also provided.

  6. The Effects of Bus Ridership on Airborne Particulate Matter (PM10 Concentrations

    Directory of Open Access Journals (Sweden)

    Jaeseok Her

    2016-07-01

    Full Text Available Air pollution caused by rapid urbanization and the increased use of private vehicles seriously affects citizens’ health. In order to alleviate air pollution, many cities have replaced diesel buses with compressed natural gas (CNG buses that emit less exhaust gas. Urban planning strategies such as transit-oriented development (TOD posit that reducing private vehicle use and increasing public transportation use would reduce air pollution levels. The present study examined the effects of bus ridership on airborne particulate matter (PM10 concentrations in the capital region of Korea. We interpolated the levels of PM10 from 128 air pollution monitoring stations, utilizing the Kriging method. Spatial regression models were used to estimate the impact of bus ridership on PM10 levels, controlling for physical environment attributes and socio-economic factors. The analysis identified that PM10 concentration levels tend to be lower in areas with greater bus ridership. This result implies that urban and transportation policies designed to promote public transportation may be effective strategies for reducing air pollution.

  7. 78 FR 924 - Approval and Promulgation of Air Quality Implementation Plans; Alaska: Eagle River PM10

    Science.gov (United States)

    2013-01-07

    ...: Eagle River PM 10 Nonattainment Area Limited Maintenance Plan and Redesignation Request AGENCY... Maintenance Plan (LMP) submitted by the State of Alaska on September 29, 2010, for the Eagle River nonattainment area (Eagle River NAA) and the State's request to redesignate the area to attainment for the...

  8. Enhancement of PM2.5 exposure estimation using PM10 observations.

    Science.gov (United States)

    Yuval; Broday, David M

    2014-05-01

    The adverse consequences of particulate matter (PM) inhalation on human health are well documented. Most of the epidemiological work assessing the health impacts of PM exposure concentrates on PM2.5, however, many of the PM monitoring records available for retrospective studies are of coarser PM10 data. This study explores the possibility to simulate PM2.5 data using PM10 records and assesses the trade-off between introduction of the unavoidable simulation errors and the improved spatial coverage enabled by the simulated series. Several modelling approaches are studied, bearing in mind the range of exposure time scales typical to environmental epidemiology studies. The modelling capability is evaluated by cross-testing between three stations observing both the PM2.5 and PM10 fractions. The trade-off between improved spatial coverage and simulation errors is assessed using leave-one-out cross-validation interpolations. Interpolations including both original and simulated data resulted in richer spatial patterns. Their cross-validated performance was comparable to or slightly better than that obtained using the original PM2.5 data only. The study provides methodologies and guidelines for scientists and practitioners on how to properly exploit their PM10 data to enhance their PM2.5 spatial coverage and minimise investment in new PM2.5 monitoring.

  9. PM10 data assimilation over Europe with the optimal interpolation method

    Directory of Open Access Journals (Sweden)

    B. Sportisse

    2009-01-01

    Full Text Available This paper presents experiments of PM10 data assimilation with the optimal interpolation method. The observations are provided by BDQA (Base de Données sur la Qualité de l'Air, whose monitoring network covers France. Two other databases (EMEP and AirBase are used to evaluate the improvements in the analyzed state over January 2001 and for several outputs (PM10, PM2.5 and chemical composition. The method is then applied in operational-forecast conditions. It is found that the assimilation of PM10 observations significantly improves the one-day forecast of total mass (PM10 and PM2.5, whereas the improvement is non significant for the two-day forecast. The errors on aerosol chemical composition are sometimes amplified by the assimilation procedure, which shows the need for chemical data. Since the observations cover a limited part of the domain (France versus Europe and since the method used for assimilation is sequential, we focus on the horizontal and temporal impacts of the assimilation and we study how several parameters of the assimilation system modify these impacts. The strategy followed in this paper, with the optimal interpolation, could be useful for operational forecasts. Meanwhile, considering the weak temporal impact of the approach (about one day, the method has to be improved or other methods have to be considered.

  10. 78 FR 900 - Approval and Promulgation of Air Quality Implementation Plans; Alaska: Eagle River PM10

    Science.gov (United States)

    2013-01-07

    ... comment. Electronic files should avoid the use of special characters, any form of encryption, and be free... PM 10 Nonattainment Areas'' (LMP Option memo)). The LMP Option memo contains a statistical... spring break-up and fall freeze-up include: Dust from paved roads; wind-generated dust from roads...

  11. Comparison of two data assimilation methods for assessing PM10 exceedances on the European scale

    NARCIS (Netherlands)

    Denby, B.; Schaap, M.; Segers, A.; Builtjes, P.; Horálek, J.

    2008-01-01

    Two different data assimilation techniques have been applied to assess exceedances of the daily and annual mean limit values for PM10 on the regional scale in Europe. The two methods include a statistical interpolation method (SI), based on residual kriging after linear regression of the model, and

  12. Comparison of two data assimilation methods for assessing PM 10 exceedances on the European scale

    NARCIS (Netherlands)

    Denby, B.; Schaap, M.; Segers, A.J.; Builtjes, P.J.H.; Horalek, J.

    2008-01-01

    Two different data assimilation techniques have been applied to assess exceedances of the daily and annual mean limit values for PM10 on the regional scale in Europe. The two methods include a statistical interpolation method (SI), based on residual kriging after linear regression of the model, and

  13. Modelling street level PM10 concentrations across Europe: source apportionment and possible futures

    Directory of Open Access Journals (Sweden)

    G. Kiesewetter

    2015-02-01

    Full Text Available Despite increasing emission controls, particulate matter (PM has remained a critical issue for European air quality in recent years. The various sources of PM, both from primary particulate emissions as well as secondary formation from precursor gases, make this a complex problem to tackle. In order to allow for credible predictions of future concentrations under policy assumptions, a modelling approach is needed that considers all chemical processes and spatial dimensions involved, from long-range transport of pollution to local emissions in street canyons. Here we describe a modelling scheme which has been implemented in the GAINS integrated assessment model to assess compliance with PM10 (PM with aerodynamic diameter 10 across Europe. Furthermore, we analyse the predicted evolution of PM10 concentrations in the European Union until 2030 under different policy scenarios. Significant improvements in ambient PM10 concentrations are expected assuming successful implementation of already agreed legislation; however, these will not be large enough to ensure attainment of PM10 limit values in hot spot locations such as Southern Poland and major European cities. Remaining issues are largely eliminated in a scenario applying the best available emission control technologies to the maximal technically feasible extent.

  14. Ensemble classification for identifying neighbourhood sources of fugitive dust and associations with observed PM10

    Science.gov (United States)

    Khuluse-Makhanya, Sibusisiwe; Stein, Alfred; Breytenbach, André; Gxumisa, Athi; Dudeni-Tlhone, Nontembeko; Debba, Pravesh

    2017-10-01

    In urban areas the deterioration of air quality as a result of fugitive dust receives less attention than the more prominent traffic and industrial emissions. We assessed whether fugitive dust emission sources in the neighbourhood of an air quality monitor are predictors of ambient PM10 concentrations on days characterized by strong local winds. An ensemble maximum likelihood method is developed for land cover mapping in the vicinity of an air quality station using SPOT 6 multi-spectral images. The ensemble maximum likelihood classifier is developed through multiple training iterations for improved accuracy of the bare soil class. Five primary land cover classes are considered, namely built-up areas, vegetation, bare soil, water and 'mixed bare soil' which denotes areas where soil is mixed with either vegetation or synthetic materials. Preliminary validation of the ensemble classifier for the bare soil class results in an accuracy range of 65-98%. Final validation of all classes results in an overall accuracy of 78%. Next, cluster analysis and a varying intercepts regression model are used to assess the statistical association between land cover, a fugitive dust emissions proxy and observed PM10. We found that land cover patterns in the neighbourhood of an air quality station are significant predictors of observed average PM10 concentrations on days when wind speeds are conducive for dust emissions. This study concludes that in the absence of an emissions inventory for ambient particulate matter, PM10 emitted from dust reservoirs can be statistically accounted for by land cover characteristics. This supports the use of land cover data for improved prediction of PM10 at locations without air quality monitoring stations.

  15. PM10 Air Pollution and Acute Hospital Admissions for Cardiovascular and Respiratory Causes in Ostrava.

    Science.gov (United States)

    Tomášková, Hana; Tomášek, Ivan; Šlachtová, Hana; Polaufová, Pavla; Šplíchalová, Anna; Michalík, Jiří; Feltl, David; Lux, Jaroslav; Marsová, Marie

    2016-12-01

    The city of Ostrava and its surroundings belong to the most long-therm polluted areas in the Czech Republic and Europe. For identification of health risk, the World Health Organization recommends a theoretical estimation of increased short-term PM10 concentrations effect on hospital admissions for cardiac complaints based on a 0.6% increase per 10 µg.m(-3) PM10 and 1.14% increase for respiratory causes. The goal of the present study is to verify the percentage increase of morbidity due to cardiovascular and respiratory causes, as per WHO recommendations for health risk assessment, in the population of Ostrava. The input data include data on PM10 air pollution, meteorological data, the absolute number of hospital admissions for acute cardiovascular and respiratory diseases in the period 2010-2012. To examine the association between air pollution and health outcomes the time series Poisson regression adjusted for covariates was used. A significant relationship was found between the cardiovascular hospital admissions (percentage increase of 1.24% per 10 µg.m(-3)) and values of PM10 less than 150 µg.m(-3) in the basic model, although after adjustment for other factors, this relationship was no longer significant. A significant relationship was also observed for respiratory causes of hospital admissions in the basic model. Contrary to cardiovascular hospitalization, the relationship between respiratory hospital admissions and PM10 values below 150 µg.m(-3) (percentage increase of 1.52%) remained statistically significant after adjustment for other factors. The observed significant relationship between hospital admissions for respiratory causes was consistent with the results of large European and American studies.

  16. Análisis comparativo de las mediciones de material particulado PM10

    Directory of Open Access Journals (Sweden)

    Roberto Rojano Alvarado

    2011-01-01

    Full Text Available En este estudio se determinaron las concentraciones de PM10 en la zona urbana del municipio de Riohacha, Colombia y se compararon dos métodos de muestreo de manera simultánea. Los instrumentos utilizados para la comparación fueron los equipos: muestreador de alto volumen PM10, Graseby Andersen y un nefelómetro DataRam 4 (Thermo Electron corporation. Los datos fueron obtenidos durante tres meses en dos sitios (Desalud y Bienestar de la zona urbana de Riohacha. Los resultados mostraron que el promedio de la concentración de PM10 fue de 23,64 ¿g/m3 y 36,86 ¿g/m3 en las dos estaciones utilizando el DataRam 4 y de 25,09 ¿g/m3 y 36,64 ¿g/m3 utilizando el muestreador de alto volumen PM10. El Análisis de correlación muestra una consistencia positiva para todas los pares en los dos métodos: R2 = 0,5377 para la estación Desalud y R2 = 0,7276 para la estación Bienestar. El coefi ciente aumentó cuando se correlacionaron los resultados para los días con Humedad Relativa menor del 70%, R2 = 0,89 estación Desalud y R2 = 0,69 estación Bienestar. Los resultados mostraron que el método fotométrico (DataRam 4, puede ser utilizado para determinar concentraciones de material partículado PM10, en las condiciones ambientales de Riohacha.

  17. Contribution of Fugitive Emissions for PM10 Concentrations in an Industrial Area of Portugal

    Science.gov (United States)

    Marta Almeida, Susana; Viana Silva, Alexandra; Garcia, Silvia; Miranda, Ana Isabel

    2013-04-01

    Significant atmospheric dust arises from the mechanical disturbance of granular material exposed to the air. Dust generated from these open sources is termed "fugitive" because it is not discharged to the atmosphere in a confined flow stream. Common sources of fugitive dust include unpaved roads, agricultural tilling operations, aggregate storage piles, heavy construction and harbor operations. The objective of this work was to identify the likeliness and extend of the PM10 limit value exceedences due to fugitive emissions in a particularly zone where PM fugitive emissions are a core of environmental concerns - Mitrena, Portugal. Mitrena, is an industrial area that coexists with a high-density urban region (Setúbal) and areas with an important environmental concern (Sado Estuary and Arrábida which belongs to the protected area Natura 2000 Network). Due to the typology of industry sited in Mitrena (e.g. power plant, paper mill, cement, pesticides and fertilized productions), there are a large uncontrolled PM fugitive emissions, providing from heavy traffic and handling and storage of raw material on uncover stockyards in the harbor and industries. Dispersion modeling was performed with the software TAPM (The Air Pollution Model) and results were mapped over the study area, using GIS (Geographic Information Systems). Results showed that managing local particles concentrations can be a frustrating affair because the weight of fugitive sources is very high comparing with the local anthropogenic stationary sources. In order to ensure that the industry can continue to meet its commitments in protecting air quality, it is essential to warrant that the characteristics of releases from all fugitive sources are fully understood in order to target future investments in those areas where maximum benefit will be achieved.

  18. Mobile load simulators - A tool to distinguish between the emissions due to abrasion and resuspension of PM10 from road surfaces

    Science.gov (United States)

    Gehrig, R.; Zeyer, K.; Bukowiecki, N.; Lienemann, P.; Poulikakos, L. D.; Furger, M.; Buchmann, B.

    2010-12-01

    Mechanically produced abrasion particles and resuspension processes are responsible for a significant part of the PM10 emissions of road traffic. However, specific differentiation between PM10 emissions due to abrasion and resuspension from road pavement is very difficult due to their similar elemental composition and highly correlated variation in time. In this work Mobile Load Simulators were used to estimate PM10 emission factors for pavement abrasion and resuspension on different pavement types for light and heavy duty vehicles. From the experiments it was derived that particle emissions due to abrasion from pavements in good condition are quite low in the range of only a few mg·km -1 per vehicle if quantifiable at all. Considerable abrasion emissions, however, can occur from damaged pavements. Resuspension of deposited dust can cause high and extremely variable particle emissions depending strongly on the dirt load of the road surface. Porous pavements seem to retain deposited dust better than dense pavements, thus leading to lower emissions due to resuspension compared to pavements with a dense structure (e.g. asphalt concrete). Tyre wear seemed not to be a quantitatively significant source of PM10 emissions from road traffic.

  19. Assessment of social losses of pollution's health caused by man-made pollution of atmospheric air with emissions of particulate matters (PM10

    Directory of Open Access Journals (Sweden)

    Turos Ye.I.

    2017-04-01

    Full Text Available According to available estimates, about 3% of lethal outcomes from cardiac-pulmonary pathology and 5% from lung cancer are related to the impact of patriculate matters (PM. In the course of the study there were assessed social losses of population’s health (additional death cases caused by risk conditions of atmospheric air pollution with PM of various air-dynamic diameter (PM10, proper to emissions of various industrial enterprises. It was established that 90% of population of cities under study live under high exposures (≥50 µg/m3 health and risks for population (IRM=10-3÷10-4, caused by PM10 emissions. Results showed that metallurgical industry is responsible for 7,2 to 2193 additional mortality cases. The impact of machine building enterprises – from 0.06 to 21 cases; coke and chemical – from 1.5 to 36 cases; mining – from 1.1 to 14,6 cases. The findings revealed 0.6 % increase in lifetime mortality for each 10 µg/m3 in 24-hour average PM10 concentration. Based on research outcomes, a set of instruments was developed for implementation of air pollution risk management programs aimed at mitigation of health risks from (PM10 in highly exposed groups.

  20. Multiple linear regression and regression with time series error models in forecasting PM10concentrations in Peninsular Malaysia.

    Science.gov (United States)

    Ng, Kar Yong; Awang, Norhashidah

    2018-01-06

    Frequent haze occurrences in Malaysia have made the management of PM 10 (particulate matter with aerodynamic less than 10 μm) pollution a critical task. This requires knowledge on factors associating with PM 10 variation and good forecast of PM 10 concentrations. Hence, this paper demonstrates the prediction of 1-day-ahead daily average PM 10 concentrations based on predictor variables including meteorological parameters and gaseous pollutants. Three different models were built. They were multiple linear regression (MLR) model with lagged predictor variables (MLR1), MLR model with lagged predictor variables and PM 10 concentrations (MLR2) and regression with time series error (RTSE) model. The findings revealed that humidity, temperature, wind speed, wind direction, carbon monoxide and ozone were the main factors explaining the PM 10 variation in Peninsular Malaysia. Comparison among the three models showed that MLR2 model was on a same level with RTSE model in terms of forecasting accuracy, while MLR1 model was the worst.

  1. Estimation of PM10 in the traffic-related atmosphere for three road types in Beijing and Guangzhou, China.

    Science.gov (United States)

    Wang, Yu; Li, Jiong; Cheng, Xiang; Lun, Xiaoxiu; Sun, Dezhi; Wang, Xingzu

    2014-01-01

    The levels of roadside PM10 in Beijing, China, were investigated in 2011 and 2012 on a seasonal basis to estimate the population exposure to particulates for three road types. The measurements of PM10 were also conducted in the southern Chinese megacity of Guangzhou for comparison purposes. The results showed that roadside PM10 in Beijing correlated strongly with the PM10 background in the urban atmosphere. The levels of PM10 in street canyons were markedly higher than those along the open roads and in crossroad areas because of limited ventilation. An elevation of PM10 was observed in April, which was possibly due to the sand storms that frequently occur in the spring. Based on these observations, roadside PM10 in Beijing could have multiple origins and was to some extent dispersion-governed. In Guangzhou, the roadside PM10 did not closely relate to the background values. The PM10 pollution was greatly affected by local traffic conditions. The simulation of PM10 for different road types was completed during the study period using the Motor Vehicle Emissions Factor Model (MOBILE6.2) as an emission model and the California Line Source Dispersion Model (CALINE4) and Operational Street Pollution Model (OSPM) as dispersion models. The MOBILE6.2/CALINE4 software package was demonstrated to be sufficient for the simulation of PM10 in the open roads and crossroad areas in both Beijing and Guangzhou, and the simulation results of roadside PM10 in the street canyons by the MOBILE6.2/OSPM package were in close agreement with those of the measurements.

  2. Assessment of sea salt and mineral dust contributions to PM10 in NW Germany using tracer models and positive matrix factorization

    Science.gov (United States)

    Beuck, H.; Quass, U.; Klemm, O.; Kuhlbusch, T. A. J.

    2011-10-01

    In order to assess the contribution of natural sources (sea salt and mineral dust) to PM10 levels in North-West Germany, a one year measurement project was conducted at two sites between April 2008 and March 2009. The sites were located in an urban and a regional background area. A Positive Matrix Factorization (PMF) based source apportionment study was carried out using chemical composition data of PM10 and PM1 filter samples from 79 selected days in a pooled dataset yielding eight source related factors. High to moderate urban versus regional correlations are obtained for factors denoted as aged marine aerosol, aged mineral dust, secondary sulfate and fossil fuel combustion. The factors identified as secondary nitrate, biomass combustion, re-suspended road dust and industry do not correlate significantly. Since the PMF factors do not represent the natural sources in the meaning of the EU air quality directive, tracer methods based on sodium, chloride and calcium are proposed to infer the PM10 concentrations of natural sea salt, mineral dust background, and the impact of long-range dust intrusions on PM10 concentrations, respectively. These tracer methods are viewed suitable for application in routine source apportionment within the air quality monitoring network.

  3. Influence of synoptic and local atmospheric patterns on PM10 air pollution levels: a model application to Naples (Italy)

    CERN Document Server

    Fortelli, Alberto; Mazzarella, Adriano

    2016-01-01

    We investigate the relationship between synoptic/local meteorological patterns and PM10 air pollution levels in the metropolitan area of Naples, Italy. We found that severe air pollution crises occurred when the 850 and 500 hpa geopotential heights and their relative temperatures present maximum values above the city. The most relevant synoptic parameter was the 850 hPa geopotential height, which is located about 1500 m of altitude. We compared local meteorological conditions (specifically wind stress, rain amount and thermal inversion) against the urban air pollution levels from 2009 to 2013. We found several empirical criteria for forecasting high daily PM10 air pollution levels in Naples. Pollution crises occurred when (a) the wind stress was between 1 and 2 m/s, (b) the thermal inversion between two strategic locations was at least 3{\\deg}C/200m and (c) it did not significantly rain for at least 7 days. Beside these meteorological conditions, severe pollution crises occurred also during festivals when fir...

  4. Particulate pollution of PM10 and PM2.5 due to strong anthropopressure in Sosnowiec city

    Directory of Open Access Journals (Sweden)

    Jolanta Cembrzyńska

    2012-12-01

    Full Text Available Introduction: Air contamination with particulate matter causes a serious problem in large cities and urban-industrial agglomerations both in Poland and Europe. Anthropogenic sources of air pollution in urban areas are emissions from municipal, industrial and transportation sector. Many epidemiological studies have revealed that exposure to air pollution, especially the fine particles with aerodynamic diameter less than 2,5 micrometer, can pose a threat to human health exposed to exceedingly high concentrations of particulate matter. Aim of the study: The aim of this study was to evaluate PM10 and PM2,5 mass concentrations in autumn and winter season in the city of Sosnowiec, in relation to ambient air quality standards in Poland and the European Union. Results: The average concentrations of PM10 and PM2,5 in autumn-winter seasons in Sosnowiec city 2010–2011 were 2,1 to 2,7 times higher than limit values, specified in the legislation acts.

  5. Estimating daily PM2.5 and PM10 across the complex geo-climate region of Israel using MAIAC satellite-based AOD data

    Science.gov (United States)

    Kloog, Itai; Sorek-Hamer, Meytar; Lyapustin, Alexei; Coull, Brent; Wang, Yujie; Just, Allan C.; Schwartz, Joel; Broday, David M.

    2017-01-01

    Estimates of exposure to PM2.5 are often derived from geographic characteristics based on land-use regression or from a limited number of fixed ground monitors. Remote sensing advances have integrated these approaches with satellite-based measures of aerosol optical depth (AOD), which is spatially and temporally resolved, allowing greater coverage for PM2.5 estimations. Israel is situated in a complex geo-climatic region with contrasting geographic and weather patterns, including both dark and bright surfaces within a relatively small area. Our goal was to examine the use of MODIS-based MAIAC data in Israel, and to explore the reliability of predicted PM2.5 and PM10 at a high spatiotemporal resolution. We applied a three stage process, including a daily calibration method based on a mixed effects model, to predict ground PM2.5 and PM10 over Israel. We later constructed daily predictions across Israel for 2003–2013 using spatial and temporal smoothing, to estimate AOD when satellite data were missing. Good model performance was achieved, with out-of-sample cross validation R2 values of 0.79 and 0.72 for PM10 and PM2.5, respectively. Model predictions had little bias, with cross-validated slopes (predicted vs. observed) of 0.99 for both the PM2.5 and PM10 models. To our knowledge, this is the first study that utilizes high resolution 1km MAIAC AOD retrievals for PM prediction while accounting for geo-climate complexities, such as experienced in Israel. This novel model allowed the reconstruction of long- and short-term spatially resolved exposure to PM2.5 and PM10 in Israel, which could be used in the future for epidemiological studies. PMID:28966551

  6. Estimating daily PM2.5 and PM10 across the complex geo-climate region of Israel using MAIAC satellite-based AOD data

    Science.gov (United States)

    Kloog, Itai; Sorek-Hamer, Meytar; Lyapustin, Alexei; Coull, Brent; Wang, Yujie; Just, Allan C.; Schwartz, Joel; Broday, David M.

    2015-12-01

    Estimates of exposure to PM2.5 are often derived from geographic characteristics based on land-use regression or from a limited number of fixed ground monitors. Remote sensing advances have integrated these approaches with satellite-based measures of aerosol optical depth (AOD), which is spatially and temporally resolved, allowing greater coverage for PM2.5 estimations. Israel is situated in a complex geo-climatic region with contrasting geographic and weather patterns, including both dark and bright surfaces within a relatively small area. Our goal was to examine the use of MODIS-based MAIAC data in Israel, and to explore the reliability of predicted PM2.5 and PM10 at a high spatiotemporal resolution. We applied a three stage process, including a daily calibration method based on a mixed effects model, to predict ground PM2.5 and PM10 over Israel. We later constructed daily predictions across Israel for 2003-2013 using spatial and temporal smoothing, to estimate AOD when satellite data were missing. Good model performance was achieved, with out-of-sample cross validation R2 values of 0.79 and 0.72 for PM10 and PM2.5, respectively. Model predictions had little bias, with cross-validated slopes (predicted vs. observed) of 0.99 for both the PM2.5 and PM10 models. To our knowledge, this is the first study that utilizes high resolution 1 km MAIAC AOD retrievals for PM prediction while accounting for geo-climate complexities, such as experienced in Israel. This novel model allowed the reconstruction of long- and short-term spatially resolved exposure to PM2.5 and PM10 in Israel, which could be used in the future for epidemiological studies.

  7. Estimating daily PM2.5 and PM10 across the complex geo-climate region of Israel using MAIAC satellite-based AOD data.

    Science.gov (United States)

    Kloog, Itai; Sorek-Hamer, Meytar; Lyapustin, Alexei; Coull, Brent; Wang, Yujie; Just, Allan C; Schwartz, Joel; Broday, David M

    2015-12-01

    Estimates of exposure to PM2.5 are often derived from geographic characteristics based on land-use regression or from a limited number of fixed ground monitors. Remote sensing advances have integrated these approaches with satellite-based measures of aerosol optical depth (AOD), which is spatially and temporally resolved, allowing greater coverage for PM2.5 estimations. Israel is situated in a complex geo-climatic region with contrasting geographic and weather patterns, including both dark and bright surfaces within a relatively small area. Our goal was to examine the use of MODIS-based MAIAC data in Israel, and to explore the reliability of predicted PM2.5 and PM10 at a high spatiotemporal resolution. We applied a three stage process, including a daily calibration method based on a mixed effects model, to predict ground PM2.5 and PM10 over Israel. We later constructed daily predictions across Israel for 2003-2013 using spatial and temporal smoothing, to estimate AOD when satellite data were missing. Good model performance was achieved, with out-of-sample cross validation R(2) values of 0.79 and 0.72 for PM10 and PM2.5, respectively. Model predictions had little bias, with cross-validated slopes (predicted vs. observed) of 0.99 for both the PM2.5 and PM10 models. To our knowledge, this is the first study that utilizes high resolution 1km MAIAC AOD retrievals for PM prediction while accounting for geo-climate complexities, such as experienced in Israel. This novel model allowed the reconstruction of long- and short-term spatially resolved exposure to PM2.5 and PM10 in Israel, which could be used in the future for epidemiological studies.

  8. Estimation of daily PM10concentrations in Italy (2006-2012) using finely resolved satellite data, land use variables and meteorology.

    Science.gov (United States)

    Stafoggia, Massimo; Schwartz, Joel; Badaloni, Chiara; Bellander, Tom; Alessandrini, Ester; Cattani, Giorgio; De' Donato, Francesca; Gaeta, Alessandra; Leone, Gianluca; Lyapustin, Alexei; Sorek-Hamer, Meytar; de Hoogh, Kees; Di, Qian; Forastiere, Francesco; Kloog, Itai

    2017-02-01

    Health effects of air pollution, especially particulate matter (PM), have been widely investigated. However, most of the studies rely on few monitors located in urban areas for short-term assessments, or land use/dispersion modelling for long-term evaluations, again mostly in cities. Recently, the availability of finely resolved satellite data provides an opportunity to estimate daily concentrations of air pollutants over wide spatio-temporal domains. Italy lacks a robust and validated high resolution spatio-temporally resolved model of particulate matter. The complex topography and the air mixture from both natural and anthropogenic sources are great challenges difficult to be addressed. We combined finely resolved data on Aerosol Optical Depth (AOD) from the Multi-Angle Implementation of Atmospheric Correction (MAIAC) algorithm, ground-level PM 10 measurements, land-use variables and meteorological parameters into a four-stage mixed model framework to derive estimates of daily PM 10 concentrations at 1-km2 grid over Italy, for the years 2006-2012. We checked performance of our models by applying 10-fold cross-validation (CV) for each year. Our models displayed good fitting, with mean CV-R2=0.65 and little bias (average slope of predicted VS observed PM 10 =0.99). Out-of-sample predictions were more accurate in Northern Italy (Po valley) and large conurbations (e.g. Rome), for background monitoring stations, and in the winter season. Resulting concentration maps showed highest average PM 10 levels in specific areas (Po river valley, main industrial and metropolitan areas) with decreasing trends over time. Our daily predictions of PM 10 concentrations across the whole Italy will allow, for the first time, estimation of long-term and short-term effects of air pollution nationwide, even in areas lacking monitoring data. Copyright © 2016 Elsevier Ltd. All rights reserved.

  9. Estimating the impact of Saharan dust on the year 2001 PM 10 record of Rome, Italy

    Science.gov (United States)

    Gobbi, G. P.; Barnaba, F.; Ammannato, L.

    This paper evaluates the role of Saharan dust advection in the exceeding of the PM 10 thresholds in the city of Rome, Italy. To this purpose, a series of observations and model forecasts recorded in the year 2001 are analysed and discussed. Lidar profiles collected over 168 days of the year are employed to both assess the presence and magnitude of Saharan dust layers over the city and to evaluate the depth of the planetary boundary layer. Backtrajectories are used to verify the Saharan origin of the lidar-sounded air masses. Model predictions of the presence of Saharan dust over the area are employed to fill the time gaps between lidar observations. PM 10 and carbon monoxide records of both a city background (Villa Ada) and a heavy traffic station (Magna Grecia) are cross-analysed with the dust events record and meteorological data. The analysis shows that: (1) Saharan dust was advected over Rome on about 30% of the days of 2001; (2) mean contribution of Saharan dust transport events to daily PM 10 levels was of the order of 20 μg m -3; (3) at the urban background station of Villa Ada, the Saharan contribution caused the surpassing of the maximum number of days in excess of 50 μg m -3 fixed by the current legislation (35 per year). Conversely, at the heavy traffic station of Magna Grecia the Saharan contribution was not determinant at causing the observed large exceeding of that limit, as well as of the maximum yearly average of 40 μg m -3; (4) 25% of the Saharan advection days (of the order of 100/year at Rome) led to a PM 10 increase >30 μg m -3, 4% caused an increase >50 μg m -3, thus leading on their own to surpassing the 50 μg m -3 daily limit.

  10. Satellite-derived determination of PM10 concentration and of the associated risk on public health

    Science.gov (United States)

    Sarigiannis, Dimosthenis; Sifakis, Nicolaos I.; Soulakellis, Nikos; Tombrou, Maria; Schaefer, Klaus P.

    2004-02-01

    Recent studies worldwide have revealed the relation between urban air pollution, particularly fine aerosols, and human health. The current state of the art in air quality assessment, monitoring and management comprises analytical measurements and atmospheric transport modeling. Earth observation from satellites provides an additional information layer through the calculation of synoptic air pollution indicators, such as atmospheric turbidity. Fusion of these data sources with ancillary data, including classification of population vulnerability to the adverse health effects of fine particulate and, especially, PM10 pollution, in the ambient air, integrates them into an optimally managed environmental information processing tool. Several algorithms pertaining to urban air pollution assessment using HSR satellite imagery have been developed and applied to urban sites in Europe such as Athens, Greece, the Po valley in Northern Italy, and Munich, Germany. Implementing these computational procedures on moderate spatial resolution (MSR) satellite data and coupling the result with the output of HSR data processing provides comprehensive and dynamic information on the spatial distribution of PM10 concentration. The result of EO data processing is corrected to account for the relative importance of the signal due to anthropogenic fine particles, concentrated in the lower troposphere. Fusing the corrected maps of PM10 concentration with data on vulnerable population distribution and implementation of epidemiology-derived exposure-response relationships results in the calculation of indices of the public health risk from PM10 concentration in the ambient air. Results from the pilot application of this technique for integrated environmental and health assessment in the urban environment are given.

  11. Indoor/outdoor PM10 and PM2.5 in Bangkok, Thailand.

    Science.gov (United States)

    Tsai, F C; Smith, K R; Vichit-Vadakan, N; Ostro, B D; Chestnut, L G; Kungskulniti, N

    2000-01-01

    Twenty-four-hour averaged PM10 and PM2.5 concentrations were obtained by using 4-liter-per-minute-pumps and impactors in microenvironments of a busy shopping district and a university hospital campus. In both areas, most people live directly adjacent to their worksites--minimizing the need to measure commuting exposure as part of total daily exposure. Co-located samplers were set in indoor microenvironments, the near-ambient zone of the households, and at nearby streetside central ambient monitoring stations. Smoking and use of other indoor PM sources were recorded daily via questionnaires. Consistent with previous studies, smoking and the use of charcoal stoves increased indoor particulate matter levels. The sampled air-conditioned hospital area had substantially lower particle concentrations than outdoors. A simple total exposure model was used to estimate the human exposure. The averaged ratios of co-located PM2.5/PM10 concentrations in various microenvironments are reported for each location. A single daily indoor average PM10 concentration for all households measured in a given sampling day is calculated for correlation analysis. Results showed that day-to-day fluctuations of these calculated indoor PM10 levels correlated well with near-ambient data and moderately well with ambient data collected at the nearby central monitoring site. This implies that ambient monitors are able to capture the daily variations of indoor PM levels or even personal exposure and may help explain the robust association of ambient PM levels and health effects found in many epidemiological studies. Absolute PM exposures, however, were substantially underestimated by ambient monitors in the shopping district, probably because of strong local sources.

  12. PM(10) emission forecasting using artificial neural networks and genetic algorithm input variable optimization.

    Science.gov (United States)

    Antanasijević, Davor Z; Pocajt, Viktor V; Povrenović, Dragan S; Ristić, Mirjana Đ; Perić-Grujić, Aleksandra A

    2013-01-15

    This paper describes the development of an artificial neural network (ANN) model for the forecasting of annual PM(10) emissions at the national level, using widely available sustainability and economical/industrial parameters as inputs. The inputs for the model were selected and optimized using a genetic algorithm and the ANN was trained using the following variables: gross domestic product, gross inland energy consumption, incineration of wood, motorization rate, production of paper and paperboard, sawn wood production, production of refined copper, production of aluminum, production of pig iron and production of crude steel. The wide availability of the input parameters used in this model can overcome a lack of data and basic environmental indicators in many countries, which can prevent or seriously impede PM emission forecasting. The model was trained and validated with the data for 26 EU countries for the period from 1999 to 2006. PM(10) emission data, collected through the Convention on Long-range Transboundary Air Pollution - CLRTAP and the EMEP Programme or as emission estimations by the Regional Air Pollution Information and Simulation (RAINS) model, were obtained from Eurostat. The ANN model has shown very good performance and demonstrated that the forecast of PM(10) emission up to two years can be made successfully and accurately. The mean absolute error for two-year PM(10) emission prediction was only 10%, which is more than three times better than the predictions obtained from the conventional multi-linear regression and principal component regression models that were trained and tested using the same datasets and input variables. Copyright © 2012 Elsevier B.V. All rights reserved.

  13. Short Term Prediction of PM10 Concentrations Using Seasonal Time Series Analysis

    Directory of Open Access Journals (Sweden)

    Hamid Hazrul Abdul

    2016-01-01

    Full Text Available Air pollution modelling is one of an important tool that usually used to make short term and long term prediction. Since air pollution gives a big impact especially to human health, prediction of air pollutants concentration is needed to help the local authorities to give an early warning to people who are in risk of acute and chronic health effects from air pollution. Finding the best time series model would allow prediction to be made accurately. This research was carried out to find the best time series model to predict the PM10 concentrations in Nilai, Negeri Sembilan, Malaysia. By considering two seasons which is wet season (north east monsoon and dry season (south west monsoon, seasonal autoregressive integrated moving average model were used to find the most suitable model to predict the PM10 concentrations in Nilai, Negeri Sembilan by using three error measures. Based on AIC statistics, results show that ARIMA (1, 1, 1 × (1, 0, 012 is the most suitable model to predict PM10 concentrations in Nilai, Negeri Sembilan.

  14. Source Apportionment of PM10 by Positive Matrix Factorization in Urban Area of Mumbai, India

    Directory of Open Access Journals (Sweden)

    Indrani Gupta

    2012-01-01

    Full Text Available Particulate Matter (PM10 has been one of the main air pollutants exceeding the ambient standards in most of the major cities in India. During last few years, receptor models such as Chemical Mass Balance, Positive Matrix Factorization (PMF, PCA–APCS and UNMIX have been used to provide solutions to the source identification and contributions which are accepted for developing effective and efficient air quality management plans. Each site poses different complexities while resolving PM10 contributions. This paper reports the variability of four sites within Mumbai city using PMF. Industrial area of Mahul showed sources such as residual oil combustion and paved road dust (27%, traffic (20%, coal fired boiler (17%, nitrate (15%. Residential area of Khar showed sources such as residual oil combustion and construction (25%, motor vehicles (23%, marine aerosol and nitrate (19%, paved road dust (18% compared to construction and natural dust (27%, motor vehicles and smelting work (25%, nitrate (16% and biomass burning and paved road dust (15% in Dharavi, a low income slum residential area. The major contributors of PM10 at Colaba were marine aerosol, wood burning and ammonium sulphate (24%, motor vehicles and smelting work (22%, Natural soil (19%, nitrate and oil burning (18%.

  15. GC-MS characterization of contemporary pesticides in PM10 of Valencia Region, Spain

    Science.gov (United States)

    Hart, Elizabeth; Coscollà, Clara; Pastor, Agustín; Yusà, Vicent

    2012-12-01

    Better knowledge of the occurrence of pesticides in the inhalable fraction of particulate matter (PM10) could be very useful for future exposure assessment in individuals of the general public. The present work studies the spatial and temporal distribution of the occurrence of currently used pesticides (CUPs) in PM10. Ambient air samples were collected from January through December 2010 at one remote, one urban and three rural sites in Valencia Region (Spain) and analyzed for 42 CUPs using a gas chromatography coupled to mass spectrometry in tandem (GC-MS/MS) approach. Overall, 24 pesticides were detected in the PM10 fraction, four of them currently banned pesticides. Among those detected, concentrations of two particle-bound pesticides (permethrin and pyrimethanil) were, to our knowledge, reported for the first time in air in the literature. The detected pesticides appeared at frequencies ranging from agricultural practices, mostly in spring and early summer. These findings suggest that more efforts are required to implement an extensive air monitoring network in Europe for pesticide control and to develop regulations or recommendations regarding pesticide levels in ambient air.

  16. Estimating AOT and PM10 over Germany and Stockholm using MERIS/Envisat data

    Science.gov (United States)

    Rohen, Günter; von Hoyningen-Huene, Wolfgang; Kokhanovsky, Alexander; Glantz, Paul; Dinter, Tilman

    Particulate Matter (PM10) mass concentrations have been derived over Germany and Stockholm using aerosol optical thickness (AOT), retrieved from MERIS/Envisat radiance spectra with the Bremen AErosol Retrieval (BAER). The estimation of surface reflectance is based on a vegetation - bare soil - mixing model, using the normalized difference vegetation index (NDVI) of the actual satellite scenes and a bidirectional reflectance distribution function (BRDF). An extension of BAER, the Particulate Matter BAER (PMBAER) is based on effective radius, derived from Angstr¨m coefficent at 440 and 665 nm, and a fixed mono-log-normal size diso tribution function in order to determine the columnar aerosol volume. Assumptions of AOT fraction within the boundary layer height, humidity state and density are used to scale down the columnar aerosol volume to PM10 concentrations. Validation of the AOT with AERONET stations is presented as well as comparisons of the retrieved PM10 and measurements from the national air quality surveillance network. The spaceborne optical measurements show a good agreement with the ground based data and indicate that it is possible to use measurements from satellites in order to improve existent air quality surveillances and to extend their spatial coverage significantly.

  17. Estimating AOT and PM10 over Germany using MERIS/Envisat data

    Science.gov (United States)

    Rohen, G.; von Hoyningen-Huene, W.; Kokhanovsky, A.; Dinter, T.; Bovensmann, H.; Burrows, J.

    2008-05-01

    Particulate Matter (PM10) mass concentrations have been derived over Germany using aerosol optical thickness (AOT), retrieved from MERIS/Envisat radiance spectra with the Bremen AErosol Retrieval (BAER). The estimation of surface reflectance is based on a vegetation - bare soil - mixing model, using the normalized difference vegetation index (NDVI) of the actual satellite scenes and a bidirectional reflectance distribution function (BRDF). An extension of BAER, the Particulate Matter BAER (PMBAER) is based on effective radius, derived from alpha coefficient at 440 and 665 nm, and a fixed mono-log-normal size distribution function in order to determine the columnar aerosol volume. Assumptions of AOT fraction within the boundary layer height (BLH), humidity state and density are used to scale down the columnar aerosol volume to PM10 concentrations. Validation of the AOT with AERONET stations is presented as well as comparisons of the retrieved PM10 and measurements from the national air quality surveillance network. The spaceborne optical measurements reveal a good agreement with the ground based data and indicate that it is possible to use measurements from satellites in order to improve existent air quality surveillances or to extend their spatial coverage.

  18. Modelling street level PM10 concentrations across Europe: source apportionment and possible futures

    Science.gov (United States)

    Kiesewetter, G.; Borken-Kleefeld, J.; Schöpp, W.; Heyes, C.; Thunis, P.; Bessagnet, B.; Terrenoire, E.; Fagerli, H.; Nyiri, A.; Amann, M.

    2015-02-01

    Despite increasing emission controls, particulate matter (PM) has remained a critical issue for European air quality in recent years. The various sources of PM, both from primary particulate emissions as well as secondary formation from precursor gases, make this a complex problem to tackle. In order to allow for credible predictions of future concentrations under policy assumptions, a modelling approach is needed that considers all chemical processes and spatial dimensions involved, from long-range transport of pollution to local emissions in street canyons. Here we describe a modelling scheme which has been implemented in the GAINS integrated assessment model to assess compliance with PM10 (PM with aerodynamic diameter European Union until 2030 under different policy scenarios. Significant improvements in ambient PM10 concentrations are expected assuming successful implementation of already agreed legislation; however, these will not be large enough to ensure attainment of PM10 limit values in hot spot locations such as Southern Poland and major European cities. Remaining issues are largely eliminated in a scenario applying the best available emission control technologies to the maximal technically feasible extent.

  19. PM10, PM2.5 and PM1 distribution in Penang Island, Malaysia

    Science.gov (United States)

    Beh, B. C.; Tan, F.; Tan, C. H.; Syahreza, S.; Mat Jafri, M. Z.; Lim, H. S.

    2013-05-01

    Particulate Matter (PM) consist of tiny solid or liquid particles that floating freely in the air. PM10 refers to the particles which have size up to 10 microns (μm). The smaller the particle size (such as PM1), the more severe it will affect our human health if we inhaled too much into our lungs. In this paper, we used the DustTrack{trade mark, serif} Aerosol Monitor with Model 8520 to obtain the PM distribution (PM10, PM2.5 and PM1) in Penang Island. The in-situ measurement was taken on 10 August 2012 at Georgetown, Batu Ferringhi and Permatang Damar Laut open area. The data obtained was analyzed and interpreted. The results show that the dust level at Permatang Damar Laut was low as compare to the other two areas which are located in town area. The highest PM10, PM2.5 and PM1 dust level with an averaging time of 6 hours was observed at Batu Ferringhi with a reading of 200, 194 and 185μg/m3. This study can provide a guideline to detect and monitor the dust level at Penang Island. Further study can be done to monitor the temporal changes of air quality over Penang Island, Malaysia.

  20. Geochemical characterization of PM10 emitted by glass factories in Murano, Venice (Italy).

    Science.gov (United States)

    Rampazzo, Giancarlo; Masiol, Mauro; Visin, Flavia; Rampado, Egisto; Pavoni, Bruno

    2008-05-01

    The atmosphere in Venice, like in other European cities, is influenced by complex PM(10) multi-emission sources with a net tendency to exceed the limits fixed by the directive 99/30/EC. This study investigated the composition of an ensemble of similar industrial sources, the Murano Glassmaking Factories (MGFs), and their influence on the Venice air quality, using a modelling approach, statistical analysis and geochemical considerations. Preliminary modelling simulations were conducted to select three sampling sites along the way of preferential transport of pollutants from source between February and April 2003. Subsequently, a sampling campaign was carried out in the same period of simulations. Concentrations of PM(10), eight major elements (Al, Ti, Ca, Mg, Na, K, Fe, Mn), 20 minor and trace elements (Li, V, Cr, Co, Ni, Cu, Zn, Ga, As, Se, Rb, Sr, Ru, Rh, Cd, Sb, Ba, Ce, Pt, Pb) and four PAHs (BaA, BbF, BkF, BaP) were quantified. The analytical results were statistically processed for exploring the relationships between inorganic elements and organic compounds, and results were interpreted using geochemical considerations. Results show a MGF component of PM(10) characterised by two different fingerprints: the first linked to glass raw material composition and the second mainly related to glass additives. Particularly, Cd, Se, As and Li preserve their ratios in all study area, and are interpreted as principal components of the MGF emissions. Other fingerprints can be traced to urban sources from the Venetian mainland.

  1. Respiratory health concerns in children at some strategic locations from high PM levels during crop residue burning episodes

    Science.gov (United States)

    Gupta, Sachin; Agarwal, Ravinder; Mittal, Susheel K.

    2016-07-01

    Particulate Matter (PM) levels in the ambient air of three urban sites of strategic importance in Punjab (second largest agricultural state of India) were monitored from September 2013 to June 2014 covering two seasons of crop residue burning episodes of rice and wheat, respectively. During both crop periods, the levels varied from 71 to 167 μgm-3(PM10) and 43-107 μgm-3 (PM2.5), which were observed to be much beyond the permissible limits of 100 μgm-3 for PM10 and 60 μgm-3 for PM2.5 set by state pollution control agencies. Simultaneously, Pulmonary Function Test (PFT) parameters of children (age group 10-16 years) residing at these sites were monitored. PFT parameters like Forced Vital Capacity (FVC) and Peak Expiratory Flow (PEF) were monitored on 50 healthy subjects at each site. The results indicated an alarming fall in FVC (5%-7%) and in PEF (4%-6%) parameters during the crop residue burning period's .The decrement was almost same for all age groups of children. The adverse effect was more on female subjects than male subjects. The impact of particulate matter pollution was more prominent in industrially important site (7%, SIS) as compared to historically (3%, HIS) and commercially (4%, CAS) important sites.

  2. Evaluation of a multiple regression model for the forecasting of the concentrations of NOx and PM10 in Athens and Helsinki.

    Science.gov (United States)

    Vlachogianni, A; Kassomenos, P; Karppinen, Ari; Karakitsios, S; Kukkonen, Jaakko

    2011-03-15

    Forecasting models based on stepwise multiple linear regression (MLR) have been developed for Athens and Helsinki. The predictor variables were the hourly concentrations of pollutants (NO, NO(2), NO(x), CO, O(3), PM(2.5) and PM(10)) and the meteorological variables (ambient temperature, wind speed/direction, and relative humidity) and in case of Helsinki also Monin-Obukhov length and mixing height of the present day. The variables to be forecasted are the maximum hourly concentrations of PM(10) and NO(x), and the daily average PM(10) concentrations of the next day. The meteorological pre-processing model MPP-FMI was used for computing the Monin-Obukhov length and the mixing height. The limitations of such statistical models include the persistence of both the meteorological and air quality situation; the model cannot account for rapid changes (on a temporal scale of hours or less than a day) that are commonly associated, e.g., with meteorological fronts, or episodes of a long-range transport origin. We have selected the input data for the model from one urban background and one urban traffic station both in Athens and Helsinki, in 2005. We have used various statistical evaluation parameters to analyze the performance of the models, and inter-compared the performance of the predictions for both cities. Forecasts from the MLR model were also compared to those from an Artificial Neural Network model (ANN) to investigate, if there are substantial gains that might justify the additional computational effort. The best predictor variables for both cities were the concentrations of NO(x) and PM(10) during the evening hours as well as wind speed, and the Monin-Obukhov length. In Athens, the index of agreement (IA) for NO(x) ranged from 0.77 to 0.84 and from 0.69 to 0.72, in the warm and cold periods of the year. In Helsinki, the corresponding values of IA ranged from 0.32 to 0.82 and from 0.67 to 0.86 for the warm and cold periods. In case of Helsinki the model accuracy was

  3. Anti-Inflammatory Effects of Pomegranate Peel Extract in THP-1 Cells Exposed to Particulate Matter PM10

    Directory of Open Access Journals (Sweden)

    Soojin Park

    2016-01-01

    Full Text Available Epidemiological and experimental evidence support health risks associated with the exposure to airborne particulate matter with a diameter of <10 μM (PM10. PM10 stimulates the production of reactive oxygen species (ROS and inflammatory mediators. Thus, we assumed that natural antioxidants might provide health benefits attenuating hazardous effects of PM10. In the present study, we examined the effects of pomegranate peel extract (PPE on THP-1 monocytic cells exposed to PM10. PM10 induced cytotoxicity and the production of ROS. It also increased the expression and secretion of inflammatory cytokines, such as tumor necrosis factor-α (TNF-α, interleukin-1β (IL-1β, and monocyte chemoattractant protein-1 (MCP-1, and cell adhesion molecules, such as intercellular adhesion molecule-1 (ICAM-1 and vascular cell adhesion molecule-1 (VCAM-1. PPE at 10–100 μg mL−1 attenuated the production of ROS and the expression of TNF-α, IL-1β, MCP-1, and ICAM-1, but not VCAM-1, in THP-1 cells stimulated by PM10 (100 μg mL−1. PPE also attenuated the adhesion of PM10-stimulated THP-1 cells to EA.hy926 endothelial cells. PPE constituents, punicalagin and ellagic acid, attenuated PM10-induced monocyte adhesion to endothelial cells, and punicalagin was less cytotoxic compared to ellagic acid. The present study suggests that PPE and punicalagin may be useful in alleviating inflammatory reactions due to particulate matter.

  4. Source contributions to PM2.5 and PM10 at an urban background and a street location

    NARCIS (Netherlands)

    Keuken, M.P.; Moerman, M.M.; Voogt, M.H.

    2013-01-01

    The contribution of regional, urban and traffic sources to PM2.5 and PM10 in an urban area was investigated in this study. The chemical composition of PM2.5 and PM10 was measured over a year at a street location and up- and down-wind of the city of Rotterdam, the Netherlands. The 14C content in EC

  5. Source contributions to PM2.5 and PM10 at an urban background and a street location

    NARCIS (Netherlands)

    Keuken, M. P.; Moerman, M.; Voogt, M.; Blom, M.; Weijers, E. P.; Rockmann, T.; Dusek, U.

    The contribution of regional, urban and traffic sources to PM2.5 and PM10 in an urban area was investigated in this study. The chemical composition of PM2.5 and PM10 was measured over a year at a street location and up- and down-wind of the city of Rotterdam, the Netherlands. The C-14 content in EC

  6. 76 FR 8300 - Finding of Failure To Submit State Implementation Plan Revisions for Particulate Matter, PM-10...

    Science.gov (United States)

    2011-02-14

    ... AGENCY 40 CFR Part 52 Finding of Failure To Submit State Implementation Plan Revisions for Particulate Matter, PM-10, Maricopa County (Phoenix) PM-10 Nonattainment Area, AZ AGENCY: Environmental Protection... a state implementation plan (SIP) submittal required under the Clean Air Act (CAA or Act) for the...

  7. Recovery from episodic acidification delayed by drought and high sea salt deposition

    Directory of Open Access Journals (Sweden)

    H. Laudon

    2008-03-01

    Full Text Available For the prediction of episodic acidification large uncertainties are connected to climatic variability and its effect on drought conditions and sea-salt episodes. In this study data on 342 hydrological episodes in 25 Swedish streams, sampled over 10 years, have been analyzed using a recently developed episode model. The results demonstrate that drought is the most important factor modulating the magnitude of the anthropogenic influence on pH and ANC during episodes. These modulating effects are especially pronounced in southern and central Sweden, where the historically high acid deposition has resulted in significant S pools in catchment soils. The results also suggest that the effects of episodic acidification are becoming less severe in many streams, but this amelioration is less clear in coastal streams subject to high levels of sea-salt deposition. Concurrently with the amelioration of the effects of episodic acidification, regional climate models predict that temperatures will increase in Sweden during the coming decades, accompanied by reductions in summer precipitation and more frequent storms during fall and winter in large areas of the country. If these predictions are realized delays in streams' recovery from episodic acidification events can be expected.

  8. Vertical and horizontal variability of PM10 source contributions in Barcelona during SAPUSS

    Directory of Open Access Journals (Sweden)

    M. Brines

    2016-06-01

    Full Text Available During the SAPUSS campaign (Solving Aerosol Problems by Using Synergistic Strategies PM10 samples at 12-hour resolution were simultaneously collected at four monitoring sites located in the urban agglomerate of Barcelona (Spain. A total of 221 samples were collected from 20 September to 20 October 2010. The Road Site (RS site and the Urban Background (UB site were located at street level, whereas the Torre Mapfre (TM and the Torre Collserola (TC sites were located at 150 m a.s.l. by the sea side within the urban area and at 415 m a.s.l. 8 km inland, respectively. For the first time, we are able to report simultaneous PM10 aerosol measurements, allowing us to study aerosol gradients at both horizontal and vertical levels. The complete chemical composition of PM10 was determined on the 221 samples, and factor analysis (positive matrix factorisation, PMF was applied. This resulted in eight factors which were attributed to eight main aerosol sources affecting PM10 concentrations in the studied urban environment: (1 vehicle exhaust and wear (2–9 µg m−3, 10–27 % of PM10 mass on average, (2 road dust (2–4 µg m−3, 8–12 %, (3 mineral dust (5 µg m−3, 13–26 %, (4 aged marine (3–5 µg m−3, 13–20 %, (5 heavy oil (0.4–0.6 µg m−3, 2 %, (6 industrial (1 µg m−3, 3–5 %, (7 sulfate (3–4 µg m−3, 11–17 % and (8 nitrate (4–6 µg m−3, 17–21 %. Three aerosol sources were found to be enhanced at the ground levels (confined within the urban ground levels of the city relative to the upper levels: (1 vehicle exhaust and wear (2.8 higher, (2 road dust (1.8 higher and (3 local urban industries/crafts workshops (1.6 higher. Surprisingly, the other aerosol sources were relatively homogeneous at both horizontal and vertical levels. However, air mass origin and meteorological parameters also played a key role in influencing the variability of the factor

  9. A method to estimate the distribution of various fractions of PM 10 in ambient air in the Netherlands

    Science.gov (United States)

    Janssen, L. H. J. M.; Buringh, E.; van der Meulen, A.; van den Hout, K. D.

    Eight rules based on measurements, model calculations, additional deductions and expert judgement have been devised for use in estimating the distribution and sources of various fractions of PM 10 in the Netherlands. As some of the underlying assumptions to these rules are debatable, they can be best characterized as "rules of thumb". A brief rationale is given for each rule. Using these rules it is concluded that a previous expert judgement of a contribution of 20% from Dutch sources to PM 10 levels in the Netherlands is probably too low. Different values for the national contribution to the ambient PM 10 levels in the Netherlands have been evaluated. A contribution of 40-45% to PM 10 levels from Dutch sources is shown to meet two decisive criteria: (1) a reasonable ratio of PM 10 originating from national and foreign sources and (2) a reasonable ratio of the fine and coarse fractions of PM 10. Such a contribution also agrees with available data. This study shows that a higher national contribution to the ambient PM 10 levels implies a larger share of local emissions of coarse particles >2.5 μm than previously estimated. It appears that the original concept of a "blanket" of homogeneous PM 10 concentrations covering the Netherlands, a useful concept to describe the occurrence of shallow concentration gradients on geographical scales smaller than the country as a whole, has turned out to be more of a "patchwork quilt". Although the measured concentration gradients are low (chemical composition of PM 10 may differ spatially due to the contribution of local sources emitting aerosols in the coarser fraction of PM 10.

  10. Chemical Characteristics of High PM Episodes Occurring in Spring 2014, Seoul, Korea

    Directory of Open Access Journals (Sweden)

    Hye Jung Shin

    2016-01-01

    Full Text Available This study was conducted for understanding of characteristics of two different high PM episodes occurred during the spring of 2014 in Seoul, Korea. Case 1 was the phenomenon by complex of long range transport and following domestic stagnation. Case 2 was caused by the Asian dust event. During high PM episodes, atmospheric condition became more acidic. The equivalent concentration ratio of nitrate to sulfate decreased to 0.75 and 0.95 in Case 1 and Case 2, respectively, implying that sulfate concentration increase was greater than nitrate concentration increase in high PM episode possibly caused by long range transport. In high PM episodes, SOR and NOR increased with steeper rate for NOR. Considering correlation between temperature and SOR, it was suggested that the homogeneous formation of sulfate was not active in the Korean Peninsula, especially in high PM episodic periods. On the other hand, heterogeneous sulfate formation reaction was dominant for high PM episodes. Considering NOR and its correlation with temperature and humidity, it was suggested that NO2 oxidation was mainly caused by homogeneous oxidation in Case 1. For Case 2, heterogeneous oxidation mainly contributed to forming the nitrate due to the extremely high particle concentrations in Asian dust.

  11. Spatiotemporal Characteristics of Air Pollutants (PM10, PM2.5, SO2, NO2, O3, and CO in the Inland Basin City of Chengdu, Southwest China

    Directory of Open Access Journals (Sweden)

    Kuang Xiao

    2018-02-01

    Full Text Available Most cities in China are experiencing severe air pollution due to rapid economic development and accelerated urbanization. Long-term air pollution data with high temporal and spatial resolutions are needed to support research into physical and chemical processes that affect air quality, and the corresponding health risks. For the first time, data on PM10, PM2.5, SO2, NO2, O3 and CO concentrations in 23 ambient air quality automatic monitoring stations and routine meteorological were collected between January 2014 and December 2016 to determine the spatial and temporal variation in these pollutants and influencing factors in Chengdu. The annual mean concentrations of PM2.5 and PM10 exceeded the standard of Chinese Ambient Air Quality and World Health Organization guidelines standards at all of the stations. The concentrations of PM10, PM2.5, SO2 and CO decreased from 2014 to 2016, and the NO2 level was stable, whereas the O3 level increased markedly during this period. The air pollution characteristics in Chengdu showed simultaneously high PM concentrations and O3. High PM concentrations were mainly observed in the middle region of Chengdu and may have been due to the joint effects of industrial and vehicle emissions. Ozone pollution was mainly due to vehicle emissions in the downtown area, and industry had a more important effect on O3 in the northern area with fewer vehicles. The concentrations of PM10, PM2.5, NO2 and CO were highest in winter and lowest in summer; the highest SO2 concentration was also observed in winter and was lowest in autumn, whereas the O3 concentration peaked in summer. Haze pollution can easily form under the weather conditions of static wind, low temperature and relative humidity, and high surface pressure inside Chengdu. In contrast, severe ozone pollution is often associated with high temperature.

  12. Characteristics of PM10 Chemical Source Profiles for Geological Dust from the South-West Region of China

    Directory of Open Access Journals (Sweden)

    Yayong Liu

    2016-11-01

    Full Text Available Ninety-six particulate matter (PM10 chemical source profiles for geological sources in typical cities of southwest China were acquired from Source Profile Shared Service in China. Twenty-six elements (Na, Mg, Al, Si, K, Ca, Ti, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, Ga, As, Se, Sr, Cd, Sn, Sb, Ba, Be, Tl and Pb, nine ions (F−, Cl−, SO42−, NO3−, Na+, NH4+, K+, Mg2+ and Ca2+, and carbon-containing species (organic carbon and elemental carbon were determined to construct these profiles. Individual source profiles were averaged and compared to quantify similarities and differences in chemical abundances using the profile-compositing method. Overall, the major components of PM10 in geological sources were crustal minerals and undefined fraction. Different chemical species could be used as tracers for various types of geological dust in the region that resulted from different anthropogenic influence. For example, elemental carbon, V and Zn could be used as tracers for urban paved road dust; Al, Si, K+ and NH4+ for agricultural soil; Al and Si for natural soil; and SO42− for urban resuspended dust. The enrichment factor analysis showed that Cu, Se, Sr and Ba were highly enriched by human activities in geological dust samples from south-west China. Elemental ratios were taken to highlight the features of geological dust from south-west China by comparing with northern urban fugitive dust, loess and desert samples. Low Si/Al and Fe/Al ratios can be used as markers to trace geological sources from southwestern China. High Pb/Al and Zn/Al ratios observed in urban areas demonstrated that urban geological dust was influenced seriously by non-crustal sources.

  13. Characterization of biomass burning from olive grove areas: A major source of organic aerosol in PM10 of Southwest Europe

    Science.gov (United States)

    Sánchez de la Campa, Ana M.; Salvador, Pedro; Fernández-Camacho, Rocío; Artiñano, Begoña; Coz, Esther; Márquez, Gonzalo; Sánchez-Rodas, Daniel; de la Rosa, Jesús

    2018-01-01

    The inorganic and organic geochemistry of aerosol particulate matter (APM) was studied in a major olive grove area from Southwest Europe (Baena, Spain). The biomass consists of olive tree branches and the solid waste resulting of the olive oil production. Moreover, high PM10 levels were obtained (31.5 μg m- 3), with two days of exceedance of the daily limit of 50 μg m- 3 (2008/50/CE; EU, 2008) during the experimental period. A high mean levoglucosan concentration was obtained representing up 95% of the total mass of the isomers analysed (280 ng m- 3), while galactosan and mannosan mean concentrations were lower (8.64 ng m- 3 and 7.86 ng m- 3, respectively). The contribution of wood smoke in Baena was estimated, representing 19% of OC and 17% of OM total mass. Positive matrix factor (PMF) was applied to the organic and inorganic aerosols data, which has permitted the identification of five source categories: biomass burning, traffic, mineral dust, marine aerosol and SIC (secondary inorganic compounds). The biomass burning category reached the highest mean contribution to the PM10 mass (41%, 17.6 μg m- 3). In light of these results, the use of biomass resulting from the olive oil production for residential heating and industry must be considered the most important aerosol source during the winter months. The results of this paper can be extrapolated to other olive oil producing areas in the Mediterranean basin. Therefore, a fuller understanding of this type of biomass combustion is required in order to be able to establish appropriate polices and reduce the environmental impact on the population.

  14. Temporal variation of PM10 concentration and properties in Istanbul 2007-2015

    Science.gov (United States)

    Flores, Rosa M.; Kaya, Nefel; Eşer, Övgü; Saltan, Şehnaz

    2017-04-01

    The study of temporal variation of atmospheric aerosols is essential for a better understanding of sources, transport, and accumulation in the atmosphere. In addition, the study of aerosol properties is important for the understanding of their formation and potential impacts on ecosystems and climate change. Istanbul is a Megacity that often shows exceedance in particulate matter (PM) standard values, especially during the winter season. In this work, temporal variations of hourly ground-level PM10 concentrations, aerosol optical depth (AOD), aerosol index (AI), vertical distribution, and mineral dust loadings were investigated according to air mass trajectory clusters in Istanbul during 2007-2015. Aerosol properties (i.e., AOD, AI, and vertical distribution) and mineral dust loadings were retrieved from satellite observations and the BSC-DREAM8b model, respectively. Air mass backward trajectories and clustering were supplied by NOAA-HYSPLIT model. Mineral dust transport events were characterized according to the exceedance of a dust loading threshold value. The total number of mineral dust transport events ranged from 115 to 183 during the study period. The largest number of mineral dust transport events were observed in 2008 and 2014. However, the highest ground-level PM10 measurements were observed in 2012-2013 with approximately 70% of the daily average concentrations exceeding the air quality standard of 50 µg m-3. Overall, 5-6 air mass trajectory clusters were able to resolve over 85% of the total spatial variance. These trajectories vary in frequency and direction throughout the years, however, the main trajectories favor aerosol transport from N, NE, NNE, and S, and SE. Evaluation of mineral dust loading and PM10 concentrations is helpful for successful development and implementation of air quality management strategies on local levels.

  15. Chemical mass balance source apportionment of fine and PM10 in the Desert Southwest, USA

    Directory of Open Access Journals (Sweden)

    Andrea L. Clements

    2016-03-01

    Full Text Available The Desert Southwest Coarse Particulate Matter Study was undertaken in Pinal County, Arizona, to better understand the origin and impact of sources of fine and coarse particulate matter (PM in rural, arid regions of the U.S. southwestern desert. The desert southwest experiences some of the highest PM10 mass concentrations in the country. To augment previously reported results, 6-week aggregated organic speciation data that included ambient concentrations of n-alkanes, polycyclic aromatic hydrocarbons, organic acids, and saccharides were used in chemical mass balance modeling (CMB. A set of re-suspended soil samples were analyzed for specific marker species to provide locally-appropriate source profiles for the CMB analysis. These profiles, as well as previously collected plant and fungal spore profiles from the region, were combined with published source profiles for other relevant sources and used in the CMB analysis. The six new region-specific source profiles included both organic and inorganic species for four crustal material sources, one plant detritus source, and one fungal spore source.Results indicate that up to half of the ambient PM2.5 was apportioned to motor vehicles with the highest regional contribution observed in the small urban center of Casa Grande. Daily levels of apportioned crustal material accounted for up to 50% of PM2.5 mass with the highest contributions observed at the sites closest to active agricultural areas. Apportioned secondary PM, biomass burning, and road dust typically contributed less than 35% as a group to the apportioned PM2.5 mass. Crustal material was the primary source apportioned to PM10 and accounted for between 50–90% of the apportioned mass. Of the other sources apportioned to PM10, motor vehicles and road dust were the largest contributors at the urban and one of the rural sites, whereas road dust and meat cooking operations were the largest contributors at the other rural site.

  16. Isotopic signatures suggest important contributions from recycled gasoline, road dust and non-exhaust traffic sources for copper, zinc and lead in PM10 in London, United Kingdom

    Science.gov (United States)

    Dong, Shuofei; Ochoa Gonzalez, Raquel; Harrison, Roy M.; Green, David; North, Robin; Fowler, Geoff; Weiss, Dominik

    2017-09-01

    The aim of this study was to improve our understanding of what controls the isotope composition of Cu, Zn and Pb in particulate matter (PM) in the urban environment and to develop these isotope systems as possible source tracers. To this end, isotope ratios (Cu, Zn and Pb) and trace element concentrations (Fe, Al, Cu, Zn, Sb, Ba, Pb, Cr, Ni and V) were determined in PM10 collected at two road sites with contrasting traffic densities in central London, UK, during two weeks in summer 2010, and in potential sources, including non-combustion traffic emissions (tires and brakes), road furniture (road paint, manhole cover and road tarmac surface) and road dust. Iron, Ba and Sb were used as proxies for emissions derived from brake pads, and Ni, and V for emissions derived from fossil fuel oil. The isotopic composition of Pb (expressed using 206Pb/207Pb) ranged between 1.1137 and 1.1364. The isotope ratios of Cu and Zn expressed as δ65CuNIST976 and δ66ZnLyon ranged between -0.01‰ and +0.51‰ and between -0.21‰ and +0.33‰, respectively. We did not find significant differences in the isotope signatures in PM10 over the two weeks sampling period and between the two sites, suggesting similar sources for each metal at both sites despite their different traffic densities. The stable isotope composition of Pb suggests significant contribution from road dust resuspension and from recycled leaded gasoline. The Cu and Zn isotope signatures of tires, brakes and road dust overlap with those of PM10. The correlation between the enrichments of Sb, Cu, Ba and Fe in PM10 support the previously established hypothesis that Cu isotope ratios are controlled by non-exhaust traffic emission sources in urban environments (Ochoa Gonzalez et al., 2016). Analysis of the Zn isotope signatures in PM10 and possible sources at the two sites suggests significant contribution from tire wear. However, temporary additional sources, likely high temperature industrial emissions, need to be invoked

  17. Desert dust contribution to PM10 loads in Italy: Methods and recommendations addressing the relevant European Commission Guidelines in support to the Air Quality Directive 2008/50

    Science.gov (United States)

    Barnaba, Francesca; Bolignano, Andrea; Di Liberto, Luca; Morelli, Matteo; Lucarelli, Franco; Nava, Silvia; Perrino, Cinzia; Canepari, Silvia; Basart, Sara; Costabile, Francesca; Dionisi, Davide; Ciampichetti, Spartaco; Sozzi, Roberto; Gobbi, Gian Paolo

    2017-07-01

    In 2011 the European Commission (EC) released specific 'Guidelines' describing the methods to quantify and subtract the contribution of natural sources from the PM10 values regulated by the European Air Quality Directive (2008/50/EC). This work investigates the applicability to Italy of the EC-Methodology suggested for desert-dust, describes main limitations encountered and proposes specific modifications embedded within a 'revised-Methodology' to extend/improve its use. The revised-Methodology capabilities are evaluated using original, chemically-resolved mineral-dust mass concentration measurements, showing better performances in predicting timing and absolute values of the desert-dust contribution to the daily-PM10 with respect to the current EC-approach. The revised-Methodology is then translated into an automatic (user-independent) tool tailored to the expected final-users. This tool is applied over Central Italy across a 3-year long period (2012-2014), and over the whole Italian country for a calendar year (2012). The derived results confirm and extend to Italian regions never addressed before some previously observed features of the desert-dust impact over the country, such as a clear latitudinal dependence of the desert-dust impact on the yearly average PM10 (from more than 5 μg/m3 to less than 0.5 μg/m3, going from south to north Italy). The modifications introduced within the revised-Methodology also suggest a non-negligible role of desert-dust resuspension in areas characterized by both high traffic levels and soil sealing (urban areas and along the major Italian routes). In the Rome area, such an effect is found to add a contribution of about 2 μg/m3 (i.e., of 20%) to the mean desert-dust load per dust day (about 10 μg/m3). At the national level, this effect contributes increasing the total number of desert-dust-driven exceedances of the PM10 daily limit value even in the northern regions, where the desert-dust impact on the PM10 yearly average is

  18. Release of IL-1β Triggered by Milan Summer PM10: Molecular Pathways Involved in the Cytokine Release

    Directory of Open Access Journals (Sweden)

    Rossella Bengalli

    2013-01-01

    Full Text Available Particulate matter (PM exposure is related to pulmonary and cardiovascular diseases, with increased inflammatory status. The release of the proinflammatory interleukin- (IL- 1β, is controlled by a dual pathway, the formation of inactive pro-IL-1β, through Toll-like receptors (TLRs activation, and its cleavage by NLRP3 inflammasome. THP-1-derived macrophages were exposed for 6 h to 2.5 μg/cm2 of Milan PM10, and the potential to promote IL-1β release by binding TLRs and activating NLRP3 has been examined. Summer PM10, induced a marked IL-1β response in the absence of LPS priming (50-fold increase compared to unexposed cells, which was reduced by caspase-1 inhibition (91% of inhibition respect summer PM10-treated cells and by TLR-2 and TLR-4 inhibitors (66% and 53% of inhibition, resp.. Furthermore, summer PM10 increased the number of early endosomes, and oxidative stress inhibition nearly abolished PM10-induced IL-1β response (90% of inhibition. These findings suggest that summer PM10 contains constituents both related to the activation of membrane TLRs and activation of the inflammasome NLPR3 and that TLRs activation is of pivotal importance for the magnitude of the response. ROS formation seems important for PM10-induced IL-1β response, but further investigations are needed to elucidate the molecular pathway by which this effect is mediated.

  19. PM10 Concentration Estimates over Costa Rica using Chemical Transport Modeling Techniques

    Science.gov (United States)

    Briceno-Castillo, J. S.; Vidaurre, G.; Herrera, J.; Mora, R.; Rivera-fernandez, E. R.; Duran-Quesada, A. M.

    2016-12-01

    Aerosol pollution has become a major issue in Costa Rica because of the urban development that induces an increase in vehicle and industrial emissions. The Metropolitan area in Costa Rica is a valley ( 1,967 km2 area) with a population of 2.6 million. This area concentrates 60% of the country's total industry and 57% of its vehicle emissions. In addition, this area is impacted by biogenic emissions coming from national forests surround it and windblown dust from the Sahara Desert transported by the Trade winds. PM10 and other criteria pollutants have been measured in the past 12 years. However, those monitor stations are single points of observation and do not represent the spatial and temporal resolution that the Costa Rican national government requires for long term policy decisions and health effects assessments. This investigation uses the Weather Research and Forecasting model coupled with Chemistry version 3.7 (WRF-Chem) to forecast PM10 concentration over Costa Rica in 2013. The temporal scales take into consideration the dry, rainy, and transition seasons of the country. The spatial domain was constructed with a master domain (27 km resolution) and multiple nested-domains (9, 3, and 1 km respectively) that include the total area of Costa Rica. The meteorology data bases for this model are from the European Centre for Medium-Range Weather Forecasts (ECMWF) Interim Reanalysis (Era-Interim; Dee et al. 2011). In addition, the chemical transport model uses emissions inventories from the PREP-CHEM-SRC tool, because of the lack of an appropriate national emission inventory for this investigation. The total average of PM10 observed at the metropolitan area of Costa Rica was 26±9 μgm-3 in 2013. According to the World Health Organization, this result exceeds the PM10 standard established in the air quality guidelines (WHO 2005). The final goal of this investigation is to evaluate the chemical transport simulations with ground-level measurements from more than 10

  20. Feasibility of including fugitive PM-10 emissions estimates in the EPA emissions trends report

    Energy Technology Data Exchange (ETDEWEB)

    Barnard, W.; Carlson, P.

    1990-09-01

    The report describes the results of Part 2 of a two part study. Part 2 was to evaluate the feasibility of developing regional emission trends for PM-10. Part 1 was to evaluate the feasibility of developing VOC emission trends, on a regional and temporal basis. These studies are part of the effort underway to improve the national emission trends. Part 1 is presented in a separate report. The categories evaluated for the feasibility of developing regional emissions estimates were: unpaved roads, paved roads, wind erosion, agricultural tilling, construction activities, feedlots, burning, landfills, mining and quarrying unpaved parking lots, unpaved airstrips and storage piles.

  1. Theta and High-Frequency Activity Mark Spontaneous Recall of Episodic Memories

    Science.gov (United States)

    Burke, John F.; Sharan, Ashwini D.; Sperling, Michael R.; Ramayya, Ashwin G.; Evans, James J.; Healey, M. Karl; Beck, Erin N.; Davis, Kathryn A.; Lucas, Timothy H.

    2014-01-01

    Humans possess the remarkable ability to search their memory, allowing specific past episodes to be re-experienced spontaneously. Here, we administered a free recall test to 114 neurosurgical patients and used intracranial theta and high-frequency activity (HFA) to identify the spatiotemporal pattern of neural activity underlying spontaneous episodic retrieval. We found that retrieval evolved in three electrophysiological stages composed of: (1) early theta oscillations in the right temporal cortex, (2) increased HFA in the left hemisphere including the medial temporal lobe (MTL), left inferior frontal gyrus, as well as the ventrolateral temporal cortex, and (3) motor/language activation during vocalization of the retrieved item. Of these responses, increased HFA in the left MTL predicted recall performance. These results suggest that spontaneous recall of verbal episodic memories involves a spatiotemporal pattern of spectral changes across the brain; however, high-frequency activity in the left MTL represents a final common pathway of episodic retrieval. PMID:25143616

  2. Preliminary analysis of variability in concentration of fine particulate matter - PM1.0, PM2.5 and PM10 in area of Poznań city

    Science.gov (United States)

    Sówka, Izabela; Chlebowska-Styś, Anna; Mathews, Barbara

    2018-01-01

    It is commonly known, that suspended particulate matter pose a threat to human life and health, negatively influence the flora, climate and also materials. Especially dangerous is the presence of high concentration of particulate matter in the area of cities, where density of population is high. The research aimed at determining the variability of suspended particulate matter concentration (PM1.0, PM2.5 and PM10) in two different thermal seasons, in the area of Poznań city. As a part of carried out work we analyzed the variability of concentrations and also performed a preliminary analysis of their correlation. Measured concentrations of particulate matter were contained within following ranges: PM10 - 8.7-69.6 μg/m3, PM2.5 - 2.2-88.5 μg/m3, PM1.0 - 2.5-22.9 μg/m3 in the winter season and 1.0-42.8 μg/m3 (PM10), 1.2-40.3 μg/m3 (PM2.5) and 2.7-10.4 (PM1.0) in the summer season. Preliminary correlative analysis indicated interdependence between the temperature of air, the speed of wind and concentration of particulate matter in selected measurement points. The values of correlation coefficients between the air temperature, speed of wind and concentrations of particulate matter were respectively equal to: for PM10: -0.59 and -0.55 (Jana Pawła II Street), -0.53 and -0.53 (Szymanowskiego Street), for PM2.5: -0.60 and -0.53 (Jana Pawła II Street) and for PM1.0 -0.40 and -0.59 (Jana Pawła II Street).

  3. LC-MS characterization of contemporary pesticides in PM10 of Valencia Region, Spain

    Science.gov (United States)

    Coscollà, Clara; Hart, Elizabeth; Pastor, Agustín; Yusà, Vicent

    2013-10-01

    Pesticides in the inhalable fraction of particulate matter (PM10) should be well tracked in order to contribute information to future exposure assessment in individuals of the general public. A total of 40 current-used pesticides and metabolites were searched for in ambient air samples collected from January through December 2010. The samples were taken from one remote, one urban and three rural sites in Valencia Region (Spain) and analyzed using liquid chromatography coupled to mass spectrometry in tandem (LC-MS/MS). In the PM10 fraction 17 pesticides and metabolites were detected overall, two of them currently banned (carbofuran and omethoate, although the latter is a metabolite of the permitted pesticide dimethoate). The detected pesticides appeared at frequencies ranging from 1 to 75%, with omethoate, terbuthylazine and its metabolites, and carbendazim presenting the highest frequencies. The concentrations detected ranged from few pg m-3 to thousands of pg m-3, with omethoate having the highest average concentration (141.15 pg m-3) in the 5 sites overall. Each station showed its own specific pesticide profile, which is linked to the different types of crops around each site. In the rural stations pesticide levels were greater in spring and early summer, which correlates with their application in agricultural practices. These findings suggest that more efforts are required to implement an extensive air monitoring network in Europe for pesticide control and to develop regulations or recommendations regarding safer pesticide levels in ambient air.

  4. A comparison of two classification based approaches for downscaling of monthly PM10 concentrations

    Science.gov (United States)

    Beck, Christoph; Weitnauer, Claudia; Jacobeit, Jucundus

    2013-04-01

    Circulation type classifications may be utilised for the downscaling of local climatic and environmental target variables in different methodological settings. In this contribution we apply and compare two different classification based approaches for downscaling of monthly indices of PM10 concentrations (monthly mean and number of days exceeding a certain threshold) at different stations in Bavaria (Germany) during the period 1979 to 2010. The first approach uses monthly frequencies of circulation types as predictors in multiple linear regression models (stepwise regression) to estimate monthly predictand values (monthly PM10 indices). The second approach utilizes type specific mean values of the target variable - determined for a calibration period - to estimate predictand values in the validation period. Both approaches are run using varying circulation classifications. This comprises different methodological concepts for circulation classification (e.g. threshold based methods, leader algorithms, cluster analysis) and as well different temporal (1-day or multiple day sequences) and spatial domains (synoptic to continental scale). All models are applied to multiple calibration and validation samples and different skill scores (e.g. reduction of variance, Pearson R) are estimated for each of the validation samples in order to quantify model performance. As main preliminary findings we may state that: - the regression based downscaling approach in most cases clearly outperforms the approach that uses type specific mean values (reference forecasting), - best skill is reached in winter (DJF) and spring (MAM), - comparable model skill is reached for the downscaling of monthly means and extremes indicators (number of days exceeding a certain threshold).

  5. Application of CALPUFF to PM10 emissions from beehive burners in British Columbia

    Energy Technology Data Exchange (ETDEWEB)

    Ciccone, A.D. [Jacques Whitford and Associates Limited, Vancouver, BC (Canada); Waddell, G. [Canadian Forest Products Ltd., Prince George, BC (Canada)

    2000-07-01

    The complex local topography of the Bulkley Valley in the British Columbia interior greatly influences the local meteorology and climatology. The communities of Smithers and Houston which are located in the valley are hosts to three mills which operate conical burners for waste disposal and which define the extent of airshed. The CALMET/CALPUFF modelling system was chosen as a means to evaluate the contribution of the burners to the local airshed. CALPUFF was chosen because of the combined conditions of complex terrain and low wind speed in the region. Since MM5 gridded meteorological data was available from the BC Ministry of Environment to initialize the wind fields for CALMET in 1995, modelling was conducted in that year. CALPUFF provided 24-hour PM10 ground level concentrations over a 54 km by 72 km range. This included monitoring stations in the airshed. The impact from the conical burners was found to be low compared to the monitoring data which was collected. However, it was determined that the model was able to describe hourly changes in ambient PM10 levels, which reflected the hourly monitoring station data. The region is now equipped with a modelling platform that can be used to help in air pollution source appointment as well as for the management general air quality.

  6. Characteristics, Sources and Health Risk Assessment of Trace Metals in PM10 in Panzhihua, China.

    Science.gov (United States)

    Cheng, Xin; Huang, Yi; Long, Zhijie; Ni, Shijun; Shi, Zeming; Zhang, Chengjiang

    2017-01-01

    Ambient PM10 air samples were collected at two industrial sites and one urban residential site in the mining city of Panzhihua, China, from April, 2014, to January, 2015. Mass concentrations of ten trace metals (As, Cd, Cr, Ni, Co, V, Mn, Cu, Pb, and Zn) in PM10 were determined by inductively coupled plasma-mass spectrometry. The results showed Zn, Pb, Cu, Mn and V were the most abundant elements from the industrial sites. Concentrations for Cd, Cr, Co, Ni, Mn and Cu at industrial sites greatly exceeded the air quality standards of the World Health Organization and the Chinese Ministry of Environmental Protection. Principal component analysis indicated that the main sources of the trace metals were steel smelting, fuel combustion, geological and mineral dust. Four different clusters of particles (i.e., mineral, calcium-containing, soot and aluminosilicate) were identified by scanning electron microscopy coupled with energy dispersive X-ray spectrometry. Chromium (Cr) was found to present the highest excess cancer risk, implying the potential for carcinogenic health effects in local inhabitants. Manganese (Mn) presented a non-carcinogenic health risk to children and adults, while the other metals were within acceptable limits.

  7. Particulate matter (PM 10 ) in Istanbul: Origin, source areas and potential impact on surrounding regions

    Science.gov (United States)

    Koçak, M.; Theodosi, C.; Zarmpas, P.; Im, U.; Bougiatioti, A.; Yenigun, O.; Mihalopoulos, N.

    2011-12-01

    Water-soluble ions (Cl -, NO3-, SO42-, CO4-, Na +, NH4+, K +, Mg 2+,Ca 2+), water soluble organic carbon (WSOC), organic and elemental carbon (OC, EC) and trace metals (Al, Ca, Ti, V, Cr, Mn, Fe, Ni, Cu, Zn, Cd and Pb) were measured in aerosol PM 10 samples above the megacity of Istanbul between November 2007 and June 2009. Source apportionment analysis using Positive Matrix Factorization (PMF) indicates that approximately 80% of the PM 10 is anthropogenic in origin (secondary, refuse incineration, fuel oil and solid fuel combustion and traffic). Crustal and sea salt account for 10.2 and 7.5% of the observed mass, respectively. In general, anthropogenic (except secondary) aerosol shows higher concentrations and contributions in winter. Mean concentration and contribution of crustal source is found to be more important during the transitional period due to mineral dust transport from North Africa. During the sampling period, 42 events exceeding the limit value of 50 μg m -3 are identified. A significant percentage (91%; n = 38) of these exceedances is attributed to anthropogenic sources. Potential Source Contribution Function analysis highlights that Istanbul is affected from distant sources from Balkans and Western Europe during winter and from Eastern Europe during summer. On the other hand, Istanbul sources influence western Black Sea and Eastern Europe during winter and Aegean and Levantine Sea during summer.

  8. US EPA Nonattainment Areas and Designations-PM10 (1987 NAAQS)

    Science.gov (United States)

    This web service contains the following layer: PM10 Nonattainment Areas (1987 NAAQS). Full FGDC metadata records for each layer may be found by clicking the layer name at the web service endpoint (https://gispub.epa.gov/arcgis/rest/services/OAR_OAQPS/NAA1987PM10/MapServer) and viewing the layer description. These layers identify areas in the U.S. where air pollution levels have not met the National Ambient Air Quality Standards (NAAQS) for criteria air pollutants and have been designated nonattainment?? areas (NAA). The data are updated weekly from an OAQPS internal database. However, that does not necessarily mean the data have changed. The EPA Office of Air Quality Planning and Standards (OAQPS) has set National Ambient Air Quality Standards for six principal pollutants, which are called criteria pollutants. Under provisions of the Clean Air Act, which is intended to improve the quality of the air we breathe, EPA is required to set National Ambient Air Quality Standards for six common air pollutants. These commonly found air pollutants (also known as criteria pollutants) are found all over the United States. They are particle pollution (often referred to as particulate matter), ground-level ozone, carbon monoxide, sulfur oxides, nitrogen oxides, and lead. For each criteria pollutant, there are specific procedures used for measuring ambient concentrations and for calculating long-term (quarterly or annual) and/or short-term (24-hour) exposure levels. The metho

  9. Carbonaceous species in PM2.5 and PM10 in urban area of Zhengzhou in China: Seasonal variations and source apportionment

    Science.gov (United States)

    Wang, Qun; Jiang, Nan; Yin, Shasha; Li, Xiao; Yu, Fei; Guo, Yue; Zhang, Ruiqin

    2017-07-01

    PM2.5 and PM10 samples were simultaneously collected in an urban site in Zhengzhou, China from October 2014 to July 2015 representing the four seasons. Organic carbon (OC), elemental carbon (EC), and non-polar organic compounds including n-alkanes (C8-C40) and polycyclic aromatic hydrocarbons (PAHs) were quantified. The characteristics of their concentrations, seasonal variations, and sources of n-alkanes and PAHs were investigated. Diagnostic ratios and positive matrix factorization (PMF) were used to characterize carbonaceous species, identify their possible sources, and apportion the contributions from each possible source. The concentrations of the components exhibited distinct seasonal variation, that is, the concentrations are high in winter and low in summer. This finding could be associated with increase in air pollutant emissions during heating season and stable weather condition. The estimated total carbonaceous aerosol accounts for 32% of PM2.5 and 30% of PM10. Hence, carbonaceous compounds were the major components of particulate matter in the study area. Moreover, OC, EC, PAHs, and n-alkanes preferentially accumulated into fine particles. The carbonaceous components exhibited high correlation in PM2.5 and PM10, thereby indicating that their sources were similar. The PMF results revealed that the main sources of PAHs were coal combustion (40%) and motor vehicles (29%); n-alkanes were mainly from burning of fossil fuel (48%). These sources were consistent with the diagnostic ratios obtained. This study provides guidance for improving air quality and reducing human exposure to toxic air pollutants.

  10. Determination of PM10 and its ion composition emitted from biomass burning in the chamber for estimation of open burning emissions.

    Science.gov (United States)

    Sillapapiromsuk, Sopittaporn; Chantara, Somporn; Tengjaroenkul, Urai; Prasitwattanaseree, Sukon; Prapamontol, Tippawan

    2013-11-01

    Biomass samples including agricultural waste (rice straw and maize residue) and forest leaf litter were collected from Chiang Mai Province, Thailand for the burning experiment in the self-designed stainless steel chamber to simulate the emissions of PM10. The burning of leaf litter emitted the highest PM10 (1.52±0.65 g kg(-1)). The PM10-bound ions emitted from the burning of rice straw and maize residue showed the same trend, which was K(+)>Cl(-)>SO4(2-)>NH4(+)>NO3(-). However, the emissions from maize residue burning were ~1.5-2.0 times higher than those from the rice straw burning. The ion content emitted from leaf litter burning was almost the same for all ion species. Noticeably, K(+) and Cl(-) concentrations were ~2-4 times lower than those emitted from agricultural waste burning. It can be deduced that K(+) and Cl(-) were highly emitted from agricultural waste burning due to the use of fertilizer and herbicides in the field, respectively. Based on emission values obtained from the chamber, the pollutant emission rate from open burning was calculated. Burned areas in Chiang Mai Province were 3510 and 866 km(2) in 2010 and 2011, respectively. Forest burning was 71-88%, while agricultural land burning accounted for 12-29% (rice field: crop field=1:3) of total burned area. Therefore, emissions of PM10 from open burning in Chiang Mai were 3051 ton (2010) and 705 ton (2011). Major ions emitted from agricultural waste burning were found to be K(+) and Cl(-), while those from forest burning were SO4(2-) and K(+). Copyright © 2013 Elsevier Ltd. All rights reserved.

  11. Evaluation for Long Term PM10 Concentration Forecasting using Multi Linear Regression (MLR and Principal Component Regression (PCR Models

    Directory of Open Access Journals (Sweden)

    Samsuri Abdullah

    2016-07-01

    Full Text Available Air pollution in Peninsular Malaysia is dominated by particulate matter which is demonstrated by having the highest Air Pollution Index (API value compared to the other pollutants at most part of the country. Particulate Matter (PM10 forecasting models development is crucial because it allows the authority and citizens of a community to take necessary actions to limit their exposure to harmful levels of particulates pollution and implement protection measures to significantly improve air quality on designated locations. This study aims in improving the ability of MLR using PCs inputs for PM10 concentrations forecasting. Daily observations for PM10 in Kuala Terengganu, Malaysia from January 2003 till December 2011 were utilized to forecast PM10 concentration levels. MLR and PCR (using PCs input models were developed and the performance was evaluated using RMSE, NAE and IA. Results revealed that PCR performed better than MLR due to the implementation of PCA which reduce intricacy and eliminate data multi-collinearity.

  12. Burden of mortality and years of life lost due to ambient PM10pollution in Wuhan, China.

    Science.gov (United States)

    Zhang, Yunquan; Peng, Minjin; Yu, Chuanhua; Zhang, Lan

    2017-11-01

    Ambient particulate matter (PM) has been mainly linked with mortality and morbidity when assessing PM-associated health effects. Up-to-date epidemiologic evidence is very sparse regarding the relation between PM and years of life lost (YLL). The present study aimed to estimate the burden of YLL and mortality due to ambient PM pollution. Individual records of all registered deaths and daily data on PM 10 and meteorology during 2009-2012 were obtained in Wuhan, central China. Using a time-series study design, we applied generalized additive model to assess the short-term association of 10-μg/m 3 increase in PM 10 with daily YLL and mortality, adjusting for long-term trend and seasonality, mean temperature, relative humidity, public holiday, and day of the week. A linear-no-threshold dose-response association was observed between daily ambient PM 10 and mortality outcomes. PM 10 pollution along lag 0-1 days was found to be mostly strongly associated with mortality and YLL. The effects of PM 10 on cause-specific mortality and YLL showed generally similar seasonal patterns, with stronger associations consistently occurring in winter and/or autumn. Compared with males and younger persons, females and the elderly suffered more significantly from both increased YLL and mortality due to ambient PM 10 pollution. Stratified analyses by education level (0-6 and 7 + years) demonstrated great mortality impact on both subgroups, whereas only low-educated persons were strongly affected by PM 10 -associated burden of YLL. Our study confirmed that short-term PM 10 exposure was linearly associated with significant increases in both mortality incidence and years of life lost. Given the non-threshold adverse effects on mortality burden, the on-going efforts to reduce particulate air pollution would substantially benefit public health in China. Copyright © 2017 Elsevier Ltd. All rights reserved.

  13. Effect of Exposure to PM10 on Cardiovascular Diseases Hospitalizations in Ahvaz, Khorramabad and Ilam, Iran During 2014

    Directory of Open Access Journals (Sweden)

    Seyed Mohammad Daryanoosh

    2016-01-01

    Full Text Available Particulate matter with an aerodynamic diameter less than or equal to 10μm (PM10 has the great adverse endpoints on human health. The aim of this study was to assess the hospital admissions (HA due to cardiovascular diseases (CVD attributed to PM10 among people living in the cities of Ahvaz, Khorramabad and Ilam, during 2014. In this study, Air Quality Health Impact Assessment (AirQ2.2.3 software proposed by the World Health Organization (WHO to assess of health impacts of atmospheric pollutants was used. To evaluate human exposure and health outcome of PM10, 24-hour data was taken from the Departments of Environment of Ahvaz, Khorramabad and Ilam. We acquired an input file for the software from raw data and quantified PM10 by the AirQ2.2.3 model. The annual averages in three study areas illustrated that PM10 concentration in Ahvaz and Ilam with values of 534.77 and 60.45μg/m3, were the highest and lowest in 2014, respectively. The number of excess cases for HA due to CVD in Ahvaz, Khorramabad, and Ilam was estimated 508, 144 and 66 persons, respectively. The most percentage of person-days was attributable to the concentration interval of 130-139µg/m3 of PM10, whereas this was for Khorramabad and Ilam 60-69 and 40-49µg/m3, respectively. The comparison of PM10 concentrations with NAAQS standard was revealed the annual average of particulate matter concentrations in Ahvaz was higher than standard. Therefore, the efforts should be conducted in the governmental scale to prevent pollution and reduce PM10 emission from various sources, such as transport and industries and also control dust entering the country by spreading mulch and development of green space.

  14. Re-entrained road dust PM10 emission from selected streets of Krakow and its impact on air quality

    Science.gov (United States)

    Bogacki, Marek; Mazur, Marian; Oleniacz, Robert; Rzeszutek, Mateusz; Szulecka, Adriana

    2018-01-01

    Scientific research studies conducted in various parts of the world confirm that PM10 concentrations in urban air depend to a great extent on the resuspension processes of the dust deposited on the road surface. The paper presents the results of the study related to the determination of the re-entrained PM10 emissions from four selected streets of Krakow (Southern Poland) together with the assessment of its impact on air quality. Examined streets are characterised by different traffic intensity (from 500 to over 20 000 vehicles per day) and individual vehicle structure. Dust material sampling and estimation of the PM10 emission were conducted according to the U.S. EPA methodology (AP 42 Fifth Edition). Two variants of sample collection were applied: from the road surface including the area at the curb (4 streets) and from the road surface alone (1 street). The estimates of resuspended road dust emission as well as the reference values derived from the U.S. EPA guidelines were used to assess the impact of this emission on the PM10 levels in the air at the location of one of the analysed streets. This assessment was conducted using the CALINE4 mathematical model. The study showed that the PM10 emissions from the re-entrained road dust can be responsible for up to 25 % in the winter and 50 % in the summer of the total PM10 concentrations in the air near the roads.

  15. Re-entrained road dust PM10 emission from selected streets of Krakow and its impact on air quality

    Directory of Open Access Journals (Sweden)

    Bogacki Marek

    2018-01-01

    Full Text Available Scientific research studies conducted in various parts of the world confirm that PM10 concentrations in urban air depend to a great extent on the resuspension processes of the dust deposited on the road surface. The paper presents the results of the study related to the determination of the re-entrained PM10 emissions from four selected streets of Krakow (Southern Poland together with the assessment of its impact on air quality. Examined streets are characterised by different traffic intensity (from 500 to over 20 000 vehicles per day and individual vehicle structure. Dust material sampling and estimation of the PM10 emission were conducted according to the U.S. EPA methodology (AP 42 Fifth Edition. Two variants of sample collection were applied: from the road surface including the area at the curb (4 streets and from the road surface alone (1 street. The estimates of resuspended road dust emission as well as the reference values derived from the U.S. EPA guidelines were used to assess the impact of this emission on the PM10 levels in the air at the location of one of the analysed streets. This assessment was conducted using the CALINE4 mathematical model. The study showed that the PM10 emissions from the re-entrained road dust can be responsible for up to 25 % in the winter and 50 % in the summer of the total PM10 concentrations in the air near the roads.

  16. External drive to inhibitory cells induces alternating episodes of high- and low-amplitude oscillations.

    Directory of Open Access Journals (Sweden)

    Oscar J Avella Gonzalez

    Full Text Available Electrical oscillations in neuronal network activity are ubiquitous in the brain and have been associated with cognition and behavior. Intriguingly, the amplitude of ongoing oscillations, such as measured in EEG recordings, fluctuates irregularly, with episodes of high amplitude alternating with episodes of low amplitude. Despite the widespread occurrence of amplitude fluctuations in many frequency bands and brain regions, the mechanisms by which they are generated are poorly understood. Here, we show that irregular transitions between sub-second episodes of high- and low-amplitude oscillations in the alpha/beta frequency band occur in a generic neuronal network model consisting of interconnected inhibitory and excitatory cells that are externally driven by sustained cholinergic input and trains of action potentials that activate excitatory synapses. In the model, we identify the action potential drive onto inhibitory cells, which represents input from other brain areas and is shown to desynchronize network activity, to be crucial for the emergence of amplitude fluctuations. We show that the duration distributions of high-amplitude episodes in the model match those observed in rat prefrontal cortex for oscillations induced by the cholinergic agonist carbachol. Furthermore, the mean duration of high-amplitude episodes varies in a bell-shaped manner with carbachol concentration, just as in mouse hippocampus. Our results suggest that amplitude fluctuations are a general property of oscillatory neuronal networks that can arise through background input from areas external to the network.

  17. Extended nonlinear feedback model for describing episodes of high inflation

    Science.gov (United States)

    Szybisz, Martín A.; Szybisz, Leszek

    2017-01-01

    An extension of the nonlinear feedback (NLF) formalism to describe regimes of hyper- and high-inflation in economy is proposed in the present work. In the NLF model the consumer price index (CPI) exhibits a finite time singularity of the type 1 /(tc - t) (1 - β) / β, with β > 0, predicting a blow up of the economy at a critical time tc. However, this model fails in determining tc in the case of weak hyperinflation regimes like, e.g., that occurred in Israel. To overcome this trouble, the NLF model is extended by introducing a parameter γ, which multiplies all terms with past growth rate index (GRI). In this novel approach the solution for CPI is also analytic being proportional to the Gaussian hypergeometric function 2F1(1 / β , 1 / β , 1 + 1 / β ; z) , where z is a function of β, γ, and tc. For z → 1 this hypergeometric function diverges leading to a finite time singularity, from which a value of tc can be determined. This singularity is also present in GRI. It is shown that the interplay between parameters β and γ may produce phenomena of multiple equilibria. An analysis of the severe hyperinflation occurred in Hungary proves that the novel model is robust. When this model is used for examining data of Israel a reasonable tc is got. High-inflation regimes in Mexico and Iceland, which exhibit weaker inflations than that of Israel, are also successfully described.

  18. The behaviour of PM10 and ozone in Malaysia through non-linear dynamical systems

    Science.gov (United States)

    Sapini, Muhamad Luqman; Rahim, Nurul Zahirah binti Abd; Noorani, Mohd Salmi Md.

    2015-10-01

    Prediction of ozone (O3) and PM10 is very important as both these air pollutants affect human health, human activities and more. Short-term forecasting of air quality is needed as preventive measures and effective action can be taken. Therefore, if it is detected that the ozone data is of a chaotic dynamical systems, a model using the nonlinear dynamic from chaos theory data can be made and thus forecasts for the short term would be more accurate. This study uses two methods, namely the 0-1 Test and Lyapunov Exponent. In addition, the effect of noise reduction on the analysis of time series data will be seen by using two smoothing methods: Rectangular methods and Triangle methods. At the end of the study, recommendations were made to get better results in the future.

  19. Contribution of mineral dust sources to street side ambient and suspension PM10 samples

    Science.gov (United States)

    Kupiainen, Kaarle; Ritola, Roosa; Stojiljkovic, Ana; Pirjola, Liisa; Malinen, Aleksi; Niemi, Jarkko

    2016-12-01

    The aim of this study was to determine the relative contributions of mineral dust sources, particularly pavement wear and traction sanding in the PM10 samples collected from 1) street side ambient air and 2) street dust suspension emission samples. The study was conducted between autumn 2011 and spring 2012 at Suurmetsäntie in Helsinki, Finland. The results showed that dust from pavement aggregates was the largest source during spring, accounting for 40-50 percent of the particulate matter in the air and suspension samples. Based on studies on formation of dust, major source of the dust from pavement aggregates is the wear by studded tyres. Traction sanding (1-5.6 mm wet sieved crushed stone) and road salting (NaCl) were applied frequently during the winter 2011/2012. Sanding material explained about 25 percent of the street dust in the air and suspension samples. Traction sanding is estimated to account for approximately few percent of the pavement dust via "the sandpaper effect". Effect of road salt was few percent in the samples. The source contributions from pavement and traction sanding observed in spring 2012 at Suurmetsäntie are similar to what has been estimated in a previous study conducted in the early 2000s in Finland. The general perception in Finland has been that traction sanding is the main source of airborne street dust. Studies conducted in 2000s and the results of this study, however, indicate that traction sanding has been an important but not the main source of dust in PM10 even in winters with extensive use of sanding for traction control.

  20. BME estimation of residential exposure to ambient PM10 and ozone at multiple time scales.

    Science.gov (United States)

    Yu, Hwa-Lung; Chen, Jiu-Chiuan; Christakos, George; Jerrett, Michael

    2009-04-01

    Long-term human exposure to ambient pollutants can be an important contributing or etiologic factor of many chronic diseases. Spatiotemporal estimation (mapping) of long-term exposure at residential areas based on field observations recorded in the U.S. Environmental Protection Agency's Air Quality System often suffer from missing data issues due to the scarce monitoring network across space and the inconsistent recording periods at different monitors. We developed and compared two upscaling methods: UM1 (data aggregation followed by exposure estimation) and UM2 (exposure estimation followed by data aggregation) for the long-term PM10 (particulate matter with aerodynamic diameter estimations and applied them in multiple time scales to estimate PM and ozone exposures for the residential areas of the Health Effects of Air Pollution on Lupus (HEAPL) study. We used Bayesian maximum entropy (BME) analysis for the two upscaling methods. We performed spatiotemporal cross-validations at multiple time scales by UM1 and UM2 to assess the estimation accuracy across space and time. Compared with the kriging method, the integration of soft information by the BME method can effectively increase the estimation accuracy for both pollutants. The spatiotemporal distributions of estimation errors from UM1 and UM2 were similar. The cross-validation results indicated that UM2 is generally better than UM1 in exposure estimations at multiple time scales in terms of predictive accuracy and lack of bias. For yearly PM10 estimations, both approaches have comparable performance, but the implementation of UM1 is associated with much lower computation burden. BME-based upscaling methods UM1 and UM2 can assimilate core and site-specific knowledge bases of different formats for long-term exposure estimation. This study shows that UM1 can perform reasonably well when the aggregation process does not alter the spatiotemporal structure of the original data set; otherwise, UM2 is preferable.

  1. Data preparation for functional data analysis of PM10 in Peninsular Malaysia

    Science.gov (United States)

    Shaadan, Norshahida; Jemain, Abdul Aziz; Deni, Sayang Mohd

    2014-07-01

    The use of curves or functional data in the study analysis is increasingly gaining momentum in the various fields of research. The statistical method to analyze such data is known as functional data analysis (FDA). The first step in FDA is to convert the observed data points which are repeatedly recorded over a period of time or space into either a rough (raw) or smooth curve. In the case of the smooth curve, basis functions expansion is one of the methods used for the data conversion. The data can be converted into a smooth curve either by using the regression smoothing or roughness penalty smoothing approach. By using the regression smoothing approach, the degree of curve's smoothness is very dependent on k number of basis functions; meanwhile for the roughness penalty approach, the smoothness is dependent on a roughness coefficient given by parameter λ Based on previous studies, researchers often used the rather time-consuming trial and error or cross validation method to estimate the appropriate number of basis functions. Thus, this paper proposes a statistical procedure to construct functional data or curves for the hourly and daily recorded data. The Bayesian Information Criteria is used to determine the number of basis functions while the Generalized Cross Validation criteria is used to identify the parameter λ The proposed procedure is then applied on a ten year (2001-2010) period of PM10 data from 30 air quality monitoring stations that are located in Peninsular Malaysia. It was found that the number of basis functions required for the construction of the PM10 daily curve in Peninsular Malaysia was in the interval of between 14 and 20 with an average value of 17; the first percentile is 15 and the third percentile is 19. Meanwhile the initial value of the roughness coefficient was in the interval of between 10-5 and 10-7 and the mode was 10-6. An example of the functional descriptive analysis is also shown.

  2. The Effect of PM 10 on Ischemia- Reperfusion Induced Arrhythmias in Rats

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    Esmat Radmanesh

    Full Text Available ABSTRACT Epidemiological studies show that particulate matter (PM is the principal instigator of some adverse clinical symptoms involving cardiovascular diseases. PM exposure can increase experimental infarct size and potentiate myocardial ischemia and arrhythmias in experimental MI models such as ischemia-reperfusion (I/R injury.The present study was aimed to evaluate the effects of particulate matter (PM10 on ischemia- reperfusion induced arrhythmias with emphasis on the protective role of VA as an antioxidant on them. Male Wistar rats were divided into 8 groups (n=10: Control, VAc, Sham, VA, PM1 (0.5 mg/kg, PM2 (2.5 mg/kg, PM3 group (5 mg/kg, PM3 + VA group. Within 48 hours, PM10 was instilled into trachea in two stages. Then the hearts were isolated, transferred to a Langendorff apparatus, and subjected to global ischemia (30 minutes followed by reperfusion (60 minutes. The ischemia- reperfusion induced ventricular arrhythmias were assessed according to the Lambeth conventions.In the present study,the number, incidence and duration of arrhythmiasduring30 minutes ischemia were demonstrated to be more than those in the reperfusion stage. PM exposure increased significantly the number, incidence and duration of arrhythmias in the ischemia and reperfusion duration. Vanillic acid reduced significantly the number, incidence and duration of arrhythmias during the ischemia and reperfusion period.In summary, the results of this study demonstrated that the protective and dysrhythmic effects of VA in the PM exposure rats in I/R model are probably related to its antioxidant properties.

  3. High ozone episodes at a semi-urban site in India: Photochemical generation and transport

    Science.gov (United States)

    Verma, Nidhi; Lakhani, Anita; Maharaj Kumari, K.

    2017-11-01

    The present study focused on investigating the possible atmospheric conditions influencing the high ozone episodes over a semi-urban site (27.16° N, 78.08° E) in Agra, India during July 2014-June 2016. During the study period, average concentration of ozone was 32.3 ± 22.7 ppb, and concentrations of its precursors viz carbon monoxide (CO), nitrogen oxide (NO) and total nitrogen oxides (NOx*) were 527.3 ± 482.7 ppb, 6.5 ± 8.2 ppb, and 12.1 ± 7.8 ppb, respectively. The maximum monthly average ozone concentration was observed in June (48.2 ± 31.0 ppb) and it was nearly three times higher than the minimum levels observed in December (16.7 ± 10.5 ppb). Considering high ozone episodes, 78 days exceed hourly ozone limit of 90 ppb specified by National Air Quality Standards (NAAQS, CPCB, 2009) for India while 75 days exceed the daily maximum 8 hourly ozone limit of 70 ppb or above (NAAQS, EPA, 2015). Trajstat model was used for air-mass cluster analysis during episodic days; five clusters of air-masses were identified and among them, the cluster from northwest direction had the maximum frequency (35.4%). During the study period, four different types of high ozone episodes were identified and explained using prevailing meteorology. The episodes were attributed to local photochemistry and/or transport.

  4. Estimating the influence of different urban canopy cover types on atmospheric particulate matter (PM10) pollution abatement in London UK.

    Science.gov (United States)

    Tallis, Matthew; Freer-Smith, Peter; Sinnett, Danielle; Aylott, Matthew; Taylor, Gail

    2010-05-01

    In the urban environment atmospheric pollution by PM10 (particulate matter with a diameter less than 10 x 10-6 m) is a problem that can have adverse effects on human health, particularly increasing rates of respiratory disease. The main contributors to atmospheric PM10 in the urban environment are road traffic, industry and power production. The urban tree canopy is a receptor for removing PM10s from the atmosphere due to the large surface areas generated by leaves and air turbulence created by the structure of the urban forest. In this context urban greening has long been known as a mechanism to contribute towards PM10 removal from the air, furthermore, tree canopy cover has a role in contributing towards a more sustainable urban environment. The work reported here has been carried out within the BRIDGE project (SustainaBle uRban plannIng Decision support accountinG for urban mEtabolism). The aim of this project is to assess the fluxes of energy, water, carbon dioxide and particulates within the urban environment and develope a DSS (Decision Support System) to aid urban planners in sustainable development. A combination of published urban canopy cover data from ground, airborne and satellite based surveys was used. For each of the 33 London boroughs the urban canopy was classified to three groups, urban woodland, street trees and garden trees and each group quantified in terms of ground cover. The total [PM10] for each borough was taken from the LAEI (London Atmospheric Emissions Inventory 2006) and the contribution to reducing [PM10] was assessed for each canopy type. Deposition to the urban canopy was assessed using the UFORE (Urban Forest Effects Model) approach. Deposition to the canopy, boundary layer height and percentage reduction of the [PM10] in the atmosphere was assessed using both hourly meterological data and [PM10] and seasonal data derived from annual models. Results from hourly and annual data were compared with measured values. The model was then

  5. Source apportionment of elevated BaP concentrations in PM10 aerosols in an alpine valley in Austria

    Science.gov (United States)

    Bauer, Heidi; Puxbaum, Hans; Jankowski, Nicole; Sampaio Cordeiro Wagner, Lylian

    2010-05-01

    INTRODUCTION: In a village situated at 1215 m a.s.l. in a natural preserve in an Austrian alpine valley elevated BaP concentrations have been measured in the last years. A highly frequented highway leading from Italy to Germany passes near the village. Monthly means of particulate BaP concentrations show a clear seasonal trend with values below 1 ng/m³ during the warmer months and with concentrations up to 9 ng/m³ in the cold season. Annual averages in the years 2000 - 2005 ranged between 1.4 and 2.8 ng/m³ - much higher than the EU target value of 1 ng/m³. We used a macrotracer model developed at the Vienna University of Technology to determine the contributions of the sources for BaP emissions, which were mainly space heating with wood and traffic from the highway. EXPERIMENTAL: The macrotracer concept is a nine component model to derive source contribution and explains 80-100% of PM10 aerosols in Austria. The amount of traffic exhaust is derived by using EC as tracer, whereas EC produced by wood burning is subtracted, the amount of wood smoke is derived by the anhydro-sugar levoglucosan and the ratio between the anhydro-sugars levoglucosan and mannosan. For the source apportionment of BaP the applied factors reflect on the one hand the composition of the automotive fleet in Austria and on the other hand the composition of the fire wood in the region. Filter samples collected with a high volume sampler in winter were analyzed for PM10 aerosol mass, total, organic, elemental and carbonate carbon, HULIS, anhydro-sugars, polyols and ions (major ions and organic acids) and PAHs. In the same way emission samples taken at a motor test stand and at a test stand for wood combustion were analyzed (Schmidl et al. 2008). The saccharides were determined using high pH anion exchange and pulsed amperometry (HPAE-PAD). Details of the analytical method are given in Iinuma et al., 2009. Elemental and organic carbon were determined with a thermal-optical instrument (Sunset lab

  6. Assessment of population exposure to PM10 for respiratory disease in Lanzhou (China) and its health-related economic costs based on GIS

    OpenAIRE

    Sun, Zhaobin; An, Xingqin; Tao, Yan; Hou, Qing

    2013-01-01

    Background Evaluation of the adverse health effects of PM10 pollution (particulate matter less than 10 microns in diameter) is very important for protecting human health and establishing pollution control policy. Population exposure estimation is the first step in formulating exposure data for quantitative assessment of harmful PM10 pollution. Methods In this paper, we estimate PM10 concentration using a spatial interpolation method on a grid with a spatial resolution 0.01? ? 0.01?. PM10 conc...

  7. Trends and variability of atmospheric PM2.5 and PM10-2.5 concentration in the Po Valley, Italy

    Science.gov (United States)

    Bigi, Alessandro; Ghermandi, Grazia

    2016-12-01

    The Po Valley is one of the largest European regions with a remarkably high concentration level of atmospheric pollutants, both for particulate and gaseous compounds. In the last decade stringent regulations on air quality standards and on anthropogenic emissions have been set by the European Commission, including also for PM2.5 and its main components since 2008. These regulations have led to an overall improvement in air quality across Europe, including the Po Valley and specifically PM10, as shown in a previous study by Bigi and Ghermandi (2014). In order to assess the trend and variability in PM2.5 in the Po Valley and its role in the decrease in PM10, we analysed daily gravimetric equivalent concentration of PM2.5 and of PM10-2.5 at 44 and 15 sites respectively across the Po Valley. The duration of the times series investigated in this work ranges from 7 to 10 years. For both PM sizes, the trend in deseasonalized monthly means, annual quantiles and in monthly frequency distribution was estimated: this showed a significant decreasing trend at several sites for both size fractions and mostly occurring in winter. All series were tested for a significant weekly periodicity (a proxy to estimate the impact of primary anthropogenic emissions), yielding positive results for summer PM2.5 and for summer and winter PM10-2.5. Hierarchical cluster analysis showed moderate variability in PM2.5 across the valley, with two to three main clusters, dividing the area in western, eastern and southern/Apennines foothill sectors. The trend in atmospheric concentration was compared with the time series of local emissions, vehicular fleet details and fuel sales, suggesting that the decrease in PM2.5 and in PM10 originates from a drop both in primary and in precursors of secondary inorganic aerosol emissions, largely ascribed to vehicular traffic. Potentially, the increase in biomass burning emissions in winter and the modest decrease in NH3 weaken an otherwise even larger drop in

  8. AIRUSE-LIFE +: estimation of natural source contributions to urban ambient air PM10 and PM2. 5 concentrations in southern Europe - implications to compliance with limit values

    Science.gov (United States)

    Diapouli, Evangelia; Manousakas, Manousos I.; Vratolis, Stergios; Vasilatou, Vasiliki; Pateraki, Stella; Bairachtari, Kyriaki A.; Querol, Xavier; Amato, Fulvio; Alastuey, Andrés; Karanasiou, Angeliki A.; Lucarelli, Franco; Nava, Silvia; Calzolai, Giulia; Gianelle, Vorne L.; Colombi, Cristina; Alves, Célia; Custódio, Danilo; Pio, Casimiro; Spyrou, Christos; Kallos, George B.; Eleftheriadis, Konstantinos

    2017-03-01

    The contribution of natural sources to ambient air particulate matter (PM) concentrations is often not considered; however, it may be significant for certain areas and during specific periods of the year. In the framework of the AIRUSE-LIFE+ project, state-of-the-art methods have been employed for assessing the contribution of major natural sources (African dust, sea salt and forest fires) to PM concentrations, in southern European urban areas. 24 h measurements of PM10 and PM2. 5 mass and chemical composition were performed over the course of a year in five cities: Porto, Barcelona, Milan, Florence and Athens. Net African dust and sea-salt concentrations were calculated based on the methodologies proposed by the EC (SEC 2011/208). The contribution of uncontrolled forest fires was calculated through receptor modelling. Sensitivity analysis with respect to the calculation of African dust was also performed, in order to identify major parameters affecting the estimated net dust concentrations. African dust contribution to PM concentrations was more pronounced in the eastern Mediterranean, with the mean annual relative contribution to PM10 decreasing from 21 % in Athens, to 5 % in Florence, and around 2 % in Milan, Barcelona and Porto. The respective contribution to PM2. 5 was calculated equal to 14 % in Athens and from 1.3 to 2.4 % in all other cities. High seasonal variability of contributions was observed, with dust transport events occurring at different periods in the western and eastern Mediterranean basin. Sea salt was mostly related to the coarse mode and also exhibited significant seasonal variability. Sea-salt concentrations were highest in Porto, with average relative contributions equal to 12.3 % for PM10. Contributions from uncontrolled forest fires were quantified only for Porto and were low on an annual basis (1.4 and 1.9 % to PM10 and PM2. 5, respectively); nevertheless, contributions were greatly increased during events, reaching 20 and 22 % of 24 h

  9. Spatial navigation impairments among intellectually high-functioning adults with autism spectrum disorder: exploring relations with theory of mind, episodic memory, and episodic future thinking.

    Science.gov (United States)

    Lind, Sophie E; Williams, David M; Raber, Jacob; Peel, Anna; Bowler, Dermot M

    2013-11-01

    Research suggests that spatial navigation relies on the same neural network as episodic memory, episodic future thinking, and theory of mind (ToM). Such findings have stimulated theories (e.g., the scene construction and self-projection hypotheses) concerning possible common underlying cognitive capacities. Consistent with such theories, autism spectrum disorder (ASD) is characterized by concurrent impairments in episodic memory, episodic future thinking, and ToM. However, it is currently unclear whether spatial navigation is also impaired. Hence, ASD provides a test case for the scene construction and self-projection theories. The study of spatial navigation in ASD also provides a test of the extreme male brain theory of ASD, which predicts intact or superior navigation (purportedly a systemizing skill) performance among individuals with ASD. Thus, the aim of the current study was to establish whether spatial navigation in ASD is impaired, intact, or superior. Twenty-seven intellectually high-functioning adults with ASD and 28 sex-, age-, and IQ-matched neurotypical comparison adults completed the memory island virtual navigation task. Tests of episodic memory, episodic future thinking, and ToM were also completed. Participants with ASD showed significantly diminished performance on the memory island task, and performance was positively related to ToM and episodic memory, but not episodic future thinking. These results suggest that (contra the extreme male brain theory) individuals with ASD have impaired survey-based navigation skills--that is, difficulties generating cognitive maps of the environment--and adds weight to the idea that scene construction/self-projection are impaired in ASD. The theoretical and clinical implications of these results are discussed. PsycINFO Database Record (c) 2013 APA, all rights reserved.

  10. Meteo-climatic conditions influence the contribution of endotoxins to PM10 in an urban polluted environment.

    Science.gov (United States)

    Traversi, D; Alessandria, L; Schilirò, T; Chiadò Piat, S; Gilli, G

    2010-02-01

    A decrease in inhalable particulate matter (PM10) pollution is a top priority in urban areas of northern Italy. The sources of PM10 are both anthropogenic and natural. The former have been broadly investigated while the latter are less well known. Endotoxins are natural compounds of PM10 and are potentially toxic. Endotoxins are part of the outer membrane of Gram-negative bacteria. Their health effects are linked to environmental exposure. The effects mainly consist of respiratory symptoms, including pulmonary function decline. The occurrence of endotoxins has been proven in several occupational environments where organic materials supply an optimal substrate for bacteria growth. Knowledge about the presence of these contaminants in the environment is limited. The aim of this work is to evaluate the endotoxin levels of PM10 in the urban air of Turin, and to investigate the influence of seasonal and meteo-climatic factors. The sampling was conducted from January to December 2007. Endotoxin determination was performed by an LAL assay after extraction optimization. The PM10 levels ranged from 11.90 to 104.74 microg/m(3) (48.28 +/- 23.09) while the endotoxin levels ranged between 0.09 and 0.94 EU/m(3) (0.42 +/- 0.23). The seasonal trends of PM10 and endotoxin are inversely proportional. There is a statistically significant correlation between endotoxin and temperature (r = 0.532 p endotoxin and relative humidity (r = -0.457 p endotoxin concentrations are narrow in range and that the contribution of endotoxins to the total PM10 is only two millionths.

  11. Association between PM10 concentrations and school absences in proximity of a cement plant in northern Italy.

    Science.gov (United States)

    Marcon, Alessandro; Pesce, Giancarlo; Girardi, Paolo; Marchetti, Pierpaolo; Blengio, Gianstefano; de Zolt Sappadina, Simona; Falcone, Salvatore; Frapporti, Guglielmo; Predicatori, Francesca; de Marco, Roberto

    2014-03-01

    Dusts are one of the main air pollutants emitted during cement manufacturing. A substantial part of these are breathable particles that are less than 10 μm in diameter (PM10), which represent a potential threat for the health of the exposed population. This study aimed at evaluating the short-term effects of PM10 concentrations on the health of children, aged 6-14 years, who attended the schools in Fumane (Italy), in proximity (1.2 km) to a large cement plant. School absenteeism was used as a proxy indicator of child morbidity. Time series of daily school absences and PM10 concentrations were collected for 3 school-years from 2007 to 2010 (541 school-days, 462 children on average). The associations between PM10 concentrations and school absence rates in the same day (lag0) and in the following 4 days (lag1 to lag4) were evaluated using generalised additive models, smoothed for medium/long term trends and adjusted for day of the week, influenza outbreaks, daily temperature and rain precipitations. The average concentration of PM10 in the period was 34 (range: 4-183) μg/m(3). An average 10 μg/m(3) increase of PM10 concentration in the previous days (lag0-4) was associated with a statistically significant 2.5% (95%CI: 1.1-4.0%) increase in the rate of school absences. The highest increase in the absence rates (2.4%; 95%CI: 1.2-3.5%) was found 2 days after exposure (lag2). These findings provide epidemiological evidence of the acute health effects of PM10 in areas with annual concentrations that are lower than the legal European Union limit of 40 μg/m(3), and support the need to establish more restrictive legislative standards. Copyright © 2013 Elsevier GmbH. All rights reserved.

  12. Estimation of students' exposure to metal concentrations from river-dust episodes during 1994-2012.

    Science.gov (United States)

    Yang, Hao-Jan; Chen, Szu-Chieh; Hu, Chiung-Wen; Chiang, Yi-Chen; Tsai, Ching-Tsan; Lin, Pin-Yu; Lai, Dian-Jheng; Kuo, Chung-Yih

    2017-02-01

    Two elementary schools (Shiuguang and Fongrong) from Yulin County in Taiwan, near a main area of potential exposure to Aeolian river-dust, were selected to collect outdoor and indoor PM10 aerosols and to measure five metals in PM10 (As, Ni, Cr, Cd, and Mn). Significant relationships (p PM10 concentrations at Lunbei's air quality monitoring station and the two elementary schools. The outdoor PM10 concentrations at the monitoring station and the schools' indoor PM10 concentrations also showed significant correlations. This study also established a relationship between the outdoor and indoor concentrations of PM10 and metals in the schools. Estimations were made regarding students' 8 h of exposure to metal concentrations from river-dust episodes during 1994-2012, based on correlation equations that were shown to be statistically significant.

  13. First Results of the “Carbonaceous Aerosol in Rome and Environs (CARE” Experiment: Beyond Current Standards for PM10

    Directory of Open Access Journals (Sweden)

    Francesca Costabile

    2017-12-01

    Full Text Available In February 2017 the “Carbonaceous Aerosol in Rome and Environs (CARE” experiment was carried out in downtown Rome to address the following specific questions: what is the color, size, composition, and toxicity of the carbonaceous aerosol in the Mediterranean urban background area of Rome? The motivation of this experiment is the lack of understanding of what aerosol types are responsible for the severe risks to human health posed by particulate matter (PM pollution, and how carbonaceous aerosols influence radiative balance. Physicochemical properties of the carbonaceous aerosol were characterised, and relevant toxicological variables assessed. The aerosol characterisation includes: (i measurements with high time resolution (min to 1–2 h at a fixed location of black carbon (eBC, elemental carbon (EC, organic carbon (OC, particle number size distribution (0.008–10 μ m, major non refractory PM1 components, elemental composition, wavelength-dependent optical properties, and atmospheric turbulence; (ii 24-h measurements of PM10 and PM2.5 mass concentration, water soluble OC and brown carbon (BrC, and levoglucosan; (iii mobile measurements of eBC and size distribution around the study area, with computational fluid dynamics modeling; (iv characterisation of road dust emissions and their EC and OC content. The toxicological assessment includes: (i preliminary evaluation of the potential impact of ultrafine particles on lung epithelia cells (cultured at the air liquid interface and directly exposed to particles; (ii assessment of the oxidative stress induced by carbonaceous aerosols; (iii assessment of particle size dependent number doses deposited in different regions of the human body; (iv PAHs biomonitoring (from the participants into the mobile measurements. The first experimental results of the CARE experiment are presented in this paper. The objective here is to provide baseline levels of carbonaceous aerosols for Rome, and to address

  14. PM10 mass concentration, chemical composition, and sources in the typical coal-dominated industrial city of Pingdingshan, China.

    Science.gov (United States)

    Song, Xiaoyan; Yang, Shushen; Shao, Longyi; Fan, Jingsen; Liu, Yanfei

    2016-11-15

    The atmospheric pollution created by coal-dominated industrial cities in China cannot be neglected. This study focuses on the atmospheric PM10 in the typical industrial city of Pingdingshan City in North China. A total of 44 PM10 samples were collected from three different sites (power plant, mining area, and roadside) in Pingdingshan City during the winter of 2013, and were analyzed gravimetrically and chemically. The Pingdingshan PM10 samples were composed of mineral matter (average of 118.0±58.6μg/m(3), 20.6% of the total PM10 concentration), secondary crystalline particles (338.7±122.0μg/m(3), 59.2%), organic matter (77.3±48.5μg/m(3), 13.5%), and elemental carbon (38.0±28.3μg/m(3), 6.6%). Different sources had different proportions of these components in PM10. The power plant pollutant source was characterized by secondary crystalline particles (377.1μg/m(3)), elemental carbon (51.5μg/m(3)), and organic matter (90.6μg/m(3)) due to coal combustion. The mining area pollutant source was characterized by mineral matter (124.0μg/m(3)) due to weathering of waste dumps. The roadside pollutant source was characterized by mineral matter (130.0μg/m(3)) and organic matter (81.0μg/m(3)) due to road dust and vehicle exhaust, respectively. A positive matrix factorization (PMF) analysis was performed for PM10 source apportionment to identify major anthropogenic sources of PM10 in Pingdingshan. Six factors-crustal matter, coal combustion, vehicle exhaust and abrasion, local burning, weathering of waste dumps, and industrial metal smelting-were identified and their contributions to Pingdingshan PM10 were 19.0%, 31.6%, 7.4%, 6.3%, 9.8%, and 25.9%, respectively. Compared to other major cities in China, the source of PM10 in Pingdingshan was characterized by coal combustion, weathering of waste dumps, and industrial metal smelting. Copyright © 2016 Elsevier B.V. All rights reserved.

  15. TSP, PM10, and PM2.5 emissions from a beef cattle feedlot using the flux-gradient technique

    Science.gov (United States)

    Bonifacio, Henry F.; Maghirang, Ronaldo G.; Trabue, Steven L.; McConnell, Laura L.; Prueger, John H.; Bonifacio, Edna R.

    2015-01-01

    Emissions data on air pollutants from large open-lot beef cattle feedlots are limited. This research was conducted to determine emissions of total suspended particulates (TSP) and particulate matter (PM10 and PM2.5) from a commercial beef cattle feedlot in Kansas (USA). Vertical particulate concentration profiles at the feedlot were measured using gravimetric samplers, and micrometeorological parameters were monitored with eddy covariance instrumentation during the nine 4- to 5-day intensive sampling campaigns from May 2010 through September 2011. Emission fluxes were determined from the measured concentration gradients and meteorological parameters using the flux-gradient technique. PM ratios based on calculated emission fluxes were 0.28 for PM2.5/PM10, 0.12 for PM2.5/TSP, and 0.24 for PM10/TSP, indicating that a large fraction of the PM emitted at the studied feedlot was in the coarse range of aerodynamic diameter, >10 μm. Median daily emission factors were 57, 21, and 11 kg 1000-head (hd)-1 d-1 for TSP (n = 20 days), PM10 (n = 19 days), and PM2.5 (n = 11 days), respectively. Cattle pen surface moisture contents of at least 20-30% significantly reduced both TSP and PM10 emissions, but moisture's effect on PM2.5 emissions was not established due to difficulty in measuring PM2.5 concentrations under low-PM conditions.

  16. Mapping and Assessment of PM10 and O3 Removal by Woody Vegetation at Urban and Regional Level

    Directory of Open Access Journals (Sweden)

    Lina Fusaro

    2017-08-01

    Full Text Available This study is the follow up of the URBAN-MAES pilot implemented in the framework of the EnRoute project. The study aims at mapping and assessing the process of particulate matter (PM10 and tropospheric ozone (O3 removal by various forest and shrub ecosystems. Different policy levels and environmental contexts were considered, namely the Metropolitan city of Rome and, at a wider level, the Latium region. The approach involves characterization of the main land cover and ecosystems using Sentinel-2 images, enabling a detailed assessment of Ecosystem Service (ES, and monetary valuation based on externality values. The results showed spatial variations in the pattern of PM10 and O3 removal inside the Municipality and in the more rural Latium hinterland, reflecting the spatial dynamics of the two pollutants. Evergreen species displayed higher PM10 removal efficiency, whereas deciduous species showed higher O3 absorption in both rural and urban areas. The overall pollution removal accounted for 5123 and 19,074 Mg of PM10 and O3, respectively, with a relative monetary benefit of 161 and 149 Million Euro for PM10 and O3, respectively. Our results provide spatially explicit evidence that may assist policymakers in land-oriented decisions towards improving Green Infrastructure and maximizing ES provision at different governance levels.

  17. PM10 air pollution exposure during pregnancy and term low birth weight in Allegheny County, PA, 1994-2000.

    Science.gov (United States)

    Xu, Xiaohui; Sharma, Ravi K; Talbott, Evelyn O; Zborowski, Jeanne V; Rager, Judy; Arena, Vincent C; Volz, Conrad Dan

    2011-03-01

    Low birth weight has been associated with increased risks of mortality and/or morbidity in childhood and adulthood. Epidemiological studies suggest that maternal exposure to air pollution, especially particulate matter during pregnancy, is associated with an increased risk of delivering a low birth weight infant. The aim of this study is to explore the association between exposure to particulate matter (PM10) during pregnancy and term low birth weight (LBW: birth weight PM10 air data generated with inverse-distance interpolation by RAND's Center for Population Health and Health Disparities, were obtained. The study population consisted of all term singleton live births (gestational age ≥ 37 weeks) born between January 1, 1994 to December 31, 2000. Infants with birth weight estimation was performed to estimate the odds ratios of LBW per inter-quartile range increase in PM10. The results showed that the odds ratios of term LBW per inter-quartile range increase in PM10 were 1.13 (95% CI: 1.02-1.25) during the first trimester and 1.10 (95% CI: 1.00-1.22) during the second trimester after adjustment for other important covariates, respectively. The findings of the study support the hypothesis that exposure to PM10 is associated with increased levels of term LBW. Further studies are warranted to corroborate these findings.

  18. Development of a source oriented version of the WRF/Chem model and its application to the California regional PM10 / PM2.5 air quality study

    Directory of Open Access Journals (Sweden)

    H. Zhang

    2014-01-01

    Full Text Available A source-oriented version of the Weather Research and Forecasting model with chemistry (SOWC, hereinafter was developed. SOWC separately tracks primary particles with different hygroscopic properties rather than instantaneously combining them into an internal mixture. This approach avoids artificially mixing light absorbing black + brown carbon particles with materials such as sulfate that would encourage the formation of additional coatings. Source-oriented particles undergo coagulation and gas-particle conversion, but these processes are considered in a dynamic framework that realistically "ages" primary particles over hours and days in the atmosphere. SOWC more realistically predicts radiative feedbacks from anthropogenic aerosols compared to models that make internal mixing or other artificial mixing assumptions. A three-week stagnation episode (15 December 2000 to 6 January 2001 in the San Joaquin Valley (SJV during the California Regional PM10 / PM2.5 Air Quality Study (CRPAQS was chosen for the initial application of the new modeling system. Primary particles emitted from diesel engines, wood smoke, high-sulfur fuel combustion, food cooking, and other anthropogenic sources were tracked separately throughout the simulation as they aged in the atmosphere. Differences were identified between predictions from the source oriented vs. the internally mixed representation of particles with meteorological feedbacks in WRF/Chem for a number of meteorological parameters: aerosol extinction coefficients, downward shortwave flux, planetary boundary layer depth, and primary and secondary particulate matter concentrations. Comparisons with observations show that SOWC predicts particle scattering coefficients more accurately than the internally mixed model. Downward shortwave radiation predicted by SOWC is enhanced by ~1% at ground level chiefly because diesel engine particles in the source-oriented mixture are not artificially coated with material that

  19. African dust contribution to mean ambient PM10 across the Mediterranean Basin: A quantitative approach to investigate spatial and seasonal patterns

    Science.gov (United States)

    Querol, X.; Pandolfi, M.; Pey, J.; Alastuey, A.; Cusack, M.; Pérez, N.; Amato, F.; Moreno, T.; Viana, M.; Mihalopoulos, N.

    2009-04-01

    The aim of the present study is quantifying African dust contributions to mean PM10 levels recorded across the Mediterranean basin (2001-2008, 1995-2008 in one case) and evidencing spatial variations and seasonal trends. To this end the same methodology has been applied to a number of data sets on PM levels recorded in aerosol research monitoring sites (Montseny-EUSAAR, Spain, Finokalia-EUSAAR, Greece) and from a number of regional background (RB) monitoring sites from the Co-operative Program for Monitoring and Evaluation of the Long-Range Transmission of Air pollutants in Europe (EMEP) and regional air quality monitoring networks available from Airbase-EEA data set. Around 20 data series spread across the whole Mediterranean and bordering regions have been selected and analyzed in the present study. Once the PM data were obtained the days under the influence of African dust outbreaks were identified (using HYSPLIT, DREAM-BSC, SKIRON and NAAPS tools) for each receptor site. Subsequently, a method (Escudero et al., 2007) based on the statistical data treatment of time series of PM levels, without a need of chemical analysis, was used for the quantification of the daily African PM load during dust outbreaks at each site. Finally, PM speciation data available at MSY and FKL were used to differentiate the local/regional from the African mineral contributions across the Mediterranean Basin. Results show a clear W to E and N to S increasing gradients, both on annual PM levels and annual African dust load. In the Eastern Mediterranean the episodes are more intense and are relatively frequent in spring and summer period. However in the western side of the basin, African dust outbreaks are more frequent in summer and winter. In the N, NW and NE sides of the basin 1-2 µgPM10/m3 of mean annual dust contribution was quantified, whereas in the S, SE, SW this annual contribution ranges from 6 to 10 µgPM10/m3. The number of exceedances of the PM10 daily limit value

  20. Characteristics of particulate matter (PM10) and its relationship with meteorological factors during 2001-2012 in Beijing.

    Science.gov (United States)

    Tian, Guangjin; Qiao, Zhi; Xu, Xinliang

    2014-09-01

    Atmospheric pollution has become a significant challenge in Beijing metropolitan region, China. In this study, wavelet analysis and gray analysis were proposed to explore the temporal characteristics of particulate matter (PM10) and its relationships with meteorological factors during 2001-2012. The analysis indicated that air quality had got better significantly over the last decade. It was clearly interannual, seasonal, and monthly variation of atmospheric pollution, which represented that the air quality was the worst in spring, and got better in summer, subsequently tended to be more serious in autumn and winter. Generally atmospheric pressure was the most important meteorological feature influencing on PM10, followed by relative humidity and wind speed. However, the dominant meteorological factors influencing the atmospheric pollution were different in the four seasons. The results suggest that urban design and effective measures based on the relationship between meteorological factors and PM10 would be effective for improving atmospheric pollution. Copyright © 2014 Elsevier Ltd. All rights reserved.

  1. Preliminary analysis of levels of arsenic and other metalic elements in PM10 sampled near Copper Smelter Bor (Serbia

    Directory of Open Access Journals (Sweden)

    Renata Kovačević

    2010-09-01

    Full Text Available In this paper, the levels of twenty one elements (Ag, Al, As, B, Ba, Ca, Cd, Cr, Cu, Fe, K, Mg, Mn, Mo, Na, Ni, Pb, S, Se, Sr and Zn in PM10 are presented, as well as SO2 concentration, measured at the sampling site in an urban area of the town of Bor (40,000 inhabitants in eastern Serbia. The sampling site was located in a densely populated city center about 0.65 km away from one of the largest copper mines and copper smelters in Europe. For the first time PM10 was collected using the European standard sampler, during a preliminary campaign in duration of 7 days in early spring 2009. PM10 were sampled on PTFE membrane filters and element concentrations were quantified by GF AAS and ICP AES. Concentration levels and correlations within trace elements, PM10 and SO2 indicated that industrial activities underpinned with meteorological conditions of low wind speed (calm are the main factors that influence air pollution in a densely populated area. It was evident that both PM10 mass concentration and SO2 concentration once exceeded the daily limit values during a measuring period of seven days. Strong relationship was found between PM10 and Mn, Mg, Ca and B daily average concentrations. On the other hand, SO2 correlated strongly with As, Pb, Cd, Cu and S daily average concentrations. These results confirm the relationship between emissions of SO2 from the Copper Smelter Bor and calm meteorological conditions (wind speed less than 0.5 m/sec with the concentration levels of carcinogenic substances of arsenic, lead and cadmium in ambient air.

  2. Dispersion of TSP and PM(10) emissions from quarries in complex terrain.

    Science.gov (United States)

    Tartakovsky, Dmitry; Stern, Eli; Broday, David M

    2016-01-15

    This study evaluates AERMOD and CALPUFF dispersion calculations of particulate matter emissions from stone quarries in two mountainous regions against TSP and PM10 measurements, using both observational and WRF-modeled meteorological data. Due to different model parameterization, AERMOD dispersion predictions were in better agreement with the measured concentrations than those obtained by CALPUFF. As expected, the smaller the distance between the meteorological station, the source (quarry) and the receptors, the better the predictions of both AERMOD and CALPUFF. In contrast, using in-situ wind field obtained by runs of the WRF meteorological model for the complex terrain study area provided, in general, less accurate dispersion estimates than when using (even remote) meteorological observations. In particular, using the three-dimensional WRF-modeled wind field within CALPUFF did not provide any advantage over using the two-dimensional wind field, which is the common procedure of AERMOD and CALPUFF. Dry deposition was more significant for ambient concentration estimation in AERMOD than in CALPUFF. Copyright © 2015 Elsevier B.V. All rights reserved.

  3. Geochemistry of PM10 over Europe during the EMEP intensive measurement periods in summer 2012 and winter 2013

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    A. Alastuey

    2016-05-01

    Full Text Available The third intensive measurement period (IMP organised by the European Monitoring and Evaluation Programme (EMEP under the UNECE CLTRAP took place in summer 2012 and winter 2013, with PM10 filter samples concurrently collected at 20 (16 EMEP regional background sites across Europe for subsequent analysis of their mineral dust content. All samples were analysed by the same or a comparable methodology. Higher PM10 mineral dust loadings were observed at most sites in summer (0.5–10 µg m−3 compared to winter (0.2–2 µg m−3, with the most elevated concentrations in the southern- and easternmost countries, accounting for 20–40 % of PM10. Saharan dust outbreaks were responsible for the high summer dust loadings at western and central European sites, whereas regional or local sources explained the elevated concentrations observed at eastern sites. The eastern Mediterranean sites experienced elevated levels due to African dust outbreaks during both summer and winter. The mineral dust composition varied more in winter than in summer, with a higher relative contribution of anthropogenic dust during the former period. A relatively high contribution of K from non-mineral and non-sea-salt sources, such as biomass burning, was evident in winter at some of the central and eastern European sites. The spatial distribution of some components and metals reveals the influence of specific anthropogenic sources on a regional scale: shipping emissions (V, Ni, and SO42− in the Mediterranean region, metallurgy (Cr, Ni, and Mn in central and eastern Europe, high temperature processes (As, Pb, and SO42− in eastern countries, and traffic (Cu at sites affected by emissions from nearby cities.

  4. The effect of mineral dust transport on PM10 concentrations and physical properties in Istanbul during 2007-2014

    Science.gov (United States)

    Flores, Rosa M.; Kaya, Nefel; Eşer, Övgü; Saltan, Şehnaz

    2017-11-01

    Mineral dust is the most significant source of natural particulate matter. In urban regions, where > 50% of the world population is currently living, local emissions of particulate matter are further aggravated by mineral dust loadings from deserts. The megacity of Istanbul is located in an area sensitive to local pollution due to transportation (i.e., private cars, public transportation, aircrafts, ships, heavy diesel trucks, etc.), industrial emissions, residential heating, and long-range transport from Europe, Asia, and deserts. In this work, the effect of desert dust transport on PM10 concentrations and physical properties was investigated for the period of 2007-2014 in the touristic area of Aksaray, Istanbul. The Dust Regional Atmospheric Model (DREAM8b) was used to predict dust loading in Istanbul during dust transport events. Variations on surface PM10 concentrations were investigated according to seasons and during dust transport events. Cluster analysis of air mass backward trajectories was useful to understand frequency analysis and air mass trajectory dependence of PM10 concentrations on dust loadings. The effect of desert dust transport on aerosol optical depths was also investigated. It was observed that PM10 concentrations exceeded the air quality standard of 50 μg m- 3 50% of the time during the study period. The largest number of exceedances in air quality standard occurred during the spring and winter seasons. Approximately 40-60% of the dust loading occurs during the spring. Desert dust and non-desert dust sources contribute to 22-72% and 48-81% of the ground-level PM10 concentrations in Aksaray, Istanbul during the study period. Averaged AOD observed during dust transport events in spring and summer ranged 0.35-0.55. Cluster analysis resolved over 82% the variability of individual air mass backward trajectories into 5 clusters. Overall, air masses arriving to Istanbul at 500 m are equally distributed into northern (52%) and southern (48

  5. Health Impact Assessment of PM10 and PM2.5 in 27 Southeast and East Asian Cities

    OpenAIRE

    Yorifuji, Takashi; Bae, Sanghyuk; Kashima, Saori; Tsuda, Toshihide; Doi,Hiroyuki; Honda, Yasushi; Kim, Ho; Hong, Yun-Chul

    2015-01-01

    Objective: We aimed to evaluate the annual health impacts of particulate matter (PM) less than 10 μm diameter (PM10) and less than 2.5-μm diameter (PM2.5) in 27 cities in Southeast and East Asian countries (Japan, the Philippines, the Republic of Korea, Singapore, and Vietnam) for the year 2009 (n = 50,756,699).Methods: We estimated the number of cases attributable to long-term exposure. We used a scenario that reduced the annual mean values for PM10 and PM2.5 to 20 and 10 μg/m3, respectively...

  6. Exposure of bakery and pastry apprentices to airborne flour dust using PM2.5 and PM10 personal samplers

    Science.gov (United States)

    Mounier-Geyssant, Estelle; Barthélemy, Jean-François; Mouchot, Lory; Paris, Christophe; Zmirou-Navier, Denis

    2007-01-01

    Background This study describes exposure levels of bakery and pastry apprentices to flour dust, a known risk factor of occupational asthma. Methods Questionnaires on work activity were completed by 286 students. Among them, 34 performed a series of two personal exposure measurements using a PM2.5 and PM10 personal sampler during a complete work shift, one during a cold ("winter") period, and the other during a hot ("summer") period. Results Bakery apprentices experience greater average PM2.5 and PM10 exposures than pastry apprentices (p bakery apprentices incur substantial exposure to known airways allergens, a situation that might elicit early induction of airways inflammation. PMID:17976230

  7. Correlations among inorganic and organic elements in particulate matter (PM10) in urban area of Venezia-Mestre.

    Science.gov (United States)

    Mantovan, Ilaria; Rado, Nadia; Rampazzo, Giancarlo; Visin, Flavia

    2003-04-01

    Concentrations of inhalable particulate matter (PM10), Pb, Zn, Pt, Ce, Cd, Se and of Benzo(a)pyrene (BaP) were determined in three locations near Venice from September 2000 to September 2001. Meteorological conditions were considered during the sampling period. All components showed higher concentrations during winter, except for Cd and Se in the two sites at Mestre. Spatial and temporal variations were observed. There were correlations between Pb and Zn and PM10, Cd and Se, Pb and BaP and, in the main street sampling site, also between BaP and Pt. Their possible sources of emission are discussed on the basis of correlations among elements.

  8. Temporal and spatial analyses of particulate matter (PM10 and PM2.5) and its relationship with meteorological parameters over an urban city in northeast China

    Science.gov (United States)

    Li, Xiaolan; Ma, Yanjun; Wang, Yangfeng; Liu, Ningwei; Hong, Ye

    2017-12-01

    speed favored the dispersion of PM pollution, but also aided the release of coarse dust particles in spring. High air pressure and downdrafts restrained the upward movement of atmospheric PM, resulting in an accumulation of particles in the boundary layer. High air temperature favored the transformation of secondary particles through photochemical processes in summer, but also resulted in efficient vertical dispersion of pollutants in autumn and winter, leading to an inverse relationship between temperature and PM concentrations. Large relative humidity usually caused increases in PM concentrations due to the hygroscopic effect of aerosols, but not for PM10 in spring and summer, mainly due to the suppression of dust emissions under wet air conditions in spring and the effects of wet scavenging under high summer rainfall.

  9. Crop harvest in Central Europe causes episodes of high airborne Alternaria spore concentrations in Copenhagen

    Science.gov (United States)

    Skjøth, C. A.; Sommer, J.; Frederiksen, L.; Gosewinkel Karlson, U.

    2012-06-01

    This study tests the hypothesis that Danish agricultural areas are the main source to airborne Alternaria spores in Copenhagen, Denmark. We suggest that the source to the overall load is mainly local, but with intermittent Long Distance Transport (LDT) from more remote agricultural areas. This hypothesis is supported by investigating a 10 yr bi-hourly record of Alternaria spores in the air from Copenhagen. This record shows 232 clinically relevant episodes with a distinct daily profile. The data analysis also revealed potential LDT episodes almost every year. A source map and analysis of atmospheric transport suggest that LDT always originates from the main agricultural areas in Central Europe. A dedicated emission study in cereal crops under harvest during 2010 also supports our hypothesis. The emission study showed that although the fields had been treated against fungal infections, harvesting still produced large amounts of airborne fungal spores. It is likely that such harvesting periods can cause clinically relevant levels of fungal spores in the atmosphere. Our findings suggest that crop harvest in Central Europe causes episodes of high airborne Alternaria spore concentrations in Copenhagen as well as other urban areas in this region. It is likely that such episodes could be simulated using atmospheric transport models.

  10. Caracterización química de material particulado PM10 en la atmósfera de La Guajira Colombia

    Directory of Open Access Journals (Sweden)

    Carlos Julio Doria Argumedo

    2016-11-01

    Full Text Available Durante el año 2013, se realizó un estudio en La Guajira, Colombia, con el fin de determinar  la composición química del  material particulado PM10, producto de las actividades mineras de carbón a cielo abierto que ocupan casi 30% del territorio; también se evaluó su asociación a fuentes naturales y antropogénicas. La recolección de filtros se realizó por medio de un sistema de monitoreo conformado por catorce estaciones mediante equipos muestreadores de alto volumen PM10 (Thermo Scientific VFC-PM10 High Volume Air Sampler. Para el análisis, los filtros de cuarzo fueron sometidos a extracción acuosa en caliente y se determinaron los iones por espectrofotometría UV-VIS e ICP-MS. Las concentraciones más altas corresponden a la especies SO42- (0,25 µg/m3, Cl- (0,19 µg/m3, NH4+ (0,032 µg/m3, Na+ (1,98µg/m3, Ca2+ (0,40 µg/m3 y Mg2+ (0,31 µg/m3. Los resultados indican que las principales fuentes responsables del material particulado corresponden al aerosol marino impulsado por las corrientes (Cl- y Na+ de origen natural, y las actividades agrícolas, pecuarias (NH4+ y mineras (SO42-, Ca2+ y Mg2+ de origen antropogénico.

  11. Stochastic univariate and multivariate time series analysis of PM2.5 and PM10 air pollution: A comparative case study for Plovdiv and Asenovgrad, Bulgaria

    Science.gov (United States)

    Gocheva-Ilieva, S.; Stoimenova, M.; Ivanov, A.; Voynikova, D.; Iliev, I.

    2016-10-01

    Fine particulate matter PM2.5 and PM10 air pollutants are a serious problem in many urban areas affecting both the health of the population and the environment as a whole. The availability of large data arrays for the levels of these pollutants makes it possible to perform statistical analysis, to obtain relevant information, and to find patterns within the data. Research in this field is particularly topical for a number of Bulgarian cities, European country, where in recent years regulatory air pollution health limits are constantly being exceeded. This paper examines average daily data for air pollution with PM2.5 and PM10, collected by 3 monitoring stations in the cities of Plovdiv and Asenovgrad between 2011 and 2016. The goal is to find and analyze actual relationships in data time series, to build adequate mathematical models, and to develop short-term forecasts. Modeling is carried out by stochastic univariate and multivariate time series analysis, based on Box-Jenkins methodology. The best models are selected following initial transformation of the data and using a set of standard and robust statistical criteria. The Mathematica and SPSS software were used to perform calculations. This examination showed measured concentrations of PM2.5 and PM10 in the region of Plovdiv and Asenovgrad regularly exceed permissible European and national health and safety thresholds. We obtained adequate stochastic models with high statistical fit with the data and good quality forecasting when compared against actual measurements. The mathematical approach applied provides an independent alternative to standard official monitoring and control means for air pollution in urban areas.

  12. Assessment of annual air pollution levels with PM1, PM2.5, PM10 and associated heavy metals in Algiers, Algeria.

    Science.gov (United States)

    Talbi, Abdelhamid; Kerchich, Yacine; Kerbachi, Rabah; Boughedaoui, Ménouèr

    2018-01-01

    Concentrations of particulate matter less than 1  μm, 2.5  μm, 10 μm and their contents of heavy metals were investigated in two different stations, urban and roadside at Algiers (Algeria). Sampling was conducted during two years by a high volume samplers (HVS) equipped with a cascade impactor at four levels stage, for one year sampling. The characterization of the heavy metals associated to the particulate matter (PM) was carried out by X-Ray Fluorescence analysis (XRF). The annual average concentration of PM1, PM2.5 and PM10 in both stations were 18.24, 32.23 and 60.01 μg m(-3) respectively. The PM1, PM2.5 and PM10 concentrations in roadside varied from 13.46 to 25.59 μg m(-3), 20.82-49.85 μg m(-3) and 45.90-77.23 μg m(-3) respectively. However in the urban station, the PM1, PM2.5 and PM10 concentrations varied from 10.45 to 26.24 μg m(-3), 18.53-47.58 μg m(-3) and 43.8-91.62 μg m(-3). The heavy metals associated to the PM were confirmed by Scanning Electron Microscopy-Energy Dispersive X-Ray analyses (SEM-EDX). The different spots of PM2.5 analysis by SEM-EDX shows the presence of nineteen elements with anthropogenic and natural origins, within the heavy metal detected, the lead was found with maximum of 5% (weight percent). In order to determine the source contributions of PM levels at the two sampling sites sampling, principal compound analysis (PCA) was applied to the collected data. Statistical analysis confirmed anthropogenic source with traffic being a significant source and high contribution of natural emissions. At both sites, the PM2.5/PM10 ratio is lower than that usually recorded in developed countries. The study of the back-trajectories of the air masses starting from Sahara shows that desert dust influences the concentration and the composition of the PM measured in Algiers. Copyright © 2017 Elsevier Ltd. All rights reserved.

  13. Concentration and source identification of polycyclic aromatic hydrocarbons (PAHs) in PM10 of urban, industrial and semi-urban areas in Malaysia

    Science.gov (United States)

    Jamhari, Anas Ahmad; Sahani, Mazrura; Latif, Mohd Talib; Chan, Kok Meng; Tan, Hock Seng; Khan, Md Firoz; Mohd Tahir, Norhayati

    2014-04-01

    Particulate matter (PM10) associated with polycyclic aromatic hydrocarbons (PAHs) in ambient air were determined at two sites within the Klang Valley, Kuala Lumpur (urban, KL) and Petaling Jaya (industrial, PJ), and one site outside the Klang Valley, Bangi (semi-urban, BG). This study aimed to determine the concentration and distribution of PAHs in PM10 and the source of origin through principal component analysis (PCA) and diagnostic ratio analysis. This study also assessed the health risk from exposure to airborne BaPeq. PM10 samples were collected on glass fiber filter paper using a High Volume Sampler (HVS) for 24 h between September 2010 and April 2011. The filter papers with PM10 were extracted using dichloromethane-methanol (3:1), and analysis of 16 USEPA priority PAHs was determined using gas chromatography with mass spectra (GC-MS). Health risk assessment was estimated using toxic equivalency factors (TEFs) and incremental lifetime cancer risk (ILCR) which quantitatively estimate the exposure risk for age specific group. The results showed that the total PAHs concentrations throughout seasonal monsoons for KL, PJ and BG ranged from 1.33 ng m-3 to 2.97 ng m-3, 2.24 ng m-3 to 4.84 ng m-3 and 1.64 ng m-3 to 3.45 ng m-3 respectively. More than 80% of total PAHs consisted of 5-ring and 6-ring PAHs such as benzo[a]pyrene (BaP), indeno[1,2,3-cd]pyrene (IcP), benzo[b]fluoranthene (BbF), benzo[k]fluoranthene (BkF) and benzo[g,h,i]perylene (BgP). The presence of benzo[g,h,i]perylene (BgP) with high concentration at all locations suggested a source indicator for traffic emission. PCA and diagnostic ratio analysis also suggested substantial contributions from traffic emission with minimal influence from coal combustion and natural gas emissions. The use of total BaPeq concentration provide a better estimation of carcinogenicity activities, where they contributed to more than 50% of the potential health risk. Health risk assessment showed that the estimated incremental

  14. Spatial and temporal variability of ultrafine particles, NO2, PM2.5, PM2.5 absorbance, PM10 and PMcoarse in Swiss study areas

    Science.gov (United States)

    Eeftens, Marloes; Phuleria, Harish C.; Meier, Reto; Aguilera, Inmaculada; Corradi, Elisabetta; Davey, Mark; Ducret-Stich, Regina; Fierz, Martin; Gehrig, Robert; Ineichen, Alex; Keidel, Dirk; Probst-Hensch, Nicole; Ragettli, Martina S.; Schindler, Christian; Künzli, Nino; Tsai, Ming-Yi

    2015-06-01

    long-term adjusted pollutants were high (R²>0.70) between NO2, PM2.5 absorbance, PNC and LDSA and between PM2.5 and PM10. The measurement of spatial patterns for this large range of outdoor air pollutants will contribute to a highly standardized estimation of individual long-term exposure levels for SAPALDIA cohort participants.

  15. Experimental determination of drift and PM10 cooling tower emissions: Influence of components and operating conditions.

    Science.gov (United States)

    Ruiz, J; Kaiser, A S; Lucas, M

    2017-11-01

    Cooling tower emissions have become an increasingly common hazard to the environment (air polluting, ice formation and salts deposition) and to the health (Legionella disease) in the last decades. Several environmental policies have emerged in recent years limiting cooling tower emissions but they have not prevented an increasing intensity of outbreaks. Since the level of emissions depends mainly on cooling tower component design and the operating conditions, this paper deals with an experimental investigation of the amount of emissions, drift and PM10, emitted by a cooling tower with different configurations (drift eliminators and distribution systems) and working under several operating conditions. This objective is met by the measurement of cooling tower source emission parameters by means of the sensitive paper technique. Secondary objectives were to contextualize the observed emission rates according to international regulations. Our measurements showed that the drift rates included in the relevant international standards are significantly higher than the obtained results (an average of 100 times higher) and hence, the environmental problems may occur. Therefore, a revision of the standards is recommended with the aim of reducing the environmental and human health impact. By changing the operating conditions and the distribution system, emissions can be reduced by 52.03% and 82% on average. In the case of drift eliminators, the difference ranges from 18.18% to 98.43% on average. As the emissions level is clearly influenced by operating conditions and components, regulation tests should be referred to default conditions. Finally, guidelines to perform emission tests and a selection criterion of components and conditions for the tested cooling tower are proposed. Copyright © 2017 Elsevier Ltd. All rights reserved.

  16. A Methodology to Monitor Airborne PM10 Dust Particles Using a Small Unmanned Aerial Vehicle

    Directory of Open Access Journals (Sweden)

    Miguel Alvarado

    2017-02-01

    Full Text Available Throughout the process of coal extraction from surface mines, gases and particles are emitted in the form of fugitive emissions by activities such as hauling, blasting and transportation. As these emissions are diffuse in nature, estimations based upon emission factors and dispersion/advection equations need to be measured directly from the atmosphere. This paper expands upon previous research undertaken to develop a relative methodology to monitor PM10 dust particles produced by mining activities making use of small unmanned aerial vehicles (UAVs. A module sensor using a laser particle counter (OPC-N2 from Alphasense, Great Notley, Essex, UK was tested. An aerodynamic flow experiment was undertaken to determine the position and length of a sampling probe of the sensing module. Flight tests were conducted in order to demonstrate that the sensor provided data which could be used to calculate the emission rate of a source. Emission rates are a critical variable for further predictive dispersion estimates. First, data collected by the airborne module was verified using a 5.0 m tower in which a TSI DRX 8533 (reference dust monitoring device, TSI, Shoreview, MN, USA and a duplicate of the module sensor were installed. Second, concentration values collected by the monitoring module attached to the UAV (airborne module obtaining a percentage error of 1.1%. Finally, emission rates from the source were calculated, with airborne data, obtaining errors as low as 1.2%. These errors are low and indicate that the readings collected with the airborne module are comparable to the TSI DRX and could be used to obtain specific emission factors from fugitive emissions for industrial activities.

  17. A Methodology to Monitor Airborne PM10Dust Particles Using a Small Unmanned Aerial Vehicle.

    Science.gov (United States)

    Alvarado, Miguel; Gonzalez, Felipe; Erskine, Peter; Cliff, David; Heuff, Darlene

    2017-02-14

    Throughout the process of coal extraction from surface mines, gases and particles are emitted in the form of fugitive emissions by activities such as hauling, blasting and transportation. As these emissions are diffuse in nature, estimations based upon emission factors and dispersion/advection equations need to be measured directly from the atmosphere. This paper expands upon previous research undertaken to develop a relative methodology to monitor PM 10 dust particles produced by mining activities making use of small unmanned aerial vehicles (UAVs). A module sensor using a laser particle counter (OPC-N2 from Alphasense, Great Notley, Essex, UK) was tested. An aerodynamic flow experiment was undertaken to determine the position and length of a sampling probe of the sensing module. Flight tests were conducted in order to demonstrate that the sensor provided data which could be used to calculate the emission rate of a source. Emission rates are a critical variable for further predictive dispersion estimates. First, data collected by the airborne module was verified using a 5.0 m tower in which a TSI DRX 8533 (reference dust monitoring device, TSI, Shoreview, MN, USA) and a duplicate of the module sensor were installed. Second, concentration values collected by the monitoring module attached to the UAV (airborne module) obtaining a percentage error of 1.1%. Finally, emission rates from the source were calculated, with airborne data, obtaining errors as low as 1.2%. These errors are low and indicate that the readings collected with the airborne module are comparable to the TSI DRX and could be used to obtain specific emission factors from fugitive emissions for industrial activities.

  18. Removal of particulate matter (PM10) by air scrubbers at livestock facilities: results of an on-farm monitoring program.

    NARCIS (Netherlands)

    Melse, R.W.; Hofschreuder, P.; Ogink, N.W.M.

    2012-01-01

    Air scrubbers are commonly used for removal of ammonia and odor from exhaust air of animal houses in the Netherlands. In addition, air scrubbers remove a part of the particulate matter. In this article, the results of an on-farm monitoring are presented in which PM10 removal was monitored at 24

  19. Influence of tobacco smoke on carcinogenic PAH composition in indoor PM 10 and PM 2.5

    National Research Council Canada - National Science Library

    Slezakova, K; Castro, D; Pereira, M.C; Morais, S; Delerue-Matos, C; Alvim-Ferraz, M.C

    2009-01-01

    ... (PM). Many epidemiological studies ( Dockery and Pope, 1994; Brunekreef and Holgate, 2002; Trasande and Thurston, 2005 ) have shown a strong association between the exposure to PM 10 (particulate matter with aerodynamic diameter smaller than 10 μm) and the increase of morbidity and mortality rates. Size of particles is a particular im...

  20. Effect of chimneys on indoor air concentrations of PM 10 and benzo[a]pyrene in Xuan Wei, China

    Science.gov (United States)

    Tian, Linwei; Lan, Qing; Yang, Dong; He, Xingzhou; Yu, Ignatius T. S.; Hammond, S. Katharine

    This paper reports the effect of chimneys in reducing indoor air pollution in a lung cancer epidemic area of rural China. Household indoor air pollution concentrations were measured during unvented burning (chimneys blocked) and vented burning (chimneys open) of bituminous coal in Xuan Wei, China. Concentrations of particulate matter with an aerodynamic diameter of 10 μm or less (PM 10) and of benzo[a]pyrene (BaP) were measured in 43 homes during normal activities. The use of chimneys led to significant decreases in indoor air concentrations of particulate matter with an aerodynamic diameter of 10 μm or less (PM 10) by 66% and of benzo[a]pyrene (BaP) by 84%. The average BaP content of PM 10 also decreased by 55% with the installation of a chimney. The reduction of indoor pollution levels by the installation of a chimney supports the epidemiology findings on the health benefits of stove improvement. However, even in the presence of a chimney, the indoor air concentrations for both PM 10 and BaP still exceeded the indoor air quality standards of China. Movement up the energy ladder to cleaner liquid or gaseous fuels is probably the only sustainable indoor air pollution control measure.

  1. Six-day PM10 air quality forecasts for the Netherlahnds with the chemistry transport model Lotos-Euros

    NARCIS (Netherlands)

    Schaap, M.; Manders-de Groot, A.M.M.

    2011-01-01

    In this work we study the ability of the chemistry transport model Lotos-Euros to forecast, with a range of six days, PM10 concentrations and exceedances thereof. For both rural and non-rural locations in The Netherlands and based on one year of data, model performance does not deteriorate up to a

  2. Daily concentrations trend and change point of particulate matter (PM10) in Pahang, Malaysia - A case study at Balok Baru

    Science.gov (United States)

    Wahid, Sharifah Norhuda Syed; Ujang, Suriyati

    2015-02-01

    Daily concentration of particulate matter with aerodynamic diameter less than 10 μm (PM10) could be very harmful to human health such as respiratory and cardiovascular diseases. The purpose of this paper is to describe on the experiences of air pollutants in the state of Pahang, Malaysia during the first quarter of year 2014. Data were gathered from available automatic air quality monitoring stations at Balok Baru, Pahang through the assistance from the Department of Environment. Cumulative sum technique shows that a change occurred at March, 8th with 88 μg/ m3, moderate air quality level. This change point indicated that the PM10 level started to have a potential in moderate or worse level. In addition, time series regression analysis shows that the trend of daily concentrations of Balok Baru station was an upward trend and for additional day, the PM10 level was increased by 0.1117 μg/ m3. It is hoped that this study will give a significant contribution for future researcher in the area of the study on the risk of PM10 or other types of air pollutant to air quality and also human health.

  3. A Comparison on Function of Kriging and Inverse Distance Weighting Models in PM10 Zoning in Urban Area

    Directory of Open Access Journals (Sweden)

    Mohammad Hassan Ehrampoush

    2017-12-01

    Conclusion: According to higher concentration of PM10 compared to WHO standard values particularly in spring, necessary actions and solutions should be taken for the pollution reduction. This study indicated that Kriging model has a better efficiency for spatial analysis of suspended particles, compared to IDW method.

  4. CHANGES IN OPERATING PROCEDURES FOR AEROSOL CONCENTRATION UNIFORMITY FOR PM2.5 AND PM10 SAMPLER TESTING

    Science.gov (United States)

    This technical note documents changes in the standard operating procedures used at the Environmental Protection Agency's (U.S. EPA) aerosol testing wind tunnel facility for testing of particulate matter monitoring methods of PM2.5 and PM10. These changes are relative to the op...

  5. Anti-Inflammatory Effects of Pomegranate Peel Extract in THP-1 Cells Exposed to Particulate Matter PM10

    Science.gov (United States)

    Park, Soojin; Seok, Jin Kyung; Kwak, Jun Yup; Suh, Hwa-Jin; Kim, Young Mi; Boo, Yong Chool

    2016-01-01

    Epidemiological and experimental evidence support health risks associated with the exposure to airborne particulate matter with a diameter of punicalagin and ellagic acid, attenuated PM10-induced monocyte adhesion to endothelial cells, and punicalagin was less cytotoxic compared to ellagic acid. The present study suggests that PPE and punicalagin may be useful in alleviating inflammatory reactions due to particulate matter. PMID:27247608

  6. 78 FR 21547 - Approval and Promulgation of Air Quality Implementation Plans; Oregon: Eugene-Springfield PM10

    Science.gov (United States)

    2013-04-11

    ... increased emissions from on-road mobile sources would increase PM 10 concentrations in the Eugene..., animal or vegetable matter resulting from the handling, preparation, cooking or service of food, or of...). Thus, in reviewing SIP submissions, EPA's role is to approve state choices, provided that they meet the...

  7. The PM10 fraction of road dust in the UK and India: Characterization, source profiles and oxidative potential.

    Science.gov (United States)

    Pant, Pallavi; Baker, Stephen J; Shukla, Anuradha; Maikawa, Caitlin; Godri Pollitt, Krystal J; Harrison, Roy M

    2015-10-15

    Most studies of road dust composition have sampled a very wide range of particle sizes, but from the perspective of respiratory exposure to resuspended dusts, it is the PM10 fraction which is of most importance. The PM10 fraction of road dust samples was collected at two sites in Birmingham, UK (major highway and road tunnel) and one site in New Delhi, India. Dust loadings were found to be much higher for New Delhi compared to Birmingham, while concentrations of several species were much higher in the case of Birmingham. Detailed chemical source profiles were prepared for both cities and previously generated empirical factors for source attribution to brake wear, tyre wear, and crustal dust were successfully applied to the UK sites. However, 100% of the mass for the Indian site could not be accounted for using these factors. This study highlights the need for generation of local empirical estimation factors for non-exhaust vehicle emissions. A limited number of bulk road dust and brake pad samples were also characterized. Oxidative potential (OP) was also determined for a limited number of PM10 and bulk road dust samples, and Cu was found to be a factor significantly associated with OP in PM10 and bulk road dust. Copyright © 2015 Elsevier B.V. All rights reserved.

  8. Disentangling the contribution of Saharan dust and marine aerosol to PM10 levels in the Central Mediterranean

    Science.gov (United States)

    Scerri, Mark M.; Kandler, Konrad; Weinbruch, Stephan

    2016-12-01

    The Għarb rural background station located on the northernmost island in the Maltese archipelago has been used to gather PM10 data since 2008. 224 samples from a monitoring campaign carried out from March 2012 to May 2013, were characterized for various metals and ions by inductively coupled plasma mass spectrometry (ICP-MS) and ion chromatography. This speciation data was used in conjunction with the positive matrix factorization (PMF) model in order to determine the contribution of Saharan dust and marine aerosol to PM10 levels at the receptor. PMF managed to isolate two different crustal source contributions: a local crustal component and a trans-boundary component of North African origin. Marine aerosol, secondary nitrate/aged aerosol, and ammonium sulphate were other source contributions, which were isolated by the model. The trans-boundary crustal component (Saharan aerosol) and the marine aerosol are considered to be of natural origin and their joint contribution to PM10 levels at the site was estimated to be 39%. This value is in the upper part of the range derived from previous studies, for natural contributions to PM10 in Europe (0.5%-58%).

  9. The development of air quality indices through image-retrieved AOT and PM10 measurements in Limassol Cyprus

    Science.gov (United States)

    Themistocleous, Kyriacos; Hadjimitsis, Diofantos G.; Retalis, Adrianos; Chrysoulakis, Nektarios

    2012-11-01

    Research indicates that aerosol optical thickness (AOT) values and particulate matter (PM10) measurements can be used as indicators of atmospheric pollution. The problem of relating AOT with suspended particulate matter near the ground is still an open question. While satellite images can provide reliable and synoptic measurements from space, comparisons with monitoring surface level air pollution continues to be a challenge since satellite measurements are column integrated quantities. In this study, in-situ spectroradiometric measurements were taken during satellite overpass using field spectrometers to obtain the reflectance values of the calibration targets used. Sun photometer measurements were taken with the Microtops hand-held sun photometer to measure AOT. Meteorological data was collected from nearby meteorological stations and PM10 measurements were collected from local mobile air pollution stations. Following, the darkest pixel method of atmospheric correction was applied to a series of Landsat satellite images. The reflectance values of the atmospherically-corrected image were used in the radiative transfer equation to solve for AOT. Thematic maps were generated in order to develop air quality indices. The image-derived AOT values were examined for a positive correlation with PM10 measurements. It appears there exists a significant correlation between AOT and PM10 measurements.

  10. Mapping of PM10 surface concentrations derived from satellite observations of aerosol optical thickness over South-Eastern France

    Science.gov (United States)

    Péré, J.-C.; Pont, V.; Mallet, M.; Bessagnet, B.

    2009-01-01

    This work aims at developing a methodology based on in-situ experimental observations in order to use satellite retrievals as a tool for monitoring air particulate pollution. This methodology is applied during summer time on the South-Eastern France, which is one of the most polluted zones over Europe, enclosing further large cities and industrial sites. In a first time, we consider correlations between daily mean AERONET AOT and PM10 concentrations at five sites located as well close to as far from pollution sources. Our results show significant correlation coefficients, ranging from 0.68 to 0.79, following the site studied. Several factors like aerosol vertical distribution or hygroscopic growth factor could affect the link between PM10 ground measurements and aerosol optical thickness. To statistically strengthen this approach, we gather data sets from three types of sites (urban, near urban and rural) and establish a linear relationship between daily mean AOT measured from AERONET and PM10 mass concentrations. Secondly and thanks to good agreements between AOT measured from AERONET and AOT retrieved from the MODIS sensor, we calculate estimated concentrations of PM10 by using MODIS retrievals above the South-Eastern France. Uncertainties about this approach are discussed.

  11. A method to estimate the distribution of various fractions of PM10 in ambient air in the Netherlands

    NARCIS (Netherlands)

    Janssen, L.H.J.M.; Buringh, E.; Meulen, A. van der; Hout, K.D. van den

    1999-01-01

    Eight rules based on measurements, model calculations, additional deductions and expert judgement have been devised for use in estimating the distribution and sources of various fractions of PM10 in the Netherlands. As some of the underlying assumptions to these rules are debatable, they can be best

  12. TSP, PM10, and PM2.5 emissions from a beef cattle feedlot using the flux-gradient technique

    Science.gov (United States)

    Emissions data on air pollutants from large open-lot beef cattle feedlots are limited. This research was conducted to determine emissions of total suspended particulates (TSP) and particulate matter (PM10 and PM2.5) from a commercial beef cattle feedlot in Kansas (USA). Vertical particulate concentr...

  13. Potential impact of particulate matter less than 10 micron (PM10) to ambient air quality of Jakarta and Palembang

    Science.gov (United States)

    Agustine, I.; Yulinawati, H.; Gunawan, D.; Suswantoro, E.

    2018-01-01

    Particulate is a main urban air pollutant affects the environment and human wellbeing. The purpose of this study is to analyze the impact of particulate matter less than 10 micron (PM10) to ambient air quality of Jakarta and Palembang. The analysis is done with calendarPlot Function of openair model, which is based on the calculation of Pollutant Standards Index (PSI) or better known as Air Quality Index (AQI). The AQI category of “moderate” dominates Jakarta’s calendar from 2015 to 2016, which indicates the impact of PM10 is the visibility reduction. There was one day with category “unhealthy” that indicates the impact of dust exposure everywhere in Jakarta during 2015. Similar to Jakarta, the AQI category “moderate” also dominates Palembang’s calendar during 2015. However, the AQI category “hazardous” happened for few days in September and October 2015 during forest fires, which indicates the more harmful impacts of PM10, such as reduced visibility, dust exposure everywhere, increased sensitivity in patients with asthma and bronchitis to respiratory illness in all exposed populations. During 2016, AQI category of Jakarta mostly “moderate”, while in Palembang was “good”. Dominant AQI category from 2015 to 2016 shows higher PM10 concentration occurred in Jakarta compared to Palembang.

  14. Particulate matter (PM10) patterns in Europe: An exploratory data analysis using non-negative matrix factorization

    Science.gov (United States)

    Žibert, Janez; Cedilnik, Jure; Pražnikar, Jure

    2016-05-01

    In last decade space-density of monitoring stations increased, in to addition also air pollution modeling made big progress. Using diversity of big data can lead to better knowledge about air pollution at continental scale. The focus of presented study is the data-driven approach using non-negative matrix factorization to provide new insights and to study the characteristic space-time particulate-matter patterns across Europe. We analyzed the PM10 concentrations obtained from 1097 monitoring stations (AirBase data) and the Monitoring Atmospheric Composition and Climate (MACC) modeled fields for a period of 3 years. We distinguished five characteristic patterns obtained from the AirBase data and five patterns from the MACC data. A comparison between the AirBase and MACC data shows a good spatial overlap for the east Europe, central Europe and the Mediterranean patterns. However, it should be noted that an analysis of the MACC data revealed two additional marine patterns: the Celtic and the North Seas. The Po Valley and Balkan patterns were very clearly identified when analyzing the AirBase data. In order to better understand the influence of the synoptic situation on the particulate-matter concentrations the synoptic meteorological situations were additionally analyzed. The cold season, low wind and very stable conditions, which can last for several days, is the most common situation linked to high concentrations of anthropogenic air pollution with particulate matter. In contrast, for the Mediterranean pattern the most common situation (high factor loadings) is observed during the summer period. This pattern also exhibits a clearer annual cycle. A closer look at the sea-salt patterns (Celtic and North Seas) shows low time-series correlations between these two factors. Nevertheless, the physical mechanism is the same: a steep gradient between the cyclone and the anti-cyclone that causes high winds and, consequently, higher sea-salt production.

  15. A longitudinal study of sick building syndrome (SBS) among pupils in relation to SO2, NO2, O3 and PM10 in schools in China.

    Science.gov (United States)

    Zhang, Xin; Li, Fan; Zhang, Li; Zhao, Zhuohui; Norback, Dan

    2014-01-01

    There are fewer longitudinal studies from China on symptoms as described for the sick building syndrome (SBS). Here, we performed a two-year prospective study and investigated associations between environmental parameters such as room temperature, relative air humidity (RH), carbon dioxide (CO2), nitrogen dioxide (NO2), sulphur dioxide (SO2), ozone (O3), particulate matter (PM10), and health outcomes including prevalence, incidence and remission of SBS symptoms in junior high schools in Taiyuan, China. Totally 2134 pupils participated at baseline, and 1325 stayed in the same classrooms during the study period (2010-2012). The prevalence of mucosal symptoms, general symptoms and symptoms improved when away from school (school-related symptoms) was 22.7%, 20.4% and 39.2%, respectively, at baseline, and the prevalence increased during follow-up (P<0.001). At baseline, both indoor and outdoor SO2 were found positively associated with prevalence of school-related symptoms. Indoor O3 was shown to be positively associated with prevalence of skin symptoms. At follow-up, indoor PM10 was found to be positively associated with new onset of skin, mucosal and general symptoms. CO2 and RH were positively associated with new onset of mucosal, general and school-related symptoms. Outdoor SO2 was positively associated with new onset of skin symptoms, while outdoor NO2 was positively associated with new onset of skin, general and mucosal symptoms. Outdoor PM10 was found to be positively associated with new onset of skin, general and mucosal symptoms as well as school-related symptoms. In conclusion, symptoms as described for SBS were commonly found in school children in Taiyuan City, China, and increased during the two-year follow-up period. Environmental pollution, including PM10, SO2 and NO2, could increase the prevalence and incidence of SBS and decrease the remission rate. Moreover, parental asthma and allergy (heredity) and pollen or pet allergy (atopy) can be risk factors for

  16. A longitudinal study of sick building syndrome (SBS among pupils in relation to SO2, NO2, O3 and PM10 in schools in China.

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    Xin Zhang

    Full Text Available There are fewer longitudinal studies from China on symptoms as described for the sick building syndrome (SBS. Here, we performed a two-year prospective study and investigated associations between environmental parameters such as room temperature, relative air humidity (RH, carbon dioxide (CO2, nitrogen dioxide (NO2, sulphur dioxide (SO2, ozone (O3, particulate matter (PM10, and health outcomes including prevalence, incidence and remission of SBS symptoms in junior high schools in Taiyuan, China. Totally 2134 pupils participated at baseline, and 1325 stayed in the same classrooms during the study period (2010-2012. The prevalence of mucosal symptoms, general symptoms and symptoms improved when away from school (school-related symptoms was 22.7%, 20.4% and 39.2%, respectively, at baseline, and the prevalence increased during follow-up (P<0.001. At baseline, both indoor and outdoor SO2 were found positively associated with prevalence of school-related symptoms. Indoor O3 was shown to be positively associated with prevalence of skin symptoms. At follow-up, indoor PM10 was found to be positively associated with new onset of skin, mucosal and general symptoms. CO2 and RH were positively associated with new onset of mucosal, general and school-related symptoms. Outdoor SO2 was positively associated with new onset of skin symptoms, while outdoor NO2 was positively associated with new onset of skin, general and mucosal symptoms. Outdoor PM10 was found to be positively associated with new onset of skin, general and mucosal symptoms as well as school-related symptoms. In conclusion, symptoms as described for SBS were commonly found in school children in Taiyuan City, China, and increased during the two-year follow-up period. Environmental pollution, including PM10, SO2 and NO2, could increase the prevalence and incidence of SBS and decrease the remission rate. Moreover, parental asthma and allergy (heredity and pollen or pet allergy (atopy can be risk

  17. Mass and chemical composition of size-segregated aerosols (PM1, PM2.5, PM10 over Athens, Greece: local versus regional sources

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    N. Mihalopoulos

    2011-11-01

    Full Text Available To identify the relative contribution of local versus regional sources of particulate matter (PM in the Greater Athens Area (GAA, simultaneous 24-h mass and chemical composition measurements of size segregated particulate matter (PM1, PM2.5 and PM10 were carried out from September 2005 to August 2006 at three locations: one urban (Goudi, Central Athens, "GOU", one suburban (Lykovrissi, Athens, "LYK" in the GAA and one at a regional background site (Finokalia, Crete, "FKL". The two stations in the GAA exceeded the EU-legislated PM10 limit values, both in terms of annual average (59.0 and 53.6 μg m−3 for Lykovrissi and Goudi, respectively and of 24-h value. High levels of PM2.5 and PM1 were also found at both locations (23.5 and 18.6 for Lykovrissi, while 29.4 and 20.2 μg m−3 for Goudi, respectively. Significant correlations were observed between the same PM fractions at both GAA sites indicating important spatial homogeneity within GAA. During the warm season (April to September, the PM1 ratio between GAA and FKL ranged from 1.1 to 1.3. On the other hand this ratio was significantly higher (1.6–1.7 during the cold season (October to March highlighting the role of long-range transport and local sources during the warm and cold seasons respectively. Regarding the coarse fraction no seasonal trend was observed for both GAA sites with their ratio (GAA site/FKL being higher than 2 indicating significant contribution from local sources such as soil and/or road dust. Chemical speciation data showed that on a yearly basis, ionic and crustal mass represent up to 67–70% of the gravimetrically determined mass for PM10 samples in the GAA and 67% for PM1 samples in LYK. The unidentified mass might be attributed to organic matter (OM and elemental carbon (EC, in agreement with the results reported by earlier studies in central Athens. At all sites, similar seasonal patterns were observed for nss-SO42−, a secondary compound, indicating significant

  18. Spatiotemporal estimation of historical PM2.5 concentrations using PM10, meteorological variables, and spatial effect

    Science.gov (United States)

    Li, Lianfa; Wu, Anna H.; Cheng, Iona; Chen, Jiu-Chiuan; Wu, Jun

    2017-10-01

    Monitoring of fine particulate matter with diameter estimate historical PM2.5 concentrations by incorporating spatial effect and the measurements of existing co-pollutants such as particulate matter with diameter PM10) and meteorological variables. Monitoring data of PM10, PM2.5, and meteorological variables covering the entire state of California were obtained from 1999 through 2013. We developed a spatiotemporal model that quantified non-linear associations between PM2.5 concentrations and the following predictor variables: spatiotemporal factors (PM10 and meteorological variables), spatial factors (land-use patterns, traffic, elevation, distance to shorelines, and spatial autocorrelation), and season. Our model accounted for regional-(county) scale spatial autocorrelation, using spatial weight matrix, and local-scale spatiotemporal variability, using local covariates in additive non-linear model. The spatiotemporal model was evaluated, using leaving-one-site-month-out cross validation. Our final daily model had an R2 of 0.81, with PM10, meteorological variables, and spatial autocorrelation, explaining 55%, 10%, and 10% of the variance in PM2.5 concentrations, respectively. The model had a cross-validation R2 of 0.83 for monthly PM2.5 concentrations (N = 8170) and 0.79 for daily PM2.5 concentrations (N = 51,421) with few extreme values in prediction. Further, the incorporation of spatial effects reduced bias in predictions. Our approach achieved a cross validation R2 of 0.61 for the daily model when PM10 was replaced by total suspended particulate. Our model can robustly estimate historical PM2.5 concentrations in California when PM2.5 measurements were not available.

  19. MUTAGENIC AND CYTOTOXIC FACTORS IN PM10 AND PM2.5 FRACTIONS IN ATMOSPHERE IN SOSNOWIEC

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    Agnieszka Kozłowska

    2011-12-01

    Full Text Available Air dust pollution enters human body via respiratory system. Its cytotoxic effect is surveyed using cell lines of mononuclear or pulmonary epithelial cell origins. Mutagenic properties are assessed using short-term assay on Salmonella typhimurium bacterial strains. Mutagenic and cytotoxic properties of air dust pollution – fractions PM10 and PM2.5, which were collected in autumn and in winter, were assessed using Ames test with Salmonella typhimurium strains and MTT cytoxicity assay on mononuclear cell line RAW 264.7, respectively. Samples of dust were collected on glass fiber filters by (Harvard impactor with air flow ca. 9 l/min, splitting samples to the fraction PM10 and PM2.5. Extraction of pollution was carried out using dichlorometane. Extracted samples were dissolved in dimethylsulfoxide (DMSO before analyses. The highest value of mutagenicity ratio (MR was observed in YG1041 strain with metabolic activation by S9 extract in the PM10 sample of dust collected in winter. The lowest one was observed in TA98 strain without activation in the PM2.5 sample of dust collected in autumn. Winter dust samples, both the fractions PM10 and PM2,5, were toxic for TA98 strain in both test conditions (5S9. MTT cytotoxicity assay using mononuclear cell line RAW 264.7 showed that fractions PM10 and PM2.5 collected in winter were of highest toxic properties. The viability of cells, which were treated with samples of 0,312 m3 air, were 1,7% and 1,6%, respectively, while for autumn samples for PM2,5 the viability was 63%.

  20. Temporal multiscaling characteristics of particulate matter PM 10 and ground-level ozone O3 concentrations in Caribbean region

    Science.gov (United States)

    Plocoste, Thomas; Calif, Rudy; Jacoby-Koaly, Sandra

    2017-11-01

    A good knowledge of the intermittency of atmospheric pollutants is crucial for air pollution management. We consider here particulate matter PM 10 and ground-level ozone O3 time series in Guadeloupe archipelago which experiments a tropical and humid climate in the Caribbean zone. The aim of this paper is to study their scaling statistics in the framework of fully developed turbulence and Kolmogorov's theory. Firstly, we estimate their Fourier power spectra and consider their scaling properties in the physical space. The power spectra computed follows a power law behavior for both considered pollutants. Thereafter we study the scaling behavior of PM 10 and O3 time series. Contrary to numerous studies where the multifractal detrended fluctuation analysis is frequently applied, here, the classical structure function analysis is used to extract the scaling exponent or multifractal spectrum ζ(q) ; this function provides a full characterization of a process at all intensities and all scales. The obtained results show that PM 10 and O3 possess intermittent and multifractal properties. The singularity spectrum MS(α) also confirms both pollutants multifractal features. The originality of this work comes from a statistical modeling performed on ζ(q) and MS(α) by a lognormal model to compute the intermittency parameter μ. By contrast with PM 10 which mainly depends on puffs of Saharan dust (synoptic-scale), O3 is more intermittent due to variability of its local precursors. The results presented in this paper can help to better understand the mechanisms governing the dynamics of PM 10 and O3 in Caribbean islands context.

  1. Characterization of ionic composition of TSP and PM10 during the Middle Eastern Dust (MED) storms in Ahvaz, Iran.

    Science.gov (United States)

    Shahsavani, Abbas; Naddafi, Kazem; Jaafarzadeh Haghighifard, Nematollah; Mesdaghinia, Alireza; Yunesian, Masud; Nabizadeh, Ramin; Arhami, Mohamad; Yarahmadi, Maryam; Sowlat, Mohammad Hossein; Ghani, Maryam; Jonidi Jafari, Ahmad; Alimohamadi, Mahmood; Motevalian, Seyed Abbas; Soleimani, Zahra

    2012-11-01

    Because of the recent frequent observations of major dust storms in southwestern cities in Iran such as Ahvaz, and the importance of the ionic composition of particulate matters regarding their health effects, source apportionment, etc., the present work was conducted aiming at characterizing the ionic composition of total suspended particles (TSP) and particles on the order of ∼10 μm or less (PM(10)) during dust storms in Ahvaz in April-September 2010. TSP and PM(10) samples were collected and their ionic compositions were determined using an ion chromatography. Mean concentrations of TSP and PM(10) were 1,481.5 and 1,072.9 μg/m(3), respectively. Particle concentrations during the Middle Eastern Dust (MED) days were up to four times higher than those in normal days. Ionic components contributed to only 9.5% and 11.3% of the total mass of TSP and PM(10), respectively. Crustal ions were most abundant during dust days, while secondary ions were dominant during non-dust days. Ca(2+)/Na(+) and Cl(-)/Na(+) ratios can be considered as the indicators for identification of the MED occurrence. It was found that possible chemical forms of NaCl, (NH(4))(2)SO(4), KCl, K(2)SO(4), CaCl(2), Ca(NO(3))(2), and CaSO(4) may exist in TSP. Correlation between the anionic and cationic components suggests slight anion and cation deficiencies in TSP and PM(10) samples, though the deficiencies were negligible.

  2. Seasonal trends and spatial variations of PM10-bounded polycyclic aromatic hydrocarbons in Veneto Region, Northeast Italy

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    Masiol, Mauro; Formenton, Gianni; Pasqualetto, Alberto; Pavoni, Bruno

    2013-11-01

    The Veneto Region extends for ˜18.4·103 km2 in the northeastern part of the Po Valley and includes mountains, hills, plain and coastal environments with very different and discontinuous anthropogenic pressures. Although many efforts have been made to mitigate air pollution, the European air quality standards for atmospheric pollutants are frequently breached. This study investigates the levels of eight PM10-bound PAHs collected in 21 stations categorized as rural background, urban and suburban backgrounds, traffic and industrial hot-spots during one year (2011). Data were statistically processed to detect the PAH seasonal trends, their relationship with other air pollutants and micro-meteorological parameters and the space variations at a regional scale. Results show that PAHs levels are relatively high in the largest part of the region, with 10 sites exceeding the levels of BaP targeted by the European legislation. Two sites exhibited anomalously high PAHs concentrations and this anomaly became even more evident when considering the population density as a surrogate for the potential anthropogenic pressure. The PAHs levels were found directly proportional to other gaseous pollutants (CO, NO, NOx, SO2) suggesting common polluting sources. The analysis of time trends of PAH concentrations reveals significant coincidences throughout the region, i.e. simultaneous changes are observed in most sites as a consequence of similar emission sources and accumulation/removal processes. In this scenario, the control strategies currently imposed at local level (e.g. traffic limitations) have proven scarcely effective in mitigating air pollution and a real coordination at regional or even interregional level cannot be further postponed. Peculiar features of the PAHs pollution in the Veneto were also identified and some measures for protecting the human health were suggested.

  3. Polycyclic aromatic hydrocarbons and trace elements bounded to airborne PM10 in the harbor of Volos, Greece: Implications for the impact of harbor activities

    Science.gov (United States)

    Manoli, E.; Chelioti-Chatzidimitriou, A.; Karageorgou, K.; Kouras, A.; Voutsa, D.; Samara, C.; Kampanos, I.

    2017-10-01

    Harbors are often characterized by high levels of air pollutants that are emitted from ship traffic and other harbor activities. In the present study, the concentrations of Polycyclic Aromatic Hydrocarbons (PAHs) and trace elements (As, Cd, Ni, Pb, Cr, Mn, Zn, and Fe) bounded to the inhalable particulate matter PM10 were studied in the harbor of Volos, central Greece, during a 2-year period (2014-2015). Seasonal and daily variations were investigated. Moreover, total carcinogenic and mutagenic activities of PAHs were calculated. The effect of major wind sectors (sea, city, industrial, harbor) was estimated to assess the potential contribution of ship traffic and harbor activities, such as scrap metal handling operations. Results showed that the harbor sector (calm winds ≤ 0.5 m s-1) was associated with the highest concentrations of PM10. The harbor sector was also associated with relatively increased levels of trace elements (As, Fe, Cr, Mn, Ni), however the effect of this sector was lower than the corresponding effect of the industrial wind sector. The sea sector showed only a slight increase in B[a]Py and Σ12PAHs, whereas the highest increasing effect for PAHs and traffic-related elements, such as Pb and Zn, was evidenced for the city sector.

  4. Source apportionment of PM 10 at residential and industrial sites of an urban region of Kolkata, India

    Science.gov (United States)

    Karar, Kakoli; Gupta, A. K.

    2007-03-01

    PM 10 and its chemical species mass concentrations were measured once in a week at residential (Kasba) and industrial (Cossipore) sites of an urban region of Kolkata for a period of 24 h during November 2003 to November 2004. At each monitoring site, 53 sets of daily average PM 10 samples were collected during the study period. Approximately 55% of the monitoring days are weekdays, while 45% are weekends. The PM 10 mass concentrations ranged from 68.2 to 280.6 μg m - 3 at the residential site, and 62.4 to 401.2 μg m - 3 at the industrial site. Polycyclic aromatic hydrocarbon compounds (PAH), fluoranthene (Fl), pyrene (Py), benzo(a)anthracene (BaA), benzo(b)fluoranthene (BbF) and benzo(a)pyrene (BaP) have been analyzed using Gas Chromatoghaphy. Metals in PM 10 deposited on quartz microfibre filter papers were measured using an Inductively Coupled Plasma-Atomic Emission Spectrometer. Chromium (Cr), zinc (Zn), lead (Pb), cadmium (Cd), nickel (Ni), manganese (Mn) and iron (Fe) are the seven toxic trace metals quantified from the measured PM 10 concentrations. Total carbon (TC), inorganic carbon (IC) and organic carbon (OC) were analyzed using a Carbon analyzer. Exposed quartz microfibre filter papers were also analyzed for water-soluble anions of fluoride (F -), chloride (Cl -), nitrate (NO 3-), phosphate (PO 43-) and sulfate (SO 42-) using ion chromatography. In this study, principal component analysis (PCA)/absolute principal component scores (APCS) model was applied to the mass concentrations of PM 10 and its chemical species. Principal component analysis with varimax rotation identified five possible sources; solid waste dumping, vehicular emission, coal combustion, cooking and soil dust at residential site. The extracted possible sources at the industrial site were vehicular emissions, coal combustion, electroplating industry, tyre wear and secondary aerosol. A quantitative estimation by principal component analysis-multiple linear regression (PCA-MLR) model

  5. Using operational active remote sensing devices to detect Saharan dust advections and evaluate their contribution to the PM10 levels: The EU LIFE+ "DIAPASON" project

    Science.gov (United States)

    Gobbi, Gian Paolo; Wille, Holger; Sozzi, Roberto; Barnaba, Francesca; Costabile, Francesca; Angelini, Federico; Frey, Steffen; Bolignano, Andrea; Morelli, Matteo

    2013-04-01

    The contribution of Saharan-dust advections to both daily and annual PM average mass concentrations can be significant all over Southern Europe. The Directive 2008/50/EC allows subtraction of PM10 exceedances caused by natural contributions from the statistic used to determine air-quality levels in Europe. To this purpose, the Commission Staff Working Paper 6771/11 (EC, 2011) provides specific Guidelines on methods to quantify and subtract the contribution of these sources in the framework of the Air Quality Directive. For Saharan dust, the EC methodology is largely based on a thorough analysis performed over the Iberian Peninsula (Escudero et al, 2007), although revision of the current methodology is in progress. In line with the EC Guidelines, the DIAPASON project ("Desert-dust Impact on Air quality through model-Predictions and Advanced Sensors ObservatioNs"), funded under the EC LIFE+ program, has been formulated to provide a robust, user-oriented, and demonstrated method to assess the presence of desert dust and evaluate its contribution to PM10 levels at the monitoring sites. To this end, in addition to satellite-based data and model forecasts already included in the EC Guidelines, DIAPASON will take advantage, in both the Project implementation and demonstration phase, of innovative and affordable technologies (partly prototyped within the project itself), namely operational Polarization Lidar-Ceilometers (PLC) capable of detecting and profiling dust clouds from the ground up to 10 km altitude. The PLC prototypes have been already finalized during the initial phase of the Project. Three of them will be networked in relevant air quality monitoring stations located in the Rome metropolitan area (Italy) during the DIAPASON observational phase (one-year long field campaign) starting in March 2013. The Rome region was chosen as the DIAPASON pilot scale area since highly impacted by urban pollution and frequently affected by Saharan dust transport events. In fact

  6. Influence of burning of fireworks on particle size distribution of PM10 and associated barium at Nagpur.

    Science.gov (United States)

    Khaparde, Vaishali V; Pipalatkar, Pradeep P; Pustode, Tushar; Rao, C V Chalapati; Gajghate, Daulat G

    2012-01-01

    Influence of burning of fireworks on particle size distribution of PM(10) and associated barium (Ba) were studied at a congested residential cum commercial area of Nagpur city, India. Sampling was carried out by cascade impactor having 50% cut-off aerodynamic diameters of fireworks activity was lower near the site. Trimodal distribution of Ba was observed on the first 2 days of diwali at 0.4-2.1, 2.1-4.7, and 4.7 to less than PM(10) micrometer range. While on the third day, it appeared bimodal with 70% contribution in coarse fraction whereas on the fourth day, distribution appeared unimodal with 66% contribution in alveolar region (fireworks used on different days and distance between the burning of firecrackers from the monitoring site.

  7. Characterization of PM10 and PM2.5 and Their Metals Content in Different Typologies of Sites in South-Eastern Italy

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    Daniele Contini

    2014-06-01

    Full Text Available Samples of PM10 and PM2.5 were collected discontinuously between 2003 and 2010 at fifteen monitoring sites (urban, background, industrial in the south-eastern part of Italy using a mobile laboratory. In total, 483 PM10 and 154 PM2.5 samples were collected and chemically analyzed for the determination of metal content. Data were used to investigate concentration differences among the typologies of sites, the seasonal patterns, and the influence of advection of Saharan dust (SD. PM10 and PM2.5 average concentrations increase from background to industrial and urban sites but the ratio PM2.5/PM10 is significantly lower (0.61 ± 0.10 in background sites. The average metals concentrations in PM10 and in PM2.5 do not show a clear dependence on site typology apart an increase in crustal elements in background sites and an increase in the enrichment factors of Ni and of Cr in PM10 in industrial sites. Urban sites show a statistically significant increase of PM10 average concentration during the cold seasons (autumn and winter, likely associated with the anthropogenic urban emissions, instead, the background sites show a decrease in concentrations during the cold seasons. This could be due to more frequent cases of SD observed in spring and summer periods that mainly influence background sites. The seasonal difference on the average concentration for industrial sites is not statistically significant. The SD cases influence both PM10 and PM2.5 concentrations but their effect is significantly larger on PM10. Over the studied area, the effect is relatively limited on long-term average PM10 (estimated increase of 3.2% and PM2.5 (estimated increase of 1.5% concentrations but it is significant on daily concentrations. It is estimated an increase of 22% of the probability to overcome the air quality standard daily threshold for PM10.

  8. Impacts of long-range transports of PM10 on air quality in Gwangju, South Korea using satellite and in-situ measured data

    Science.gov (United States)

    Park, R.; Han, K.; Song, C.; Kang, Y.; Jung, W.; Ahan, S.

    2013-12-01

    To investigate the impact of long-range transported particular matter on the city of Gwangju which is one of metropolitan cities in the South Korea and is located in the southwestern part of the Korean peninsula, the PM10 concentrations measured at six measurement sites in Gwangju area were used. A decadal trend (2002-2011) of PM10 was analyzed and then the monthly and daily variations of PM10 for the years of 2002, 2003, 2006, and 2011 were investigated. The events of long-range transport were selected from peaks of daily PM10 and were evaluated through 72-hours backward trajectory analysis using NOAA HYbrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model. In addition, the events were evaluated using Total Ozone Mapping Spectrometer (TOMS)-retrieved AI (Aerosol Index), Moderate Resolution Imaging Spectrometer (MODIS) and Geostationary Ocean Color Imager (GOCI)-retrieved Aerosol Optical Depth (AOD). Then the daily PM10 influenced by the long-range transport was filtered and the monthly variations calculated from the filtered daily PM10 and the daily PM10 influenced by the long-range transport were compared. For the year of 2002, up to ~50% of the PM10 concentration was influenced by Asian dust in March and April, respectively. In contrast, for the year of 2003, the impact of LRT on the PM10 concentrations were relatively small in the Gwangju areas. The monthly variations and annual mean values for 2002, 2003, 2006, and 2011, calculated from the filtered daily PM10, were similar and therefore, the annual variations of PM10 in Gwangju could be mainly affected by the long-range transport.

  9. Efecto del tiempo de exposición a PM10 en las urgencias por bronquitis aguda Effect of exposure time to PM10 on emergency admissions for acute bronchitis

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    Franz Muñoz

    2009-03-01

    Full Text Available Este trabajo analiza el efecto de las horas de exposición a PM10 en las urgencias diarias por bronquitis aguda, controlando por temperatura y humedad. El estudio fue realizado en seis sectores de la ciudad de Santiago, Chile, durante el período de invierno de los años 2002 al 2004, para lactantes ( 65 años. Analizamos el retraso de la respuesta mediante una función polinomial distributiva (pdl, incluida en un modelo lineal generalizado (GLM-pdl, y la estructura del efecto de la exposición, mediante modelos aditivos generalizados (GAM, utilizando regresión spline como técnica de estimación. Los resultados mostraron que al cuarto día de retardo, el efecto de la exposición fue mayor, especialmente en lactantes, y varió en la medida que incrementó la concentración atmosférica de PM10. El efecto de las horas de exposición a PM10 mostró una variación significativa, según el sector geográfico. Al estimar linealmente este efecto en el sector Oeste, notamos que el incremento de consultas diarias en lactantes fue de 3% por cada hora de exposición sobre os 150µg/m³.To study the health effect of air pollution, measured as particulate matter greater than 10mm in diameter (PM10, we analyzed the effect of daily hours of exposure on the number of urgency admissions for acute bronchitis, adjusting for temperature and humidity on the same day. The study was conducted in six regions of Santiago, Chile, during the winter of years 2002 to 2004, for infants and elders. The delay between pollution time series and disease was modeled using a polynomial distributed lag (PDL function included in a generalized linear model. The linearity assumption was evaluated using a smooth-spline model approach. The highest effect for exposure to PM10 was detected with 4 days of delay. For both groups, the effect of temperature was linear, but that of humidity was not. Air pollution effect varied according to level of exposure and geographic region, increasing

  10. Ambient endotoxin in PM10and association with inflammatory activity, air pollutants, and meteorology, in Chitwan, Nepal.

    Science.gov (United States)

    Mahapatra, Parth Sarathi; Jain, Sumeet; Shrestha, Sujan; Senapati, Shantibhusan; Puppala, Siva Praveen

    2018-03-15

    Endotoxin associated with ambient PM (particulate matter) has been linked to adverse respiratory symptoms, but there have been few studies of ambient endotoxin and its association with co-pollutants and inflammation. Our aim was to measure endotoxin associated with ambient PM 10 (particulate matter with aerodynamic diametermeteorology, co-pollutants, and inflammatory activity. PM 10 concentrations were recorded and filter paper samples were collected using E-samplers; PM 1, PM 2.5 , black carbon (BC), methane (CH 4 ), and carbon monoxide (CO) were also measured. The Limulus amebocyte lysate (LAL) assay was used for endotoxin quantification and the nuclear factor kappa B (NFκB) activation assay to assess inflammatory activity. The mean concentration of PM 10 at the different locations ranged from 136 to 189μg/m 3 , and of endotoxin from 0.29 to 0.53EU/m 3 . Pollutant presence was positively correlated with endotoxin. Apart from relative humidity, meteorological variations had no significant impact on endotoxin concentration. NF-κB activity was negatively correlated with endotoxin concentration. To the best of our knowledge, this study provides the first measurements of ambient endotoxin associated with PM 10 in Nepal. Endotoxin and co-pollutants were positively associated indicating a similar source. Endotoxin was negatively correlated with inflammatory activity as a result of a time-limited forest fire event during the sampling period. Studies of co-pollutants suggested that the higher levels of endotoxin related to biomass burning were accompanied by increased levels of anti-inflammatory agents, which suppressed the endotoxin inflammatory effect. Copyright © 2017. Published by Elsevier B.V.

  11. Analysis of source regions and meteorological factors for the variability of spring PM10 concentrations in Seoul, Korea

    Science.gov (United States)

    Lee, Jangho; Kim, Kwang-Yul

    2018-02-01

    CSEOF analysis is applied for the springtime (March, April, May) daily PM10 concentrations measured at 23 Ministry of Environment stations in Seoul, Korea for the period of 2003-2012. Six meteorological variables at 12 pressure levels are also acquired from the ERA Interim reanalysis datasets. CSEOF analysis is conducted for each meteorological variable over East Asia. Regression analysis is conducted in CSEOF space between the PM10 concentrations and individual meteorological variables to identify associated atmospheric conditions for each CSEOF mode. By adding the regressed loading vectors with the mean meteorological fields, the daily atmospheric conditions are obtained for the first five CSEOF modes. Then, HYSPLIT model is run with the atmospheric conditions for each CSEOF mode in order to back trace the air parcels and dust reaching Seoul. The K-means clustering algorithm is applied to identify major source regions for each CSEOF mode of the PM10 concentrations in Seoul. Three main source regions identified based on the mean fields are: (1) northern Taklamakan Desert (NTD), (2) Gobi Desert and (GD), and (3) East China industrial area (ECI). The main source regions for the mean meteorological fields are consistent with those of previous study; 41% of the source locations are located in GD followed by ECI (37%) and NTD (21%). Back trajectory calculations based on CSEOF analysis of meteorological variables identify distinct source characteristics associated with each CSEOF mode and greatly facilitate the interpretation of the PM10 variability in Seoul in terms of transportation route and meteorological conditions including the source area.

  12. Evaluation of a road dust suspension model for predicting the concentrations of PM 10 in a street canyon

    Science.gov (United States)

    Kauhaniemi, M.; Kukkonen, J.; Härkönen, J.; Nikmo, J.; Kangas, L.; Omstedt, G.; Ketzel, M.; Kousa, A.; Haakana, M.; Karppinen, A.

    2011-07-01

    We have slightly refined, evaluated and tested a mathematical model for predicting the vehicular suspension emissions of PM 10. The model describes particulate matter generated by the wear of road pavement, traction sand, and the processes that control the suspension of road dust particles into the air. However, the model does not address the emissions from the wear of vehicle components. The performance of this suspension emission model has been evaluated in combination with the street canyon dispersion model OSPM. We used data from a measurement campaign that was conducted in the street canyon Runeberg Street in Helsinki from 8 January to 2 May, 2004. The model reproduced fairly well the seasonal variation of the PM 10 concentrations, also during the time periods, when studded tyres and anti-skid treatments were commonly in use. For instance, the index of agreement (IA) was 0.83 for the time series of the hourly predicted and observed concentrations of PM 10. The predictions of the model were found to be sensitive to precipitation and street traction sanding. The main uncertainties in the predictions are probably caused by (i) the cleaning processes of the streets, which are currently not included in the model, (ii) the uncertainties in the estimation of the sanding days, and (iii) the uncertainties in the evaluation of precipitation. This study provides more confidence that this model could potentially be a valuable tool of assessment to evaluate and forecast the suspension PM 10 emissions worldwide. However, a further evaluation of the model is needed against other datasets in various vehicle fleet, speed and climatic conditions.

  13. Local PM10 and PM2.5 emission inventories from agricultural tillage and harvest in northeastern China.

    Science.gov (United States)

    Chen, Weiwei; Tong, Daniel Q; Zhang, Shichun; Zhang, Xuelei; Zhao, Hongmei

    2017-07-01

    Mineral particles or particulate matters (PMs) emitted during agricultural activities are major recurring sources of atmospheric aerosol loading. However, precise PM inventory from agricultural tillage and harvest in agricultural regions is challenged by infrequent local emission factor (EF) measurements. To understand PM emissions from these practices in northeastern China, we measured EFs of PM10 and PM2.5 from three field operations (i.e., tilling, planting and harvesting) in major crop production (i.e., corn and soybean), using portable real-time PM analyzers and weather station data. County-level PM10 and PM2.5 emissions from agricultural tillage and harvest were estimated, based on local EFs, crop areas and crop calendars. The EFs averaged (107±27), (17±5) and 26mg/m2 for field tilling, planting and harvesting under relatively dry conditions (i.e., soil moisture <15%), respectively. The EFs of PM from field tillage and planting operations were negatively affected by topsoil moisture. The magnitude of PM10 and PM2.5 emissions from these three activities were estimated to be 35.1 and 9.8 kilotons/yr in northeastern China, respectively, of which Heilongjiang Province accounted for approximately 45%. Spatiotemporal distribution showed that most PM10 emission occurred in April, May and October and were concentrated in the central regions of the northeastern plain, which is dominated by dryland crops. Further work is needed to estimate the contribution of agricultural dust emissions to regional air quality in northeastern China. Copyright © 2016. Published by Elsevier B.V.

  14. Estimation of the temporal and spatial distribution of dust concentration over China by combining PM10 and conventional meteorological observations.

    Science.gov (United States)

    Zhao, Fengsheng; Li, Xiaoqing; Gai, Changsong; Gao, Wenhua

    2010-11-01

    In this paper, we will present a simple algorithm to estimate the temporal and spatial distribution of dust mass concentration by combining PM10 and conventional meteorological observations. The efficiency of the algorithm has been demonstrated by applying it to analyze the dust source, transport, and dissipation of the dust storm which occurred in the west region of Pa-tan-chi-lin Desert at 0200 BST 27 March, 2004.

  15. WRF prediction of two winter season Saharan dust events using PM10 concentrations: Boundary versus initial conditions

    Science.gov (United States)

    Jenkins, Gregory S.; Diokhane, Aminita Mbow

    2017-10-01

    During the northern hemisphere winter and spring seasons Saharan dust events overspreading West Africa are frequent and linked to mid-latitude interactions. The dust events have the ability to produce low visibilities, poor air quality and can promote respiratory disease. While a number of case studies have been undertaken, the ability to forecast Saharan dust events is largely unknown. To investigate this matter, we have performed hindcasts using the weather research and forecasting (WRF) model with the Goddard Chemistry Aerosols Radiation Transport (GOCART) module, with 6-h boundary conditions from the NOAA ' National Center for Environmental Prediction (NCEP) final analysis (FNL). We use observed and forecasted PM10 concentrations to evaluate the hindcasts. The hindcasts begin with different conditions 3-8 days before two Saharan dust events where the maximum Particulate matter at 10 microns (PM10) concentrations are observed on 20 January and 7 February 2012 in Dakar, Senegal. The results show that all hindcasts are able to capture the timing of the peak on 20 January but the maximum peak during the second dust event occurs one day prior to the observed peak on 7 February with similar pattern from satellite based aerosol optical depth (AOD) estimates. The hindcasts have positive biases in PM10 concentrations relative to the observations in Dakar Senegal. The hindcasts suggest that WRF model has the potential to effectively forecasts Saharan dust events in real-time forecasts, however, they must be evaluated against additional surface PM10 observations at varying locations, which are currently sparse over West Africa.

  16. Relevance of the economic crisis in chemical PM10 changes in a semi-arid industrial environment.

    Science.gov (United States)

    Santacatalina, Milagros; Yubero, Eduardo; Mantilla, Enrique; Carratalá, Adoración

    2012-11-01

    This paper shows the changes in PM(10) levels and chemical composition in a region in southeast Spain between two periods: September 2005-August 2006 and June 2008-May 2009. PM(10) levels in this arid region, with a great number of cement, ceramic and related industries, have decreased in the second period in concordance with the reduction of industrial production due to the economic crisis and the closure of a cement plant. Annual average levels of PM(10) decreased from 41 μg m(-3) in 2005 to 30 μg m(-3) in 2008 (27%) and to 23 μg m(-3) in 2009 (23%). The relative contribution of the different sources has not changed in the area in the latter period and the elements with mineral origin are the main components of the PM(10) composition. There is a reduction in the concentration of the components that have soil-related industries and crustal material resuspension as their main sources, mainly in the case of CO(3) (2-), Ca, Sr, Tl and Pb, but the seasonal patterns were the same in both periods. As a particular case, there is an uncoupling between the seasonal evolution of SO(2) and sulphates in the two study periods, which remarks the existence of a sulphate regional background that does not depend on SO(2) local emissions. The decrease of V, Ni and Tl levels reflects the reduction of the industrial activity during the crisis period, affecting mainly the ceramic sector characterised by a great decrease of Tl levels.

  17. Health Impact Assessment of PM10 and PM2.5 in 27 Southeast and East Asian Cities.

    Science.gov (United States)

    Yorifuji, Takashi; Bae, Sanghyuk; Kashima, Saori; Tsuda, Toshihide; Doi, Hiroyuki; Honda, Yasushi; Kim, Ho; Hong, Yun-Chul

    2015-07-01

    We aimed to evaluate the annual health impacts of particulate matter (PM) less than 10 μm diameter (PM10) and less than 2.5-μm diameter (PM2.5) in 27 cities in Southeast and East Asian countries (Japan, the Philippines, the Republic of Korea, Singapore, and Vietnam) for the year 2009 (n = 50,756,699). We estimated the number of cases attributable to long-term exposure. We used a scenario that reduced the annual mean values for PM10 and PM2.5 to 20 and 10 μg/m, respectively. A reduction in long-term exposure to PM10 and PM2.5 would have postponed 8% to 9% of all-cause mortality or about 37,000 deaths. One third of them were associated with cardiopulmonary mortality and one ninth of them were associated with lung cancer mortality. Current air pollution levels in Southeast and East Asian countries have a nonnegligible public health impact.

  18. Air quality in urban parking garages (PM10, major and trace elements, PAHs): Instrumental measurements vs. active moss biomonitoring

    Science.gov (United States)

    Vuković, Gordana; Aničić Urošević, Mira; Razumenić, Ivana; Kuzmanoski, Maja; Pergal, Miodrag; Škrivanj, Sandra; Popović, Aleksandar

    2014-03-01

    This study was performed in four parking garages in downtown of Belgrade with the aim to provide multi-pollutant assessment. Concentrations of 16 US EPA priority PAHs and Al, Ba, Ca, Cd, Co, Cr, Cu, Fe, K, Mg, Mn, Na, Ni, Pb, Sr and Zn were determined in PM10 samples. The carcinogenic health risk of employees' occupational exposure to heavy metals (Cd, Cr, Ni and Pb) and PAHs (B[a]A, Cry, B[b]F, B[k]F, B[a]P and DB[ah]A) was estimated. A possibility of using Sphagnum girgensohnii moss bags for monitoring of trace element air pollution in semi-enclosed spaces was evaluated as well. The results showed that concentrations of PM10, Cd, Ni and B[a]P exceeded the EU Directive target values. Concentration of Zn, Ba and Cu were two orders of magnitude higher than those measured at different urban sites in European cities. Cumulative cancer risk obtained for heavy metals and PAHs was 4.51 × 10-5 and 3.75 × 10-5 in M and PP, respectively; upper limit of the acceptable US EPA range is 10-4. In the moss, higher post-exposure than pre-exposure (background) element concentrations was observed. In comparison with instrumental monitoring data, similar order of abundances of the most elements in PM10 and moss samples was found. However, using of the S. girgensohnii moss bag technique in indoor environments needs further justification.

  19. Mutagenic and recombinagenic activity of airborne particulates, PM10 and TSP, organic extracts in the Drosophila wing-spot test

    Energy Technology Data Exchange (ETDEWEB)

    Rodrigues Dihl, Rafael [Programa de Pos Graduacao em Genetica e Biologia Molecular (PPGBM), Universidade Federal do Rio Grande do Sul, Porto Alegre, RS (Brazil); Grazielli Azevedo da Silva, Carla [Instituto de Quimica, Departamento de Quimica Organica, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS (Brazil); Souza do Amaral, Viviane; Reguly, Maria Luiza [Laboratorio de Diagnostico da Toxicidade Genetica (TOXIGEN), Programa de Pos Graduacao em Genetica e Toxicologia Aplicada (PPGGTA), Universidade Luterana do Brasil - ULBRA, Avenida Farroupilha 8001, 92420280 Canoas, RS (Brazil); Rodrigues de Andrade, Heloisa Helena [Laboratorio de Diagnostico da Toxicidade Genetica (TOXIGEN), Programa de Pos Graduacao em Genetica e Toxicologia Aplicada (PPGGTA), Universidade Luterana do Brasil -ULBRA, Avenida Farroupilha 8001, 92420280 Canoas, RS (Brazil)], E-mail: heloisa@ulbra.br

    2008-01-15

    The genotoxicity associated with air pollution in the city of Canoas, Rio Grande do Sul (Brazil), was assessed in November (spring) and January (summer). We applied the somatic mutation and recombination test (SMART) in Drosophila melanogaster in its standard version with normal bioactivation (ST) and in its variant with increased cytochrome P450-dependent biotransformation capacity (HB). The data indicated the genotoxicity of TSP and PM10 collected in November, in both ST and HB crosses. The genotoxic activity of the PM10 material in the spring sample was exclusively associated with the induction of mitotic recombination, whereas the TSP genetic toxicity was due to both recombinational as well as point and/or chromosomal mutation events. Considering PM10 collected in January, a positive response-100% (17.10 m{sup 3}/ml) concentration-was observed in the HB cross, which was not detected in the ST cross. - Drosophila Wing-Spot Test can be used for detection of airborne particulates mutagenesis.

  20. Ground-based characterization of aerosol spectral optical properties of haze and Asian dust episodes under Asian continental outflow during winter 2014

    Science.gov (United States)

    Jung, Jinsang; Yu, JeongAh; Lyu, Youngsook; Lee, Minhee; Hwang, Taekyung; Lee, Sangil

    2017-04-01

    Long-range transported (LRT) haze can affect the regional radiation budget and the air quality in areas downwind of the Asian continental outflow. Because in situ observations of spectral aerosol optical properties of the LRT haze are rare, an intensive characterization of aerosol optical properties is needed. This study characterized the spectral optical properties of the LRT haze and Asian dust originating from the Asian continent. Integrated chemical and optical measurements of aerosol particles were carried out in a downwind area of the Asian continental outflow (Daejeon, South Korea) during winter 2014. High concentrations of PM10 (particulate matter with a diameter ≤ 10 µm) and light scattering coefficients at 550 nm, σs, 550, were observed during a long-range transport (LRT) haze episode (PM10 = 163.9 ± 25.0 µg m-3; σs, 550 = 503.4 ± 60.5 Mm-1) and Asian dust episode (PM10 = 211.3 ± 57.5 µg m-3; σs, 550 = 560.9 ± 151 Mm-1). During the LRT haze episode, no significant change in the relative contribution of PM2. 5 (particulate matter with a diameter ≤ 2.5 µm) chemical components was observed as particles accumulated under stagnant atmospheric conditions (13-17 January 2014), suggesting that the increase in PM2. 5 mass concentration was caused mainly by the accumulation of LRT pollutants. On the other hand, a gradual decrease in Ångström exponent (Å) and a gradual increase in single scattering albedo (ω) and mass scattering efficiency (MSE) were observed during the stagnant period, possibly due to an increase in particle size. These results imply that a change in particle size rather than chemical composition during the stagnant period is the dominant factor affecting the aerosol optical properties. During the Asian dust episode, a low PM2. 5 / PM10 ratio and Å(450/700) were observed with average values of 0.59 ± 0.06 and 1.08 ± 0.14, respectively, which were higher than those during the LRT haze episode (0.75 ± 0.06 and 1.39 ± 0

  1. Clinical high risk and first episode schizophrenia: Auditory event-related potentials

    Science.gov (United States)

    del Re, Elisabetta C.; Spencer, Kevin M.; Oribe, Naoya; Mesholam-Gately, Raquelle I.; Goldstein, Jill; Shenton, Martha E.; Petryshen, Tracey; Seidman, Larry J.; McCarley, Robert W.; Niznikiewicz, Margaret A.

    2014-01-01

    The clinical high risk (CHR) period is a phase denoting a risk for overt psychosis during which subacute symptoms often appear, and cognitive functions may deteriorate. To compare biological indices during this phase with those during first episode schizophrenia, we cross-sectionally examined sex- and age-matched clinical high risk (CHR, n=21), first episode schizophrenia patients (FESZ, n=20) and matched healthy controls (HC, n=25) on oddball and novelty paradigms and assessed the N100, P200, P3a and P3b as indices of perceptual, attentional and working memory processes. To our knowledge, this is the only such comparison using all of these event-related potentials (ERPs) in two paradigms. We hypothesized that the ERPs would differentiate between the three groups and allow prediction of a diagnostic group. The majority of ERPs were significantly affected in CHR and FESZ compared with controls, with similar effect sizes. Nonetheless, in logistic regression, only the P3a and N100 distinguished CHR and FESZ from healthy controls, suggesting that ERPs not associated with an overt task might be more sensitive to prediction of group membership. PMID:25557063

  2. Dynamics of the Typhoon Haitang Related High Ozone Episode over Hong Kong

    Directory of Open Access Journals (Sweden)

    Xiaolin Wei

    2016-01-01

    Full Text Available It has been previously established that photochemical smog occurring in the Pearl River Delta Region (PRD was associated with stagnant meteorological conditions. However, the photochemical smog (17 July to 20 July 2005 induced by typhoon Haitang was associated with moderate wind speed and nonstagnant meteorological conditions. The dynamic process of this ozone episode was studied using an integrated numerical model, that is, a mesoscale meteorological model and Community Multiscale Air Quality (CMAQ model. Model performance has been evaluated using both ground-based meteorological and air quality observations. Analysis of simulated wind fields and ozone budget has been performed. This dynamic process is summarized into three physical factors. First, the westerly wind placed Hong Kong directly downwind of the PRD emissions. Second, the convergence of wind flow stimulated a vertical local circulation near the surface layer. This recirculation allowed primary and secondary pollutants to accumulate. Third, the conditions of high air temperature and low humidity resulted in active photochemical reactions. These combined effects resulted in the formation of high ozone in this episode.

  3. Efecto del tiempo de exposición a PM10 en las urgencias por bronquitis aguda Effect of exposure time to PM10 on emergency admissions for acute bronchitis

    OpenAIRE

    Franz Muñoz; Marilia Sá Carvalho

    2009-01-01

    Este trabajo analiza el efecto de las horas de exposición a PM10 en las urgencias diarias por bronquitis aguda, controlando por temperatura y humedad. El estudio fue realizado en seis sectores de la ciudad de Santiago, Chile, durante el período de invierno de los años 2002 al 2004, para lactantes ( 65 años). Analizamos el retraso de la respuesta mediante una función polinomial distributiva (pdl), incluida en un modelo lineal generalizado (GLM-pdl), y la estructura...

  4. Preliminary comparative assessment of PM10 hourly measurement results from new monitoring stations type using stochastic and exploratory methodology and models

    Science.gov (United States)

    Czechowski, Piotr Oskar; Owczarek, Tomasz; Badyda, Artur; Majewski, Grzegorz; Rogulski, Mariusz; Ogrodnik, Paweł

    2018-01-01

    The paper presents selected preliminary stage key issues proposed extended equivalence measurement results assessment for new portable devices - the comparability PM10 concentration results hourly series with reference station measurement results with statistical methods. In article presented new portable meters technical aspects. The emphasis was placed on the comparability the results using the stochastic and exploratory methods methodology concept. The concept is based on notice that results series simple comparability in the time domain is insufficient. The comparison of regularity should be done in three complementary fields of statistical modeling: time, frequency and space. The proposal is based on model's results of five annual series measurement results new mobile devices and WIOS (Provincial Environmental Protection Inspectorate) reference station located in Nowy Sacz city. The obtained results indicate both the comparison methodology completeness and the high correspondence obtained new measurements results devices with reference.

  5. Breathlessness at High Altitude: First Episode of Bronchoconstriction in an Otherwise Healthy Sojourner.

    Science.gov (United States)

    Bhandari, Sanjeeb Sudarshan; Koirala, Pranawa; Lohani, Sadichhya; Phuyal, Pratibha; Basnyat, Buddha

    2017-06-01

    Bhandari, Sanjeeb Sudarshan, Pranawa Koirala, Sadichhya Lohani, Pratibha Phuyal, and Buddha Basnyat. Breathlessness at high altitude: first episode of bronchoconstriction in an otherwise healthy sojourner. High Alt Med Biol.. 18:179-181, 2017-High-altitude illness is a collective term for less severe acute mountain sickness and more severe high-altitude pulmonary edema (HAPE) and high-altitude cerebral edema, which we can experience while traveling to high altitude. These get better when we get down to the lower altitudes. People with many comorbidities also have been traveling to high altitudes from the dawn of civilization. Obstructive airway diseases can be confused with HAPE at high altitude. Asthma is one of those obstructive pulmonary diseases, but it is shown to get better with travel to the altitudes higher than the residing altitude. We present a case of 55-year-old nonsmoker, athletic, female, a lowland resident who developed difficulty breathing for the first time at high altitude. She did not get better with the descent to lower altitude and timely intake of acetazolamide. Her pulmonary function test showed obstructive airway pattern, which got better with salbutamol/ipratropium nebulization and oxygen.

  6. Indoor and outdoor PM10 levels at schools located near mine dumps in Gauteng and North West Provinces, South Africa.

    Science.gov (United States)

    Nkosi, Vusumuzi; Wichmann, Janine; Voyi, Kuku

    2017-01-06

    Few studies in South Africa have investigated the exposure of asthmatic learners to indoor and outdoor air pollution at schools. This study compared outdoor PM10 and SO2 exposure levels in exposed (1-2 km from gold mine dumps) and unexposed schools (5 km or more from gold mine dumps). It also examined exposure of asthmatic children to indoor respirable dust at exposed and unexposed schools. The study was conducted between 1 and 31 October 2012 in five schools from exposed and five from unexposed communities. Outdoor PM10 and SO2 levels were measured for 8-h at each school. Ten asthmatic learners were randomly selected from each school for 8-h personal respirable dust sampling during school hours. The level of outdoor PM10 for exposed was 16.42 vs. 11.47 mg.m-3 for the unexposed communities (p < 0.001). The outdoor SO2 for exposed was 0.02 ppb vs. 0.01 ppb for unexposed communities (p < 0.001). Indoor respirable dust in the classroom differed significantly between exposed (0.17 mg.m-3) vs. unexposed (0.01 mg.m-3) children with asthma at each school (p < 0.001). The significant differences between exposed and unexposed schools could reveal a serious potential health hazard for school children, although they were within the South African Air Quality Standards' set by the Department of Environmental Affairs. The indoor respirable dust levels in exposed schools could have an impact on children with asthma, as they were significantly higher than the unexposed schools, although there are no published standards for environmental exposure for children with asthma.

  7. An observational study of PM10 and hospital admissions for acute exacerbations of chronic respiratory disease in Tasmania, Australia 1992-2002.

    Science.gov (United States)

    Mészáros, D; Markos, J; FitzGerald, D G; Walters, E H; Wood-Baker, R

    2015-01-01

    Particulate matter with a diameter below 10 µ (PM10) has been a major concern in the Tamar Valley, Launceston, where wood heaters are extensively used. We examined the relationship between PM10 levels, meteorological variables, respiratory medications and hospital admissions for respiratory disease over the decade 1992-2002. PM10 levels were provided by the Department of Primary Industry Water, Parks and Environment, and meteorological variables from the Bureau of Meteorology. We obtained hospital discharge codes for the Launceston General Hospital. Poisson regression was used for statistical analyses. Mean daily PM10 levels declined from 50.7 to 16.5 μg/m(3). Hospitalisations for asthma decreased from 29 to 21 per month, whereas chronic obstructive pulmonary disease (COPD) increased and bronchitis/bronchiolitis remained unchanged. We found a 10 μg/m(3) increase in PM10 to be associated with a 4% increase in admissions for acute bronchitis/bronchiolitis (p0.05), but no association with asthma or COPD was found. All respiratory diseases showed seasonal patterns of hospitalisation. This is the first long-term study in Australia to demonstrate an association between PM10 levels and respiratory diseases. Reducing exposure to PM10 may decrease hospital admissions for respiratory diseases. Better preventive measures, including sustained public health initiatives to combat air pollution, are required to reduce respiratory morbidity.

  8. Characterization of PM10 chemical composition and its variability in relation to different sources in the central Mediterranean

    Science.gov (United States)

    Calzolai, Giulia; Nava, Silvia; Chiari, Massimo; Lucarelli, Franco; Becagli, Silvia; Traversi, Rita; Marconi, Miriam; Rugi, Francesco; Udisti, Roberto; di Sarra, Alcide; Pace, Giovanni; Meloni, Daniela; Bommarito, Carlo; Sferlazzo, Damiano

    2013-04-01

    Atmospheric aerosols are estimated to play a relevant role in climate change, also in relation to global warming and to the hydrological cycle; information on aerosol sources and impact are among the data needed to constrain uncertainties in climate change models. This is particularly important in the Mediterranean basin, whose atmosphere is heavily polluted and characterized by strong influences from both natural and anthropogenic emissions. An investigation aimed at assessing the aerosol sources affecting the Central Mediterranean basin has been carried out by applying the Positive Matrix Factorization (PMF) model to a 2-year long data set of PM10 mass concentration and chemical composition of samples collected on the island of Lampedusa (35.5° N, 12.6° E, 45 m a.s.l.). Lampedusa is an ideal site for this kind of studies, as it is far from continental pollution sources (the nearest coast, in Tunisia, is more than 100 km away). Samples were collected on a daily basis; after mass gravimetric measurements, different portions of the samples were analyzed for the ionic content by Ion Cromatography (IC), for soluble metals by Inductively Coupled Plasma Atomic Emission Spectrometer (ICP-AES), and for the total (soluble + insoluble) elemental composition by Particle Induced X-ray Emission (PIXE). Data from years 2007 and 2008 are used in this study. Seven sources were resolved: sea-salt, mineral dust, biogenic emissions, primary ship emissions, secondary sulphate, secondary nitrate, and biomass burning emissions. The chemical profiles of each source were identified and compared with literature data; the temporal evolution of each source was studied, in relation to seasonal changes and influence of different source regions. Air mass backward trajectories were also used in the analysis. Daily absolute and relative contributions of the aerosol produced by each of the seven resolved sources to the PM10 in Lampedusa were also obtained. On average, each of the sources

  9. Efecto del tiempo de exposición a PM10 en las urgencias por bronquitis aguda

    OpenAIRE

    Muñoz, Franz; Carvalho,Marilia Sá

    2009-01-01

    Este trabajo analiza el efecto de las horas de exposición a PM10 en las urgencias diarias por bronquitis aguda, controlando por temperatura y humedad. El estudio fue realizado en seis sectores de la ciudad de Santiago, Chile, durante el período de invierno de los años 2002 al 2004, para lactantes ( 65 años). Analizamos el retraso de la respuesta mediante una función polinomial distributiva (pdl), incluida en un modelo lineal generalizado (GLM-pdl), y la estructura...

  10. Odor, gaseous and PM10 emissions from small scale combustion of wood types indigenous to Central Europe.

    Science.gov (United States)

    Kistler, Magdalena; Schmidl, Christoph; Padouvas, Emmanuel; Giebl, Heinrich; Lohninger, Johann; Ellinger, Reinhard; Bauer, Heidi; Puxbaum, Hans

    2012-05-01

    In this study, we investigated the emissions, including odor, from log wood stoves, burning wood types indigenous to mid-European countries such as Austria, Czech Republic, Hungary, Slovak Republic, Slovenia, Switzerland, as well as Baden-Württemberg and Bavaria (Germany) and South Tyrol (Italy). The investigations were performed with a modern, certified, 8 kW, manually fired log wood stove, and the results were compared to emissions from a modern 9 kW pellet stove. The examined wood types were deciduous species: black locust, black poplar, European hornbeam, European beech, pedunculate oak (also known as "common oak"), sessile oak, turkey oak and conifers: Austrian black pine, European larch, Norway spruce, Scots pine, silver fir, as well as hardwood briquettes. In addition, "garden biomass" such as pine cones, pine needles and dry leaves were burnt in the log wood stove. The pellet stove was fired with softwood pellets. The composite average emission rates for log wood and briquettes were 2030 mg MJ-1 for CO; 89 mg MJ-1 for NOx, 311 mg MJ-1 for CxHy, 67 mg MJ-1 for particulate matter PM10 and average odor concentration was at 2430 OU m-3. CO, CxHy and PM10 emissions from pellets combustion were lower by factors of 10, 13 and 3, while considering NOx - comparable to the log wood emissions. Odor from pellets combustion was not detectable. CxHy and PM10 emissions from garden biomass (needles and leaves) burning were 10 times higher than for log wood, while CO and NOx rise only slightly. Odor levels ranged from not detectable (pellets) to around 19,000 OU m-3 (dry leaves). The odor concentration correlated with CO, CxHy and PM10. For log wood combustion average odor ranged from 536 OU m-3 for hornbeam to 5217 OU m-3 for fir, indicating a considerable influence of the wood type on odor concentration.

  11. Mapping of airborne dust in a data centre located at Fet. Measurement of PM10 and PM2.5.

    OpenAIRE

    Uggerud, Hilde Thelle

    2017-01-01

    NILU fikk i oppdrag av Digiplex å kartlegge forekomsten av svevestøv i deres datasenter på Fet, Romerike. Formålet med prosjektet var å kartlegge svevestøvkonsentrasjonen (PM10 og PM2,5) i korridoren og datahallene, samt å vurdere konsentrasjonene mot Folkehelseinstituttets (FHI) anbefalte faglige normer for inneklima og Arbeidstilsynets Forskrift om tiltaks- og grenseverdier. Generelt er det målt svært lave konsentrasjoner for begge partikkelfraksjonene. Alle de målte konsentrasjonene av PM2...

  12. EVALUATION OF AIR POLLUTION FROM ROVINARI (GORJ WITH SUBSTANCES IN SOSPENSION (PM10 AS A RESULT OF AUTO TRAFFIC

    Directory of Open Access Journals (Sweden)

    Emil Cătălin ŞCHIOPU

    2016-12-01

    Full Text Available The paper presents a short introduction of the impact that auto transportation has on air quality and on the main pollutants resulting from fuel burning in the engines with internal combustion. Also here are presented the results obtained as a result of monitoring substances in suspension, fraction PM10, realized in the proximity of the most important auto traffic roads of Rovinari. The comparison of the results obtained was realized according to Law 104/2011 on the protection of ambient air quality

  13. Estimation of health effects for PM10 exposure using of Air Q model in Ahvaz City during 2009

    OpenAIRE

    Gh. Goudarzi; Geravandi, S.; S Saeidimehr; Mohammadi, M.J.; M Vosoughi Niri; Sh Salmanzadeh; K Ahmadi Angali; A.K. Neisi; A. A. Babaei

    2015-01-01

    Background and Objectives: According to the estimates of W.H.O., approximately 150000 persons are annually affected by early death of cardiovascular, respiratory disease, and lung cancer resulted from air pollution in south Asia. The short-term and long-term effects are reported as hospital admission, consulting with a physician, number of special disease, death and years of life lost (YOLL). The purpose of this paper is to discuss the effects of PM10 pollution on human health. AirQ 2.2.3 (Ai...

  14. A nonlinear model for estimating ground-level PM10 concentration in Xi'an using MODIS aerosol optical depth retrieval

    Science.gov (United States)

    You, Wei; Zang, Zengliang; Zhang, Lifeng; Zhang, Mei; Pan, Xiaobin; Li, Yi

    2016-02-01

    Satellite measurements have been widely used to estimate particulate matters (PMs) on the ground and their effects on human health. However, such estimation is susceptible to meteorological conditions and may result in large errors. In this study, we developed a nonlinear empirical model for seasonal ground-level PM10 prediction in Xi'an, Shaanxi province of northwestern China. The nonlinear model is based on 3 years (2011-2013) of daily PM10 concentration data from 13 PM10 monitoring stations in Xi'an, aerosol optical depth (AOD) data derived from the Moderate Resolution Imaging Spectroradiometer (MODIS), surface meteorological measurements, and NCEP/NCAR reanalysis data. The nonlinear model corrects the AOD data using the height of plenary boundary layer and surface relative humidity, and further adjusts the corrected AOD according to visibility, surface temperature and surface wind speed. Our results show that there is almost a threefold improvement from 0.28 to 0.78 in the correlation coefficient when using the nonlinear model compared to using a linear regression model of AOD and PM10. The root-mean-square error (RMSE) is reduced from 34.42 to 21.33 μg/m3 using the nonlinear model over the linear model. Further analysis about meteorological variables shows that relative humidity and visibility are important factors to improve the relationship between AOD and PM10. The relationship between the predicted PM10 concentration from the nonlinear model and observed PM10 concentration is the best in winter, moderate in autumn and spring, and poor in summer. Further validation has shown that the nonlinear model is able to explain approximately 79% (R2 = 0.79, n = 270, p PM10 concentration with an RMSE of 11.7 μg/m3 and mean absolute percentage error of 14.2% based on monthly-mean data set. These results are useful for accessing surface PM10 concentration and monitoring regional air pollution.

  15. On the origin and variability of suspended particulate matter (PM1, PM2.5 and PM10) concentrations in Cyprus.

    Science.gov (United States)

    Pikridas, Michael; Vrekoussis, Mihalis; Mihalopoulos, Nikolaos; Kizas, Christos; Savvides, Chrysanthos; Sciare, Jean

    2017-04-01

    The Eastern Mediterranean (EM) lies at the crossroad of three different continents (Europe, Asia, and Africa). EM is a densely populated region including several cities with 3M inhabitants or more (e.g. Athens, Istanbul, Izmir, and Cairo). It has been identified as the most polluted area in Europe with respect to particulate matter (PM) mainly due to the combination of high photochemical activity, which causes pollutants to oxidize and partitioning in the particle phase, with the elevated pollutants emissions from neighboring regions. In addition, the proximity to Africa and the Middle East allows frequent transport of dust particles. At the center of the Eastern Mediterranean lies the island of Cyprus, which has received very little attention regarding its PM levels despite being the location in Europe most frequently impacted by air masses from the Middle East. Herewith, we present a historical PM archive that spans 2 decades. It involves ongoing monitoring on a daily basis of particulate matter with diameters smaller than 10 μm (PM10), 2.5 μm (PM2.5), and 1 μm (PM1) conducted in at least one, of the 12 currently existing air quality stations in Cyprus since 1997, 2005, and 2009, respectively. The most extended PM datasets correspond a) to the Agia Marina Xyliatou (AMX) monitoring station established at a remote area at the foothills of mount Troodos and b) that of the inland capital, Nicosia. Based on this long-term dataset, the diurnal, temporal and annual variability is assessed. Prior to 2010, PM10 concentration at all sites remained relatively constant, but at different levels, violating the annual EU legislated PM10 limit of 40 μg m-3. Since 2010, coarse mode levels have decreased at all sites. The reported decrease was equal to 30% at AMX. As a result, since 2010 the observed levels comply with the EU legislation threshold. Satellite observations of Aerosol Optical Thickness (AOT) Moderate Resolution Imaging Spectroradiometer (MODIS) onboard NASA

  16. Ionic and carbonaceous compositions of PM10, PM2.5 and PM1.0 at Gosan ABC Superstation and their ratios as source signature

    Directory of Open Access Journals (Sweden)

    S. Kim

    2012-02-01

    Full Text Available PM1.0, PM2.5, and PM10 were sampled at Gosan ABC Superstation on Jeju Island from August 2007 to September 2008. The carbonaceous aerosols were quantified with the thermal/optical reflectance (TOR method, which produced five organic carbon (OC fractions, OC1, OC2, OC3, OC4, and pyrolyzed organic carbon (OP, and three elemental carbon (EC fractions, EC1, EC2, and EC3. The mean mass concentrations of PM1.0, PM2.5, and PM10 were 13.7 μg m−3, 17.2 μg m−3, and 28.4 μg m−3, respectively. The averaged mass fractions of OC and EC were 23.0% and 10.4% for PM1.0, 22.9% and 9.8% for PM2.5, and 16.4% and 6.0% for PM10. Among the OC and EC sub-components, OC2 and EC2+3 were enriched in the fine mode, but OC3 and OC4 in the coarse mode. The filter-based PM1.0 EC agreed well with black carbon (BC measured by an Aethalometer, and PM10 EC was higher than BC, implying less light absorption by larger particles. EC was well correlated with sulfate, resulting in good relationships of sulfate with both aerosol scattering coefficient measured by Nephelometer and BC concentration. Our measurements of EC confirmed the definition of EC1 as char-EC emitted from smoldering combustion and EC2+3 as soot-EC generated from higher-temperature combustion such as motor vehicle exhaust and coal combustion (Han et al., 2010. In particular, EC1 was strongly correlated with potassium, a traditional biomass burning indicator, except during the summer, when the ratio of EC1 to EC2+3 was the lowest. We also found the ratios of major chemical species to be a useful tool to constrain the main sources of aerosols, by which the five air masses were well distinguished: Siberia, Beijing, Shanghai, Yellow Sea, and East Sea types. Except Siberian air, the continental background of the study region, Beijing plumes showed the highest EC1 (and OP to sulfate ratio, which implies that this air mass had the highest net warming by aerosols of the four air masses. Shanghai-type air, which was

  17. Comparisons of urban and rural PM10-2.5 and PM2.5 mass concentrations and semi-volatile fractions in northeastern Colorado

    OpenAIRE

    Clements, Nicholas; Hannigan, Michael P.; Miller, Shelly L.; Jennifer L Peel; Milford, Jana B.

    2016-01-01

    Coarse (PM10−2.5) and fine (PM2.5) particulate matter in the atmosphere adversely affect human health and influence climate. While PM2.5 is relatively well studied, less is known about the sources and fate of PM10−2.5. The Colorado Coarse Rural-Urban Sources and Health (CCRUSH) study measured PM10−2.5 and PM2.5 mass concentrations, as well as the fraction of semi-volatile material (SVM) in each size regime (SVM2.5, SVM10−2.5), from 2009 to early 2012 in Denver and compara...

  18. Exposure of bakery and pastry apprentices to airborne flour dust using PM2.5 and PM10 personal samplers

    Directory of Open Access Journals (Sweden)

    Paris Christophe

    2007-11-01

    Full Text Available Abstract Background This study describes exposure levels of bakery and pastry apprentices to flour dust, a known risk factor of occupational asthma. Methods Questionnaires on work activity were completed by 286 students. Among them, 34 performed a series of two personal exposure measurements using a PM2.5 and PM10 personal sampler during a complete work shift, one during a cold ("winter" period, and the other during a hot ("summer" period. Results Bakery apprentices experience greater average PM2.5 and PM10 exposures than pastry apprentices (p 10 values among bakers = 1.10 mg.m-3 [standard deviation: 0.83] than in summer (0.63 mg.m-3 [0.36]. While complying with current European occupational limit values, these exposures exceed the ACGIH recommendations set to prevent sensitization to flour dust (0.5 mg.m-3. Over half the facilities had no ventilation system. Conclusion Young bakery apprentices incur substantial exposure to known airways allergens, a situation that might elicit early induction of airways inflammation.

  19. Source Apportionment of PM10-Bound Polycyclic Aromatic Hydrocarbons by Positive Matrix Factorization in Córdoba City, Argentina.

    Science.gov (United States)

    Amarillo, Ana C; Mateos, Ana C; Carreras, Hebe

    2017-04-01

    The composition and concentration of polycyclic aromatic hydrocarbons (PAHs) adsorbed on particles smaller than 10 microns (PM10) were analyzed in an urban area during a 2-year period from August 2011 to August 2013. Diagnostic ratios (DR) and positive matrix factorization (PMF) were employed to assess emission sources. To discount weather influence, a multiple linear regression model was generated and also a photodecomposition index was calculated for each sample. Despite the fact that mean PM10 levels showed a similar pattern all around the year, majority of PAHs showed higher concentrations during the cold than the warm period, indicating a strong seasonal variation. A 38% of PAHs variation could be explained by meteorological variables, with wind speed, wind direction, and dew point being the significant regressor variables in the model. The source apportionment of PAHs was performed using PMF although they are photosensitive compounds. The sampling period was separated in warm and cold seasons according to a photodecomposition index and cold period was used. Also, DR were calculated. DR as well as PMF analysis suggested that both gasoline and diesel vehicular emissions are the main PAHs emission sources in this urban area.

  20. Seasonal and daily source apportionment of polycyclic aromatic hydrocarbon concentrations in PM10 in a semirural European area.

    Science.gov (United States)

    Van Drooge, Barend L; Pérez Ballesta, Pascual

    2009-10-01

    Polycyclic aromatic hydrocarbons (PAH) were analyzed from ambient air particulate matter (PM10) that was collected near Lago Maggiore (Lombardy) in Northern Italy from August 2008 to January 2009. Highest individual PAH concentrations ranged from 0.05 ng/m3 during mid-days in summer to about 6 ng/m3 duringthe nights of the coldest period. A multivariate experimental regression model for the estimation of PAH concentrations was used to apportion the identified local sources of PAHs. This model included specific markers (i.e., levoglucosan for wood combustion and hopanes for traffic emission) and meteorological parameters (i.e., ambient air temperature and atmospheric mixing layer heights). In autumn and winter, wood combustion on a daily average contributed from 30 to 70% to the PAHs in ambient air PM10. In this period, the contribution of the wood combustion was less than 30% during mid-day, increasing sometimes to more than 80% during the night In the samples taken during the summer period, traffic contribution to PAH concentrations was about 30%, while wood combustion was insignificant.

  1. Retrieval of aerosol mass load (PM10) from MERIS/Envisat top of atmosphere spectral reflectance measurements

    Science.gov (United States)

    Rohen, G. J.; von Hoyningen-Huene, W.; Kokhanovsky, A.; Dinter, T.; Vountas, M.; Burrows, J. P.

    2010-12-01

    A retrieval of particulate matter concentration (PM10) from satellite data is presented as well as improvements of the aerosol optical depth retrieval by the Bremen aerosol algorithm. The add-on retrieval of particulate matter uses the derivation of the effective radii from the Ångstroem exponents and an assumed log-normal size distribution function. The Ångstroem exponent is derived through the multi-channel approach using MERIS/Envisat data, and benefits from the fitting of a smooth spectral slope of aerosol optical depth and the surface reflectance. The advantage of the retrieval is that this retrieval of the aerosol mass, i.e., in particular the effective radius, is exclusively based on spectral information from satellite measurements, global aerosol models, and meteorological parameters. ECMWF Boundary layer height, humidity, temperature, and pressure data are used in the retrieval; a retrieval of PM inferred without meteorological information and a proper BRDF is shown to be not very promising. Over the city of Hamburg, the aerosol optical depths agree within a standard deviation of 0.03 and 0.068 for all thirteen wavelengths between 412 and 885 nm, compared with AERONET and ground based air quality measurements; the particulate matter concentrations show agreement with a correlation factor of 0.64. In addition to the urban site of Hamburg, comparisons of PM10 measurements over rural sites in Germany exhibit a correlation coefficient of 0.75.

  2. Characterisation of PM10 and PM2.5 particulate matter in the ambient air of Milan (Italy)

    Energy Technology Data Exchange (ETDEWEB)

    Marcazzan, Grazia M.; Vaccaro, Stefano; Valli, Gianluigi; Vecchi, Roberta [Milan Univ., Ist. di Fisica Generale Applicata, Milan (Italy)

    2001-07-01

    24-h simultaneous samplings of PM10 and PM2.5 particulate matter (PM) have been carried out during the period December 1997- September 1998 in the central urban area of Milan. The mass concentrations of the two fractions showed significant daily variations linked to different thermodynamics conditions of the planetary boundary layer (PBL) and characterised by higher values during wintertime. The elemental composition, determined by energy dispersive X-ray fluorescence technique, was quite different in the two fractions: in the finer one the presence of elements with crustal origin is reduced while the anthropogenic elements, with a relevant environmental and health impact, appear to be enriched. The composition data allowed a quantification of two major components of the atmospheric particulate: sulphates (mainly of secondary origin) and particles with crustal origin. An important but unmeasured component is likely constituted by organic and elemental carbon compounds. The multivariate analysis of elements, gaseous pollutants and mass concentration data-sets leads to the identification of four main sources contributing to PM10 and PM2.5 composition: vehicles exhaust emissions, resuspended crustal dust, secondary sulphates and industrial emissions. The existence of a possible background component with non-local origin is also suggested. (Author)

  3. Identification and elucidation of anthropogenic source contribution in PM10 pollutant: Insight gain from dispersion and receptor models.

    Science.gov (United States)

    Roy, Debananda; Singh, Gurdeep; Yadav, Pankaj

    2016-10-01

    Source apportionment study of PM10 (Particulate Matter) in a critically polluted area of Jharia coalfield, India has been carried out using Dispersion model, Principle Component Analysis (PCA) and Chemical Mass Balance (CMB) techniques. Dispersion model Atmospheric Dispersion Model (AERMOD) was introduced to simplify the complexity of sources in Jharia coalfield. PCA and CMB analysis indicates that monitoring stations near the mining area were mainly affected by the emission from open coal mining and its associated activities such as coal transportation, loading and unloading of coal. Mine fire emission also contributed a considerable amount of particulate matters in monitoring stations. Locations in the city area were mostly affected by vehicular, Liquid Petroleum Gas (LPG) & Diesel Generator (DG) set emissions, residential, and commercial activities. The experimental data sampling and their analysis could aid understanding how dispersion based model technique along with receptor model based concept can be strategically used for quantitative analysis of Natural and Anthropogenic sources of PM10. Copyright © 2016. Published by Elsevier B.V.

  4. Pollution Level, Sources, and Lung Cancer Risk of PM10-Bound Polycyclic Aromatic Hydrocarbons (PAHs in Summer in Nanjing, China

    Directory of Open Access Journals (Sweden)

    Shiqi Sun

    2016-01-01

    Full Text Available This study concentrated on the pollution level, sources, and lung cancer risk of PM10-bound polycyclic aromatic hydrocarbons (PAHs in summer in Nanjing, China. PM10 samples were collected in summer of the year 2015 in Nanjing. 16 USEPA (United States Environmental Protection Agency priority PAHs were extracted and analyzed after sampling. The mean concentrations of PAHs and BaPeq were 7.49±2.60 and 1.21±0.24 ng/m3, respectively, being in a middle level among results from regions worldwide. According to the results of diagnostic ratios, PAHs originated mainly from traffic exhaust, especially diesel vehicle emissions. Owing to the inhalation exposure, the median values of incremental lung cancer risk (ILCR were estimated to be 3.36×10-8, 2.50×10-8, 1.69×10-7, 2.54×10-8, 1.38×10-7, 1.18×10-7, 1.27×10-7, and 1.11×10-7 for boys, male adolescents, male adults, male seniors, girls, female adolescents, female adults, and female seniors, respectively, indicating low potential lung cancer risk.

  5. Assessment of population exposure to PM10 for respiratory disease in Lanzhou (China) and its health-related economic costs based on GIS.

    Science.gov (United States)

    Sun, Zhaobin; An, Xingqin; Tao, Yan; Hou, Qing

    2013-09-27

    Evaluation of the adverse health effects of PM10 pollution (particulate matter less than 10 microns in diameter) is very important for protecting human health and establishing pollution control policy. Population exposure estimation is the first step in formulating exposure data for quantitative assessment of harmful PM10 pollution. In this paper, we estimate PM10 concentration using a spatial interpolation method on a grid with a spatial resolution 0.01° × 0.01°. PM10 concentration data from monitoring stations are spatially interpolated, based on accurate population data in 2000 using a geographic information system. Then, an interpolated population layer is overlaid with an interpolated PM10 concentration layer, and population exposure levels are calculated. Combined with the exposure-response function between PM10 and health endpoints, economic costs of the adverse health effects of PM10 pollution are analyzed. The results indicate that the population in Lanzhou urban areas is distributed in a narrow and long belt, and there are relatively large population spatial gradients in the XiGu, ChengGuan and QiLiHe districts. We select threshold concentration C0 at: 0 μg m(-3) (no harmful health effects), 20 μg m(-3) (recommended by the World Health Organization), and 50 μg m(-3) (national first class standard in China) to calculate excess morbidity cases. For these three scenarios, proportions of the economic cost of PM10 pollution-related adverse health effects relative to GDP are 0.206%, 0.194% and 0.175%, respectively. The impact of meteorological factors on PM10 concentrations in 2000 is also analyzed. Sandstorm weather in spring, inversion layers in winter, and precipitation in summer are important factors associated with change in PM10 concentration. The population distribution by exposure level shows that the majority of people live in polluted areas. With the improvement of evaluation criteria, economic damage of respiratory disease caused by PM10 is

  6. Estimation of selected heavy metals and arsenic in PM10 aerosols in the ambient air of the Greater Athens Area, Greece.

    Science.gov (United States)

    Vassilakos, Ch; Veros, D; Michopoulos, J; Maggos, Th; O'Connor, C M

    2007-02-09

    Aerosol samples of PM(10) were collected during summer and winter 2003 at two different sites in the Messogia Basin northeast of Athens, to demonstrate the variations of heavy metals in PM(10) and examine their relationship with both gaseous pollutants and meteorological parameters. Estimated heavy metals during the experimental campaign were mercury (Hg), cadmium (Cd), lead (Pb), nickel (Ni) and arsenic (As). The average heavy metal concentrations for the first site (Spata) constituted 0.66-14.7ng/m(3) for the summer period and 0.14-19.5ng/m(3) for the winter period. At the second site (Koropi), the corresponding values varied between 0.89 and 13.3ng/m(3) and 0.16 and 24.7ng/m(3), respectively. PM(10) Hg, PM(10) Cd and PM(10) Ni contents showed regular daily variations, with higher mass percentages during the summer, indicating differences in local PM(10) sources for each season. On the contrary, PM(10) Pb presented higher mass percentages during the winter. Examination of the relationship between heavy metals and meteorological parameters indicated a higher correlation with temperature and relative humidity, especially for Pb. In addition, most of the heavy metals (apart from Hg) presented an expected correlation with nitrate oxides (NO(x)), PM(10) and ozone (O(3)). Higher correlations with both meteorological parameters and gaseous pollutants were observed during the winter experimental campaign. Maximum heavy metal concentrations at both sites were observed during days with NE or NNE prevailing winds during the summer campaign, while the winter period was characterized with maximums during days with W or WNW prevailing winds.

  7. 40 CFR Table C-3 to Subpart C of... - Test Specifications for Pb in TSP and Pb in PM10 Methods

    Science.gov (United States)

    2010-07-01

    ... 40 Protection of Environment 5 2010-07-01 2010-07-01 false Test Specifications for Pb in TSP and..., Subpt. C, Table C-3 Table C-3 to Subpart C of Part 53—Test Specifications for Pb in TSP and Pb in PM10 Methods Table C-3 to Subpart C of Part 53—Test Specifications for Pb in TSP and Pb in PM10 Methods...

  8. Episodic memory retrieval for story characters in high-functioning autism.

    Science.gov (United States)

    Komeda, Hidetsugu; Kosaka, Hirotaka; Saito, Daisuke N; Inohara, Keisuke; Munesue, Toshio; Ishitobi, Makoto; Sato, Makoto; Okazawa, Hidehiko

    2013-06-24

    The objective of this study was to examine differences in episodic memory retrieval between individuals with autism spectrum disorder (ASD) and typically developing (TD) individuals. Previous studies have shown that personality similarities between readers and characters facilitated reading comprehension. Highly extraverted participants read stories featuring extraverted protagonists more easily and judged the outcomes of such stories more rapidly than did less extraverted participants. Similarly, highly neurotic participants judged the outcomes of stories with neurotic protagonists more rapidly than did participants with low levels of neuroticism. However, the impact of the similarity effect on memory retrieval remains unclear. This study tested our 'similarity hypothesis', namely that memory retrieval is enhanced when readers with ASD and TD readers read stories featuring protagonists with ASD and with characteristics associated with TD individuals, respectively. Eighteen Japanese individuals (one female) with high-functioning ASD (aged 17 to 40 years) and 17 age- and intelligence quotient (IQ)-matched Japanese (one female) TD participants (aged 22 to 40 years) read 24 stories; 12 stories featured protagonists with ASD characteristics, and the other 12 featured TD protagonists. Participants read a single sentence at a time and pressed a spacebar to advance to the next sentence. After reading all 24 stories, they were asked to complete a recognition task about the target sentence in each story. To investigate episodic memory in ASD, we analyzed encoding based on the reading times for and readability of the stories and retrieval processes based on the accuracy of and response times for sentence recognition. Although the results showed no differences between ASD and TD groups in encoding processes, they did reveal inter-group differences in memory retrieval. Although individuals with ASD demonstrated the same level of accuracy as did TD individuals, their patterns

  9. Size fractionation in mercury-bearing airborne particles (HgPM 10) at Almadén, Spain: Implications for inhalation hazards around old mines

    Science.gov (United States)

    Moreno, Teresa; Higueras, Pablo; Jones, Tim; McDonald, Iain; Gibbons, Wes

    Almadén has a >2000y mining history and an unprecedented legacy of mercury contamination. Resuspended airborne particles were extracted from mine waste (Las Cuevas), retort site soil (Almadenejos), and urban car park dust (Almadén), separated into fine (PM 10) and coarse (PM >10 μm ) fractions, analysed for mercury using ICP-MS, and individual HgPM characterised using SEM. Cold extractable mercury concentrations in PM 10 range from 100 to 150 μg g -1 (car parks), to nearly 6000 μg g -1 (mine waste), reaching a world record of 95,000 μg g -1 above the abandoned retort at Almadenejos where ultrafine HgPM have pervaded the brickwork and soil and entered the food chain: edible wild asparagus stem material from here contains 35-65 μg g -1 Hg, and pig hair from animals living, inhaling and ingesting HgPM 10 at the site yielded 8-10 μg g -1. The PM 10 fraction (dusts easily wind transported and deeply inhaled) contains much more mercury than the coarser fraction. The contribution of HgPM 10 to ecosystem contamination and potential human health effects around old mercury mines has been underestimated.

  10. A study of PM2.5 and PM10 concentrations in the atmosphere of ...

    Indian Academy of Sciences (India)

    Due to rapid economic growth of the country in the last 25 years, particulate matter (PM) has become a topic of great interest in China. The rapid development of industry has led to an increase in the haze created by pollution, as well as by high levels of urbanization. In 2012, the Chinese National Ambient. Air Quality ...

  11. Sediment and PM10 flux from no-tillage cropping systems in the Pacific Northwest

    Science.gov (United States)

    Wind erosion is a concern in the Inland Pacific Northwest (PNW) United States where the emission of fine particulates from winter wheat – summer fallow (WW/SF) dryland cropping systems during high winds degrade air quality. Although no-tillage cropping systems are not yet economically viable, these ...

  12. Episodic High-velocity Outflows from V899 Mon: A Constraint On The Outflow Mechanisms

    Science.gov (United States)

    Ninan, J. P.; Ojha, D. K.; Philip, N. S.

    2016-07-01

    We report the detection of large variations in the outflow wind velocity from a young eruptive star, V899 Mon, during its ongoing high accretion outburst phase. Such large variations in the outflow velocity (from -722 to -425 km s-1) have never been reported previously in this family of objects. Our continuous monitoring of this source shows that the multi-component, clumpy, and episodic high velocity outflows are stable in the timescale of a few days, and vary over the timescale of a few weeks to months. We detect significant decoupling in the instantaneous outflow strength to accretion rate. From the comparison of various possible outflow mechanisms in magnetospheric accretion of young stellar objects, we conclude magnetically driven polar winds to be the most consistent mechanism for the outflows seen in V899 Mon. The large scale fluctuations in outflow over the short period makes V899 Mon the most ideal source to constrain various magnetohydrodynamics simulations of magnetospheric accretion. Based on observations made with the Southern African Large Telescope (SALT).

  13. study of $ PM_ {2.5} $ and $ PM_ {10} $ concentrations in the ...

    Indian Academy of Sciences (India)

    The rapid development of industry has led to an increase in the haze created by pollution, as well as by high levels of urbanization. In 2012, the Chinese National Ambient Air Quality Standard (NAAQS) imposed 'more strict' regulation on the PM concentrations, i.e., 35 and70 μg/m^3 for annual P M 2.5 and P M 10 in ...

  14. Source apportionment of PM10 mass and particulate carbon in the Kathmandu Valley, Nepal

    Science.gov (United States)

    Kim, Bong Mann; Park, Jin-Soo; Kim, Sang-Woo; Kim, Hyunjae; Jeon, Haeun; Cho, Chaeyoon; Kim, Ji-Hyoung; Hong, Seungkyu; Rupakheti, Maheswar; Panday, Arnico K.; Park, Rokjin J.; Hong, Jihyung; Yoon, Soon-Chang

    2015-12-01

    The Kathmandu Valley in Nepal is a bowl-shaped urban basin in the Himalayan foothills with a serious problem of fine particulate air pollution that impacts local health and impairs visibility. Particulate carbon concentrations have reached severe levels that threaten the health of 3.5 million local residents. Moreover, snow and ice on the Himalayan mountains are melting as a result of additional warming due to particulate carbon, especially high black carbon concentrations. To date, the sources of the Valley's particulate carbon and the impacts of different sources on particulate carbon concentrations are not well understood. Thus, before an effective control strategy can be developed, these particulate carbon sources must be identified and quantified. Our study has found that the four primary sources of particulate carbon in the Kathmandu Valley during winter are brick kilns, motor vehicles, fugitive soil dust, and biomass/garbage burning. Their source contributions are quantified using a recently developed new multivariate receptor model SMP. In contrast to other highly polluted areas such as China, secondary contribution is almost negligible in Kathmandu Valley. Brick kilns (40%), motor vehicles (37%) and biomass/garbage burning (22%) have been identified as the major sources of elemental carbon (black carbon) in the Kathmandu Valley during winter, while motor vehicles (47%), biomass/garbage burning (32%), and soil dust (13%) have been identified as the most important sources of organic carbon. Our research indicates that controlling emissions from motor vehicles, brick kilns, biomass/garbage burning, and soil dust is essential for the mitigation of the particulate carbon that threatens public health, impairs visibility, and influences climate warming within and downwind from the Kathmandu Valley. In addition, this paper suggests several useful particulate carbon mitigation methods that can be applied to Kathmandu Valley and other areas in South Asia with

  15. Retrieval of aerosol mass load (PM10 from MERIS/Envisat top of atmosphere spectral reflectance measurements over Germany

    Directory of Open Access Journals (Sweden)

    M. Vountas

    2011-03-01

    Full Text Available Results of a new methodology for retrievals of surface particulate matter concentration (PM10 from satellite reflectance measurements over Germany are presented in this paper. The retrieval derives effective radii from Ångström-α exponents and benefits from the fitting of a smooth spectral slope from seven MERIS spectrometer channels. Comparisons with ground measurements from the air quality surveillance show standard deviations of 33.9% with −18.9% bias over Hamburg. Over rural sites a standard deviation of 17.9% (bias 12.9% is reached. We discuss critically limitations and potential applications of the retrieval. Additionally, we talk about the aspects at comparing of retrieved particulate matter with ground station measurements.

  16. Influence of Saharan dust outbreaks and carbon content on oxidative potential of water-soluble fractions of PM2.5 and PM10

    Science.gov (United States)

    Chirizzi, Daniela; Cesari, Daniela; Guascito, Maria Rachele; Dinoi, Adelaide; Giotta, Livia; Donateo, Antonio; Contini, Daniele

    2017-08-01

    Exposure to atmospheric particulate matter (PM) leads to adverse health effects although the exact mechanisms of toxicity are still poorly understood. Several studies suggested that a large number of PM health effects could be due to the oxidative potential (OP) of ambient particles leading to high concentrations of reactive oxygen species (ROS). The contribution to OP of specific anthropogenic sources like road traffic, biomass burning, and industrial emissions has been investigated in several sites. However, information about the OP of natural sources are scarce and no data is available regarding the OP during Saharan dust outbreaks (SDO) in Mediterranean regions. This work uses the a-cellular DTT (dithiothreitol) assay to evaluate OP of the water-soluble fraction of PM2.5 and PM10 collected at an urban background site in Southern Italy. OP values in three groups of samples were compared: standard characterised by concentrations similar to the yearly averages; high carbon samples associated to combustion sources (mainly road traffic and biomass burning) and SDO events. DTT activity normalised by sampled air volume (DTTV), representative of personal exposure, and normalised by collected aerosol mass (DTTM), representing source-specific characteristics, were investigated. The DTTV is larger for high PM concentrations. DTTV is well correlated with secondary organic carbon concentration. An increased DTTV response was found for PM2.5 compared to the coarse fraction PM2.5-10. DTTV is larger for high carbon content samples but during SDO events is statistically comparable with that of standard samples. DTTM is larger for PM2.5 compared to PM10 and the relative difference between the two size fractions is maximised during SDO events. This indicates that Saharan dust advection is a natural source of particles having a lower specific OP with respect to the other sources acting on the area (for water-soluble fraction). OP should be taken into account in epidemiological

  17. Common cold among pre-school children in China - associations with ambient PM10 and dampness, mould, cats, dogs, rats and cockroaches in the home environment.

    Science.gov (United States)

    Norbäck, Dan; Lu, Chan; Zhang, Yinping; Li, Baizhan; Zhao, Zhuohui; Huang, Chen; Zhang, Xin; Qian, Hua; Sundell, Jan; Deng, Qihong

    2017-06-01

    There is some evidence that dampness, mould and cockroaches can increase the risk of respiratory infections in children but few studies exist from China on this topic. Aim To study associations between domestic early life exposure to biological indoor factors (dampness, mould, cats, dogs, rats, cockroaches), cleaning habits and common cold among pre-school children across China. Children aged 3-6years (n=39,782) were recruited from randomly selected day care centres in seven cities in China. Data on common cold and prenatal and postnatal exposure to dampness, mould, windowpane condensation in wintertime (WPC), cats, dogs, cockroaches and rats were assessed by a parentally administered questionnaire. Data on annual ambient temperature and PM10 was assessed on city level. Associations between high frequency (>5 colds per year) and long duration (≥2weeks) of common colds in the past year and exposure were calculated by multilevel logistic regression. A total of 9.2% had a high frequency and 11.9% had long duration of common cold. Exposure to mould (OR=1.38, 95% CI 1.24-1.53) and WPC (OR 1.23, 95%CI 1.13-1.33) at birth was associated with frequent common cold. Exposure to dogs at birth was associated with long duration of common cold. (OR=1.22, 95% CI 1.06-1.41). Exposure to mould (OR=1.36, 95% CI 1.22-1.54), WPC (OR=1.27, 95%CI 1.17-1.39) and water leakage (OR 1.34, 95% CI 1.20-1.49) in the current home was associated with frequent common cold. Presence of cockroaches were positively (OR=1.12, 95% CI 1.02-1.24) and presence of rats (OR=0.86, 95% CI 0.77-0.96) negatively associated with high frequency of common cold. Daily cleaning was negatively associated with frequent common cold (OR=0.89, 95% CI 0.81-0.97). Similar associations for mould, WPC, cockroaches and rats were found for long duration. Ambient PM10 (OR=1.21, 95% CI 1.21-1.35 per 10μg/m3) and temperature (OR=1.13, 95% CI 1.06-1.35 °C) on city level were associated with high frequency of common cold

  18. Pulmonary toxicity study in rats with PM 10 and PM 2.5: Differential responses related to scale and composition

    Science.gov (United States)

    Zhang, Wei; Lei, Tian; Lin, Zhi-Qing; Zhang, Hua-Shan; Yang, Dan-Feng; Xi, Zhu-Ge; Chen, Jian-Hua; Wang, Wei

    2011-02-01

    ObjectionTo study the pollution of atmospheric particles at winter in Beijing and compare the lung toxicity which induced by particle samples from different sampling sites. MethodWe collected samples from two sampling points during the winter for toxicity testing and chemical analysis. Wistar rats were administered with particles by intratracheal instillation. After exposure, biochemically index, esimmunity indexes, histopathology and DNA damage were detected in rat pulmonary cells. ResultThe elements with enrichment factors (EF) larger than 10 were As, Cd, Cu, Zn, S and Pb in the four experiment groups. The priority control of the total concentration of polycyclic aromatic hydrocarbons (PAHs) in PM 10 and PM 2.5 of Near-traffic source was much higher than that of Far-traffic source, it demonstrated that near the traffic source of PAHs pollution was heavier than that of Far-traffic source, as it was close to main roads Beiyuan Road, motor vehicle emissions were much higher. The pathology of lung showed that the degree of inflammation was increased with the particle diameter minished, it was the same as the detection of biochemical parameters such as lactate dehydrogenase (LDH), Total antioxidant status(T-AOC) and total protein (TP) in BALF and inflammation cytokine(interleukin-1, interleukin-6 and tumor necrosis factor-alpha) in lung homogenate. The indexes of DNA damage including the content of DNA and Olive empennage of PM 2.5 were significant higher than that of PM 10 at the same surveillance point ( P pollution at winter in Beijing. Meanwhile, atmospheric particulate matters on lung toxicity were related to the particles size and distance related sites which were exposed: smaller size, more toxicity; nearer from traffic, more toxicity.

  19. Polycyclic aromatic hydrocarbons and their nitrated derivatives associated with PM10 from Kraków city during heating season

    Directory of Open Access Journals (Sweden)

    Styszko Katarzyna

    2016-01-01

    Full Text Available Polycyclic Aromatic Hydrocarbons (PAHs, their nitro-derivatives (NPAHs and hundreds of other organic compounds are present in ambient air in gas and particulate form. PAHs and NPAHs originate from diesel and gasoline exhaust emission and other combustion sources. NPAHs are also formed through the nitration of parent PAHs in the atmosphere. Concentrations of PAHs and NPAHs in the particulate matter fraction PM10 collected in the centre of Kraków (27.01.2014 – 17.02.2014 were investigated. The thirteen PAHs and four NPAHs: fluorene, phenanthrene, anthracene, fluoranthene, pyrene, benzo[a]anthracene, benzo[a]pyrene, chrysene, benzo[b]fluoranthene, benzo[k]fluoranthene, indeno[1,2,3-c,d]pyrene, benzo[g,h,i]perylene, dibenz[a,h]anthracene, 2-nitrofluorene, 9-nitroanthracene, 3-nitrofluoranthene and 1-nitropyrene were extracted from particulate matter and analysed applying the GC/MS technique. Depending on the compounds the relative recoveries ranged from 72 to 94%. The concentrations of PM10 in the study period ranged between 23.5 and 153.8 μg·m-3. The average concentrations of PAHs and NPAHs ranged from 26.6 to 276.4 ng·m-3 and from 0.6 to 9.1 ng·m-3, respectively. The highest concentrations were observed for benzo[a]pyrene, benzo[a]anthracene, pyrene and fluoranthene. The average concentration of benzo[a]pyrene (BaP, which is a marker for the particle-bound atmospheric PAHs, was 9.5 ng·m-3. The concentrations of 3-nitrofluoranthene and 1-nitropyrene were below the quantification limits of the method (< MQL.

  20. Melt water interaction tests. PREMIX tests PM10 and PM11

    Energy Technology Data Exchange (ETDEWEB)

    Kaiser, A.; Schuetz, W.; Will, H. [Forschungszentrum Karlsruhe Inst. fuer Reaktorsicherheit, Karlsruhe (Germany)

    1998-01-01

    A series of experiments is being performed in the PREMIX test facility in which the mixing behaviour is investigated of a hot alumina melt discharged into water. The major parameters have been: the melt mass, the number of nozzles, the distance between the nozzle and the water, and the depth of the water. The paper describes the last two tests in which 20 kg of melt were released through one and three nozzles, respectively, directly into the water whose depth was 500 mm. The melt penetration and the associated phenomena of mixing are described by means of high-speed films and various measurements. The steam production and, subsequently, the pressure increased markedly only after the melt had reached the bottom of the pool. Spreading of the melt across the bottom caused violent boiling in both tests. Whereas the boiling lasted for minutes in the single-jet test, a steam explosion occurred in the triple-jet test about one second after the start of melt penetration. (author)

  1. Predicting PM10 concentration in Seoul metropolitan subway stations using artificial neural network (ANN).

    Science.gov (United States)

    Park, Sechan; Kim, Minjeong; Kim, Minhae; Namgung, Hyeong-Gyu; Kim, Ki-Tae; Cho, Kyung Hwa; Kwon, Soon-Bark

    2018-01-05

    The indoor air quality of subway systems can significantly affect the health of passengers since these systems are widely used for short-distance transit in metropolitan urban areas in many countries. The particles generated by abrasion during subway operations and the vehicle-emitted pollutants flowing in from the street in particular affect the air quality in underground subway stations. Thus the continuous monitoring of particulate matter (PM) in underground station is important to evaluate the exposure level of PM to passengers. However, it is difficult to obtain indoor PM data because the measurement systems are expensive and difficult to install and operate for significant periods of time in spaces crowded with people. In this study, we predicted the indoor PM concentration using the information of outdoor PM, the number of subway trains running, and information on ventilation operation by the artificial neural network (ANN) model. As well, we investigated the relationship between ANN's performance and the depth of underground subway station. ANN model showed a high correlation between the predicted and actual measured values and it was able to predict 67∼80% of PM at 6 subway station. In addition, we found that platform shape and depth influenced the model performance. Copyright © 2017 Elsevier B.V. All rights reserved.

  2. Using High Performance Computing to Examine the Processes of Neurogenesis Underlying Pattern Separation/Completion of Episodic Information.

    Energy Technology Data Exchange (ETDEWEB)

    Aimone, James Bradley [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Betty, Rita [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

    2015-03-01

    Using High Performance Computing to Examine the Processes of Neurogenesis Underlying Pattern Separation/Completion of Episodic Information - Sandia researchers developed novel methods and metrics for studying the computational function of neurogenesis, thus generating substantial impact to the neuroscience and neural computing communities. This work could benefit applications in machine learning and other analysis activities.

  3. Chemical characterisation and source apportionment of PM2.5 and PM10 at rural, urban and traffic sites in Navarra (North of Spain)

    Science.gov (United States)

    Aldabe, J.; Elustondo, D.; Santamaría, C.; Lasheras, E.; Pandolfi, M.; Alastuey, A.; Querol, X.; Santamaría, J. M.

    2011-10-01

    PM10 and PM2.5 levels, concentrations of major components, trace elements, pH, conductivity and source apportionment were evaluated from samples collected during 2009 at three different locations (rural, urban and urban-traffic) in Navarra (North of Spain). Mean particulate matter concentrations were below the annual limit value for PM10 and annual target value for PM2.5 established by the European Directive 2008/50/EC and similar to those recorded at other locations in the North of Spain. The major components of PM10 in the three sampling stations were, by order of importance, OC + EC, NO3- and non-marine sulphate (nmSO42-), whereas the major components of PM2.5 were OC + EC, nmSO42- and NO3-. ΔpH values indicated that PM2.5 samples were more acidic than PM10 ones. The 90-96% of total trace elements contribution in PM2.5 and PM10 were described by P, Ti, Cr, Mn, Ni, Cu, Zn, Sr, Sn, Ba and Pb. Concentrations of those elements were lower than values obtained in Pamplona in 2002-2004 and similar to those found in other sub-urban and urban Spanish cities. PMF model identified 5 principle sources for PM10 and PM2.5 in Iturrama and Plaza de la Cruz (crustal, secondary sulphate, secondary nitrate, traffic and sea-salt aerosols) and 4 sources for PM10 in Bertiz (crustal, secondary sulphate, secondary nitrate and sea-salt).

  4. Human health risks posed by exposure to PM10 for four life stages in a low socio-economic community in South Africa.

    Science.gov (United States)

    Thabethe, Nomsa Duduzile Lina; Engelbrecht, Jacobus Christoffel; Wright, Caradee Yael; Oosthuizen, Maria Aletta

    2014-01-01

    Mine ash dumps, industries and domestic fuel use have a great impact on air quality and PM10 (particles with a diameter equal to or less than 10 μm) is a pollutant of particular concern. The objective of this study was to assess the human health risks posed by exposure to PM10 among a low socio-economic community. The Human Health Risk Assessment (HHRA) framework (i.e. hazard assessment, dose-response assessment, exposure assessment and risk characterization) was applied. PM10 concentrations were monitored for one month during winter and summer, respectively. A HHRA was conducted to assess whether the community was exposed to PM10 concentrations that may pose carcinogenic and non-carcinogenic health risks. Generally, the residents were exposed to higher concentrations of PM10 during winter than summer, resulting in a higher risk to health during winter. Results of the HHRA showed that infants were exposed to a higher dose of PM10 than the other life stages when exposed to the same concentration due to differences in inhalation rates and the ratio between inhalation and body weight. However, they were at the same risk of developing adverse effects from exposure to the same concentration of PM10 as the other life stages were exposed to, because the 'safe' dose was also higher for infants and since all life stages, in general, are similarly affected by PM unless the chemical composition of the PM is known. This study recommends that infants and children, in particular, should not be exposed to air pollution from domestic fuel burning as one positive step to try and reduce their dose.

  5. Assessment of dioxin-like activity in PM10 air samples from an industrial location in Algeria, using the DRE-CALUX bioassay.

    Science.gov (United States)

    Khedidji, Sidali; Croes, Kim; Yassaa, Noureddine; Ladji, Riad; Denison, Michael S; Baeyens, Willy; Elskens, Marc

    2017-05-01

    When compared to the European guidelines, PM10 (particulate matter up to 10-μm size) concentrations in Algeria are often exceeding the maximum limits, and in general, no information exists on the compounds bound on its surface. The objective of this study was to measure the dioxin-like activity of polychlorinated dibenzodioxines and dibenzofurans (PCDD/Fs) and dioxin-like polychlorinated biphenyls (PCBs) in the PM10 fraction at the Sour El Ghozlane cement plant in Algeria. PM10 samples (n = 23) were taken between 24 March and 15 April 2013, using a medium volume sampler and 47-mm PTFE filters. The 24-h samples were dried to determine the PM10 content and afterward extracted, cleaned up, and analyzed with the dioxin-responsive element-chemical-activated luciferase gene expression (DRE-CALUX) bioassay. Our results showed that the measured bioanalytical equivalents (BEQs) were similar to those in other international industrial sites worldwide. The PCDD/Fs and dioxin-like PCBs (dl-PCBs) were positively correlated (rho = 0.6, p = 0.002), indicating that they have similar sources. Furthermore, samples from March showed higher PCDD/F and dl-PCB BEQs and humidity but lower temperatures compared to samples from April, while there was no difference in the PM10 concentrations between the two months. These results reveal that PM10 alone is not a good proxy and that meteorological conditions are an important factor in assessing dioxin-like pollution in the atmosphere. It seems that, at present, there is no health hazard through direct airborne human exposure to dioxin-like pollutants in PM10 from this site. However, it is important to monitor these POPs for a longer period of time and also to gain more insight in their distribution between the particulate and gas phase in relation to meteorological conditions.

  6. Differences in composition of above and below legal limit PM10 at two contrasting sites in the city of Oporto, Portugal.

    Science.gov (United States)

    Caseiro, Alexandre; Oliveira, César; Pio, Casimiro; Nunes, Teresa; Santos, Patrícia; Mao, Hongjun; Sokhi, Ranjeet; Luhanna, Lakhu

    2010-05-01

    Particulate matter, either with aerodynamical diameter below 10 μm (PM10) or the fine (aerodynamical diameter below 2.5 μm, PM2.5) or coarse (aerodynamical diameter between 2.5 and 10 μm, PM2.5-10) modes only, are presently regarded as one of the main threats to public health instigated by air pollution. The levels of ambient air particulates are regulated but the limits are frequently surpassed. It is therefore necessary to identify and quantify PM sources and their variability, as well as the biogenic processes that to some extent control their ambient load, in order to effectively regulate on the anthropogenic activities which originate PM. PM2.5-10 and PM2.5 were monitored in Oporto, NW Portugal, at two contrasting sites (directly impacted by traffic, roadside, and at the urban background) during two one-month campaigns (winter and summer). Sampling was conducted independently during daytime and night-time. Out of the 207 sampling periods analysed, 38 (18%) were above the European legal PM10 limit of 50 ?g m-3. PM2.5 concentrations above the limit of 25 ?g m-3 proposed by the EC occurred in 70 out of 202 sampling (35%). More exceedances occurred in winter than in summer and at roadside than at the urban background. Within the scope of this work, the relationship between PM concentrations, namely the occurrence of exceeding PM limit values, and meteorological variables or the sampling period (day/night, work day/weekend) and will be presented. Besides PM mass, the soluble ionic composition (Cl-, SO42-, NO3-, Na+, NH4+, K+, Ca2+ and Mg2+) as well as the elemental composition (Al, Si, S, Cl, K, Ca, Ti, V, Cr, Mn, Fe, Ni, Cu, Zn, Ga, As, Se, Br, Rb, Sr, Zr, Sn, Ba and Pb) were also determined. This allowed the application of multivariate analysis (principal component analysis with multi-linear regression analysis, PCA-MLRA, and positive matrix factorisation, PMF). Five main sources were identified in the fine and coarse modes (direct road traffic emissions

  7. Study and evaluation of atmospheric pollution in Spain: necessary measures arising from the EC Directive on PM10 and PM2.5 particles in the Ceramic industry

    Directory of Open Access Journals (Sweden)

    Rodríguez, S.

    2000-02-01

    Full Text Available The European Commission Directive, 1999/30/EC, approved on the 22nd of April 1999, on atmospheric particles establishes a standard that is more stringent than the current one. This Directive proposes the monitoring of particles lower than 10 μm (PM10, thoracic particles based on health impact criteria. The proposed EC limits are 40 μgPM10.m-3 and 20 μgPM10.m-3 as annual means in 2005 and 2010, respectively. In accordance with the European Commission (EC, the future PM10 limits will be revised in 2003 if the European States can demonstrate that the exceedances of the new limits are attributed to natural inputs. The exceedances due to natural inputs are more frequent in Mediterranean countries due to the re-suspension of natural soil particles and to the higher frequency of Saharan air mass intrusions. This study summarises the preliminary results obtained from two research projects in Spain focused on: 1 establishing the criteria for the discrimination of natural/anthropogenic inputs of PM10; 2 identifying the events when the proposed limits are exceeded by natural inputs and 3 determining the most suitable monitoring parameter, PM10 or PM2.5, in order to avoid natural interference. Given the importance of the ceramic industry in Castelló, special attention will be placed on the preliminary results obtained this area.La Directiva de la comisión Europea, 1999/30/CE, aprobada el 22 de Abril de 1999, referida a partículas atmosféricas en suspensión, establece una normativa más estricta que la vigente. Esta normativa propone el control de las partículas inferiores a 10 μm (PM10, partículas torácicas basándose en criterios de impacto en la salud. Según esta directiva no se podrán superar medias diarias anuales de 40 μgPM10.m-3 en el 2005 y de 20 μgPM10.m-3 en el 2010. La directiva contempla la revisión de los límites normativos y de los parámetros de control en el 2003, pudiendo variar estos en el caso de que los Estados miembros

  8. AJUSTE DE CURVAS MEDIANTE MÉTODOS NO PARAMÉTRICOS PARA ESTUDIAR EL COMPORTAMIENTO DE CONTAMINACIÓN DEL AIRE POR MATERIAL PARTICULADO PM10 AJUSTE DE CURVAS MEDIANTE MÉTODOS NÃO PARAMÉTRICOS PARA ESTUDAR O COMPORTAMENTO DE CONTAMINAÇÃO DO AR POR MATERIAL PARTICULADO PM10 CURVE FITTING NONPARAMETRIC METHODS FOR STUDYING BEHAVIOR FROM AIR POLLUTION PM10

    Directory of Open Access Journals (Sweden)

    Jhovana Reina

    2012-12-01

    Full Text Available Uno de los principales agentes contaminantes del aire es el material particulado de diámetro aerodinámico inferior a 10 micrómetros, comúnmente conocido como PM10. Su comportamiento varía de forma irregular y temporal en la atmósfera, debido a las actividades humanas, condiciones atmosféricas inestables y fenómenos meteorológicos. El propósito de este estudio es caracterizar con un modelo de suavización no paramétrica el comportamiento del PM10 en el aire a lo largo de un día, teniendo en cuenta el día de la semana y los niveles de precipitación. El modelo propuesto se ilustra con registros sobre contaminación por PM10 y con datos de precipitación en el norte de Cali, Colombia. Se estiman curvas típicas diarias del comportamiento del PM10 usando suavizadores kernel y spline. El procesamiento se ejecuta con el software estadístico de libre distribución R. Las curvas estimadas permiten observar un comportamiento unimodal del PM10 durante las horas de la mañana, diferenciado por días de la semana y por días con lluvia y sin lluvia. Los modelos permiten caracterizar de manera robusta el comportamiento diario del PM10, teniendo en cuenta observaciones heterocedásticas bajo un escenario de múltiples respuestas por punto de diseño.Um dos principais agentes contaminantes do ar é o material particulado de diâmetro aerodinâmico inferior a 10 micrômetros, comumente conhecido como PM10. Seu comportamento varia de forma irregular e temporal na atmosfera, devido às atividades humanas, condições atmosféricas instáveis e fenômenos meteorológicos. O propósito deste estudo é caracterizar com um modelo de suavização não paramétrica o comportamento do PM10 no ar ao longo de um dia, tendo em conta o dia da semana e os níveis de precipitação. O modelo proposto ilustra-se com registros sobre contaminação por PM10 e com dados de precipitação no norte de Cali, Colômbia. Estimam-se curvas típicas diárias do

  9. Characterization of short- and medium-chain chlorinated paraffins in outdoor/indoor PM10/PM2.5/PM1.0in Beijing, China.

    Science.gov (United States)

    Huang, Huiting; Gao, Lirong; Xia, Dan; Qiao, Lin; Wang, Runhua; Su, Guijin; Liu, Wenbin; Liu, Guorui; Zheng, Minghui

    2017-06-01

    Persistent organic pollutants (POPs) were listed in the Stockholm Convention, because of their adverse health effects, persistence, bioaccumulation and ubiquitous presence in the environment. Short chain chlorinated paraffins (SCCPs), chlorinated derivatives of n-alkanes, have been listed as candidate POPs under Stockholm Convention. Inhalation uptake was an important exposure pathway for non-occupational adult human and the pollution of particle matter has caused great concern. There are some studies focused on POPs such as polychlorinated biphenyls, polychlorinated dibenzo-p-dioxins and dibenzofurans and polybrominated diphenyl ethers in different size particles. However, there were no studies that discussed CP concentrations in particulate matter (PM) with different sizes. In this study, a total of 30 PM samples were collected both outdoors and indoors at a sampling site in Beijing. These samples were used to investigate the concentrations and distributions of SCCPs and medium chain chlorinated paraffins (MCCPs) in PM fractions of different sizes, and to evaluate inhalation exposure risks. The results showed that the average SCCPs and MCCPs in the outdoor PM 10 were 23.9 and 3.6 ng m -3 , while the mean values in indoor were 61.1 and 6.9 ng m -3 , respectively. The levels of SCCPs and MCCPs in indoor and outdoor were relatively high. SCCP and MCCP concentrations in the indoor PM 10 /PM 2.5 /PM 1.0 samples were higher than the corresponding values in the outdoor, because of the using of some products containing CPs in the indoors, like paints and coatings, leather and rubber products. In both outdoor and indoor air, CPs are mainly associated with particles ≤2.5 μm in diameter. The main homolog groups for both SCCPs and MCCPs were C 10-11 Cl 7-8 . It is assumed that SCCPs in the outdoor and indoor PM samples may mainly derive from the production and use of CP-42 and CP-52. Copyright © 2017 Elsevier Ltd. All rights reserved.

  10. Development and application of an inhalation bioaccessibility method (IBM) for lead in the PM10 size fraction of soil.

    Science.gov (United States)

    Boisa, Ndokiari; Elom, Nwabueze; Dean, John R; Deary, Michael E; Bird, Graham; Entwistle, Jane A

    2014-09-01

    An approach for assessing the inhalation bioaccessibility of Pb in the PM10 size fraction is presented, using an in vitro simulated epithelial lung fluid to represent the extracellular environment of the lung. The developed inhalation bioaccessibility method (IBM) is applied to a range of urban surface soils and mining wastes obtained from Mitrovica, Kosovo, a site where impacts upon human health following exposure to Pb have been internationally publicised. All Pb determinations were undertaken by inductively coupled plasma mass spectrometry (ICP-MS). The pseudo-total concentration of Pb (microwave acid digestion using aqua-regia) varied between matrices: smelter (20,900-72,800mgkg(-1)), topsoil (274-13,700mgkg(-1)), and tailings (2990mgkg(-1)-25,300mgkg(-1)). The in vitro inhalation bioaccessibility was typically several orders of magnitude lower: smelter (7.0-965mgkg(-1)), topsoil (9.8-1060mgkg(-1)), and tailings (0.7mgkg(-1)-49.2mgkg(-1)). The % inhalation bioaccessibility ranged from 0.02 to 11.0%, with the higher inhalation bioaccessible Pb concentrations being observed for samples from the Bosniak Mahalla area of Mitrovica (an area proposed for the relocation of internally displaced peoples). The estimated inhalation dose (for adults) calculated from the PM10 pseudo-total Pb concentration ranged from 0.369 to 1.284μgkg(-1)BWday(-1) (smelter), 0.005-0.242μgkg(-1)BWday(-1) (topsoil), and 0.053-0.446μgkg(-1)BWday(-1) (tailings). When daily inhalation doses were calculated using the bioaccessible Pb concentration the modelled exposure doses were much lower: smelter (0.0001-0.0170μgkg(-1)BWday(-1)), topsoil (0.0002-0.0187μgkg(-1)BWday(-1)) and tailings (0.0001-0.0009μgkg(-1)BWday(-1)). Modelled for the neutral pH conditions of the interstitial lung environment, the results indicate a low potential inhalation bioaccessibility for Pb in these samples. Given the already elevated environmental Pb burden experienced by the local population, where significant

  11. [Amnestic episodes].

    Science.gov (United States)

    Riedmann, G; Lindner, M; Barolin, G S

    1988-12-31

    Amnesic episodes, by no means infrequent occurrences, are likely to trigger off anxiety in the patient and to evade adequate diagnostic interpretation. They consist of an isolated disturbance of short-term memory, manifesting itself as a permanent memory gap. The clinical features may vary from a conspicuous behaviour with stereotype repetition of questions to a completely inconspicuous picture with flawless execution of even highly differentiated behaviour patterns. The vegetative state may either be completely undisturbed or vary from mild impairment with nausea and vertigo to marked vegetative disorder. We are advocating a classification in 3 groups: a) "Genuine" amnesic states as symptoms of impaired blood flow in the basilar system in the absence of other etiological clues. b) "Symptomatic" amnesic episodes with tangible pathogenic factors, such as injury of the head and cervical spine, epilepsy, intoxication with various agents. The "genuine" amnesic states can also be regarded as transitory ischemic attacks of the basilar system. They show the following criteria: preponderance in females beyond middle age, duration of several hours, relatively high frequency of vascular risk factors and degenerative changes in the cervical spine, often triggered off by stress on the cervical spine, low tendency towards recurrence, general clinical benignity. In consequence, we stress the importance of etiological clarification before the onset of therapy. After the diagnosis of "genuine" amnesic state has been established, treatment has to be in accordance with the principles of basilar stroke therapy with subsequent vascular prophylaxis. Nevertheless, because of possible therapeutic or forensic consequences, the "symptomatic" states have to be kept in mind.

  12. The Risk of Tuberculosis Reinfection Soon after Cure of a First Disease Episode Is Extremely High in a Hyperendemic Community.

    Directory of Open Access Journals (Sweden)

    Pieter Uys

    Full Text Available Elevated rates of reinfection tuberculosis in various hyperendemic regions have been reported and, in particular, it has been shown that in a high-incidence setting near Cape Town, South Africa, the rate of reinfection tuberculosis (TB disease after cure of a previous TB disease episode is about four times greater than the rate of first-time TB disease. It is not known whether this elevated rate is caused by a high reinfection rate due, for instance, to living circumstances, or a high rate of progress to disease specific to the patients, or both. In order to address that question we analysed an extensive data set from clinics attended by TB patients in the high-incidence setting near Cape Town, South Africa and found that, in fact, the (average rate of reinfection (as opposed to the rate of reinfection disease after cure of a previous TB disease episode is initially about 0.85 per annum. This rate diminishes rapidly over time and after about ten years this rate is similar to the rate of infection in the general population. Also, the rate of progress to disease after reinfection is initially high but declines in subsequent years down to the figure typical for the general population. These findings suggest that the first few months after cure of a TB disease episode form a critical period for controlling reinfection disease in a hyperendemic setting and that monitoring such cured patients could pre-empt a reinfection progressing to active disease.

  13. PENGARUH FAKTOR METEOROLOGIS DAN KONSENTRASI PARTIKULAT (PM10 TERHADAP KEJADIAN INFEKSI SALURAN PERNAPASAN AKUT (ISPA (Studi Kasus Kecamatan Banjarbaru Selatan, Kota Banjarbaru Tahun 2014-2015

    Directory of Open Access Journals (Sweden)

    Wiji Cahyadi

    2016-12-01

    Full Text Available The purpose of this study was to analyze the influence of meteorological factors directly or indirectly through the concentration of particulate (PM10 on the incidence of Acute Respiratory Infections (ARI in the District of South Banjarbaru, Banjarbaru. The method used in this research is cross-sectional study, where data meteorological factors, the concentration of particulate matter (PM10 and the incidence of ARI are collected simultaneously. Data meteorological factors and the concentration of particulate matter (PM10 derived from Banjarbaru Climatological Station, while data came from health ARI Banjarbaru and Sei Besar which is located in the district of South Banjarbaru. While the analysis used in this study were Path Analysis (path analysis was an analysis of the relationship between the independent variables, intermediate variables, and the dependent variable was presented in the form of a diagram. The results showed the meteorological factors that had a direct impact on the incidence of ARI was the largest factor relative air humidity of by 18.7%, followed by a factor of 7.1% of air temperature, wind speed factor and its influence on the intensity of rainfall was below 1%. While the indirect influence of meteorological factors on the concentration of particulate matter (PM10 on the incidence of ARI in the District of South Banjarbaru effect was below 1%. It can be concluded that the direct effect of meteorological factors and the concentration of particulate matter (PM10 on the incidence of ARI in the District of South Banjarbaru significant factor was the relative air humidity and air temperature. While the indirect influence of meteorological factors against ARI through PM10, the effect was not significant.

  14. Characterization and identification of the sources of chromium, zinc, lead, cadmium, nickel, manganese and iron in PM10 particulates at the two sites of Kolkata, India.

    Science.gov (United States)

    Karar, Kakoli; Gupta, A K; Kumar, Animesh; Biswas, Arun Kanti

    2006-09-01

    Monitoring of ambient PM10 (particulate matter which passes through a size selective impactor inlet with a 50% efficiency cut-off at 10 microm aerodynamic diameter) has been done at residential (Kasba) and industrial (Cossipore) sites of an urban region of Kolkata during November 2003 to November 2004. These sites were selected depending on the dominant anthropogenic activities. Metal constituents of atmospheric PM10 deposited on glass fibre filter paper were estimated using Inductively Coupled Plasma Atomic Emission Spectrometer (ICP-AES). Chromium (Cr), zinc (Zn), lead (Pb), cadmium (Cd), nickel (Ni), manganese (Mn) and iron (Fe) are the seven toxic trace metals quantified from the measured PM10 concentrations. The 24 h average concentrations of Cr, Zn, Pb, Cd, Ni, Mn and Fe from ninety PM10 particulate samples of Kolkata were found to be 6.9, 506.1, 79.1, 3.3, 7.4, 2.4 and 103.6 ng/m3, respectively. The 24 h average PM10 concentration exceeded national ambient air quality standard (NAAQS) as specified by central pollution control board, India at both residential (Kasba) and industrial (Cossipore) areas with mean concentration of 140.1 and 196.6 microg/m3, respectively. A simultaneous meteorology study was performed to assess the influence of air masses by wind speed, wind direction, rainfall, relative humidity and temperature. The measured toxic trace metals generally showed inverse relationship with wind speed, relative humidity and temperature. Factor analysis, a receptor modeling technique has been used for identification of the possible sources contributing to the PM10. Varimax rotated factor analysis identified four possible sources of measured trace metals comprising solid waste dumping, vehicular traffic with the influence of road dust, road dust and soil dust at residential site (Kasba), while vehicular traffic with the influence of soil dust, road dust, galvanizing and electroplating industry, and tanning industry at industrial site (Cossipore).

  15. Assessment of life quality in patients with bronchial asthma residing in Krakow in the areas of varying concentrations of particulate matter (PM10

    Directory of Open Access Journals (Sweden)

    Monika Ścibor

    2015-03-01

    Full Text Available Introduction. Asthma is a chronic disease, from which more and more people in the world suffer. It is connected with many bothersome symptoms and limitations, which result in decreased quality of life for the patient. Environmental and individual aspects do not necessarily affect individuals in the same way, so it is necessary to determine which factors have predominantly impacted on an individual, in order to minimize their impact and to take better control over treatment of asthma. The aim of this research was to compare the quality of life among patients with bronchial asthma living in Krakow in the areas where they get exposed to varying concentrations of particulate matter (PM10. Material and methods. The study included 98 adults diagnosed with bronchial asthma. The research was conducted using the AQLQ poll. PM10 concentration was measured in several Malopolska Air Pollution Monitoring Stations located throughout the city. Results. Analyzing the quality of life in the view of symptoms, activity limitations and emotional well being, there was a substantial statistical difference observed in people occupying the areas with different PM10 concentrations. No significant statistical difference was observed in the frequency of asthma symptoms caused by the environmental stimuli between the 2 discussed groups. One group of patients who came to the allergy clinic for control of asthma symptoms and the second group who live in the vicinity of the monitoring stations measuring PM10 concentrations. Conclusions. For many of the cases, the quality of life was not worse for patients with asthma living in an area with slightly elevated concentrations of PM10, and sometimes paradoxically the quality of life was improved. These results show that PM10 concentrations do not correlate with quality of life of asthma patients.

  16. Variation of atmospheric aerosol components and sources during smog episodes in Debrecen, Hungary

    Energy Technology Data Exchange (ETDEWEB)

    Angyal, A.; Kertész, Zs.; Szoboszlai, Z.; Szikszai, Z. [lnstitute of Nuclear Research of the Hungarian Academy of Sciences (Atomki), Laboratory of lon Beam Applications, Debrecen (Hungary); Ferenczi, Z. [Hungarian Meteorological Service, Budapest (Hungary); Furu, E.; Tõrõk, Zs. [University of Debrecen, Debrecen (Hungary)

    2013-07-01

    Full text: Atmospheric particulate matter (APM) pollution is one of the leading environmental problems in densely populated urban environments. In most cities all around the world high aerosol pollution levels occurs regularly. Debrecen, an average middle-European city is no exception. Every year there are several days when the aerosol pollution level exceeds the alarm threshold value (100 μ-g/m{sup 3} for PM10 in 24- hours average). When the PM10 pollution level remains over this limit value for days, it is called 'smog' by the authorities. In this work we studied the variation of the elemental components and sources of PM10, PM2.5 and PM coarse and their dependence on meteorological conditions in Debrecen during two smog episodes occurred in November 2011. Aerosol samples were collected with 2-hours time resolution with a PIXE International sequential streaker in an urban background site in the downtown of Debrecen. In order to get information about the size distribution of the aerosol elemental components 9-stage cascade impactors were also employed during the sampling campaigns. The elemental composition (Z ≥ 13) were determined by Particle Induced X-Ray Emission (PIXE) at the IBA Laboratory of Atomki. Concentrations of elemental carbon were measured with a smoke stain reflectometer. On this data base source apportionment was carried out by using the positive matrix factorisation (PMF) method. Four factors were identified for both size fractions, including soil dust, traffic, domestic heating, and oil combustion. The time pattern of the aerosol elemental components and PM sources exhibited strong dependence on the mixing layer thickness. We showed that domestic heating had a major contribution to the aerosol pollution. (This work was carried out in the frame of the János Bolyai Research Scholarship of the Hungarian Academy of Sciences and TÁMOP-4.2.2/B-10/1-2010-0024 project). (author)

  17. Assessment of the long-term impacts of PM10 and PM2.5 particles from construction works on surrounding areas

    OpenAIRE

    Azarmi, Farhad; Kumar, Prashant; Marsh, Daniel,; Fuller, Gary

    2016-01-01

    Construction activities are common across cities; however, the studies assessing their contribution to airborne PM10 (≤10 μm) and PM2.5 (≤2.5 μm) particles on the surrounding air quality are limited. Herein, we assessed the impact of PM10 and PM2.5 arising from construction works in and around London. Measurements were carried out at 17 different monitoring stations around three construction sites between January 2002 and December 2013. Tapered element oscillating microbalance (TEOM 1400) and...

  18. Variations in PM10, PM2.5 and PM1.0 in an Urban Area of the Sichuan Basin and Their Relation to Meteorological Factors

    OpenAIRE

    Yang Li; Quanliang Chen; Hujia Zhao; Lin Wang; Ran Tao

    2015-01-01

    Daily average monitoring data for PM10, PM2.5 and PM1.0 and meteorological parameters at Chengdu from 2009 to 2011 are analyzed using statistical methods to replicate the effect of urban air pollution in Chengdu metropolitan region of the Sichuan Basin. The temporal distribution of, and correlation between, PM10, PM2.5 and PM1.0 particles are analyzed. Additionally, the relationships between particulate matter (PM) and certain meteorological parameters are studied. The results show that varia...

  19. Practicalities of mapping PM10 and PM2.5 concentrations on city-wide scales using a portable particulate monitor

    OpenAIRE

    Deary, Michael; Bainbridge, Samantha; Kerr, Amy; McAllister, Adam; Shrimpton, Thomas

    2016-01-01

    Fine particulate matter is considered to be the most significant ambient air pollutant in terms of potential health impacts. Therefore, it is important that regulators are able to accurately assess the exposure of populations to PM10 and PM2.5 across municipal areas. We report on the practicalities of using a laser light scattering portable particulate monitor (Turnkey Instruments DustMate), in combination with a GPS, to map PM10 and PM2.5 concentrations on city-wide scales in Newcastle upon ...

  20. The influence of meteorological conditions and stringent emission control on high TSP episodes in Istanbul.

    Science.gov (United States)

    Topcu, Sema; Incecik, Selahattin; Unal, Yurdanur Sezginer

    2003-01-01

    Istanbul has faced serious air pollution problems since the mid-80s. This is mainly due to particulate air pollution coming from poor quality lignite in areas, which are heavily populated and industrialized. As a consequence of severe air pollution problems, stringent control on the emissions in the city started in the year of 1994. In this work, in order to study the relationship between emissions and meteorological conditions, an assessment of air pollution episodes and air pollution potential in the city is presented for the terms at the changed emission schedule as the influence of an emission reduction strategy. The influence of meteorological conditions on the TSP (total suspended particulates) levels is considered for two consecutive winter periods. On this occasion, the city has faced different TSP levels and episode characteristics depending on stringent emission reductions covering the banned, poor-quality lignite and fuel switching. For this purpose, climatological conditions and air quality analyses were performed.

  1. Psychiatric Disorders, High-Risk Behaviors, and Chronicity of Episodes Among Predominantly African American Homeless Chicago Youth

    Science.gov (United States)

    Castro, Anne L.; Gustafson, Erika L.; Ford, Ashley E.; Edidin, Jennifer P.; Smith, Dale L.; Hunter, Scott J.; Karnik, Niranjan S.

    2014-01-01

    Objective This cross-sectional study investigated the relationships between psychiatric and substance-related disorders, high-risk behaviors, and the onset, duration, and frequency of homelessness among homeless youth in Chicago. Methods Sixty-six homeless youth were recruited from two shelters in Chicago. Demographic characteristics, psychopathology, substance use, and risk behaviors were assessed for each participant. Results Increased frequency and duration of homeless episodes were positively correlated with higher rates of psychiatric diagnoses. Increased number of psychiatric diagnoses was positively correlated with increased high-risk behaviors. Participants with diagnoses of Current Suicidality, Manic Episodes, Obsessive Compulsive Disorder, Substance Abuse, and Psychotic Disorder had a higher chronicity of homelessness than those without diagnoses. Conclusions Significant differences were evident between the three time parameters, suggesting that stratification of data by different time variables may benefit homelessness research by identifying meaningful subgroups who may benefit from individualized interventions. PMID:25130234

  2. [Characterizing Beijing's Airborne Bacterial Communities in PM2.5 and PM1 Samples During Haze Pollution Episodes Using 16S rRNA Gene Analysis Method].

    Science.gov (United States)

    Wang, Bu-ying; Lang, Ji-dong; Zhang, Li-na; Fang, Jian-huo; Cao, Chen; Hao, Ji-ming; Zhu, Ting; Tian, Geng; Jiang, Jing-kun

    2015-08-01

    During 8th-14th Jan., 2013, severe particulate matter (PM) pollution episodes happened in Beijing. These air pollution events lead to high risks for public health. In addition to various PM chemical compositions, biological components in the air may also impose threaten. Little is known about airborne microbial community in such severe air pollution conditions. PM2.5 and PM10 samples were collected during that 7-day pollution period. The 16S rRNA gene V3 amplification and the MiSeq sequencing were performed for analyzing these samples. It is found that there is no significant difference at phylum level for PM2.5 bacterial communities during that 7-day pollution period both at phylum and at genus level. At genus level, Arthrobacter and Frankia are the major airborne microbes presented in Beijing winter.samples. At genus level, there are 39 common genera (combined by first 50 genera bacterial of the two analysis) between the 16S rRNA gene analysis and those are found by Metagenomic analysis on the same PM samples. Frankia and Paracoccus are relatively more abundant in 16S rRNA gene data, while Kocuria and Geodermatophilus are relatively more abundant in Meta-data. PM10 bacterial communities are similar to those of PM2.5 with some noticeable differences, i.e., at phylum level, more Firmicutes and less Actinobacteria present in PM10 samples than in PM2.5 samples, while at genus level, more Clostridium presents in PM10 samples. The findings in Beijing were compared with three 16S rRNA gene studies in other countries. Although the sampling locations and times are different from each other, compositions of bacterial community are similar for those sampled at the ground atmosphere. Airborne microbial communities near the ground surface are different from those sampled in the upper troposphere.

  3. Aerosol contributions at an urban background site in Eastern Mediterranean - Potential source regions of PAHs in PM10 mass.

    Science.gov (United States)

    Dimitriou, Konstantinos; Kassomenos, Pavlos

    2017-11-15

    In this paper, two backward air mass trajectory-based models (Potential Source Contribution Function [PSCF] and Concentration Weighted Trajectory [CWT]) were combined, aiming to identify sources and factors defining the load of PM in the city of Limassol (Cyprus). The study also focused on the determination of atmospheric pathways enriching the aerosol phase of four carcinogenic Polycyclic Aromatic Hydrocarbons (PAHs): Benzo(a)pyrene (BaP), Benzo(a)anthracene (BaA), Benzo(b)fluoranthene (BbF) and Benzo(k)fluoranthene (BkF), in PM10 mass. The analysis was performed on a 0.5°·0.5° resolution grid for the two-year period 2011-2012. During cold seasons, regional airflows triggered the accumulation of locally produced PM2.5, while the impact of dust plumes originated from deserts in NE Africa, Syria and the Middle East, was apparent on PM2.5 and principally on PMCOARSE levels. On the contrary, within warm seasons, weaker dust PMCOARSE contributions were detected in Limassol from areas in Egypt and Libya. Raised particulate-phase PAH concentrations in Limassol were clearly related to air parcels reaching Cyprus via continental areas. The use of outdated technologies for heating and transportation in Turkey and Syria, and fire events in central Turkey, are possible sources of exogenous PAHs throughout cold and warm period respectively. The influence of clean marine air masses dropped the levels of PAH compounds in all seasons. Copyright © 2017 Elsevier B.V. All rights reserved.

  4. Relative roles of emissions and meteorology in the diurnal pattern of urban PM10: analysis of the daylight saving time effect.

    Science.gov (United States)

    Muñoz, Ricardo C

    2012-06-01

    Daylight saving time (DST) is a common practice in many countries, in which Official Time (OT) is abruptly shifted 1 hour with respect to solar time on two occasions every year (in fall and spring). All anthropogenic emitting processes tied to OT like job and school commuting traffic, abruptly change in this moment their timing with respect to solar time, inducing a sudden shift between emissions and the meteorological factors that control the dispersion and transport of air pollutants. Analyzing 13 years of hourly particulate matter (PM10) concentrations measured in Santiago, Chile, we demonstrate that the DST practice has observable non-trivial effects in the PM10 diurnal cycle. The clearest impact is in the morning peak of PM10 during the fall DST change, which occurs later and has on average a significant smaller magnitude in the days after the DST change as compared to the days before it. This decrease in magnitude is most remarkable because it occurs in a period of the year when overall PM10 concentrations increase due to generally worsening of the dispersion conditions. Results are shown for seven monitoring stations around the city, and for the fall and spring DST changes. They show clearly the interplay of emissions and meteorology in conditioning urban air pollution problems, highlighting the role of the morning and evening transitions of the atmospheric boundary layer in shaping the diurnal pattern of urban air pollutant concentrations.

  5. Comparison of voltammetry and inductively coupled plasma-mass spectrometry for the determination of heavy metals in PM 10 airborne particulate matter

    Science.gov (United States)

    Buzica, Daniela; Gerboles, Michel; Borowiak, Annette; Trincherini, Pier; Passarella, Rosanna; Pedroni, Valerio

    The potential of the voltammetry method was examined for the determination of heavy metals in ambient air particulate matter (PM 10) on quartz filter. Cd, Pb, Cu, Zn, As were determined by anodic stripping voltammetry while adsorptive stripping voltammetry was used for the analysis of Ni. The method detection limit of these metals were 9.3, 0.1, 0.8, 0.3, 0.4, 0.1 ng m -3 for Zn, Cd, Pb, Cu, Ni and As, respectively. In addition, the analysis of a Certified Reference Material NIST 1648, yielded recoveries between 92% and 103%. Consequently, both the detection limit and recovery of the voltammetric method satisfy the requirements of the European Standard for the analyses of heavy metals in PM 10 (EN 14902). A comparison of the inductively coupled plasma-mass spectrometry (ICP-MS) and voltammetry method on the NIST 1648 and PM 10 filters showed the differences between them remained well within the level of uncertainty on the NIST 1648 requested by European Directives for heavy metals (25% for Pb and 40% for As, Cd and Ni, respectively). In addition to its compliance with legislations, the voltammetry method benefits from low investment cost and the potential of complete automation. As such, one may expect voltammetry to provide a reliable alternative to the European laboratories in charge of ambient air monitoring at the time when the European Directives require to measure heavy metals in PM 10 on a regularly basis.

  6. Black carbon A n additional indicator of the Adverse Health Effects of Airborne Particles Compared with PM10 and PM2.5

    NARCIS (Netherlands)

    Keuken, M.P.

    2011-01-01

    Background: Current air quality standards for particulate matter (PM) use the PM mass concentration [PM with aerodynamic diameters ≤ 10 μm (PM10) or ≤ 2.5 μm (PM2.5)] as a metric. It has been suggested that particles from combustion sources are more relevant to human health than are particles from

  7. Indoor/outdoor concentrations and elemental composition of PM10/PM2.5 in urban/industrial areas of Kocaeli City, Turkey.

    Science.gov (United States)

    Pekey, B; Bozkurt, Z B; Pekey, H; Doğan, G; Zararsiz, A; Efe, N; Tuncel, G

    2010-04-01

    This study presents indoor/outdoor PM2.5 and PM10 concentrations measured during winter and summer in 15 homes in Kocaeli, which is one of the most industrialized areas in Turkey. Indoor and outdoor PM2.5 and PM10 mass concentrations and elemental composition were determined using an X-ray fluorescence spectrometer. Quantitative information was obtained on mass concentrations and other characteristics such as seasonal variation, indoor/outdoor (I/O) ratio, PM2.5/PM10 ratio, correlations and sources. Average indoor and outdoor PM2.5 concentrations were 29.8 and 23.5 microg/m(3) for the summer period, and 24.4 and 21.8 microg/m(3) for the winter period, respectively. Average indoor and outdoor PM10 concentrations were 45.5 and 59.9 microg/m(3) for the summer period, and 56.9 and 102.3 microg/m(3) for the winter period, respectively. A varimax rotated factor analysis (FA) was performed separately on indoor and outdoor datasets in an effort to identify possible heavy metal sources of PM2.5 and PM10 particle fractions. FA of outdoor data produced source categories comprising polluted soil, industry, motor vehicles, and fossil fuel combustion for both PM fractions, while source categories determined for indoor data for both PM2.5 and PM10 comprised industry, polluted soil, motor vehicles, and smoking, with an additional source category of cooking activities detected for the PM2.5 fraction. Practical Implications In buildings close to industrial areas or traffic arteries, outdoor sources may have an important effect on indoor air pollution. Therefore, indoor and outdoor investigations should be conducted simultaneously to assess the relationship between indoor and outdoor pollution. This study presents the simultaneous measurement of PM fractions (PM2.5 and PM10) and their elemental compositions to determine the sources of respirable PM and the heavy metals bound to these particles in indoor air. Factor analysis of indoor data indicated that the contribution of outdoor

  8. Seasonal variations and chemical characterization of ambient PM 10 at residential and industrial sites of an urban region of Kolkata (Calcutta), India

    Science.gov (United States)

    Karar, Kakoli; Gupta, A. K.

    2006-07-01

    Monitoring of ambient PM 10 (particulate matter which passes through a size selective impactor inlet with a 50% efficiency cut-off at 10 μm aerodynamic diameter) has been done at residential (Kasba) and industrial (Cossipore) sites of an urban region of Kolkata during November 2003 to November 2004. The measurements have been performed once a week during the study period. PM 10 mass concentrations ranged from 68.2 to 280.6 μg/m 3 at a residential site and 62.4 to 401.2 μg/m 3 at an industrial site. Metal constituents of ambient PM 10 deposited on quartz microfibre filter papers were identified using Inductively Coupled Plasma Atomic Emission Spectrometer (ICP-AES). Chromium (Cr), zinc (Zn), lead (Pb), cadmium (Cd), nickel (Ni), manganese (Mn) and iron (Fe) are the seven toxic trace metals quantified from the measured PM 10 concentrations. Results identified zinc with maximum contribution of PM 10 among measured metals having concentrations of 0.49 μg/m 3 at the residential site, and 0.53 μg/m 3 at the industrial site. The PAH (polycyclic aromatic hydrocarbon) compounds namely, fluoranthene (Fl), pyrene (Py), benzo(a)anthracene (BaA), benzo(b)fluoranthene (BbF) and benzo(a)pyrene (BaP) have been analyzed using gas chromatography. The major PAH compound at the monitoring sites was BbF with 0.03 μg/m 3 at the residential site and 0.02 μg/m 3 at the industrial site. Total carbon (TC), inorganic carbon (IC) and organic carbon (OC) of PM 10 were analyzed using a carbon analyzer. Exposed quartz microfibre filter papers were also analyzed for water-soluble anions of fluoride (F -), chloride (Cl -), nitrate (NO 3-), phosphate (PO 43-) and sulfate (SO 42-) using ion chromatography. Sulfate was found in maximum concentration among anionic species with a value of 1.2 μg/m 3 at the residential site, and 1.7 μg/m 3 at the industrial site. Meteorological parameters such as wind speed, wind direction, rainfall, temperature and relative humidity were collected

  9. Polybrominated diphenyl ethers (PBDEs) in PM2.5, PM10, TSP and gas phase in office environment in Shanghai, China: occurrence and human exposure.

    Science.gov (United States)

    Li, Yue; Chen, Ling; Ngoc, Duong Minh; Duan, Yan-Ping; Lu, Zhi-Bo; Wen, Zhi-Hao; Meng, Xiang-Zhou

    2015-01-01

    To evaluate risk via inhalation exposure of polybrominated diphenyl ethers (PBDEs) in office environment, thirty-six pairs air samples including PM2.5 (particles with aerodynamic diameter less than 2.5 μm), PM10 (particles with aerodynamic diameter less than 10 μm), total suspended particles (TSP) with matching gas phase were collected in office environment in Shanghai, China. The average concentrations of PM2.5, PM10 and TSP were 20.4, 27.2 and 50.3 μg/m3, respectively. Σ15PBDEs mean concentrations in PM2.5, PM10, TSP and gas phase were 51.8, 110.7, 148 and 59.6 pg/m3, respectively. Much more PBDEs distributed in fine fractions than coarse ones. PBDEs congener profiles found in PM2.5, PM10 and TSP (dominated by BDE-209) were different from that in gas phase (dominated by the tri- to penta-BDEs). Approximately 3.20 pg/kg/d PM2.5 bound PBDEs can be inhaled into the lung; 3.62 pg/kg/d PM10-PM2.5(particles with aerodynamic diameter of 2.5-10 μm) bound PBDEs tended to be deposited in the upper part of respiratory system, and the intake of PBDEs via gas-phase was 2.74 pg/kg/d. The exposure of PBDEs was far below the minimal risk levels (MRLs), indicating lower risk from PBDEs via inhalation in the studied office in Shanghai.

  10. Análisis del origen de PM10 y PM2.5 en Bogotá usando gráficos polares (Analysis of the origin of PM10 and PM2.5 in Bogota by using polar plots

    Directory of Open Access Journals (Sweden)

    Pedro Alejandro García Ávila

    2016-09-01

    Full Text Available Determinar la procedencia de los contaminantes del aire registrados por una red de monitoreo es fundamental para diseñar acciones de prevención y control de la contaminación. Con este fin, se analizaron, mediante la aplicación Openair®, los registros de material particulado (PM10 y PM2.5, velocidad y dirección de los vientos, en 10 estaciones de monitoreo de calidad del aire en Bogotá para el período 2009-2011, encontrándose la influencia de fuentes locales y regionales. Se determinaron altas concentraciones de material particulado relacionadas con velocidades de viento superiores a 5 m/s procedentes del occidente, lo cual sugiere un transporte regional de contaminantes desde los municipios vecinos del occidente de la ciudad (Soacha, Funza, Mosquera, Madrid, hacia su centro geográfico. Estos municipios concentran actividad industrial y transporte pesado de bienes desde y hacia Bogotá. Las fuentes localizadas al interior de la ciudad, en particular aquellas que emplean carbón como combustible y las fuentes móviles que transitan sobre las vías principales, contribuyen a generar altos niveles de material particulado cuando los vientos son débiles, pero en menor magnitud que las fuentes externas. (Abstract. The design of pollution prevention strategies and plans requires information about the origin of the pollutants. In this work, particulate matter (PM10 and PM2.5, wind speed and wind direction records from 10 air quality monitoring stations in Bogota between 2009 and 2011 were analyzed using Openair®. The influence of local and regional sources was established. High concentrations of particulate matter associated with wind speeds exceeding 5 m/s from the West were found, suggesting regional transport from the neighboring municipalities of Soacha, Funza, Mosquera and Madrid, towards its geographic center. These municipalities have a significant industrial activity and heavy transport of goods to and from Bogota. Sources located

  11. Neural mechanisms underlying the reward-related enhancement of motivation when remembering episodic memories with high difficulty.

    Science.gov (United States)

    Shigemune, Yayoi; Tsukiura, Takashi; Nouchi, Rui; Kambara, Toshimune; Kawashima, Ryuta

    2017-04-04

    The motivation to receive rewards enhances episodic memories, and the motivation is modulated by task difficulty. In episodic retrieval, however, functional neuroimaging evidence regarding the motivation that mediates interactions between reward and task difficulty is scarce. The present fMRI study investigated this issue. During encoding performed without fMRI, participants encoded Japanese words using either deep or shallow strategies, which led to variation in difficulty level during subsequent retrieval. During retrieval with fMRI, participants recognized the target words in either high or low monetary reward conditions. In the behavioral results, a reward-related enhancement of memory was found only when the memory retrieval was difficult, and the rewarding effect on subjective motivation was greater in the retrieval of memories with high difficulty than those with low difficulty. The fMRI data showed that reward-related increases in the activation of the substantia nigra/ventral tegmental area (SN/VTA), medial temporal lobe (MTL), dorsomedial prefrontal cortex (dmPFC), and dorsolateral prefrontal cortex (dlPFC) were greater during the retrieval of memories with high difficulty than those with low difficulty. Furthermore, reward-related enhancement of functional connectivity between the SN/VTA and MTL and between the SN/VTA and dmPFC during the retrieval of memories with high difficulty was significantly correlated with reward-related increases of retrieval accuracy and subjective motivation. The reward-related enhancement of episodic retrieval and retrieval-related motivation could be most effective when the level of retrieval difficulty is optimized. Such reward-related enhancement of memory and motivation could be modulated by a network including the reward-related SN/VTA, motivation-related dmPFC, and memory-related MTL. Hum Brain Mapp, 2017. © 2017 Wiley Periodicals, Inc. © 2017 Wiley Periodicals, Inc.

  12. Characteristics of elemental and Pb isotopic compositions in aerosols (PM10-2.5) at the Ieodo Ocean Research Station in the East China Sea.

    Science.gov (United States)

    Lee, Sanghee; Han, Changhee; Shin, Daechol; Hur, Soon Do; Jun, Seong Joon; Kim, Young-Taeg; Byun, Do-Seong; Hong, Sungmin

    2017-12-01

    A total of 82 aerosol samples (PM10-2.5) were collected from June 18, 2015 to October 1, 2016 at the remote sea site, the Ieodo Ocean Research Station (IORS), in the East China Sea. Samples were analyzed for 10 elements (Al, Fe, Cu, Zn, As, Mo, Cd, Sb, Tl, and Pb) as well as Pb isotopic composition to characterize temporal variations in elemental concentration levels, and to identify the potential source regions of atmospheric pollutants transported over the remote East China Sea. The results showed that the annual average element concentrations were lowest compared to those at different sites in East Asia, suggesting a very clean background area of IORS, with values ranging from 114 ng m-3 for Al to 0.045 ng m-3 for Tl. Concentrations averaged seasonally for all the elements revealed the highest levels occurring between winter and spring, and the lowest levels in summer. High enrichment factors (EF) of more than 100 for trace elements suggest that these elements originated mostly from anthropogenic sources. Coupling the Pb isotopic composition with a back trajectory analysis identified the potential source regions for each sample. Our approach identified China as a dominant contributor affecting atmospheric composition changes at IORS, the remote area of the East China Sea. As the largest anthropogenic emission source in East Asia, China contributed to almost 100% of the elemental concentration levels in winter and spring, ∼53% in summer and ∼63% in autumn. Because IORS's ambient air is sensitive to even slight changes in pollutant loading due to the significantly low pollution levels, long-term monitoring of air quality at IORS will provide invaluable information on the progress and efforts of atmospheric pollution management linked to emission controls in East Asian countries, especially China. Copyright © 2017 Elsevier Ltd. All rights reserved.

  13. Variability of levels and composition of PM10 and PM2.5 in the Barcelona metro system

    Science.gov (United States)

    Querol, X.; Moreno, T.; Karanasiou, A.; Reche, C.; Alastuey, A.; Viana, M.; Font, O.; Gil, J.; de Miguel, E.; Capdevila, M.

    2012-06-01

    From an environmental perspective, the underground metro system is one of the cleanest forms of public transportation in urban agglomerations. Current studies report contradicting results regarding air quality in the metro systems: whereas some reveal poor air quality, others report PM levels which are lower or of the same order of magnitude than those measured in traffic sites above ground level. The present work assesses summer and winter indoor air quality and passenger exposure in the Barcelona metro, focusing on PM levels and their metal contents. In addition, the impact on indoor air quality of platform screen door systems (automated systems consisting of closed rail track and platforms) is evaluated, to determine whether these systems reduce passenger exposure to PM when compared with conventional systems (open tracks and platforms). In the Barcelona metro PM levels inside the trains in summer are amongst the lowest reported for worldwide metro systems (11-32 μg m-3 PM2.5). This is most likely due to the air conditioning system working in all carriages of the Barcelona metro during the whole year. Levels were considerably higher on the platforms, reaching mean levels of 46 and 125 μg m3 in the new (L9) and old (L3) lines, respectively. PM10 data are also reported in the present study, but comparison with other metro systems is difficult due to the scarcity of data compared with PM2.5. Results showed distinct PM daily cycles, with a drastic increase from 06:00 to 07:00 a.m., a diurnal maximum from 07:00 to 10:00 p.m., and marked decrease between 10:00 p.m. and 05:00 a.m. The elements with the highest enrichment were those associated with wheel or brake abrasion products (Ba, Fe, Cu, Mn, Cr, Sb, As, Mo, Co, Sr, among others). Laminar hematite (Fe2O3) was the dominant particle type, being mainly originated by mechanical abrasion of the rail track and wheels. Regarding passenger exposure to PM, the contribution of commuting by metro was estimated to account

  14. Variability of levels and composition of PM10 and PM2.5 in the Barcelona metro system

    Directory of Open Access Journals (Sweden)

    E. de Miguel

    2012-06-01

    Full Text Available From an environmental perspective, the underground metro system is one of the cleanest forms of public transportation in urban agglomerations. Current studies report contradicting results regarding air quality in the metro systems: whereas some reveal poor air quality, others report PM levels which are lower or of the same order of magnitude than those measured in traffic sites above ground level. The present work assesses summer and winter indoor air quality and passenger exposure in the Barcelona metro, focusing on PM levels and their metal contents. In addition, the impact on indoor air quality of platform screen door systems (automated systems consisting of closed rail track and platforms is evaluated, to determine whether these systems reduce passenger exposure to PM when compared with conventional systems (open tracks and platforms. In the Barcelona metro PM levels inside the trains in summer are amongst the lowest reported for worldwide metro systems (11–32 μg m−3 PM2.5. This is most likely due to the air conditioning system working in all carriages of the Barcelona metro during the whole year. Levels were considerably higher on the platforms, reaching mean levels of 46 and 125 μg m3 in the new (L9 and old (L3 lines, respectively. PM10 data are also reported in the present study, but comparison with other metro systems is difficult due to the scarcity of data compared with PM2.5. Results showed distinct PM daily cycles, with a drastic increase from 06:00 to 07:00 a.m., a diurnal maximum from 07:00 to 10:00 p.m., and marked decrease between 10:00 p.m. and 05:00 a.m. The elements with the highest enrichment were those associated with wheel or brake abrasion products (Ba, Fe, Cu, Mn, Cr, Sb, As, Mo, Co, Sr, among others. Laminar hematite (Fe2O3 was the dominant particle type, being mainly originated by mechanical abrasion of the rail track and wheels. Regarding passenger exposure to PM, the contribution of commuting by metro was

  15. Investigation of Ground-Level Ozone and High-Pollution Episodes in a Megacity of Eastern China.

    Science.gov (United States)

    Zhao, Heng; Wang, Shanshan; Wang, Wenxin; Liu, Rui; Zhou, Bin

    2015-01-01

    Differential Optical Absorption Spectroscopy (DOAS) was used for the long-term observation of ground-level ozone (O3) from March 2010 to March 2013 over Shanghai, China. The 1-hour average concentration of O3 was 27.2 ± 17.0 ppbv. O3 level increased during spring, reached the peak in late spring and early summer, and then decreased in autumn and finally dropped to the bottom in winter. The highest monthly average O3 concentration in June (41.1 ppbv) was nearly three times as high as the lowest level recorded in December (15.2 ppbv). In terms of pollution episodes, 56 hourly samples (on 14 separate days) in 2010 exceeded the 1-hour ozone limit of 200 μg/m3 specified by the Grade II of the Chinese Ambient Air Quality Standards (CAAQS, revised GB 3095-2012). Utilizing the Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model, the primary contribution to high ozone days (HODs) was identified as the regional transportation of volatile organic compounds (VOC) and high concentrations of O3 from the chemical industrial zone in the Jinshan district of Shanghai. HODs showed higher concentrations of HONO and NO2 than non-episode conditions, implying that HONO at high concentration during HODs was capable of increasing the O3 concentration. The photolysis rate of HONO was estimated, suggesting that the larger number of OH radicals resulting from high concentrations of HONO have a considerable impact on ozone concentrations.

  16. Highly episodic fire and erosion regime over the past 2,000 y in the Siskiyou Mountains, Oregon

    Science.gov (United States)

    Colombaroli, Daniele; Gavin, Daniel G.

    2010-01-01

    Fire is a primary mode of natural disturbance in the forests of the Pacific Northwest. Increased fuel loads following fire suppression and the occurrence of several large and severe fires have led to the perception that in many areas there is a greatly increased risk of high-severity fire compared with presettlement forests. To reconstruct the variability of the fire regime in the Siskiyou Mountains, Oregon, we analyzed a 10-m, 2,000-y sediment core for charcoal, pollen, and sedimentological data. The record reveals a highly episodic pattern of fire in which 77% of the 68 charcoal peaks before Euro-American settlement cluster within nine distinct periods marked by a 15-y mean interval. The 11 largest charcoal peaks are significantly related to decadal-scale drought periods and are followed by pulses of minerogenic sediment suggestive of rapid sediment delivery. After logging in the 1950s, sediment load was increased fourfold compared with that from the most severe presettlement fire. Less severe fires, marked by smaller charcoal peaks and no sediment pulses, are not correlated significantly with drought periods. Pollen indicators of closed forests are consistent with fire-free periods of sufficient length to maintain dense forest and indicate a fire-triggered switch to more open conditions during the Medieval Climatic Anomaly. Our results indicate that over millennia fire was more episodic than revealed by nearby shorter tree-ring records and that recent severe fires have precedents during earlier drought episodes but also that sediment loads resulting from logging and road building have no precedent in earlier fire events.

  17. Characterization of aerosol particle episodes in Finland caused by wildfires in Eastern Europe

    Directory of Open Access Journals (Sweden)

    J. V. Niemi

    2005-01-01

    Full Text Available We studied the sources, compositions and size distributions of aerosol particles during long-range transport (LRT PM2.5 episodes which occurred on 12–15 August, 26–28 August and 5–6 September 2002 in Finland. Backward air mass trajectories, satellite detections of fire areas and dispersion modelling results indicate that emissions from wildfires in Russia and other Eastern European countries arrived in Finland during these episodes. Elemental analyses using scanning electron microscopy (SEM coupled with energy dispersive X-ray microanalyses (EDX showed that the proportions of S-rich particles and agglomerates (agglomeration was caused partly by the sampling method used increased during the episodes, and they contained elevated fractions of K, indicating emissions from biomass burning. These aerosols were mixed with S-rich emissions from fossil fuel burning during transport since air masses came through polluted areas of Europe. Minor amounts of coarse Ca-rich particles were also brought by LRT during the episodes, and they probably originated from wildfires and/or from Estonian and Russian oil-shale-burning industrial areas. Ion chromatography analysis showed that concentrations of sulphate (SO42-, total nitrate (NO3-+HNO3(g and total ammonium (NH4++NH3(g increased during the episodes, but the ratio of the total amount of these ions to PM10 concentration decreased, indicating unusually high fractions of other chemical components. Particle number size distribution measurements with differential mobility particle sizer (DMPS revealed that concentrations of particles 90–500 nm increased during the episodes, while concentrations of particles smaller than 90 nm decreased. The reduction of the smallest particles was caused by suppressed new particle formation due to vapour and molecular cluster uptake of LRT particles. Our results show that emissions from wildfires in Russian and other Eastern European countries deteriorated air quality of

  18. MODELADO DE PARTÍCULAS PM10 Y PM2.5 MEDIANTE REDES NEURONALES ARTIFICIALES SOBRE CLIMA TROPICAL DE SAN FRANCISCO DE CAMPECHE, MÉXICO

    Directory of Open Access Journals (Sweden)

    Alberto Antonio Espinosa Guzmán

    Full Text Available In this paper, a computational methodology based on Artificial Neural Networks (ANN was developed to estimate the index of PM10 and PM2.5 concentration in air of San Francisco de Campeche city. A three layer ANN architecture was trained using an experimental database composed by days of the week, time of day, ambient temperature, atmospheric pressure, wind speed, wind direction, relative humidity, and solar radiation. The best ANN architecture, composed by 30 neurons in hidden layer, was obtained using the Levenberg-Marquardt (LM optimization algorithm, logarithmic sigmoid and linear transfer functions. Model results generate predictions with a determination coefficient of 93.01% and 90.10% for PM2.5 and PM10, respectively. The proposed methodology can be implemented in several studies as public health, environmental studies, urban development, and degradation of historical monuments.

  19. A new method to estimate air-quality levels using a synoptic-regression approach. Part I: Present-day O 3 and PM 10 analysis

    Science.gov (United States)

    Demuzere, Matthias; van Lipzig, Nicole P. M.

    2010-03-01

    In order to make projections for future air-quality levels, a robust methodology is needed that succeeds in reconstructing present-day air-quality levels. At present, climate projections for meteorological variables are available from Atmospheric-Ocean Coupled Global Climate Models (AOGCMs) but the temporal and spatial resolution is insufficient for air-quality assessment. Therefore, a variety of methods are tested in this paper in their ability to hindcast maximum 8 hourly levels of O 3 and daily mean PM 10 from observed meteorological data. The methods are based on a multiple linear regression technique combined with the automated Lamb weather classification. Moreover, we studied whether the above-mentioned multiple regression analysis still holds when driven by operational ECMWF (European Center for Medium-Range Weather Forecast) meteorological data. The main results show that a weather type classification prior to the regression analysis is superior to a simple linear regression approach. In contrast to PM 10 downscaling, seasonal characteristics should be taken into account during the downscaling of O 3 time series. Apart from a lower explained variance due to intrinsic limitations of the regression approach itself, a lower variability of the meteorological predictors (resolution effect) and model deficiencies, this synoptic-regression-based tool is generally able to reproduce the relevant statistical properties of the observed O 3 distributions important in terms of European air quality Directives and air quality mitigation strategies. For PM 10, the situation is different as the approach using only meteorology data was found to be insufficient to explain the observed PM 10 variability using the meteorological variables considered in this study.

  20. Chemical Characterization and Particulate Distribution of PM10 and PM2.5 at Critically Polluted Area of Dhanbad/Jharia Coalfield Debananda Roy1 & Gurdeep Singh

    OpenAIRE

    Debananda Roy; Gurdeep Singh

    2014-01-01

    This paper deals with chemical characterization of PM10 and PM2.5 mass concentrations estimated at different receptors of critically polluted area of Dhanbad/Jharia coalfield during post-monsoon, winter and summer seasons. Eighteen monitoring stations were selected considering sources of pollution covering mining, industrial, commercial and residential areas apart from siting criteria as per IS: 5182 Part XIV. Air quality monitoring has been carried out following standard meth...

  1. Source apportionment of PM(10) and PM(2.5) at multiple sites in the strait of Gibraltar by PMF: impact of shipping emissions.

    Science.gov (United States)

    Pandolfi, Marco; Gonzalez-Castanedo, Yolanda; Alastuey, Andrés; de la Rosa, Jesus D; Mantilla, Enrique; de la Campa, A Sanchez; Querol, Xavier; Pey, Jorge; Amato, Fulvio; Moreno, Teresa

    2011-02-01

    The impact of shipping emissions on urban agglomerations close to major ports and vessel routes is probably one of the lesser understood aspects of anthropogenic air pollution. Little research has been done providing a satisfactory comprehension of the relationship between primary pollutant emissions, secondary aerosols formation and resulting air quality. In this study, multi-year (2003-2007) ambient speciated PM(10) and PM(2.5) data collected at four strategic sampling locations around the Bay of Algeciras (southern Spain), and positive matrix factorisation model were used to identify major PM sources with particular attention paid to the quantification of total shipping emissions. The impact of the emissions from both the harbour of Algeciras and vessel traffic at the Western entrance of Mediterranean Sea (Strait of Gibraltar) were quantified. Ambient levels of V, Ni, La and Ce were used as markers to estimate PM emitted by shipping. Shipping emissions were characterised by La/Ce ratios between 0.6 and 0.8 and V/Ni ratios around 3 for both PM(10) and PM(2.5). In contrast, elevated La/Ce values (1-5) are attributable to emissions from refinery zeolitic fluid catalytic converter plant, and low average V/Ni values (around 1) result mainly from contamination from stainless steel plant emissions. The direct contribution from shipping in the Bay of Algeciras was estimated at 1.4-2.6 μg PM(10)/m(3) (3-7%) and 1.2-2.3 μg PM(2.5)/m(3) (5-10%). The total contribution from shipping (primary emissions + secondary sulphate aerosol formation) reached 4.7 μg PM(10)/m(3) (13%) and 4.1 μg PM(2.5)/m(3) (17%).

  2. Chemical composition, structural properties, and source apportionment of organic macromolecules in atmospheric PM10in a coastal city of Southeast China.

    Science.gov (United States)

    Chen, Yanting; Du, Wenjiao; Chen, Jinsheng; Hong, Youwei; Zhao, Jinping; Xu, Lingling; Xiao, Hang

    2017-02-01

    Particulate matter (PM 10 ) associated with the fractions of organic macromolecules, including humic acid (HA), kerogen + black carbon (KB), and black carbon (BC), was determined during summer and winter at urban and suburban sites in a coastal city of southeast China. The organic macromolecules were characterized by elemental analysis (EA), scanning electron microscopy (SEM), and Fourier transform infrared spectroscopy (FTIR), and their sources were identified by using stable carbon/nitrogen isotope (δ 13 C/δ 15 N) and the Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) Model. The results showed that HA, kerogen (K), and BC accounted for the range of 3.89 to 4.55 % in PM 10 , while they were the dominant fractions of total organic carbon (TOC), ranging from 64.70 to 84.99 %. SEM analysis indicated that BC particles were porous/nonporous and consisted of spherical and non-spherical (i.e., cylindrical and elongate) structures. The FTIR spectra of HA, KB, and BC exhibited similar functional groups, but the difference of various sites and seasons was observed. HA in PM 10 contained a higher fraction of aliphatic structures, such as long-chain fatty and carbohydrates with a carboxylic extremity. The C/N ratio, SEM, and δ 13 C/δ 15 N values provided reliable indicators of the sources of HA, K, and BC in PM 10 . The results suggested that HA and K majorly originated from terrestrial plants, and BC came from the mixture of combustion of terrestrial plants, fossil fuel, and charcoal. The air masses in winter originated from Mongolia (4 %), the northern area of China (48 %), and northern adjacent cities (48 %), suggesting the influence of anthropogenic sources through long-range transport, while the air masses for the summer period came from South China Sea (34 %) and Western Pacific Sea (66 %), representing clean marine air masses with low concentrations of organic macromolecules.

  3. PM10 and PM2.5 chemical source profiles with optical attenuation and health risk indicators of paved and unpaved road dust in Bhopal, India.

    Science.gov (United States)

    Samiksha, Shilpi; Sunder Raman, Ramya; Nirmalkar, Jayant; Kumar, Samresh; Sirvaiya, Rohit

    2017-03-01

    Size classified (PM10 and PM2.5) paved and unpaved road dust chemical source profiles, optical attenuation and potential health risk from exposure to these sources are reported in this study. A total of 45 samples from 9 paved road and 6 unpaved road sites located in and around Bhopal were re-suspended in the laboratory, collected onto filter substrates and subjected to a variety of chemical analyses. In general, road dust was enriched (compared to upper continental crustal abundance) in anthropogenic pollutants including Sb, Cu, Zn, Co, and Pb. Organic and elemental carbon (OC/EC) in PM10 and PM2.5 size fractions were 50-75% higher in paved road dust compared to their counterparts in unpaved road dust. Further, the results suggest that when it is not possible to include carbon fractions in source profiles, the inclusion of optical attenuation is likely to enhance the source resolution of receptor models. Additionally, profiles obtained in this study were not very similar to the US EPA SPECIATE composite profiles for PM10 and PM2.5, for both sources. Specifically, the mass fractions of Si, Fe, OC, and EC were most different between SPECIATE composite profiles and Bhopal composite profiles. An estimate of health indicators for Bhopal road dust revealed that although Cr was only marginally enriched, its inhalation may pose a health risk. The estimates of potential lifetime incremental cancer risk induced by the inhalation of Cr in paved and unpaved road dust (PM10 and PM2.5) for both adults and children were higher than the baseline values of acceptable risk. These results suggest that road dust Cr induced carcinogenic risk should be further investigated. Copyright © 2016 Elsevier Ltd. All rights reserved.

  4. Identification of possible sources of atmospheric PM10 using particle size, SEM-EDS and XRD analysis, Jharia Coalfield Dhanbad, India.

    Science.gov (United States)

    Roy, Debananda; Singh, Gurdeep; Gosai, Nitin

    2015-11-01

    Identification of responsible sources of pollution using physical parameter particulate matter (PM)10 in a critically polluted area is discussed in this paper. Database was generated by Ambient Air Quality Monitoring (AAQM) with respect to PM10 and PM2.5 in 18 monitoring stations at Jharia coalfield as per the siting criteria (IS: 5182, Part XIV) during 2011 to 2012. Identification of the probable sources of PM10 was carried out through particle size, shape, morphology analysis (scanning electron microscopy (SEM)), suitable compounds (X-ray diffraction (XRD)) and elements (energy-dispersive spectroscopy (EDS)). Monitoring stations nearby opencast mine were affected by the big-sized and irregular-shaped particles; on the other hand, monitoring stations nearby city were affected by the small-sized and regular-shaped particles. In a city area, additional sources like diesel generator (DG) set, construction activities, coal burning, etc., were identified. Blistering effects were also observed in the particles from mine fire-affected areas. Using the X-ray diffraction technique, presence of FeS2, CuO, FeSO4 and CuSO4 compounds was observed, which indicates the effects of mine fire on particulate emission due to presence of SO4(2-) and S2- ions.

  5. Effect of particulate matter less than 10µm (PM10) on mortality in Bogota, Colombia: a time-series analysis, 1998-2006.

    Science.gov (United States)

    Blanco-Becerra, Luis Camilo; Miranda-Soberanis, Víctor; Hernández-Cadena, Leticia; Barraza-Villarreal, Albino; Junger, Washington; Hurtado-Díaz, Magali; Romieu, Isabelle

    2014-01-01

    To analyze the association between daily mortality from different causes and acute exposure to particulate matter less than 10 microns in aerodynamic diameter (PM10), in Bogota, Colombia. A time-series ecological study was conducted from 1998 to 2006. The association between mortality (due to different causes) and exposure was analyzed using single and distributed lag models and adjusting for potential confounders. For all ages, the cumulative effect of acute mortality from all causes and respiratory causes increased 0.71% (95%CI 0.46-0.96) and 1.43% (95%CI 0.85-2.00), respectively, per 10µg/m³ increment in daily average PM10 with a lag of three days before death. Cumulative effect of mortality from cardiovascular causes was -0.03% (95%CI -0.49-0.44%) with the same lag. The results suggest an association between an increase in PM10 concentrations and acute mortality from all causes and respiratory causes.

  6. Effect of particulate matter less than 10μm (PM10 on mortality in Bogota, Colombia: a time-series analysis, 1998-2006

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    Luis Camilo Blanco-Becerra

    2014-07-01

    Full Text Available Objective. To analyze the association between daily mortality from different causes and acute exposure to particulate matter less than 10 microns in aerodynamic diameter (PM10, in Bogota, Colombia. Materials and methods. A time-series ecological study was conducted from 1998 to 2006. The association between mortality (due to different causes and exposure was analyzed using single and distributed lag models and adjusting for potential confounders. Results. For all ages, the cumulative effect of acute mortality from all causes and respiratory causes increased 0.71% (95%CI 0.46-0.96 and 1.43% (95%CI 0.85-2.00, respectively, per 10μg/m3 increment in daily average PM10 with a lag of three days before death. Cumulative effect of mortality from cardiovascular causes was -0.03% (95%CI -0.49-0.44% with the same lag. Conclusions. The results suggest an association between an increase in PM10 concentrations and acute mortality from all causes and respiratory causes.

  7. Impact of Dust on Air Quality and Radiative Forcing : AN Episodic Study for the Megacity Istanbul Using RegCM4.1

    Science.gov (United States)

    Agacayak, T.; Kindap, T.; Unal, A.; Mallet, M.; Pozzoli, L.; Karaca, M.; Solmon, F.

    2012-04-01

    Istanbul is a megacity (with population over 15 million) that has significant levels of Particulate Matter concentrations. It is suspected that long-range transport of Saharan dust is one of the main contributors. The purpose of this study is to investigate the relationship between high PM concentrations and dust transport using atmospheric modeling, satellite data as well as in-situ observations. Measurements of PM10 concentrations at 10 different stations in Istanbul for the period 2004-2010 were provided by the Turkish Ministry of Environment. Daily mean PM10 concentrations exceeding the European standard of 50 µg/m3 were found to be, on average, 49 days for the Spring period, 45 days for the Winter period, and 41 days for the Fall period. DREAM model output (Nickovic et al. 2001; Perez et al. 2006) suggests that high PM10 concentrations correlate highly with mineral dust transport episodes from Saharan desert (i.e., 23% for winter and 58% for spring). In this study, we have utilized RegCM4.1 model to further investigate the Saharan dust transport in the selected episodes. During the period between March 21st and 24th, 2008, observed daily mean of PM10 concentrations reach up to 140 µg/m3 in Istanbul. Simulations conducted by RegCM4.1 provides AOD (350-640 nm model band) values ranging between 0.04 and 0.98during this episode. Central Anatolia is affected from the dust transport on 21 and 22 March 2008, with a daily mean AOD of 0.9. On 23th March 2008, the dust plume reaches the Marmara Sea and AOD increases about 1.0 over the region according to both DREAM and RegCM4.1 model outputs. On the fourth day of the episode, the dust event stops and AOD decreases to 0.5 over the region. Asymmetry parameters can be seen as 0.62 during the dust episode, while single scattering albedo is about 0.93 during the entire dust episode over Istanbul. The effect of the dust episode on the regional radiative budget over Istanbul was also estimated. Model results indicate a daily

  8. Exploring the modeling of spatiotemporal variations in ambient air pollution within the land use regression framework: Estimation of PM10 concentrations on a daily basis.

    Science.gov (United States)

    Alam, Md Saniul; McNabola, Aonghus

    2015-05-01

    Estimation of daily average exposure to PM10 (particulate matter with an aerodynamic diameterPM10. Using the concept of multiple linear regression (MLR) modeling, the average daily concentrations of PM10 in two European cities, Vienna and Dublin, were modeled. Models were initially developed using the standard MLR approach in Vienna using the most recently available data. Efforts were subsequently made to (i) assess the stability of model predictions over time; (ii) explores the applicability of nonparametric regression (NPR) and artificial neural networks (ANNs) to deal with the nonlinearity of input variables. The predictive performance of the MLR models of the both cities was demonstrated to be stable over time and to produce similar results. However, NPR and ANN were found to have more improvement in the predictive performance in both cities. Using ANN produced the highest result, with daily PM10 exposure predicted at R2=66% for Vienna and 51% for Dublin. In addition, two new predictor variables were also assessed for the Dublin model. The variables representing transboundary air pollution and peak traffic count were found to account for 6.5% and 12.7% of the variation in average daily PM10 concentration. The variable representing transboundary air pollution that was derived from air mass history (from back-trajectory analysis) and population density has demonstrated a positive impact on model performance. The implications of this research would suggest that it is possible to produce a model of ambient air quality on a citywide scale using the readily available data. Most European cities typically have a limited FSM network with average daily concentrations of air pollutants as well as available meteorological, traffic, and land-use data. This research highlights that using these data in combination with advanced statistical techniques such as NPR or ANNs will produce reasonably accurate predictions of ambient air quality across a city, including temporal

  9. The Effects of Runaway-Homeless Episodes on High School Dropout

    Science.gov (United States)

    Aratani, Yumiko; Cooper, Janice L.

    2015-01-01

    This article uses data from the National Longitudinal Survey of Youth 1997 to examine the relationship between running away from home between the ages of 12 and 14 and dropping from high school among youth. Propensity score matching was conducted in estimating the effect of running away on high school dropout while controlling for confounding…

  10. PM source apportionment and trace metallic aerosol affinities during atmospheric pollution episodes: a case study from Puertollano, Spain.

    Science.gov (United States)

    Moreno, Teresa; Querol, Xavier; Alastuey, Andrés; García do Santos, Saúl; Fernández Patier, Rosalia; Artiñano, Begoña; Gibbons, Wes

    2006-10-01

    Source apportionment study was performed, applying principal component analysis to the results of 221 chemical analyses of PM10 and PM2.5 samples collected daily from the industrial (but low traffic) Spanish town of Puertollano over a 14-month period during 2004-2005. Results reveal compositional variations attributable to different mixtures of natural and anthropogenic materials, mainly soil and rock dust (crustal), marine salt (only in PM10), petrochemical refinery emissions, and particles attributed to the combustion of local coal, which is unusually rich in Pb and Sb. During the study period there were 34 pollution episodes when PM10 exceeded 50 tg m(-3), mostly due to winter air temperature inversions, regional atmospheric stagnation, or African dust incursions (North African, NAF days: usually in summer). Whereas the crustal component during NAF episodes averaged 52% with a PM2.5/PM10 ratio of 0.54, this dropped to 29% and a PM2.5/PM10 of 0.67 during non-NAF days when anthropogenic materials predominated. Abnormally enhanced concentrations of pathfinder metallic trace elements provide additional evidence for source apportionment: thus aerosols with raised levels of Pb and Sb are associated with local coal combustion, Ni and V can be linked to petrochemical PM emissions, and Ti, Mn, Rb, and Ce are particularly characteristic of crustal dust incursions.

  11. Practicalities of mapping PM10and PM2.5concentrations on city-wide scales using a portable particulate monitor.

    Science.gov (United States)

    Deary, Michael E; Bainbridge, Samantha J; Kerr, Amy; McAllister, Adam; Shrimpton, Thomas

    2016-01-01

    Fine particulate matter is considered to be the most significant ambient air pollutant in terms of potential health impacts. Therefore, it is important that regulators are able to accurately assess the exposure of populations to PM 10 and PM 2.5 across municipal areas. We report on the practicalities of using a laser light scattering portable particulate monitor (Turnkey Instruments DustMate), in combination with a GPS, to map PM 10 and PM 2.5 concentrations on city-wide scales in Newcastle upon Tyne/Gateshead (UK), during a series of walking surveys. A heated inlet is necessary to remove moisture droplets from the sampled air prior to analysis by the instrument, though this also results in the loss of volatile particulate components, particularly from the PM 2.5 fraction. A co-location calibration study was carried out with a reference urban background Tapered Element Oscillating Micro-Balance/Filter Dynamics Measuring System (TEOM-FDMS) system in Newcastle that is part of the UK's Automatic Urban and Rural Network (AURN) of air quality monitoring stations. For PM 10 , orthogonal regression of the DustMate against TEOM-FDMS data gave a slope and intercept of 1.02 ± 0.06 and -3.7 ± 1.2, respectively ( R 2  = 0.73), whereas for PM 2.5 , the respective values were 0.78 ± 0.06 and -0.63 ± 0.55 ( R 2  = 0.79). These parameters are comparable to literature calibration studies using this technology. There was good agreement between simultaneous samples taken using two DustMate instruments: for PM 10 , a slope and intercept of 1.05 ± 0.03 and 0.36 ± 0.5, respectively ( R 2  = 0.73), were obtained, whereas for the PM 2.5 , the respective values were 0.79 ± 0.01 and 0.19 ± 0.06 ( R 2  = 0.86). Correction factors based on the slope and intercepts obtained from the calibration exercise were applied to raw data collected from the DustMate. An annually-normalised correction procedure was then used to account for different

  12. Concentrations and source apportionment of PM10 and associated elemental and ionic species in a lignite-burning power generation area of southern Greece.

    Science.gov (United States)

    Argyropoulos, G; Grigoratos, Th; Voutsinas, M; Samara, C

    2013-10-01

    Ambient concentrations of PM10 and associated elemental and ionic species were measured over the cold and the warm months of 2010 at an urban and two rural sites located in the lignite-fired power generation area of Megalopolis in Peloponnese, southern Greece. The PM10 concentrations at the urban site (44.2 ± 33.6 μg m(-3)) were significantly higher than those at the rural sites (23.7 ± 20.4 and 22.7 ± 26.9 μg m(-3)). Source apportionment of PM10 and associated components was accomplished by an advanced computational procedure, the robotic chemical mass balance model (RCMB), using chemical profiles for a variety of local fugitive dust sources (power plant fly ash, flue gas desulfurization wet ash, feeding lignite, infertile material from the opencast mines, paved and unpaved road dusts, soil), which were resuspended and sampled through a PM10 inlet onto filters and then chemically analyzed, as well as of other common sources such as vehicular traffic, residential oil combustion, biomass burning, uncontrolled waste burning, marine aerosol, and secondary aerosol formation. Geological dusts (road/soil dust) were found to be major PM10 contributors in both the cold and warm periods of the year, with average annual contribution of 32.6 % at the urban site vs. 22.0 and 29.0 % at the rural sites. Secondary aerosol also appeared to be a significant source, contributing 22.1 % at the urban site in comparison to 30.6 and 28.7 % at the rural sites. At all sites, the contribution of biomass burning was most significant in winter (28.2 % at the urban site vs. 14.6 and 24.6 % at the rural sites), whereas vehicular exhaust contribution appeared to be important mostly in the summer (21.9 % at the urban site vs. 11.5 and 10.5 % at the rural sites). The highest contribution of fly ash (33.2 %) was found at the rural site located to the north of the power plants during wintertime, when winds are favorable. In the warm period, the highest contribution of fly ash was found at the

  13. CARACTERIZACIÓN QUÍMICA DE MATERIAL PARTICULADO PM10 EN LA ATMÓSFERA DE RIOHACHA-LA GUAJIRA COLOMBIA

    Directory of Open Access Journals (Sweden)

    Calos Julio Doria Argumedo

    2017-01-01

    Full Text Available Teniendo en cuenta la importancia desde el punto de vista de la contaminación ambiental, que tienen las partículas inhalables PM 10 en ambientes urbanos, y que los efectos que se puedan generar en la salud dependen de la composición química del material formado por partículas, se realizó este estudio con el objetivo de revelar la composición química de las partículas atmosféricas a través de técnicas de Espectrofotometría UV-VIS y Espectrometría de Masas con fuente de Plasma de Acoplamiento, generados principalmente por fuentes naturales y antrópicas en la ciudad de Riohacha al norte de Colombia; para ello se recolectaron 30 muestras de partículas atmosféricas por medio de filtros de cuarzo con una frecuencia mensual, durante el período de marzo a diciembre de 2014. Las PM 10 presentan una concentración promedio de 52,9 µg/m 3 y los iones solubles de mayor concentración corresponden a Na + , Cl - , Ca +2 y Mg +2 . Las diferencias entre los sitios de muestreo no fueron significativas (p> 0,6. El 70% del Ca +2 es de origen no marino, atribuyéndose al suelo y al tráfico vehicular y peatonal. Conocer la composición química del material particulado, PM 10 tiene relevancia no sólo desde el punto de vista de la química de la atmósfera, sino también sobre la calidad del aire que se respira en las ciudades

  14. Caracterización Quimica de material particulado fraciión respirable pm 10 en la atmósfera de Rioacha la Guajira Colombia

    Directory of Open Access Journals (Sweden)

    Calos Julio Doria Argumedo

    2017-01-01

    Full Text Available Teniendo en cuenta la importancia desde el punto de vista de la contaminación ambiental, que tienen las partículas inhalables PM 10 en ambientes urbanos, y que los efectos que se puedan generar en la salud dependen de la composición química del material formado por partículas, se realizó este estudio con el objetivo de revelar la composición química de las partículas atmosféricas a través de técnicas de Espectrofotometría UV-VIS y Espectrometría de Masas con fuente de Plasma de Acoplamiento, generados principalmente por fuentes naturales y antrópicas en la ciudad de Riohacha al norte de Colombia; para ello se recolectaron 30 muestras de partículas atmosféricas por medio de filtros de cuarzo con una frecuencia mensual, durante el período de marzo a diciembre de 2014. Las PM 10 presentan una concentración promedio de 52,9 µg/m 3 y los iones solubles de mayor concentración corresponden a Na + , Cl - , Ca +2 y Mg +2 . Las diferencias entre los sitios de muestreo no fueron significativas (p> 0,6. El 70% del Ca +2 es de origen no marino, atribuyéndose al suelo y al tráfico vehicular y peatonal. Conocer la composición química del material particulado, PM 10 tiene relevancia no sólo desde el punto de vista de la química de la atmósfera, sino también sobre la calidad del aire que se respira en las ciudades.

  15. Seasonal variation of benzo(a)pyrene in the Spanish airborne PM10. Multivariate linear regression model applied to estimate BaP concentrations.

    Science.gov (United States)

    Callén, M S; López, J M; Mastral, A M

    2010-08-15

    The estimation of benzo(a)pyrene (BaP) concentrations in ambient air is very important from an environmental point of view especially with the introduction of the Directive 2004/107/EC and due to the carcinogenic character of this pollutant. A sampling campaign of particulate matter less or equal than 10 microns (PM10) carried out during 2008-2009 in four locations of Spain was collected to determine experimentally BaP concentrations by gas chromatography mass-spectrometry mass-spectrometry (GC-MS-MS). Multivariate linear regression models (MLRM) were used to predict BaP air concentrations in two sampling places, taking PM10 and meteorological variables as possible predictors. The model obtained with data from two sampling sites (all sites model) (R(2)=0.817, PRESS/SSY=0.183) included the significant variables like PM10, temperature, solar radiation and wind speed and was internally and externally validated. The first validation was performed by cross validation and the last one by BaP concentrations from previous campaigns carried out in Zaragoza from 2001-2004. The proposed model constitutes a first approximation to estimate BaP concentrations in urban atmospheres with very good internal prediction (Q(CV)(2)=0.813, PRESS/SSY=0.187) and with the maximal external prediction for the 2001-2002 campaign (Q(ext)(2)=0.679 and PRESS/SSY=0.321) versus the 2001-2004 campaign (Q(ext)(2)=0.551, PRESS/SSY=0.449). Copyright 2010 Elsevier B.V. All rights reserved.

  16. The cardioprotective effect of vanillic acid on hemodynamic parameters, malondialdehyde, and infarct size in ischemia-reperfusion isolated rat heart exposed to PM10

    Directory of Open Access Journals (Sweden)

    Esmat Radmanesh

    2017-07-01

    Full Text Available Objective(s: Particulate matter (PM exposure can promote cardiac ischemia and myocardial damage. The effects of PM10 on hemodynamic parameters, lipid peroxidation, and infarct size induced by ischemia-reperfusion injury and the protective effects of vanillic acid (VA in isolated rat heart were investigated. Materials and Methods: Eighty male Wistar rats (250–300 g were divided into 8 groups (n=10: Control, Sham, VAc, VA, PMa (0.5 mg/kg PM, intratracheal instillation, PMb (2.5 mg/kg PM, intratracheal instillation, PMc (5 mg/kg PM, intratracheal instillation, and PMc + VA (5 mg/kg PM, intratracheal instillation; and 10 mg/kg vanillic acid, gavage for 10 days. PM10 was instilled into the trachea in two stages, within 48 hr. After isolating the hearts and transfer to a Langendorff apparatus, hearts were subjected to 30 min ischemia and 60 min reperfusion. Hemodynamic parameters (±dp/dt, LVSP, LVDP, and RPP, production of lipid peroxidation (MDA, and infarct size were assessed. Results: A significant decrease in ±dp/dt, LVSP, LVDP and RPP occurred in PM groups. A significant increase in MDA and myocardial infarct size occurred in PM groups. A significant increase in LVDP, LVSP, ±dp/dt, RPP and decrease in infarct size, MDA, and myocardial dysfunction was observed in groups that received vanillic acid after ischemia–reperfusion. Conclusion: It was demonstrated that PM10 increases MDA, as well as the percentage of cardiac infarct size, and has negative effects on hemodynamic parameters. This study suggests that vanillic acid may serve as an adjunctive treatment in delaying the progression of ischemic heart disease.

  17. Meteorology and Chemistry of High Nitrogen Oxide Episodes at the South Pole

    Science.gov (United States)

    Neff, W. D.; Crawford, J. H.; Buhr, M. P.; Chen, G.; Nicovich, J. M.; Davis, D. D.

    2016-12-01

    High nitric oxide (NO) concentrations have been observed during four field studies at South Pole (Davis et al. 2004; Eisele et al. 2008) and at Concordia Station (Frey et al. 2015). At each site, the concentrations have not only been high but their variability has also been large. At Concordia Station, the diurnal cycle influences NO concentrations whereas at the South Pole, the lack of a diurnal cycle allows concentrations to be controlled by meteorological and chemical factors. Meteorological factors affecting NO at the South Pole include 1) the bimodal distribution of wind directions at 300 hPa in the 30 days prior to the breakup of the polar stratospheric vortex leading to stronger inversions, lighter surface winds, and high NO concentrations, 2) the effect of clearing skies that lead to the rapid collapse of the boundary layer and higher NO that mimics the effect due to the diurnal cycle at Concordia, and 3) the progression of the seasonal cycle with increases in temperature, a weakening of the surface temperature inversion, and increased cloudiness that promote a deep boundary layer and low NO concentrations. However, these factors could not account for the very high average values of NO observed at times. We have thus explored the centrally important topic of intra-seasonal recycling of NOx. We conclude that only with this recycling is it possible to explain the average elevated levels of NO and NOx. Further, we argue that the recycling must involve a significantly enhanced photolysis process (e.g., factors ranging from 4 to 9) over that typically calculated using existing nitrate-ice models for the release of NOx. This enhancement we speculate involves the importance of photochemical releases of NOx from nitrate species adsorbed on surface ice crystals as hypothesized in (Davis et al. 2008), (Davis et al. 2010) and (Davis and Neff 2014). The most critical factor in this enhancement process is the value assumed for the quantum yield for regeneration of NOx

  18. High-Intensity Drinking Versus Heavy Episodic Drinking: Prevalence Rates and Relative Odds of Alcohol Use Disorder Across Adulthood.

    Science.gov (United States)

    Linden-Carmichael, Ashley N; Vasilenko, Sara A; Lanza, Stephanie T; Maggs, Jennifer L

    2017-10-01

    Heavy episodic drinking (HED) or consuming 4+/5+ drinks in 1 occasion for women/men is linked consistently with alcohol-related harms. Recent research suggests that many individuals drink at levels more than twice this cutoff (8+/10+ drinks), commonly referred to as "high-intensity drinking." Prevalence rates of high-intensity drinking and its dynamic association with alcohol use disorder (AUD) across all ages, however, remain unknown. The current study used data from a nationally representative sample to document age-varying prevalence rates of HED-only drinking and high-intensity drinking, prevalence rates of AUD for HED-only drinkers and high-intensity drinkers, and relative odds of experiencing an AUD for high-intensity drinkers as compared to HED-only drinkers. Data were from the National Epidemiologic Survey on Alcohol and Related Conditions-III. The final analytic sample consisted of past-year drinkers aged 18 to 64 years (n = 22,776). Time-varying effect modeling revealed that high-intensity drinking and HED-only drinking were equally prevalent during young adulthood and prevalence rates of both types of drinking generally became less common with increasing age. At all ages, high-intensity drinkers were at 3 or more times greater odds of meeting criteria for an AUD than HED-only drinkers. The association between high-intensity relative to HED-only drinking was strongest earlier in adulthood with approximately 83% of 18-year-old high-intensity drinkers having AUD relative to 42% of HED-only drinkers. Future research aiming to identify drinkers most at risk of harms and in need of treatment may benefit from assessing the extent to which an individual exceeds the 8+/10+ threshold of drinking. Copyright © 2017 by the Research Society on Alcoholism.

  19. Factors determining the fluctuation of fluoride concentrations in PM10 aerosols in the urbanized coastal area of the Baltic Sea (Gdynia, Poland)

    OpenAIRE

    Lewandowska, Anita; Falkowska, Lucyna; J??wik, Joanna

    2013-01-01

    Fluoride concentrations were determined in PM10 samples collected in the urbanized coastal area of the Baltic Sea (Gdynia) in the period between 1 August 2008 and 8 January 2010. F? concentrations remained within the range of 0.4?36.6?ng???m?3. The economic transformations which have taken place in Poland increasing ecological awareness have had an excellent effect on the levels of fluoride pollution in the air of the studied region. In our measurements, fluoride concentrations increased in w...

  20. Réalisation d'un exercice d'inter-comparaison PM10, à l'aide d'un système de dopage

    OpenAIRE

    Le Bihan, Olivier; Marliere, Fabrice; Fraboulet, Isaline; Rocq, B.; Aujay, Robin; Karoski, Nicolas

    2011-01-01

    National audience; The participation to inter-laboratory exercises is a key step for any ambient air quality monitoring network. To guarantee the interest of such campaigns, participants need a large range of concentration, including regulatory limits. As far as PM10 is concerned, the 1996 European directive implement a 24h hours limit of 50 µg/m3 with a maximum relative uncertainty of 25%. In the frame of the French National Air Quality Laboratory (LCSQA), INERIS has developped a special PM1...

  1. Genotoxic effects and oxidative stress induced by organic extracts of particulate matter(PM 10)collected from a subway tunnel in Seoul, Korea.

    Science.gov (United States)

    Jung, Mi Hyun; Kim, Ha Ryong; Park, Yong Joo; Park, Duck Shin; Chung, Kyu Hyuck; Oh, Seung Min

    2012-12-12

    Particulate matter (PM) has become an important health risk factor in our society. PM can easily deposit in the bronchi and lungs, causing diverse diseases such as respiratory infections, lung cancers and cardiovascular diseases. In recent days, more and more toxicological studies have been dealing with air particles in distinctive areas including industrial areas, transportation sites, or indoors. Studies on subway PM in particular, have been recognizing PM as an important health risk factor because many people use subways as a major mode of public transportation (4 million people a day in Korea). The main aim of the present study was to evaluate the genotoxic effects of organic extract (OE) of subway PM10 and potential attribution of PAHs to these effects. Particles were collected in the subway tunnel at Kil-eum station(Line 4) for one month and then extracted with Dichloromethane (DCM). Chinese Hamster Ovary cells(CHO-K1) and human normal bronchial cells (BEAS-2B) were exposed to OE, and MN and Comet assays were conducted to analyze the genotoxicity. The results showed that OE increased DNA or chromosome damages in both cell lines. In the modified Comet assay and MN assay with free radical scavengers, we confirmed that the genotoxic effect of OE was partially due to the oxidative damage on DNA. DCFHD Aassay also indicated that OE induced ROS generation in BEAS-2B cells. PAHs [benzo(a)anthracene,benzo(k)fluoranthrene, etc.], the most well-known carcinogens in polluted air, were detected in Kil-eum PM10. In conclusion, our findings confirmed that OE of subway PM10 has genotoxic effects on normal human lung cells, and oxidative stress could be one of the major mechanisms of these genotoxic effects.In addition, some genotoxic and carcinogenic PAHs were detected in OE by GC/MS/MS, even though PAHs level was not enough to increase CYP1A1 gene. Therefore, we suggest that additive or synergistic effects by unidentified chemicals as well as PAHs contained in OE of subway

  2. Chemical compositions and sources of atmospheric PM10 in heating, non-heating and sand periods at a coal-based city in northeastern China.

    Science.gov (United States)

    Kong, Shaofei; Ji, Yaqin; Lu, Bing; Bai, Zhipeng; Chen, Li; Han, Bin; Li, Zhiyong

    2012-03-01

    Mass concentrations and chemical components (18 elements, 9 ions, organic carbon [OC] and elemental carbon [EC]) in atmospheric PM(10) were measured at five sites in Fushun during heating, non-heating and sand periods in 2006-2007. PM(10) mass concentrations varied from 62.0 to 226.3 μg m(-3), with 21% of the total samples' mass concentrations exceeding the Chinese national secondary standard value of 150 μg m(-3), mainly concentrated in heating and sand periods. Crustal elements, trace elements, water-soluble ions, OC and EC represented 20-47%, 2-9%, 13-34%, 15-34% and 13-25% of the particulate matter mass concentrations, respectively. OC and crustal elements exhibited the highest mass percentages, at 27-34% and 30-47% during heating and sand period. Local agricultural residuals burning may contribute to EC and ion concentrations, as shown by ion temporal variation and OC and EC correlation analysis. Heavy metals (Cr, Ni, Zn, Cu and Mn) from coal combustion and industrial processes should be paid attention to in heating and sand periods. The anion/cation ratios exhibited their highest values for the background site with the influence of stationary sources on its upper wind direction during the sand period. Secondary organic carbon were 1.6-21.7, 1.5-23.0, 0.4-17.0, 0.2-33.0 and 0.2-21.1 μg m(-3), accounting for 20-77%, 44-88%, 4-77%, 8-69% and 4-73% of OC for the five sampling sites ZQ, DZ, XH, WH and SK, respectively. From the temporal and spatial variation analysis of major species, coal combustion, agricultural residual burning and industrial emission including dust re-suspended from raw material storage piles were important sources for atmospheric PM(10) in Fushun at heating, non-heating and sand periods, respectively. It was confirmed by principal component analysis that coal combustion, vehicle emission, industrial activities, soil dust, cement and construction dust and biomass burning were the main sources for PM(10) in this coal-based city. This journal

  3. An Integrated Analysis of Particulate Matter Episodes over Megacities using Multi-scale Modelling, Ground-based and Space-based Observations

    Science.gov (United States)

    Hu, R.; Sokhi, R.; Chemel, C.; Fisher, B.

    2009-09-01

    Particulate Matter (or aerosol) Episodes have significant effect on atmospheric composition and air quality. High levels of particulate matter (PM10 and PM2.5) concentrations are often observed over megacities. The cause of such episodes is not fully understood yet. In this study, we use the state-of-the-art CMAQ-WRF-SMOKE regional air quality modelling system to simulate the formation, evolution and dissipation of episodes over megacities and examine the dominant factors such as emission, meteorological and chemical processes. The simulations have been directly compared with ground-based and space-based observations. We analyses the chemical composition of the particulate matter (PM10 or PM2.5) concentrations over megacities such as London and Paris from model simulations and ground-based measurements. The model simulations of major aerosol species including sulphate, ammonium, nitrate, black carbon and organics have been evaluated with ground-based measurements. The new boundary conditions generated from a global chemistry transport model (GEOS-Chem) are used to improve the CMAQ-WRF-SMOKE modelling results. In order to understand the emission, meteorological and chemical processes, the detailed emission sources and meteorological parameters simulated from WRF such as wind speed, pressure, and mixing height have been analyzed. The favourable meteorological conditions have been found to enhance the long range transport of air pollutants. We synergically retrieve particulate matter concentrations from the measurements of multiple satellite sensors such as the Ozone Monitoring Instrument (OMI), the Moderate Resolution Imaging Spectroradiameter (MODIS) and the Multiangle Imaging SpectroRadiameter (MISR). The global model (GEOS-Chem) and regional model (CMAQ) are used to constrain the aerosol profiles. In particular, we use backscatter profiles from the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) measurements to explore the potential for

  4. Relación entre las partículas finas (PM 2.5 y respirables PM 10 en la ciudad de Medellín Relation between fine particles (PM 2.5 and breathable particles (PM 10 in Medellin city

    Directory of Open Access Journals (Sweden)

    Carlos Alberto Echeverri Londoño

    2008-01-01

    Full Text Available En este trabajo se presenta parte de los resultados del proyecto 'Patologías respiratorias en niños preescolares y su relación con la contaminación atmosférica de Medellín', realizado por la Universidad de Medellín y la Universidad CES para la Secretaria de Salud de Medellín dentro del contrato 4700026668 de 2006. Se realizaron mediciones simultáneas de partículas finas (PM2.5 y respirables (PM10 durante el período de febrero a octubre de 2007 en varios sitios de la ciudad de Medellín, capital del departamento de Antioquia, habitada aproximadamente por 2’250.000 personas. Los resultados del análisis muestran, en la mayoría de los casos, una correlación positiva y lineal entre los dos parámetros. La relación (PM2.5/PM10 promedio para los sitios o zonas bajo consideración en este estudio fue de aproximadamente 0.67, valor bastante considerable que hace pensar que probablemente se puede cumplir con la norma anual para PM10, pero no para PM2.5. Los resultados obtenidos identifican las partículas finas como uno de los principales problemas de contaminación en la ciudad de Medellín.This article shows part of the results from the project called: 'Respiratory pathologies in pre-school children and their relation to atmospheric contamination in Medellin,' carried out by Universidad de Medellin and Universidad CES for Medellin Health Secretariat according to contract No. 4700026668, year 2006. Simultaneous measurements of fine particles (PM2.5 and breathable particles (PM10 were made from February to October, 2007 in several sites of Medellin, the capital city of Antioquia State, where about 2,250,000 inhabitants live. In almost all cases, analysis results show a positive and linear correlation between both parameters. Average ratio (PM2.5/PM10 for sites and zones tested in this study was 0.67 approximately, which is a very meaningful value, what makes us think that annual norm for PM10 can probably be accomplished, but not the one

  5. Determination of water-soluble elements in PM2.5, PM10, and PM2.5-10 collected in the surroundings of power plants

    Directory of Open Access Journals (Sweden)

    Zajusz-Zubek Elwira

    2018-01-01

    Full Text Available The analysis reported in this study was performed to characterize the concentrations and water-soluble content of trace elements (As, Cd, Co, Cr, Hg, Mn, Ni, Pb, Sb and Se in PM2.5, PM10 and PM2.5-10 samples collected in the surroundings of power plants in southern Poland. The solubility of trace elements bound to PM2.5 and PM10 was higher than for PM2.5-10, and in most cases, significant differences were revealed in the relative percentage concentrations of the water-soluble fractions. The occurrence of Cd, Cr, Mn, Ni, Pb and Se in first PCA (Principal Component Analysis factor (PC1 – indicate coal combustion processes as the potential source of these elements. Other factors indicate two further anthropogenic sources: the resuspension of road dust due to vehicular activities and waste burning in domestic sources – factor (PC2, and, soil dust sources affected by fugitive dust from the mining processes and unpaved roads, as well as transportation and deposition of coal –factor (PC3.

  6. Complex time series analysis of PM10 and PM2.5 for a coastal site using artificial neural network modelling and k-means clustering

    Science.gov (United States)

    Elangasinghe, M. A.; Singhal, N.; Dirks, K. N.; Salmond, J. A.; Samarasinghe, S.

    2014-09-01

    This paper uses artificial neural networks (ANN), combined with k-means clustering, to understand the complex time series of PM10 and PM2.5 concentrations at a coastal location of New Zealand based on data from a single site. Out of available meteorological parameters from the network (wind speed, wind direction, solar radiation, temperature, relative humidity), key factors governing the pattern of the time series concentrations were identified through input sensitivity analysis performed on the trained neural network model. The transport pathways of particulate matter under these key meteorological parameters were further analysed through bivariate concentration polar plots and k-means clustering techniques. The analysis shows that the external sources such as marine aerosols and local sources such as traffic and biomass burning contribute equally to the particulate matter concentrations at the study site. These results are in agreement with the results of receptor modelling by the Auckland Council based on Positive Matrix Factorization (PMF). Our findings also show that contrasting concentration-wind speed relationships exist between marine aerosols and local traffic sources resulting in very noisy and seemingly large random PM10 concentrations. The inclusion of cluster rankings as an input parameter to the ANN model showed a statistically significant (p transport characteristics prior to the implementation of costly chemical analysis techniques or advanced air dispersion models.

  7. Determination of water-soluble elements in PM2.5, PM10, and PM2.5-10 collected in the surroundings of power plants

    Science.gov (United States)

    Zajusz-Zubek, Elwira; Mainka, Anna; Kaczmarek, Konrad

    2018-01-01

    The analysis reported in this study was performed to characterize the concentrations and water-soluble content of trace elements (As, Cd, Co, Cr, Hg, Mn, Ni, Pb, Sb and Se) in PM2.5, PM10 and PM2.5-10 samples collected in the surroundings of power plants in southern Poland. The solubility of trace elements bound to PM2.5 and PM10 was higher than for PM2.5-10, and in most cases, significant differences were revealed in the relative percentage concentrations of the water-soluble fractions. The occurrence of Cd, Cr, Mn, Ni, Pb and Se in first PCA (Principal Component Analysis) factor (PC1) - indicate coal combustion processes as the potential source of these elements. Other factors indicate two further anthropogenic sources: the resuspension of road dust due to vehicular activities and waste burning in domestic sources - factor (PC2), and, soil dust sources affected by fugitive dust from the mining processes and unpaved roads, as well as transportation and deposition of coal -factor (PC3).

  8. Systematic review and meta-analysis of the adverse health effects of ambient PM2.5 and PM10 pollution in the Chinese population.

    Science.gov (United States)

    Lu, Feng; Xu, Dongqun; Cheng, Yibin; Dong, Shaoxia; Guo, Chao; Jiang, Xue; Zheng, Xiaoying

    2015-01-01

    As the largest developing country, China has some of the worst air quality in the world. Heavy smog in January 2013 led to unprecedented public concern about the health impact of exposure to particulate matter. Conducting health impact assessments of particulate matter has thus become an urgent task for public health practitioners. Combined estimates of the health effects of exposure to particulate matter from quantitative reviews could provide vital information for epidemiology-based health impact assessments, but estimates for the Chinese population are limited. On December 31, 2013, we systematically searched the PubMed, Web of Science, and China National Knowledge Infrastructure databases using as keywords names of 127 major cities in Mainland China, Hong Kong, and Taiwan. From among the 1464 articles identified, 59 studies were manually screened. Random-effects or fixed-effects models were used to combine their risk estimates, the funnel plots with Egger test were performed to evaluate the publication bias and Meta regression were run to explore the association between exposure to particulate matter with aerodynamic diameters less than 10 and 2.5 µm (PM10 and PM2.5) and the resulting health effects by the Comprehensive Meta Analysis. In terms of short-term effects, the combined excess risks of total non-accidental mortality, mortality due to cardiovascular disease, and mortality due to respiratory disease were 0.36% (95% confidence interval [95%CI]: 0.26%, 0.46%), 0.36% (95%CI: 0.24%, 0.49%), and 0.42% (95%CI: 0.28%, 0.55%), for each 10 μg/m(3) increase in PM10. A 10 μg/m(3) increase in PM2.5 was associated with a 0.40% (95%CI: 0.22%, 0.59%) increase in total non-accidental mortality, a 0.63% (95%CI: 0.35%, 0.91%) increase in mortality due to cardiovascular disease, and a 0.75% (95%CI: 01.39%, 1.11%) increase in mortality due to respiratory disease. For constituent-specific mortality, increases of 0.40-3.11% were associated with an increase of 10 ng/m(3

  9. The use of total susceptibility in the analysis of long term PM10 (PM2.5) collected at Hungarian air quality monitoring stations

    Science.gov (United States)

    Márton, Emö; Domján, Ádám; Lautner, Péter; Szentmarjay, Tibor; Uram, János

    2013-04-01

    Air monitoring stations in Hungary are operated by Environmental, Nature Conservancy and Water Pollution Inspectorates, according to the CEN/TC 264 European Union standards. PM10 samples are collected on a 24-hour basis, for two weeks in February, in May, in August and in November. About 720m3 air is pumped through quartz filters daily. Mass measurements and toxic metal analysis (As, Pb, Cd, Ni) are made on each filter (Whatmann DHA-80 PAH, 150 mm diameter) by the inspectorates. We have carried out low field magnetic susceptibility measurements using a KLY-2 instrument on all PM10 samples collected at 9 stations from 2009 on (a total of more than 2000 filters). One station, located far from direct sources, monitors background pollution. Here PM2.5 was also collected in two-week runs, seven times during the period of 2009-2012 and made available for the non-destructive magnetic susceptibility measurements. Due to the rather weak magnetic signal, the susceptibility of each PM-10 sample was computed from 10, that of each PM2.5 sample from 20 measurements. Corrections were made for the susceptibility of the sample holder, for the unpolluted filter (provided with each of the two-week runs), and for the plastic bag containing the samples. The susceptibilities of the PM10 samples were analyzed from different aspects, like the degree of magnetic pollution at different stations, daily and seasonal variations of the total and mass susceptibilities compared to the mass of the pollutants and in relation to the concentrations of the toxic elements. As expected, the lowest total and mass susceptibilities characterize the background station (pollution arrives mostly from distant sources, Vienna, Bratislava or even the Sudeten), while the highest values were measured for an industrial town with heavy traffic. At the background station the mass of the PM10 and PM2.5, respectively for the same period are quite similar, while the magnetic susceptibilities are usually higher in the

  10. Moral judgment in episodic amnesia.

    Science.gov (United States)

    Craver, Carl F; Keven, Nazim; Kwan, Donna; Kurczek, Jake; Duff, Melissa C; Rosenbaum, R Shayna

    2016-08-01

    To investigate the role of episodic thought about the past and future in moral judgment, we administered a well-established moral judgment battery to individuals with hippocampal damage and deficits in episodic thought (insert Greene et al. 2001). Healthy controls select deontological answers in high-conflict moral scenarios more frequently when they vividly imagine themselves in the scenarios than when they imagine scenarios abstractly, at some personal remove. If this bias is mediated by episodic thought, individuals with deficits in episodic thought should not exhibit this effect. We report that individuals with deficits in episodic memory and future thought make moral judgments and exhibit the biasing effect of vivid, personal imaginings on moral judgment. These results strongly suggest that the biasing effect of vivid personal imagining on moral judgment is not due to episodic thought about the past and future. © 2016 Wiley Periodicals, Inc. © 2016 Wiley Periodicals, Inc.

  11. 40 CFR Table E-1 to Subpart E of... - Summary of Test Requirements for Reference and Class I Equivalent Methods for PM2.5 and PM10-2.5

    Science.gov (United States)

    2010-07-01

    ... Reference and Class I Equivalent Methods for PM2.5 and PM10-2.5 E Table E-1 to Subpart E of Part 53..., Subpt. E, Table E-1 Table E-1 to Subpart E of Part 53—Summary of Test Requirements for Reference and Class I Equivalent Methods for PM2.5 and PM10-2.5 Subpart E procedure Performance test Performance...

  12. Episode-Based Evolution Pattern Analysis of Haze Pollution: Method Development and Results from Beijing, China.

    Science.gov (United States)

    Zheng, Guangjie; Duan, Fengkui; Ma, Yongliang; Zhang, Qiang; Huang, Tao; Kimoto, Takashi; Cheng, Yafang; Su, Hang; He, Kebin

    2016-05-03

    Haze episodes occurred in Beijing repeatedly in 2013, resulting in 189 polluted days. These episodes differed in terms of sources, formation processes, and chemical composition and thus required different control policies. Therefore, an overview of the similarities and differences among these episodes is needed. For this purpose, we conducted one-year online observations and developed a program that can simultaneously divide haze episodes and identify their shapes. A total of 73 episodes were identified, and their shapes were linked with synoptic conditions. Pure-haze events dominated in wintertime, whereas mixed haze-dust (PM2.5/PM10 pollution level increased. The only OM-driven episode observed was associated with intensive biomass-burning activities. In comparison, haze evolution generally coincided with increasing sulfur and nitrogen oxidation ratios (SOR and NOR), indicating the enhanced production of secondary inorganic species. Applicability of these conclusions required further tests with simultaneously multisite observations.

  13. Determination of multiple organic matter sources in aerosol PM10 from Wrocław, Poland using molecular and stable carbon isotope compositions

    Science.gov (United States)

    Górka, Maciej; Rybicki, Maciej; Simoneit, Bernd R. T.; Marynowski, Leszek

    2014-06-01

    The natural and anthropogenic contributions of hydrocarbon groups (aliphatic and aromatic), as well as total organic carbon, in atmospheric PM10 dust (particulate matter chromatography-mass spectrometry - GC-MS) and stable carbon isotopic (isotope-ratio mass spectrometry - IR-MS) analyses. The PM10 samples were taken in the seasonal sampling program in 2007, and represent air pollution from all months of the year. The δ13C values of the total carbon varied seasonally from -27.6 to -25.3‰. The isotopic mass balance calculations confirmed greater coal burning input, reaching 70.5%, in the heating season and dominant transported sources 47.5% in the vegetative season. The data obtained for the aliphatic fractions: carbon preference index (CPI), carbon number maximum (Cmax), wax n-alkane contents (%WNA), and δ13C values of the aliphatic fractions (-36.6 to -29.4‰), indicated a dominant anthropogenic origin (gasoline/diesel/coal combustion) and a lesser biogenic input (biomass burning and natural organic matter). Petroleum and coal combustion emissions were confirmed by the presence of hopanes and moretanes. The molecular analysis of the concentrations and diagnostic ratios of the polycyclic aromatic hydrocarbons (PAHs) and the δ13C values of the aromatic fractions (-35.4 to -26.8‰) indicated that the main PAH sources were also collectively from combustion of liquid fuels and coal. Based on PAH discrimination diagrams it is also clear that the main organic carbon source is derived from coal, biomass and petroleum combustion in both seasons. However, taking into account the PAH concentrations during the vegetative and heating seasons, coal and biomass burning seem to be their major source. Additionally, the polar organic compounds (mainly levoglucosan) confirmed a significant contribution from biomass burning to the total anthropogenic input. The general conclusion derived from coupling of organic tracer analysis and carbon isotopic data of PM10 was that the

  14. Health benefits of a reduction of PM10 and NO2 exposure after implementing a clean air plan in the Agglomeration Lausanne-Morges.

    Science.gov (United States)

    Castro, Alberto; Künzli, Nino; Götschi, Thomas

    2017-07-01

    Exposure to urban air pollution has been associated with adverse effects on cardio-vascular and respiratory health, both short and long term. Consequently, governments have applied policies to reduce air pollution. Quantitative health impact assessments of hypothetic changes in air pollution have been conducted at national and global level, but assessments of observed air pollution changes associated with specific clean air policies at a local or regional scale remain scarce. This study estimates health impacts attributable to a decrease in PM10 and NO2 exposure in the Agglomeration of Lausanne-Morges (ALM), Switzerland, between 2005 and 2015, corresponding to the implementation period of a supra-municipal plan of measures to reduce air pollution in different sectors such as transport, energy, and industry (called Plan OPair 05). The health impact assessment compares health effects attributed to air pollution exposure levels in 2015 (reference case) with those in 2005 (counterfactual scenario), using 2015 as baseline for all other input data. In the ALM, the modeled PM10 exposure reduction of 3.3μg/m3 from 2005 to 2015 prevents 26 premature deaths (equivalent to around 290 years of life lost), 215 hospitalization days due to cardio-vascular and respiratory diseases as well as approximately 47,000 restricted activity days annually. Monetized health impacts of the reduction of PM10 exposure are valued at approximately CHF 36 million annually. Immaterial costs, mainly related to the economic valuation of years of life lost, dominate the monetized health impacts (90% of total value), while savings at the workplace (net loss in production and reoccupation costs) amount to about CHF 1.9 million, and savings in health care costs to about CHF 0.5 million. The assessment is sensitive to the value assigned to immaterial costs and to uncertainties in the relative risk estimates, whereas variations in the baseline year (i.e. using 2005 data instead of 2015 data) affect

  15. Studies in Atmospheric Chemistry. I. Assessing Exposure to Environmental Tobacco Smoke. I. Sulfur Oxides Chemistry Related to PM(10) Formation and Visibility Degradation

    Science.gov (United States)

    Caka, Fern M.

    I. Data from four DC-10 flights and forty-eight DC-9 flights are used to evaluate a model which predicts concentrations of ETS onboard commercial aircraft. A first order rate of penetration (decay) is shown to predict concentrations well. II. Two studies were conducted in Utah Valley and the Grand Canyon region. Annular diffusion denuders, impingers and real-time instruments were used to collect and measure sulfur oxide and nitrogen oxide species, ammonia, particulate acidity, and various oxidants. The data provided information on the distribution between gas and particulate phase species as a function of time, location and meteorology. Trends in the data sets which shed light on the factors which may contribute to atmospheric particulate conversion and the effect on PM_{10} formation and visibility degradation are presented.

  16. Caracterización espacial de PM10 en la ciudad de Medellín mediante modelos geoestadísticos

    Directory of Open Access Journals (Sweden)

    Libardo Antonio Londoño Ciro

    2015-12-01

    Full Text Available En este artículo se presenta un modelo geoestadístico para caracterizar espacialmente el comportamiento del contaminante PM10 en la ciudad de Medellín Colombia. Los datos se han tomado de nueve sitios de monitoreo en valor promedio mensual (µg/m3 durante el periodo enero 2003 a diciembre 2007. Se evaluaron diferentes modelos mediante pruebas de validación cruzada. El mejor modelo es el j-bessel. Se calculan los parámetros del modelo mediante pruebas ANOVA para agrupaciones trimestrales. Con Kriging ordinario y sistemas de información geográfica, se obtienen mapas de caracterización espacial del contaminante.

  17. A new simple, low-cost approach for generation of the PM10 fraction from soil and related materials: application to human health risk assessment.

    Science.gov (United States)

    Boisa, Ndokiari; Entwistle, Jane; Dean, John R

    2014-12-10

    A new simple, robust and low-cost wet laboratory method for the generation of the soil and mine waste samples from Mitrovica, Kosovo as part of an investigation in to the human risk assessment from inhalation of the PM10 fraction containing potentially harmful elements (PHEs). The average daily dose for Cd from the inhalation of suspended soil particles was calculated to be 0.021 and 0.010 μg kg(-1) BW d(-1) for a child and an adult, respectively. This corresponded to an inhalation dose of 0.50 and 0.70 μg Cdd(-1) for a child (20 kg) and an adult (70 kg), respectively. Copyright © 2014 The Authors. Published by Elsevier B.V. All rights reserved.

  18. Black carbon as an additional indicator of the adverse health effects of airborne particles compared with PM10 and PM2.5.

    Science.gov (United States)

    Janssen, Nicole A H; Hoek, Gerard; Simic-Lawson, Milena; Fischer, Paul; van Bree, Leendert; ten Brink, Harry; Keuken, Menno; Atkinson, Richard W; Anderson, H Ross; Brunekreef, Bert; Cassee, Flemming R

    2011-12-01

    Current air quality standards for particulate matter (PM) use the PM mass concentration [PM with aerodynamic diameters ≤ 10 μm (PM(10)) or ≤ 2.5 μm (PM(2.5))] as a metric. It has been suggested that particles from combustion sources are more relevant to human health than are particles from other sources, but the impact of policies directed at reducing PM from combustion processes is usually relatively small when effects are estimated for a reduction in the total mass concentration. We evaluated the value of black carbon particles (BCP) as an additional indicator in air quality management. We performed a systematic review and meta-analysis of health effects of BCP compared with PM mass based on data from time-series studies and cohort studies that measured both exposures. We compared the potential health benefits of a hypothetical traffic abatement measure, using near-roadway concentration increments of BCP and PM(2.5) based on data from prior studies. Estimated health effects of a 1-μg/m3 increase in exposure were greater for BCP than for PM(10) or PM(2.5), but estimated effects of an interquartile range increase were similar. Two-pollutant models in time-series studies suggested that the effect of BCP was more robust than the effect of PM mass. The estimated increase in life expectancy associated with a hypothetical traffic abatement measure was four to nine times higher when expressed in BCP compared with an equivalent change in PM(2.5) mass. BCP is a valuable additional air quality indicator to evaluate the health risks of air quality dominated by primary combustion particles.

  19. Chemical characteristics and influence of continental outflow on PM1.0, PM2.5and PM10measured at Tuoji island in the Bohai Sea.

    Science.gov (United States)

    Zhang, Junmei; Yang, Lingxiao; Mellouki, Abdelwahid; Wen, Liang; Yang, Yumeng; Gao, Ying; Jiang, Pan; Li, Yanyan; Wang, Wenxing

    2016-12-15

    To investigate the chemical characteristics and sources of size-segregated particles in the background region, PM 1.0 , PM 2.5 and PM 10 samples were collected in Tuoji Island (TI) during the winter of 2014. Water-soluble inorganic ions (WSIIs) including Na + , NH 4 + , K + , Mg 2+ , Ca 2+ , Cl - , NO 3 - and SO 4 2- , organic carbon (OC) and elemental carbon (EC) and water-soluble organic carbon (WSOC) were analysed. The average mass concentrations of PM 1.0 , PM 2.5 and PM 10 were 44.5μg/m 3 , 62.0μg/m 3 and 94.4μg/m 3 , respectively, and particles were importantly enriched in PM 1.0 . Secondary WSIIs (NH 4 + , NO 3 - and SO 4 2- ) were the most abundant species, and their contribution was highest in PM 1.0 . The average values of NOR and SOR were more than 0.1 in PM 1.0 , suggesting that secondary formation of SO 4 2- and NO 3 - from the gas precursors SO 2 and NO 2 occurred in PM 1.0 . Secondary organic carbon accounted for 62.3% in PM 1.0 , 61.9% in PM 1.0-2.5 and 48.9% in PM 2.5-10 of OC, formed mainly in the fine mode. The particles concentrations were mainly affected by air mass from the North China Plain, especially the air mass from the southwest of Shandong province, which had low speed and altitude. Copyright © 2016 Elsevier B.V. All rights reserved.

  20. Spatial heterogeneity of PM10 and O3 in São Paulo, Brazil, and implications for human health studies.

    Science.gov (United States)

    Bravo, Mercedes A; Bell, Michelle L

    2011-01-01

    Developing exposure estimates is a challenging aspect of investigating the health effects of air pollution. Pollutant levels recorded at centrally located ambient air quality monitors in a community are commonly used as proxies for population exposures. However, if ample intraurban spatial variation in pollutants exists, city-wide averages of concentrations may introduce exposure misclassification. We assessed spatial heterogeneity of particulate matter with an aerodynamic diameter or = 0.75), but high CODs suggest that averaging over O3 levels may obscure important spatial variations. Of municipal districts in the highest of five socioeconomic groups, 40% have > or = 1 monitor, whereas districts in the lowest two groups, representing half the population, have no monitors. Results suggest that there is a potential for exposure misclassification based on the available monitoring network and that spatial heterogeneity depends on pollutant metric (e.g., daily average vs. daily 1-hr maximum). A denser monitoring network or alternative exposure methods may be needed for epidemiological research. Findings demonstrate the importance of considering spatial heterogeneity and differential exposure misclassification by subpopulation.

  1. Massive post-fire flowering events in a tropical mountain region of Brazil: high episodic supply of floral resources

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    Abel Augusto Conceição

    2013-12-01

    Full Text Available The species Vellozia sincorana L.B.Sm. & Ayensu is key to biodiversity conservation in the tropical mountain region of Brazil. The massive post-fire flowering of this endemic species provides a large, episodic supply of floral resources, mostly nectar, to animals.

  2. Severe episodic viral wheeze in preschool children : High risk of asthma at age 5-10 years

    NARCIS (Netherlands)

    Kappelle, Lucie; Brand, Paul L. P.

    In population studies, most children with episodic viral wheeze (EVW) become symptom free by 6 years. We studied the outcome of children with severe EVW, treated and followed up in hospital. We followed up 78 children <4 years, managed by paediatricians for severe EVW, to the age of 5-10 years. We

  3. Photochemical characteristics of high and low ozone episodes observed in the Taehwa Forest observatory (TFO) in June 2011 near Seoul South Korea

    Science.gov (United States)

    Kim, Soyoung; Lee, Meehye; Kim, Suyeon; Choi, Soonho; Seok, Sonjung; Kim, Saewung

    2013-05-01

    We present a comprehensive discussion on what cause high ozone episodes at a suburban photochemical observation site of the Seoul Metropolitan Area (population ˜23 million). The observational site, Taehwa Research Forest (TRF), is situated ˜30 km from the center of Seoul. In June 2011, we observed two very distinctive ozone periods-high ozone (peak up to 120 ppbv) and low ozone (peak up to 60 ppbv) in the mid and early month, respectively. The trace gas measurement dataset, especially CO and NO X clearly indicate that less anthropogenic influences during the high ozone period. Volatile organic compound (VOC) measurement results show that at the observational site, biogenic VOCs (mostly isoprene) contribute most of chemical reactivity towards OH, although toluene from anthropogenic activities was observed in higher concentrations. Back-trajectory analysis indicates that air-masses from the forest part of Korea Peninsula were dominant influences during the high ozone episode event. On the other hand, Aged air masses from China were the dominant influence during the low ozone episode event. Model calculations conducted using the University of Washington Chemical Mechanism (UWCM) box model, also consistently show that BVOC, especially isoprene photochemistry, can be the significantly contribution to local ozone formation in the given photochemical environments of TRF. These research results strongly suggest that ozone control strategy in the Eastern Asian megacities, mostly situated in surrounding forest areas should be based on the comprehensive scientific understanding in BVOC photochemistry and interplays between anthropogenic and biogenic interactions.

  4. Evolution of air pollution source contributions over one decade, derived by PM10 and PM2.5 source apportionment in two metropolitan urban areas in Greece

    Science.gov (United States)

    Diapouli, E.; Manousakas, M.; Vratolis, S.; Vasilatou, V.; Maggos, Th; Saraga, D.; Grigoratos, Th; Argyropoulos, G.; Voutsa, D.; Samara, C.; Eleftheriadis, K.

    2017-09-01

    Metropolitan Urban areas in Greece have been known to suffer from poor air quality, due to variety of emission sources, topography and climatic conditions favouring the accumulation of pollution. While a number of control measures have been implemented since the 1990s, resulting in reductions of atmospheric pollution and changes in emission source contributions, the financial crisis which started in 2009 has significantly altered this picture. The present study is the first effort to assess the contribution of emission sources to PM10 and PM2.5 concentration levels and their long-term variability (over 5-10 years), in the two largest metropolitan urban areas in Greece (Athens and Thessaloniki). Intensive measurement campaigns were conducted during 2011-2012 at suburban, urban background and urban traffic sites in these two cities. In addition, available datasets from previous measurements in Athens and Thessaloniki were used in order to assess the long-term variability of concentrations and sources. Chemical composition analysis of the 2011-2012 samples showed that carbonaceous matter was the most abundant component for both PM size fractions. Significant increase of carbonaceous particle concentrations and of OC/EC ratio during the cold period, especially in the residential urban background sites, pointed towards domestic heating and more particularly wood (biomass) burning as a significant source. PMF analysis further supported this finding. Biomass burning was the largest contributing source at the two urban background sites (with mean contributions for the two size fractions in the range of 24-46%). Secondary aerosol formation (sulphate, nitrate & organics) was also a major contributing source for both size fractions at the suburban and urban background sites. At the urban traffic site, vehicular traffic (exhaust and non-exhaust emissions) was the source with the highest contributions, accounting for 44% of PM10 and 37% of PM2.5, respectively. The long

  5. Caracterización metálica de material particulado PM10 en la atmósfera de Fonseca, La Guajira, Colombia

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    Carlos Doria Argumedo

    2017-09-01

    Full Text Available Teniendo en cuenta  la importancia del efecto sobre la salud de las partículas inhalables PM10 y los metales asociados a ellas, se evaluaron los niveles de  metales: Al, Cr, V, As, Se, Na, K, Mg, Ca, Bi, Fe, Hg y Pb, generados por fuentes naturales como el aerosol marino y la re-suspensión del suelo; y de fuentes antropogénicas como las actividades mineras de carbón y la circulación vehicular, en Fonseca, La Guajira, Colombia, Las muestras fueron colectadas en dos sitios cercanos al complejo carbonífero, durante las épocas de sequía y de lluvia, empleando un muestreador de alto volumen con filtros de fibra de cuarzo, con una frecuencia mensual para un total de 20. Las muestras fueron sometidas a un proceso de digestión ácida, y analizadas por Espectrometría de Masas con Plasma Acoplado Inductivamente (ICP-MS. Los niveles de PM10 reportados  superaron  el estándar anual  de 20 µg/m3 establecido por  la OMS. Los metales de mayor concentración corresponden a Na (2,4 µg/m3 + 1,49 µg/m3, Al (0,52 µg/m3 + 1.78 µg/m3, Ca (0,49 µg/m3 + 0,60 µg/m3 y Cr (0,40 µg/m3 +  0,18 µg/m3. No se presentaron diferencias estadísticamente significativas entre los sitios de muestreo. El V, Hg y Pb no excedieron el estándar de calidad del aire establecido para Colombia y la OMS; por su parte, el As sobrepasó ampliamente el límite permisible de Colombia y la OMS. Adicionalmente, el análisis estadístico permite concluir que los metales pueden provenir de una misma fuente, tanto natural  como antropogénica.

  6. Factors determining the fluctuation of fluoride concentrations in PM10 aerosols in the urbanized coastal area of the Baltic Sea (Gdynia, Poland).

    Science.gov (United States)

    Lewandowska, Anita; Falkowska, Lucyna; Jóźwik, Joanna

    2013-09-01

    Fluoride concentrations were determined in PM10 samples collected in the urbanized coastal area of the Baltic Sea (Gdynia) in the period between 1 August 2008 and 8 January 2010. F(-) concentrations remained within the range of 0.4-36.6 ng · m(-3). The economic transformations which have taken place in Poland increasing ecological awareness have had an excellent effect on the levels of fluoride pollution in the air of the studied region. In our measurements, fluoride concentrations increased in wintertime, when air temperature dropped, at low wind speeds (10 m · s(-1), fluorides were related to marine aerosols or else brought from distant sources. Apart from wind speed and air temperature, other significant meteorological parameters which determined the variability of F(-) turned out to be air humidity and precipitation volume. Aerosols were washed out effectively, even with small precipitation (h = 4 mm), and if a dry period lasted for several days, their concentrations grew rapidly to over 30.0 ng · m(-3).

  7. Effect of agriculture and vegetation on carbonaceous aerosol concentrations (PM2.5 and PM10) in Puszcza Borecka National Nature Reserve (Poland).

    Science.gov (United States)

    Witkowska, Agnieszka; Lewandowska, Anita U; Saniewska, Dominika; Falkowska, Lucyna M

    2016-01-01

    Elemental carbon (EC) and organic carbon (OC) concentrations were measured in PM2.5 and PM10 samples collected at Diabla Gora (Puszcza Borecka National Nature Reserve, Poland) between 1 January and 31 December 2009, to investigate the seasonal and daily concentration variations and source regions. Strict sampling and measurement procedure, together with analysis of air mass backward trajectories and pollutant markers, indicated that the most important sources of carbon in the aerosols over Diabla Gora were vegetation, agricultural activity, and biomass burning. The highest contribution of secondary organic carbon (SOC) in aerosol mass (70 %) was detected during summer as a result of increased vegetation. In spring and autumn, raised concentrations of primary OC, calcium, and potassium and the presence of ammonium nitrate were observed in aerosols due to emission from surrounding fields and forests, as well as from fires in Lithuania. Anthropogenic influence on the increase in concentration of all carbon species was observed only in winter, when air masses drifted in from habitations situated within a radius of 50 km from the Diabla Gora station. Transport was of sporadic significance to the measured concentrations, and only in PM2.5 when wind speed was close to 1 m s -1 . In this case, the concentration of EC rose several fold. Such a tendency was particularly noticeable with the influx of air masses from nearby cities and the Polish-Russian border, which is located 29 km away from the station.

  8. Health impact assessment of decreases in PM10 and ozone concentrations in the Mexico City Metropolitan Area. A basis for a new air quality management program

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    Horacio Riojas-Rodríguez

    2014-11-01

    Full Text Available Objective. To conduct a health impact assessment (HIA to quantify health benefits for several PM and O3 air pollution reduction scenarios in the Mexico City Metropolitan Area (MCMA. Results from this HIA will contribute to the scientific support of the MCMA air quality management plan (PROAIRE for the period 2011-2020. Materials and methods. The HIA methodology consisted of four steps: 1 selection of the air pollution reduction scenarios, 2 identification of the at-risk population and health outcomes for the 2005 baseline scenario, 3 selection of concentration-response functions and 4 estimation of health impacts. Results. Reductions of PM10 levels to 20 μg/m3 and O3 levels to 0.050ppm (98 µg/m3 would prevent 2300 and 400 annual deaths respectively. The greatest health impact was seen in the over-65 age group and in mortality due to cardiopulmonary and cardiovascular disease. Conclusion. Improved air quality in the MCMA could provide significant health benefits through focusing interventions by exposure zones.

  9. A note on unusual Si/Al ratios in PM10 and PM2.5 road dust at several locations in India.

    Science.gov (United States)

    Samiksha, Shilpi; Sunder Raman, Ramya

    2017-08-01

    The Si/Al ratios in road dust (PM10 and/or PM2.5) at several locations in India were examined and found to range between 1.6 and 84.9. The potential factors for this wide range of unusual Si/Al ratios in road dust are not known at this time. In addition to re-assessing data quality, the observations suggest the need to carefully quantify anthropogenic inputs of these elements to road dust. The findings of this study also contradict popular assumptions about minimal enrichment of crustal elements by anthropogenic sources and highlight the need to re-visit dust mass estimation using Si and Al as a surrogate. Further, characterization of Si/Al ratio in road dust at locations in India and the influence of local geology/geochemistry on it are especially important, if this ratio is to be used either for dust estimation or as an input to ambient aerosol mass source apportionment models. Copyright © 2017 Elsevier Ltd. All rights reserved.

  10. Health impact assessment of decreases in PM10 and ozone concentrations in the Mexico City Metropolitan Area: a basis for a new air quality management program.

    Science.gov (United States)

    Riojas-Rodríguez, Horacio; Álamo-Hernández, Urinda; Texcalac-Sangrador, José Luis; Romieu, Isabelle

    2014-01-01

    To conduct a health impact assessment (HIA) to quantify health benefits for several PM and O3 air pollution reduction scenarios in the Mexico City Metropolitan Area (MCMA). Results from this HIA will contribute to the scientific support of the MCMA air quality management plan (PROAIRE) for the period 2011-2020. The HIA methodology consisted of four steps: 1) selection of the air pollution reduction scenarios, 2) identification of the at-risk population and health outcomes for the 2005 baseline scenario, 3) selection of concentration-response functions and 4) estimation of health impacts. Reductions of PM10 levels to 20 μg/m³ and O3 levels to 0.050ppm (98 µg/m³) would prevent 2300 and 400 annual deaths respectively. The greatest health impact was seen in the over-65 age group and in mortality due to cardiopulmonary and cardiovascular disease. Improved air quality in the MCMA could provide significant health benefits through focusing interventions by exposure zones.

  11. Quantifying Ozone Production throughout the Boundary Layer from High Frequency Tethered Profile Measurements during a High Ozone Episode in the Uinta Basin, Utah

    Science.gov (United States)

    Sterling, C. W.; Johnson, B.; Schnell, R. C.; Oltmans, S. J.; Cullis, P.; Hall, E. G.; Jordan, A. F.; Windell, J.; McClure-Begley, A.; Helmig, D.; Petron, G.

    2015-12-01

    During the Uinta Basin Winter Ozone Study (UBWOS) in Jan - Feb 2013, 735 tethered ozonesonde profiles were obtained at 3 sites including during high wintertime photochemical ozone production events that regularly exceeded 125 ppb. High resolution profiles of ozone and temperature with altitude, measured during daylight hours, showed the development of approximately week long high ozone episodes building from background levels of ~40 ppb to >150 ppb. The topography of the basin combined with a strong temperature inversion trapped oil and gas production effluents in the basin and the snow covered surface amplified the sun's radiation driving the photochemical ozone production at rates up to 13 ppb/hour in a cold layer capped at 1600-1700 meters above sea level. Beginning in mid-morning, ozone mixing ratios throughout the cold layer increased until late afternoon. Ozone mixing ratios were generally constant with height indicating that ozone production was nearly uniform throughout the depth of the cold pool. Although there was strong diurnal variation, ozone mixing ratios increased during the day more than decreased during the night, resulting in elevated levels the next morning; an indication that nighttime loss processes did not compensate for daytime production. Even though the 3 tethersonde sites were at elevations differing by as much as 140 m, the top of the high ozone layer was nearly uniform in altitude at the 3 locations. Mobile van surface ozone measurements across the basin confirmed this capped structure of the ozone layer; the vehicle drove out of high ozone mixing ratios at an elevation of ~1900 meters above sea level, above which free tropospheric ozone mixing ratios of ~50 ppb were measured. Exhaust plumes from a coal-fired power plant in the eastern portion of the basin were intercepted by the tethersondes. The structure of the profiles clearly showed that effluents in the plumes were not mixed downward and thus did not contribute precursor nitrogen

  12. [Pulse therapy (high doses of venous methylprednisolone) in children with rheumatic carditis. Prospective study of 40 episodes].

    Science.gov (United States)

    Herdy, G V; Couto, A A; Fernandes, J C; de Olivaes, M C; Berger, R; Elias, V E

    1993-06-01

    To use corticosteroids in a shorter period to treat rheumatic carditis, keeping the patient in the hospital; and verify the time interval of normalization of rheumatic activity tests with this method. In 36 patients (40 episodes) intravenous methyl-prednisolone (1g/day) was administered. The number of series ranged from two to four, according to severity of the disease. The ages ranged from 6 to 17 years old, all of them fulfilled the criteria of Jones for diagnosis of rheumatic fever. They were submitted to treatment to eradicate the streptococcus, worms, PPD and dental focus extraction, before use of corticosteroids. In all patients the signals and symptoms of heart failure improved. In six cases occurred complications during pulse therapy that were easily controlled with clinical measures. Two series of methylprednisolone were used in 10 children, three in nine and four in 21 episodes. Eight patients were sent to valve replacement. The interval of time that laboratory tests of rheumatic activity became negative was 41.2 +/- 13.3 days. Using this IV corticotherapy it was possible decrease the amount of days of this medication, keeping the patient in the hospital. In this way we eliminate the problem of interruption of the treatment. There was not significative difference between oral and IV corticotherapy in order to the laboratory tests become negative.

  13. Comparison of inorganic chemical compositions of atmospheric TSP, PM10 and PM2.5 in northern and southern Chinese coastal cities.

    Science.gov (United States)

    Ma, Yiding; Wang, Zongshuang; Tan, Yufei; Xu, Shu; Kong, Shaofei; Wu, Gang; Wu, Xuefang; Li, Hong

    2017-05-01

    To compare the inorganic chemical compositions of TSP (total suspended particulate), PM10 (particulate matter with an aerodynamic diameter less than 10μm) and PM2.5 (particulate matter with an aerodynamic diameter less than 2.5μm) in southern and northern cities in China, atmospheric particles were synchronously collected in Dalian (the northern city) and Xiamen (the southern city) in spring and autumn of 2004. The mass concentrations, twenty-three elements and nine soluble ions were assessed. The results show that in Dalian, the mass concentrations of Mg, Al, Ca, Mn and Fe in spring were 4.0-10.1, 2.6-8.0, 4.1-12, 1.2-3.6 and 2.9-7.9 times higher, respectively, than those in Xiamen. The dust storm influence is more obvious in Dalian in spring. However, in Xiamen, heavy metals accounted for 13.9%-17.9% of TSP, while heavy metals contributed to 5.5%-9.3% of TSP in Dalian. These concentrations suggest that heavy metal pollution in Xiamen was more serious. In addition, the concentrations of Na+, Cl-, Ca2+ and Mg2+ were higher in Dalian due to the influence of marine aerosol, construction activities and soil dust. The NO3-/SO42- ratios in Dalian (0.25-0.49) were lower than those in Xiamen (0.51-0.62), indicating that the contributions of vehicle emission to particles in Xiamen were higher. Coefficient of divergence values was higher than 0.40, implying that the inorganic chemical composition profiles for the particles of Dalian and Xiamen were quite different from each other. Copyright © 2016. Published by Elsevier B.V.

  14. Short-term exposure to ambient fine particulate matter (PM2,5 and PM10 and the risk of heart rhythm abnormalities and stroke

    Directory of Open Access Journals (Sweden)

    Małgorzata Kowalska

    2016-09-01

    Full Text Available Results of epidemiological studies suggest a significant impact of ambient particulate matter air pollution (PM10 and PM2,5 on the health of the population. Increased level of these pollutants is connected with increased rate of daily mortality and hospitalizations due to cardiovascular diseases. Among analyzed health effects, heart arrhythmias and stroke are mentioned most frequently. The aim of the study was to present the current knowledge of potential influence of the exposure to fine particulate matter on the presence of arrhythmias and strokes. Subject literature review suggests, that there is a link between short-term exposure to fine dust and the occurrence of arrhythmias. Results of previous studies indicates that this exposure may lead to significant electrophysiological changes in heart, resulting in higher susceptibility to cardiac rhythm abnormalities. In case of stroke, a stronger correlation between number of hospitalizations and death cases and exposure to fine dust was seen for ischaemic stroke than for haemorhhagic stroke. In addition, a significantly more harmful impact of the exposure to ultra particles (particles of aerodynamic diameter below 2,5 μm has been confirmed. Among important mechanisms responsible for observed health impact of particulate matter there are: induction and intensification of inflammation, increased oxidative stress, increased autonomic nervous system activity, vasoconstriction, rheological changes and endothelial dysfunction. Among people of higher susceptibility to fine dust negative health impact are: elderly (over 65 years old, obese people, patients with respiratory and cardiovascular diseases, patients with diabetes and those with coagulation disorders. For further improvement of general health status, actions aimed at reducing the risk associated with fine dust and at the same time at continuing studies to clarify the biological mechanisms explaining the influence of fine dust on human health

  15. Source apportionment by PMF on elemental concentrations obtained by PIXE analysis of PM10 samples collected at the vicinity of lignite power plants and mines in Megalopolis, Greece

    Science.gov (United States)

    Manousakas, M.; Diapouli, E.; Papaefthymiou, H.; Migliori, A.; Karydas, A. G.; Padilla-Alvarez, R.; Bogovac, M.; Kaiser, R. B.; Jaksic, M.; Bogdanovic-Radovic, I.; Eleftheriadis, K.

    2015-04-01

    Particulate matter (PM) is an important constituent of atmospheric pollution especially in areas under the influence of industrial emissions. Megalopolis is a small city of 10,000 inhabitants located in central Peloponnese in close proximity to three coal opencast mines and two lignite fired power plants. 50 PM10 samples were collected in Megalopolis during the years 2009-11 for elemental and multivariate analysis. For the elemental analysis PIXE was used as one of the most effective techniques in APM analytical characterization. Altogether, the concentrations of 22 elements (Z = 11-33), whereas Black Carbon was also determined for each sample using a reflectometer. Factorization software was used (EPA PMF 3.0) for source apportionment analysis. The analysis revealed that major emission sources were soil dust 33% (7.94 ± 0.27 μg/m3), biomass burning 19% (4.43 ± 0.27 μg/m3), road dust 15% (3.63 ± 0.37 μg/m3), power plant emissions 13% (3.01 ± 0.44 μg/m3), traffic 12% (2.82 ± 0.37 μg/m3), and sea spray 8% (1.99 ± 0.41 μg/m3). Wind trajectories have suggested that metals associated with emission from the power plants came mainly from west and were connected with the locations of the lignite mines located in this area. Soil resuspension, road dust and power plant emissions increased during the warm season of the year, while traffic/secondary, sea spray and biomass burning become dominant during the cold season.

  16. [Mixed episode: complex recognition and complicated treatment].

    Science.gov (United States)

    Gargoloff, Pedro Rafael

    2003-01-01

    Mixed Episode is a complex syndrome with difficult in its recognition, the most prolonged duration of bipolar episodes, more frequent psychotic profile than Pure Manic Episode, with high suicidality and poor response to drugs.