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Sample records for models pm10 particulate

  1. Mineralogical characterization of airborne individual particulates in Beijing PM10

    Institute of Scientific and Technical Information of China (English)

    LU Sen-lin; SHAO Long-yi; WU Ming-hong; JIAO Zheng

    2006-01-01

    This work mainly focuses on the mineralogical study of particulate matter(PM10) in Beijing. Samples were collected on polycarbonate filter from April, 2002 to March, 2003 in Beijing urban area. Scanning electronic microscopy coupled with energy dispersive X-ray(SEM/EDX) was used to investigate individual mineral particles in Beijing PM10. 1454 individual mineral particulates from 48 samples were analysed by SEM/EDX. The results revealed that mineral particulates were complex and heterogeneous. 38kinds of minerals in PM10 were identified. The clay minerals, of annual average percentage of 30.1% , were the main composition among the identified minerals, and illite/smectite was the main composition in clay minerals, reaching up to 35%. Annual average percentage of quartz, calcite, compound particulates, carbonates were 13.5%, 10.9%, 11.95%, 10.31%, respectively. Annual average percentage less than 10% were gypsum, feldspar, dolomite, and so on. Fluorite, apatite, halite, barite and chloridize zinc (ZnCl2) were firstly identified in Beijing PM10. Sulfurization was found on surface of mineral particles, suggested extensive atmospheric reaction in air during summer.

  2. Simulating Dry Deposition Fluxes of PM10 and Particulate Inorganic Nitrogen over the Eastern China Seas During a Severe Asian Dust Event Using WRF-Chem Model

    Institute of Scientific and Technical Information of China (English)

    YAN Han; GAO Huiwang; YAO Xiaohong; WANG Zifa

    2012-01-01

    A WRF-Chem model including a comprehensive gas-phase nitrogen chemistry module was used to simulate a severe dust event appearing in the eastern China on 19-25 March,2002.The modeling result well reproduced PM10 concentrations in various distances from the dust sources and the transport pathway of the dust strom.The results showed that both the concentrations and the dry deposition fluxes of PM10 increased over the China seas during the dust event following the passage of a cold front system.The maximum fluxes of PM10 in the Yellow Sea and the East China Sea during the dust event were 5.5 and 8.4 times of those before the event,respectively.However,the temporal variations of the dry deposition fluxes of particulate inorganic nitrogen differed over the Yellow Sea from those over the East China Sea.Nitrate and ammonium in the whole northern China rapidly decreased because of the intrusion of dust-loaded air on 19 March.The dust plume arrived in the Yellow Sea on 20 March,decreasing the particulate inorganic nitrogen in mass concentration accordingly.The minimum dry deposition fluxes of nitrate and ammonium in the Yellow Sea were about 3/5 and 1/6 of those before the dust arrival,respectively.In contrast,when the dust plume crossed over the Yangtze Delta area,it became abundant in nitrate and ammonium and increased the concentrations and dry deposition fluxes of particulate inorganic nitrogen over the East China Sea,where the maximum dry deposition fluxes of nitrate and ammonium increased approximately by 4.1 and 2.6 times of those prior to the dust arrival.

  3. PM10 modeling of Beijing in the winter

    Energy Technology Data Exchange (ETDEWEB)

    Song, Y.; Zhang, M.S.; Cai, X.H. [Peking University, Beijing (China). Dept. of Environmental Science

    2006-07-15

    The megacity of Beijing, China, has had an air pollution problem since the 1990s. The concentrations of particulate matter with an aerodynamic diameter less than 10 {mu}m (PM 10) in Beijing in the winter of 2000 were high; the average value of 188 {mu}g m{sup -3} was nearly four times the first grade national standard of 50 {mu}g m{sup -3}. The CALPUFF modeling system was used to simulate PM10 dispersion from 1 January 2000 to 29 February 2000. We used near real-time landcover data from the moderate resolution imaging spectroradiometer (MODIS). Statistical evaluation indicated that the model agreed well with the observations. The fluctuations of 24-h PM 10 concentrations followed the winter synoptic winds. Cold air from the northwest or north intruded over Beijing for average periods of 4 days in winter, accompanied by high wind speeds. PM10 was swept out of Beijing after the cold fronts and accumulated again once the winds stopped, until the next cold air intrusion. Capital Steel Corporation Limited contributed 46% of the PM10 mass concentrations observed in the Shijingshan industrial area, and had little effect on the eastern part or the center of Beijing. The other industrial regions distributed in southeastern Beijing accounted for an average of 18% of the PM10 in Beijing. Boilers associated with coal consumption mostly for winter heating contributed 31%. Motor vehicles and road dust contributed 5% and 13%, respectively. The total of residential heating in old houses and restaurants contributed approximately 7%. The primary PM10 emissions from electrical generating units were relatively low. Some suggestions are proposed for reducing PM10 pollution in Beijing.

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

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    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.

  5. The impact of ambient particulate matter (PM10) on the population mortality for cerebrovascular diseasesa case-crossover study

    Institute of Scientific and Technical Information of China (English)

    王旭英

    2013-01-01

    Objective To analyze the association between the concentration of ambient inhalable particulate matter(PM10) and population mortality for cerebrovascular diseases and to explore the impact of PM10 on cerebrovascular

  6. 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

  7. Spatial Correlation Analysis between Particulate Matter 10 (PM10) Hazard and Respiratory Diseases in Chiang Mai Province, Thailand

    Science.gov (United States)

    Trang, N. Ha; Tripathi, N. K.

    2014-11-01

    Every year, during dry season, Chiang Mai and other northern provinces of Thailand face the problem of haze which is mainly generated by the burning of agricultural waste and forest fire, contained high percentage of particulate matter. Particulate matter 10 (PM10), being very small in size, can be inhaled easily to the deepest parts of the human lung and throat respiratory functions. Due to this, it increases the risk of respiratory diseases mainly in the case of continuous exposure to this seasonal smog. MODIS aerosol images (MOD04) have been used for four weeks in March 2007 for generating the hazard map by linking to in-situ values of PM10. Simple linear regression model between PM10 and AOD got fair correlation with R2 = 0.7 and was applied to transform PM10 pattern. The hazard maps showed the dominance of PM10 in northern part of Chiang Mai, especially in second week of March when PM10 level was three to four times higher than standard. The respiratory disease records and public health station of each village were collected from Provincial Public Health Department in Chiang Mai province. There are about 300 public health stations out of 2070 villages; hence thiessen polygon was created to determine the representative area of each public health station. Within each thiessen polygon, respiratory disease incident rate (RDIR) was calculated based on the number of patients and population. Global Moran's I was computed for RDIR to explore spatial pattern of diseases through four weeks of March. Moran's I index depicted a cluster pattern of respiratory diseases in 2nd week than other weeks. That made sense for a relationship between PM10 and respiratory diseases infections. In order to examine how PM10 affect the human respiratory system, geographically weighted regression model was used to observe local correlation coefficient between RDIR and PM10 across study area. The result captured a high correlation between respiratory diseases and high level of PM10 in

  8. 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).

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

    Directory of Open Access Journals (Sweden)

    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.

  10. Effect of ceramic industrial particulate emission control on key components of ambient PM10.

    Science.gov (United States)

    Minguillón, María Cruz; Monfort, Eliseo; Querol, Xavier; Alastuey, Andrés; Celades, Irina; Miró, José Vicente

    2009-06-01

    The relationship between specific particulate emission control and ambient levels of some PM(10) components (Zn, As, Pb, Cs, Tl) was evaluated. To this end, the industrial area of Castellón (Eastern Spain) was selected, where around 40% of the EU glazed ceramic tiles and a high proportion of EU ceramic frits are produced. The PM(10) emissions from the ceramic processes were calculated over the period 2000-2006, taking into account the degree of implementation of corrective measures throughout the study period. Abatement systems were implemented in the majority of the fusion kilns for frit manufacture in the area as a result of the application of the Directive 1996/61/EC, leading to a marked decrease in PM(10) emissions. By contrast, emissions from tile manufacture remained relatively constant because of the few changes in the implementation of corrective measures. On the other hand, ambient PM(10) levels and composition measurements were carried out from 2002 to 2006. A high correlation between PM(10) emissions from frit manufacture and ambient levels of Zn, As, Pb and Cs (R(2) from 0.61 to 0.98) was observed. On the basis of these results, the potential impact of the implementation of corrective measures to reduce emissions from tile manufacture was quantified, resulting in a possible decrease of 3-5 microg/m(3) and 2 microg/m(3) in ambient mineral PM(10) (on an annual basis) in urban and suburban areas, respectively. This relatively simple methodology allows us to estimate the direct effect of a reduction in primary particulate emissions on ambient levels of key particulate components, and to make a preliminary quantification of the possibilities of air quality improvement by means of further emission reduction. Therefore, it is a useful tool for developing future air quality plans in the study area and in other industrialised areas.

  11. Level, potential sources of polycyclic aromatic hydrocarbons (PAHs) in particulate matter (PM10) in Naples

    Science.gov (United States)

    Di Vaio, Paola; Cocozziello, Beatrice; Corvino, Angela; Fiorino, Ferdinando; Frecentese, Francesco; Magli, Elisa; Onorati, Giuseppe; Saccone, Irene; Santagada, Vincenzo; Settimo, Gaetano; Severino, Beatrice; Perissutti, Elisa

    2016-03-01

    In Naples, particulate matter PM10 associated with polycyclic aromatic hydrocarbons (PAHs) in ambient air were determined in urban background (NA01) and urban traffic (NA02) sites. The principal objective of the study was to determine the concentration and distribution of PAHs in PM10 for identification of their possible sources (through diagnostic ratio - DR and principal component analysis - PCA) and an estimation of the human health risk (from exposure to airborne TEQ). Airborne PM10 samples were collected on quartz filters using a Low Volume Sampler (LVS) for 24 h with seasonal samples (autumn, winter, spring and summer) of about 15 days each between October 2012 and July 2013. The PM10 mass was gravimetrically determined. The PM10 levels, in all seasons, were significantly higher (P natural gas emissions. In particular diesel vehicular emissions were the major source of PAHs at the studied sites. The use of Toxicity Equivalence Quantity (TEQ) concentration provide a better estimation of carcinogenicity activities; health risk to adults and children associated with PAHs inhalation was assessed by taking into account the lifetime average daily dose and corresponding incremental lifetime cancer risk (ILCR). The ILCR was within the acceptable range (10-6-10-4), indicating a low health risk to residents in these areas.

  12. Modeling weekly maxima PM10 concentration in Malaysia

    Science.gov (United States)

    Hasan, Husna; Mansor, Nadiah

    2014-09-01

    Weekly maxima of daily maximum PM10 concentration measures from the Air Pollutant Index (API) for thirteen monitoring stations in Malaysia are modeled using the Generalized Extreme Value (GEV) distribution. The L-moments method was used to estimate the parameter and the type of GEV distribution was determined from the 95% confidence intervals of shape parameter, ξ. The result from the Root Mean Square Error (RMSE) and the Mean Absolute Error (MAE) show that Alor Setar and Kemaman were the best stations that converged to the distribution. The return levels of PM10 concentration that is expected to exceed the maximum once within a selected period are obtained for all stations.

  13. Cluster analysis of particulate matter (PM10) and black carbon (BC) concentrations

    Science.gov (United States)

    Žibert, Janez; Pražnikar, Jure

    2012-09-01

    The monitoring of air-pollution constituents like particulate matter (PM10) and black carbon (BC) can provide information about air quality and the dynamics of emissions. Air quality depends on natural and anthropogenic sources of emissions as well as the weather conditions. For a one-year period the diurnal concentrations of PM10 and BC in the Port of Koper were analysed by clustering days into similar groups according to the similarity of the BC and PM10 hourly derived day-profiles without any prior assumptions about working and non-working days, weather conditions or hot and cold seasons. The analysis was performed by using k-means clustering with the squared Euclidean distance as the similarity measure. The analysis showed that 10 clusters in the BC case produced 3 clusters with just one member day and 7 clusters that encompasses more than one day with similar BC profiles. Similar results were found in the PM10 case, where one cluster has a single-member day, while 7 clusters contain several member days. The clustering analysis revealed that the clusters with less pronounced bimodal patterns and low hourly and average daily concentrations for both types of measurements include the most days in the one-year analysis. A typical day profile of the BC measurements includes a bimodal pattern with morning and evening peaks, while the PM10 measurements reveal a less pronounced bimodality. There are also clusters with single-peak day-profiles. The BC data in such cases exhibit morning peaks, while the PM10 data consist of noon or afternoon single peaks. Single pronounced peaks can be explained by appropriate cluster wind speed profiles. The analysis also revealed some special day-profiles. The BC cluster with a high midnight peak at 30/04/2010 and the PM10 cluster with the highest observed concentration of PM10 at 01/05/2010 (208.0 μg m-3) coincide with 1 May, which is a national holiday in Slovenia and has very strong tradition of bonfire parties. The clustering of

  14. The regional prediction model of PM10 concentrations for Turkey

    Science.gov (United States)

    Güler, Nevin; Güneri İşçi, Öznur

    2016-11-01

    This study is aimed to predict a regional model for weekly PM10 concentrations measured air pollution monitoring stations in Turkey. There are seven geographical regions in Turkey and numerous monitoring stations at each region. Predicting a model conventionally for each monitoring station requires a lot of labor and time and it may lead to degradation in quality of prediction when the number of measurements obtained from any õmonitoring station is small. Besides, prediction models obtained by this way only reflect the air pollutant behavior of a small area. This study uses Fuzzy C-Auto Regressive Model (FCARM) in order to find a prediction model to be reflected the regional behavior of weekly PM10 concentrations. The superiority of FCARM is to have the ability of considering simultaneously PM10 concentrations measured monitoring stations in the specified region. Besides, it also works even if the number of measurements obtained from the monitoring stations is different or small. In order to evaluate the performance of FCARM, FCARM is executed for all regions in Turkey and prediction results are compared to statistical Autoregressive (AR) Models predicted for each station separately. According to Mean Absolute Percentage Error (MAPE) criteria, it is observed that FCARM provides the better predictions with a less number of models.

  15. 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.

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

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    G. Kiesewetter

    2014-07-01

    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.

  17. 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.

  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 traffic stations and 80% of the stations which exceeded the EU air quality limit values in 2009. As a validation, we compare modelled trends in the period 2000-2008 to observations, which are well reproduced. The modelling scheme is applied here to quantify explicitly source contributions to ambient concentrations at several critical monitoring stations, displaying the differences in spatial origin and chemical composition of urban roadside PM10 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.

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

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    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.

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

    OpenAIRE

    Samsuri Abdullah; Marzuki Ismail; Si Yuen Fong; Al Mahfoodh Ali Najah Ahmed

    2016-01-01

    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 qu...

  1. Analysis of concentration levels of particulate matter (PM10, total suspended particulates and black smoke in the city of Zrenjanin

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    Vujić Bogdana B.

    2010-01-01

    Full Text Available Air quality monitoring on the territory of AP Vojvodina was initiated in mid 90s. During the last decade of the 20th century the development of the air quality monitoring in Serbia didn’t keep up with the pace of the other countries in the region due to political isolation and severe economic crisis. Monitoring of the particular pollutants was conducted unsystematically and sporadically. Data presented in this paper were obtained on the territory of the city of Zrenjanin, which represents typical agglomeration in the region in regard to its geographical location, population, level of industry development and the presence of natural gas as energy product in the remote and domestic heating system of residential objects. Available data on the concentration levels of PM10 (particulate matter with aerodynamic diameter less than 10 μm, TSP (total suspended particulates and BS (black smoke during the period of 2005-2007 (three cold and three warm seasons have been used in this work in order to carry out analysis and comparison of the daily concentration levels of PM10, TSP and BS and their seasonal variation.

  2. Modelling of PM10 concentration for industrialized area in Malaysia: A case study in Shah Alam

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    N, Norazian Mohamed; Abdullah, M. M. A.; Tan, Cheng-yau; Ramli, N. A.; Yahaya, A. S.; Fitri, N. F. M. Y.

    In Malaysia, the predominant air pollutants are suspended particulate matter (SPM) and nitrogen dioxide (NO2). This research is on PM10 as they may trigger harm to human health as well as environment. Six distributions, namely Weibull, log-normal, gamma, Rayleigh, Gumbel and Frechet were chosen to model the PM10 observations at the chosen industrial area i.e. Shah Alam. One-year period hourly average data for 2006 and 2007 were used for this research. For parameters estimation, method of maximum likelihood estimation (MLE) was selected. Four performance indicators that are mean absolute error (MAE), root mean squared error (RMSE), coefficient of determination (R2) and prediction accuracy (PA), were applied to determine the goodness-of-fit criteria of the distributions. The best distribution that fits with the PM10 observations in Shah Alamwas found to be log-normal distribution. The probabilities of the exceedences concentration were calculated and the return period for the coming year was predicted from the cumulative density function (cdf) obtained from the best-fit distributions. For the 2006 data, Shah Alam was predicted to exceed 150 μg/m3 for 5.9 days in 2007 with a return period of one occurrence per 62 days. For 2007, the studied area does not exceed the MAAQG of 150 μg/m3

  3. Toxicity of Ambient Particulate Matter IV: Acute toxicity study in pulmonary hypertensive rats after exposure to model compounds for the secondary aerosol fraction of PM10 - ammonium bisulfate, ferrosulfate and nitrate

    NARCIS (Netherlands)

    Cassee FR; Boere AJF; Fokkens PHB; Dormans JAMA; Bree L van; Rombout PJA; LEO; LPI

    1999-01-01

    This (4th) report on the toxicity of ambient particulate matter (PM) presents effects of the model compounds for PM in ambient air - ammonium bisulfate, ammonium ferrosulfate and ammonium nitrate - on healthy rats and rats with monocrotaline-induced pulmonary hypertension (PH). The objective was bas

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

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    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.

  5. PM10 modeling in the Oviedo urban area (Northern Spain) by using multivariate adaptive regression splines

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    Nieto, Paulino José García; Antón, Juan Carlos Álvarez; Vilán, José Antonio Vilán; García-Gonzalo, Esperanza

    2014-10-01

    The aim of this research work is to build a regression model of the particulate matter up to 10 micrometers in size (PM10) by using the multivariate adaptive regression splines (MARS) technique in the Oviedo urban area (Northern Spain) at local scale. This research work explores the use of a nonparametric regression algorithm known as multivariate adaptive regression splines (MARS) which has the ability to approximate the relationship between the inputs and outputs, and express the relationship mathematically. In this sense, hazardous air pollutants or toxic air contaminants refer to any substance that may cause or contribute to an increase in mortality or serious illness, or that may pose a present or potential hazard to human health. To accomplish the objective of this study, the experimental dataset of nitrogen oxides (NOx), carbon monoxide (CO), sulfur dioxide (SO2), ozone (O3) and dust (PM10) were collected over 3 years (2006-2008) and they are used to create a highly nonlinear model of the PM10 in the Oviedo urban nucleus (Northern Spain) based on the MARS technique. One main objective of this model is to obtain a preliminary estimate of the dependence between PM10 pollutant in the Oviedo urban area at local scale. A second aim is to determine the factors with the greatest bearing on air quality with a view to proposing health and lifestyle improvements. The United States National Ambient Air Quality Standards (NAAQS) establishes the limit values of the main pollutants in the atmosphere in order to ensure the health of healthy people. Firstly, this MARS regression model captures the main perception of statistical learning theory in order to obtain a good prediction of the dependence among the main pollutants in the Oviedo urban area. Secondly, the main advantages of MARS are its capacity to produce simple, easy-to-interpret models, its ability to estimate the contributions of the input variables, and its computational efficiency. Finally, on the basis of

  6. Correlation between plasmid DNA damage induced by PM10 and trace metals in inhalable particulate matters in Beijing air

    Institute of Scientific and Technical Information of China (English)

    Lü; Senlin

    2006-01-01

    [1]Wei F S,Chapman R S.Study on Effect of Air Pollution on Respiratory Health Effect (in Chinese).Beijing:China Environmental Science Press,2001.1-16[2]Chapman R S,Watkinson W P,Dreher K L,et al.Ambient particulate matter and respiratory and cardiovascular illness in adults:particle-borne transition metals and the heart-lung axis.Environ Toxicol and Pharmacol,1997,4:331-338[3]Donaldson K,Beswick P H,Gilmour P S.Free radical activity associated with the surface of particles:a unifying factor in determining biological activity? Toxicol Lett,1996,293-298[4]Donaldson K,Brown D M,Mitchell C,et al.Free radical activity of PM10:iron-mediated generation of hydroxyl radicals.Environ Health Perspect,1997,105(S5):1285-1289[5]Donaldson K,Li X,MacNee W.Ultrafine (Nanometer) particle mediated lung injury.J Aero Sci,1998,29:553-560[6]Li X,Gilmour P S,Donaldson K,et al.In vivo and in vitro proinflammatory effects of particulate air pollution (PM10).Environ Health Perspect,1997,105(S5):1279-1283[7]Greenwell L L,Moreno T,Jones T P,et al.Particle-induced oxidative damage is ameliorated by pulmonary antioxidants.Free Radical Biol Medi,2002,32,898-905[8]Greenwell L L,Moreno T,Richard R J.Pulmonary antioxidants exert differential protective effects against urban and industrial particulate matter.J Biosci,2003,28(1):101-107[9]Poli G,Parola M.Oxidative damage and fibrogenesis.Free Radical Biol Medi,1996,22:287-305[10]Costa D L,Dreher K L.Bioavailable transition metals in particulate matter mediate cardiopulmonary injury in healthy and compromised animal models.Environ Health Perspect,1997,105(Supp.5):1053-1060[11]Richards R J,Atkins J,Marrs T C,et al.The biochemical and pathological changes produced by the intraacheal instillation of certain components of zinc hexachloroethane smoke.Toxicol Lett,1989,54:79-88[12]Adamson I Y R,Prieditis H,Hedgecock C,et al.Zinc is the toxic factor in the lung response to an atmospheric particulate sample.Toxicol Appl Pharmacol,2000,166:111-119[13]Wang Y Q

  7. A spatially varying coefficient model for mapping PM10 air quality at the European scale

    NARCIS (Netherlands)

    Hamm, N.A.S.; Finley, A.O.; Schaap, M.; Stein, A.

    2015-01-01

    Particulate matter (PM) air quality in Europe has improved substantially over the past decades, but it still poses a significant threat to human health. Accurate regional scale maps of PM10 concentrations are needed for monitoring progress in mitigation strategies and monitoring compliance with stat

  8. PAH in airborne particulate matter.. Carcinogenic character of PM10 samples and assessment of the energy generation impact

    Energy Technology Data Exchange (ETDEWEB)

    Callen, M.S.; Cruz, M.T. de la; Lopez, J.M.; Mastral, A.M. [Instituto de Carboquimica (CSIC), Zaragoza (Spain)

    2011-02-15

    One of the main anthropogenic sources producing Polycyclic Aromatic Hydrocarbons (PAH) is related to combustion processes especially transport, power generation processes and other industrial activities. Therefore, the main cities constitute one of the main pollution sources for population. Due to the carcinogenic character of some of these pollutants, Directive 2004/107/EC established a target value of 1.0 ng/m{sup 3} with regard to Benzo(a)pyrene (BaP) for the total content in the particulate matter fraction averaged over a calendar year. Nevertheless, the consideration of only BaP can underestimate the carcinogenic character of the particulate matter. In this work, the carcinogenic character of the airborne PM10 of Zaragoza was studied during 2003-2004 by determining the concentration of BaP equivalents (BaP-eq), using toxic equivalent factors provided by Larsen and Larsen. Diagnostic ratios were used to discern regarding the main pollution sources in Zaragoza city in which the prevailing emission sources were related to diesel emissions and combustion sources. As PAH can travel long distances around the world, the impact of local pollution sources and long-range atmospheric transport on those samples exceeding 1.0 ng/m{sup 3} of BaP-eq that imply higher risk for human health were assessed by considering BaA/Chry and BaP/BeP ratios and by studying the origin of the air masses with the backward air trajectories according to the HYSPLIT model. Those samples were mainly produced during cold season. The local pollution sources were the dominant sources although one episode of long-range transport from European countries could be observed. (author)

  9. 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.

  10. Investigation of source-emission PM-10 particulate matter field studies of candidate methods. Final report

    Energy Technology Data Exchange (ETDEWEB)

    Farthing, W.E.; Williamson, A.D.; Dawes, S.S.; Martin, R.S.; Ragland, J.W.

    1986-12-01

    The report outlines the results of four field tests of two candidate methods for source PM10 measurement. The first method involves a new sampling-train design which incorporates emission gas recycle (EGR) to avoid the anisokinetic sampling bias inherent in size-specific emissions measurement. The second technique, the simulated Method 5 (SIM-5) approach, uses existing sampling hardware with an altered traversing protocol to minimize this bias. The results of the test series suggest that both techniques are sufficiently advanced that they should be documented in more detail for potential use as sampling methods. Further, more extensive testing should be performed in order to define precision, reproducibility, and comparability of each technique as well as identify potential sources of interference or bias.

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

    Science.gov (United States)

    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/m(3

  12. Effect of particulate matter less than 10μm (PM10 on mortality in Bogota, Colombia: a time-series analysis, 1998-2006

    Directory of Open Access Journals (Sweden)

    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.

  13. 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.

  14. 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

  15. Displaced calibration of PM10 measurements using spatio-temporal models

    Directory of Open Access Journals (Sweden)

    Daniela Cocchi

    2007-12-01

    Full Text Available PM10 monitoring networks are equipped with heterogeneous samplers. Some of these samplers are known to underestimate true levels of concentrations (non-reference samplers. In this paper we propose a hierarchical spatio-temporal Bayesian model for the calibration of measurements recorded using non-reference samplers, by borrowing strength from non co-located reference sampler measurements.

  16. Asthma and PM10

    Directory of Open Access Journals (Sweden)

    Gilmour M Ian

    2000-07-01

    Full Text Available Abstract PM10 (the mass of particles present in the air having a 50% cutoff for particles with an aerodynamic diameter of 10 μm is the standard measure of particulate air pollution used worldwide. Epidemiological studies suggest that asthma symptoms can be worsened by increases in the levels of PM10. Epidemiological evidence at present indicates that PM10 increases do not raise the chances of initial sensitisation and induction of disease, although further research is warranted. PM10 is a complex mixture of particle types and has many components and there is no general agreement regarding which component(s could lead to exacerbations of asthma. However pro-inflammatory effects of transition metals, hydrocarbons, ultrafine particles and endotoxin, all present to varying degrees in PM10, could be important. An understanding of the role of the different components of PM10 in exacerbating asthma is essential before proper risk assessment can be undertaken leading to advice on risk management for the many asthmatics who are exposed to air pollution particles.

  17. Modeling extreme PM10 concentration in Malaysia using generalized extreme value distribution

    Science.gov (United States)

    Hasan, Husna; Mansor, Nadiah; Salleh, Nur Hanim Mohd

    2015-05-01

    Extreme PM10 concentration from the Air Pollutant Index (API) at thirteen monitoring stations in Malaysia is modeled using the Generalized Extreme Value (GEV) distribution. The data is blocked into monthly selection period. The Mann-Kendall (MK) test suggests a non-stationary model so two models are considered for the stations with trend. The likelihood ratio test is used to determine the best fitted model and the result shows that only two stations favor the non-stationary model (Model 2) while the other eleven stations favor stationary model (Model 1). The return level of PM10 concentration that is expected to exceed the maximum once within a selected period is obtained.

  18. Automated method for simultaneous lead and strontium isotopic analysis applied to rainwater samples and airborne particulate filters (PM10).

    Science.gov (United States)

    Beltrán, Blanca; Avivar, Jessica; Mola, Montserrat; Ferrer, Laura; Cerdà, Víctor; Leal, Luz O

    2013-09-03

    A new automated, sensitive, and fast system for the simultaneous online isolation and preconcentration of lead and strontium by sorption on a microcolumn packed with Sr-resin using an inductively coupled plasma mass spectrometry (ICP-MS) detector was developed, hyphenating lab-on-valve (LOV) and multisyringe flow injection analysis (MSFIA). Pb and Sr are directly retained on the sorbent column and eluted with a solution of 0.05 mol L(-1) ammonium oxalate. The detection limits achieved were 0.04 ng for lead and 0.03 ng for strontium. Mass calibration curves were used since the proposed system allows the use of different sample volumes for preconcentration. Mass linear working ranges were between 0.13 and 50 ng and 0.1 and 50 ng for lead and strontium, respectively. The repeatability of the method, expressed as RSD, was 2.1% and 2.7% for Pb and Sr, respectively. Environmental samples such as rainwater and airborne particulate (PM10) filters as well as a certified reference material SLRS-4 (river water) were satisfactorily analyzed obtaining recoveries between 90 and 110% for both elements. The main features of the LOV-MSFIA-ICP-MS system proposed are the capability to renew solid phase extraction at will in a fully automated way, the remarkable stability of the column which can be reused up to 160 times, and the potential to perform isotopic analysis.

  19. 40 CFR Appendix O to Part 50 - Reference Method for the Determination of Coarse Particulate Matter as PM10-2.5 in the Atmosphere

    Science.gov (United States)

    2010-07-01

    ... percent confidence limit for the coefficient of variation (CV) of 15 percent. Reference 1 in section 13 of... Coarse Particulate Matter as PM10-2.5 in the Atmosphere 1.0Applicability and Definition 1.1This method...

  20. Developing a methodology to predict PM10 concentrations in urban areas using generalized linear models.

    Science.gov (United States)

    Garcia, J M; Teodoro, F; Cerdeira, R; Coelho, L M R; Kumar, Prashant; Carvalho, M G

    2016-09-01

    A methodology to predict PM10 concentrations in urban outdoor environments is developed based on the generalized linear models (GLMs). The methodology is based on the relationship developed between atmospheric concentrations of air pollutants (i.e. CO, NO2, NOx, VOCs, SO2) and meteorological variables (i.e. ambient temperature, relative humidity (RH) and wind speed) for a city (Barreiro) of Portugal. The model uses air pollution and meteorological data from the Portuguese monitoring air quality station networks. The developed GLM considers PM10 concentrations as a dependent variable, and both the gaseous pollutants and meteorological variables as explanatory independent variables. A logarithmic link function was considered with a Poisson probability distribution. Particular attention was given to cases with air temperatures both below and above 25°C. The best performance for modelled results against the measured data was achieved for the model with values of air temperature above 25°C compared with the model considering all ranges of air temperatures and with the model considering only temperature below 25°C. The model was also tested with similar data from another Portuguese city, Oporto, and results found to behave similarly. It is concluded that this model and the methodology could be adopted for other cities to predict PM10 concentrations when these data are not available by measurements from air quality monitoring stations or other acquisition means.

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

    Directory of Open Access Journals (Sweden)

    F. Guarnieri

    2015-01-01

    Full Text Available 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.

  2. 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.

  3. Source characterization of PM10 and PM2.5 mass using a chemical mass balance model at urban roadside.

    Science.gov (United States)

    Srimuruganandam, B; Shiva Nagendra, S M

    2012-09-01

    The 24-h average ambient particulate matter (PM(10) and PM(2.5)) concentrations are sampled concurrently during November 2008-April 2009 at a busy roadside in Chennai City, India. The elemental (Ag, Al, As, B, Ba, Be, Bi, Ca, Cd, Co, Cr, Cu, Fe, Ga, K, Li, Mg, Mn, Mo, Na, Ni, Pb, Rb, Se, Sr, Te, Tl, V and Zn) and ionic (Na(+), NH(4)(+), K(+), Ca(2+), Mg(2+), F(-), Cl(-), NO(2)(-), NO(3)(-) and SO(4)(2-)) composition of PM(10) and PM(2.5) are determined using an inductively coupled plasma-optical emission spectrometer (ICP-OES) and an ion chromatograph (IC), respectively. The emission inventory at the study area is also carried out to identify the likely PM emission sources. The U.S. EPA's-CMB (chemical mass balance) version 8.2 is applied to identify the source contribution of ambient PM(10) and PM(2.5) concentrations at the study area. Results indicated that diesel exhausts (43-52% in PM(10) and 44-65% in PM(2.5)) and gasoline exhausts (6-16% in PM(10) and 3-8% in PM(2.5)) are found to be the major source contributors at the study site followed by the paved road dusts (PM(10)=PM(2.5)=0.-2.3%), brake lining dusts (0.1% in PM(10) and 0.2% in PM(2.5)), brake pad wear dusts (0.1% in PM(10) and 0.01% in PM(2.5)), marine aerosols (PM(10)=PM(2.5)=0.1%) and cooking (~0.8% in PM(10) and ~1.5% in PM(2.5)). Copyright © 2012 Elsevier B.V. All rights reserved.

  4. 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.

  5. Magnetic properties of atmospheric particulate matter from automatic air sampler stations in Latium (Italy): Toward a definition of magnetic fingerprints for natural and anthropogenic PM10 sources

    Science.gov (United States)

    Sagnotti, Leonardo; Macrı, Patrizia; Egli, Ramon; Mondino, Manlio

    2006-12-01

    Environmental problems linked to the concentration of atmospheric particulate matter with dimensions less than 10 μm (PM10) in urban settings have stimulated a variety of scientific researches. This study reports a systematic analysis of the magnetic properties of PM10 samples collected by six automatic stations installed for air quality monitoring through the Latium Region (Italy). We measured the low-field magnetic susceptibility of daily air filters collected during the period July 2004 to July 2005. For each station, we derived an empirical linear correlation linking magnetic susceptibility to the concentration of PM10 produced by local sources (i.e., in absence of significant inputs of exogenous dust). An experimental approach is suggested for estimating the percentage of nonmagnetic PM10 transported from natural far-sided sources (i.e., dust from North Africa and marine aerosols). Moreover, we carried out a variety of additional magnetic measurements to investigate the magnetic mineralogy of selected air filters spanning representative periods. The results indicate that the magnetic fraction of PM10 is composed by a mixture of low-coercivity, magnetite-like, ferrimagnetic particles with a wide spectrum of grain sizes, related to a variety of natural and anthropogenic sources. The natural component of PM10 has a characteristic magnetic signature that is indistinguishable from that of eolian dust. The anthropogenic PM10 fraction is mostly originated from circulating vehicles and is a mixture of prevailing fine superparamagnetic particles and subordinate large multidomain grains; the former are more directly related to exhaust, whereas the latter may be associated to abrasion of metallic parts.

  6. Forecasting of PM10 time series using wavelet analysis and wavelet-ARMA model in Taiyuan, China.

    Science.gov (United States)

    Zhang, Hong; Zhang, Sheng; Wang, Ping; Qin, Yuzhe; Wang, Huifeng

    2017-02-23

    PM10 forecasting is difficult because of the uncertainties in describing the emission and meteorological fields. This paper proposed a wavelet-ARMA/ARIMA model to forecast the short-time series of the PM10 concentrations. It was evaluated by experiments using a 10-year dataset of daily PM10 concentrations from 4 stations located in Taiyuan, China. The results indicated the following: 1) PM10 concentrations of Taiyuan had a decreasing trend during 2005 to 2012 but it was increased in 2013. PM10 concentrations had an obvious seasonal fluctuation related with coal fired heating in winter and early spring. 2) Spatial difference among four stations showed that the PM10 concentrations in industrial and heavily trafficked areas were higher than those in residential and suburb areas. 3) Wavelet analysis revealed that the trend variation and the changes of the PM10 concentration of Taiyuan were complicated. 4) The proposed wavelet-ARIMA model could be efficiently and successfully applied to the PM10 forecasting field. Compared with the traditional ARMA/ARIMA methods, this wavelet-ARMA/ARIMA method could effectively reduce the forecasting error, improve the prediction accuracy, and realize multi-time scale prediction.

  7. 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

  8. Estimating urban ground-level PM10 using MODIS 3km AOD product and meteorological parameters from WRF model

    Science.gov (United States)

    Ghotbi, Saba; Sotoudeheian, Saeed; Arhami, Mohammad

    2016-09-01

    Satellite remote sensing products of AOD from MODIS along with appropriate meteorological parameters were used to develop statistical models and estimate ground-level PM10. Most of previous studies obtained meteorological data from synoptic weather stations, with rather sparse spatial distribution, and used it along with 10 km AOD product to develop statistical models, applicable for PM variations in regional scale (resolution of ≥10 km). In the current study, meteorological parameters were simulated with 3 km resolution using WRF model and used along with the rather new 3 km AOD product (launched in 2014). The resulting PM statistical models were assessed for a polluted and largely variable urban area, Tehran, Iran. Despite the critical particulate pollution problem, very few PM studies were conducted in this area. The issue of rather poor direct PM-AOD associations existed, due to different factors such as variations in particles optical properties, in addition to bright background issue for satellite data, as the studied area located in the semi-arid areas of Middle East. Statistical approach of linear mixed effect (LME) was used, and three types of statistical models including single variable LME model (using AOD as independent variable) and multiple variables LME model by using meteorological data from two sources, WRF model and synoptic stations, were examined. Meteorological simulations were performed using a multiscale approach and creating an appropriate physic for the studied region, and the results showed rather good agreements with recordings of the synoptic stations. The single variable LME model was able to explain about 61%-73% of daily PM10 variations, reflecting a rather acceptable performance. Statistical models performance improved through using multivariable LME and incorporating meteorological data as auxiliary variables, particularly by using fine resolution outputs from WRF (R2 = 0.73-0.81). In addition, rather fine resolution for PM

  9. 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.

  10. Concentrations, correlations and chemical species of PM2.5/PM10 based on published data in China: Potential implications for the revised particulate standard.

    Science.gov (United States)

    Zhou, Xuehua; Cao, Zhaoyu; Ma, Yujie; Wang, Linpeng; Wu, Ruidong; Wang, Wenxing

    2016-02-01

    Particulate matter (PM) has been of great concern in China due to the increasing haze pollution in recent years. In 2012, the Chinese national ambient air quality standard (NAAQS) was amended with a "more strict" regulation on the PM concentrations, i.e., 35 and 70 µg/m(3) for annual PM2.5 and PM10 averages, respectively (Grade-Ⅱ, GB3095-2012). To evaluate the potential of China to attain such new NAAQS and provide a more generalized chemical profile of PM in China, a comprehensive statistical analysis was carried out based on the published data of parallel PM2.5 and PM10 mass concentrations and chemical compositions of PM2.5 and PM10. The results show that most of the measured concentrations far exceed the new NAAQS. PM2.5 and PM10 show a strong positive correlation (R(2) = 0.87, p China. Organic carbon (OC), sulfate and crustal species are the three major components of PM. The NO3(-)/SO4(2-) ratios are 0.43 ± 0.26 in PM2.5 and 0.56 ± 0.29 in PM10, and the OC/EC ratios are 3.63 ± 1.73 in PM2.5 and 4.17 ± 2.09 in PM10, signifying that the stationary emissions from coal combustion remain the main PM source. An evaluation of PM2.5 situation in current China was carried out and the results show that it would take about 27 years to meet the limit value of 35 µg/m(3) in the revised standard, implying a rigorous challenge in PM2.5 control in China in the future.

  11. Estimation of PM10 concentrations over Seoul using multiple empirical models with AERONET and MODIS data collected during the DRAGON-Asia campaign

    Science.gov (United States)

    Seo, S.; Kim, J.; Lee, H.; Jeong, U.; Kim, W.; Holben, B. N.; Kim, S.-W.; Song, C. H.; Lim, J. H.

    2015-01-01

    The performance of various empirical linear models to estimate the concentrations of surface-level particulate matter with a diameter less than 10 μm (PM10) was evaluated using Aerosol Robotic Network (AERONET) sun photometer and Moderate-Resolution Imaging Spectroradiometer (MODIS) data collected in Seoul during the Distributed Regional Aerosol Gridded Observation Network (DRAGON)-Asia campaign from March to May 2012. An observed relationship between the PM10 concentration and the aerosol optical depth (AOD) was accounted for by several parameters in the empirical models, including boundary layer height (BLH), relative humidity (RH), and effective radius of the aerosol size distribution (Reff), which was used here for the first time in empirical modeling. Among various empirical models, the model which incorporates both BLH and Reff showed the highest correlation, which indicates the strong influence of BLH and Reff on the PM10 estimations. Meanwhile, the effect of RH on the relationship between AOD and PM10 appeared to be negligible during the campaign period (spring), when RH is generally low in northeast Asia. A large spatial dependency of the empirical model performance was found by categorizing the locations of the collected data into three different site types, which varied in terms of the distances between instruments and source locations. When both AERONET and MODIS data sets were used in the PM10 estimation, the highest correlations between measured and estimated values (R = 0.76 and 0.76 using AERONET and MODIS data, respectively) were found for the residential area (RA) site type, while the poorest correlations (R = 0.61 and 0.68 using AERONET and MODIS data, respectively) were found for the near-source (NS) site type. Significant seasonal variations of empirical model performances for PM10 estimation were found using the data collected at Yonsei University (one of the DRAGON campaign sites) over a period of 17 months including the DRAGON campaign

  12. Risk of Cardiovascular Hospitalizations from Exposure to Coarse Particulate Matter (PM10) Below the European Union Safety Threshold.

    Science.gov (United States)

    Vaduganathan, Muthiah; De Palma, Giuseppe; Manerba, Alessandra; Goldoni, Matteo; Triggiani, Marco; Apostoli, Pietro; Dei Cas, Livio; Nodari, Savina

    2016-04-15

    The association between exposure to air pollution and acute cardiovascular (CV) events is well documented; however, limited data are available evaluating the public health safety of various "doses" of particular matter (PM) below currently accepted safety thresholds. We explored the cross-sectional association between PM with aerodynamic diameter European Union daily limit value of 50 μg/m(3). From September 2004 to September 2007, data from 6,000 acute CV admissions to a tertiary referral center were collected. An increase of 1 μg/m(3) PM10 at lag 0-day was independently associated with higher rates of acute hospitalizations for composite CV-related events (relative risk [RR] 1.004, 95% confidence interval [CI] 1.002 to 1.006), acute heart failure (RR 1.004, 95% CI 1.001 to 1.008), acute coronary syndromes (RR 1.002, 95% CI 0.999 to 1.005), malignant ventricular arrhythmias (RR 1.004, 95% CI 0.999 to 1.010), and atrial fibrillation (RR 1.008, 95% CI 1.003 to 1.012). Similar results were obtained using PM10 lag 3-day data. The excess PM10 CV hospitalization risk (by lag 0-day and lag 3-day) did not vary significantly above and below the 50 μg/m(3) safety threshold or by age and gender. In conclusion, increased levels of PM10, even below the current limits set by the European Union, were associated with excess risk for admissions for acute CV events.

  13. Study on Estimated Model of PM10 Concentration in Nanjing City%南京市大气PM10浓度的估算模型研究

    Institute of Scientific and Technical Information of China (English)

    龚绍琦; 陈桂礼; 张茜茹; 李懿超; 李薛

    2016-01-01

    以南京市为例,利用空气污染指数API、气象数据和TERRA/AQUA卫星气溶胶光学厚度(AOD )产品,分析了南京市PM10浓度的变化规律,在PM10浓度与气象要素进行相关分析的基础上,初步建立了基于气象要素和AOD的PM10浓度估算模型。结果表明,南京市PM10浓度在每年11,12月或1月最高,7,8月最低,季节性变化表现为冬春季浓度最高,秋季其次,夏季最低,PM10浓度有逐年下降的趋势,但年均值仍高于国家II级标准;除了大气混合层高度外,PM10浓度与大气压、风速、气温、相对湿度、水汽压、能见度、气溶胶光学厚度都有较好的相关性;基于气象要素的PM10浓度估算模型的绝对系数 R2为0.510、平均相对误差为26.04%,基于AOD的PM10浓度估算模型以TERRA和AQUA卫星AOD平均值构建的最佳,绝对系数 R2为0.482、平均相对误差26.11%,两种模型对PM10的预测预报具有一定的指示意义。%Taking Nanjing city as an example ,using air pollution index API ,meteorological data and aerosol optical depth AOD retrieved by MODIS images of TERRA and AQUA satellite ,the variations of PM10 concentration are analyzed ,the rela-tionship of PM10 concentration and meteorological factors is discovered and the elementary estimated models of PM10 concen-tration are deduced based on the meteorological factors and AOD .The results show that the primary pollutant is PM10 ,the air quality grade is fine and the air quality trends to better in Nanjing ,that PM10 concentration is the highest in every Jan-uary ,November and December while it is the lowest in every July and August ,that is the highest in Winter or Spring ,sec-ond in Autumn and lowest in Summer ,and it trends to decrease ,but the annual average is still above the second level in na-tional standard ,that PM10 concentration has a good relationship with atmospheric pressure ,wind speed ,surface atmospheric

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

    Directory of Open Access Journals (Sweden)

    Gh. Goudarzi

    2015-08-01

    Conclusion: Using data processing in Excel, AirQ software calculates relative risks, attributable proportion, and baseline incidence and the final output would be displayed in the form of death toll. It is noteworthy that there is no model that can estimate the effect of all pollutants together and simultaneously. In addition, it was found that the annual PM10 emission mean, the summer mean, winter mean, and 98 percentile were 261, 376, 170, and 1268 μg/m3 in Ahvaz City. Cumulative number of persons for total number of deaths attributed to PM10 exposure was 1165 in 2009; Out of which, 44% has occurred in the days with concentrations lower than 250 μg/m3. It should be noted that 62% of this value is corresponded to the days with concentrations below 350 μg/m3. The total cumulative number of cardiovascular death attributed to the exposure with PM10 during one year of monitoring was 612 persons. On the other hand, 52% of these cases have occurred in days with PM10 levels not exceeding 300 μg/m3. Cumulative number of Hospital Admissions Respiratory Disease attributed to exposure with PM10 during one year of monitoring was 1551 persons; Out of which, 36 % occurred in days with PM10 levels not exceeding 200 μg/m3.

  15. Influence of organic and inorganic markers in the source apportionment of airborne PM10 in Zaragoza (Spain) by two receptor models.

    Science.gov (United States)

    Callén, M S; López, J M; Mastral, A M

    2013-05-01

    Improving knowledge on the apportionment of airborne particulate matter will be useful to handle and fulfill the legislation regarding this pollutant. The main aim of this work was to assess the influence of markers in the source apportionment of airborne PM10, in particular, whether the use of particle polycyclic aromatic hydrocarbon (PAH) and ions provided similar results to the ones obtained using not only the mentioned markers but also gas phase PAH and trace elements. In order to reach this aim, two receptor models: UNMIX and positive matrix factorization were applied to two sets of data in Zaragoza city from airborne PM10, a previously reported campaign (2003-2004) (Callén et al. Chemosphere 76:1120-1129, 2009), where PAH associated to the gas and particle phases, ions and trace elements were used as markers and a long sampling campaign (2001-2009), where only PAH in the particle phase and ions were analyzed. For both campaigns, positive matrix factorization was able to explain a higher number of sources than the UNMIX model. Independently of the sampling campaign and the receptor model used, soil resuspension was the main PM10 source, especially in the warm period (21st March-21st September), where most of the PM10 exceedances were produced. Despite some of the markers of anthropogenic sources were different for both campaigns, common sources associated to different combustion sources (coal, light-oil, heavier-oil, biomass, and traffic) were found and PAH in particle phase and ions seemed to be good markers for the airborne PM10 apportionment.

  16. Evolving Pb isotope signatures of London airborne particulate matter (PM 10)-constraints from on-filter and solution-mode MC-ICP-MS.

    Science.gov (United States)

    Noble, Stephen R; Horstwood, Matthew S A; Davy, Pamela; Pashley, Vanessa; Spiro, Baruch; Smith, Steve

    2008-07-01

    Pb isotope compositions of biologically significant PM(10) atmospheric particulates from a busy roadside location in London UK were measured using solution- and laser ablation-mode MC-ICP-MS. The solution-mode data for PM(10) sampled between 1998-2001 document a dramatic shift to increasingly radiogenic compositions as leaded petrol was phased out. LA-MC-ICP-MS isotope analysis, piloted on a subset of the available samples, is shown to be a potential reconnaissance analytical technique. PM(10) particles trapped on quartz filters were liberated from the filter surface, without ablating the filter substrate, using a 266 nm UV laser and a dynamic, large diameter, low-fluence ablation protocol. The Pb isotope evolution noted in the London data set obtained by both analytical protocols is similar to that observed elsewhere in Western Europe following leaded petrol elimination. The data therefore provide important baseline isotope composition information useful for continued UK atmospheric monitoring through the early 21(st) century.

  17. Future daily PM10 concentrations prediction by combining regression models and feedforward backpropagation models with principle component analysis (PCA)

    Science.gov (United States)

    Ul-Saufie, Ahmad Zia; Yahaya, Ahmad Shukri; Ramli, Nor Azam; Rosaida, Norrimi; Hamid, Hazrul Abdul

    2013-10-01

    Future PM10 concentration prediction is very important because it can help local authorities to enact preventative measures to reduce the impact of air pollution. The aims of this study are to improve prediction of Multiple Linear Regression (MLR) and Feedforward backpropagation (FFBP) by combining them with principle component analysis for predicting future (next day, next two-day and next three-day) PM10 concentration in Negeri Sembilan, Malaysia. Annual hourly observations for PM10 in Negeri Sembilan, Malaysia from January 2003 to December 2010 were selected for predicting PM10 concentration level. Eighty percent of the monitoring records were used for training and twenty percent were used for validation of the models. Three accuracy measures - Prediction Accuracy (PA), Coefficient of Determination (R2) and Index of Agreement (IA), as well as two error measures - Normalized Absolute Error (NAE) and Root Mean Square Error (RMSE) were used to evaluate the performance of the models. Results show that PCA models combined with MLR and PCA with FFBP improved MLR and FFBP models for all three days in advance of predicting PM10 concentration, with reduced errors by as much as 18.1% (PCA-MLR) and 17.68% (PCA-FFBP) for next day, 19.2% (PCA-MLR) and 22.1% (PCA-FFBP) for next two-day and 18.7% (PCA-MLR) and 22.79% (PCA-FFBP) for next three-day predictions. Including PCA improved the accuracy of the models by as much as by 12.9% (PCA-MLR) and 13.3% (PCA-FFBP) for next day, 32.3% (PCA-MLR) and 14.7% (PCA-FFBP) for next two-day and 46.1% (PCA-MLR) and 19.3% (PCA-FFBP) for next three-day predictions.

  18. Modeling Pareto efficient PM10 control policies in Northern Italy to reduce health effects

    Science.gov (United States)

    Pisoni, Enrico; Volta, Marialuisa

    High PM10 concentrations can cause human health problems, both related to short-term and long-term exposure to particles. In this work the impact of efficient PM10 control problems in Northern Italy is assessed by means of a two-stage methodology. In the first stage a multi-objective optimization approach is applied. The multi-objective problem defines two control objectives (the emission reduction costs and the air quality index) to be minimized varying the decision variables (precursor emission reductions). The solution of the multi-objective problem is the Pareto efficient PM10 control policies. In the second stage, the ExternE methodology is applied to estimate health impacts and external costs for the efficient emission reduction scenarios computed in the first stage. The methodology has been applied over Lombardia region, one of the most polluted areas in Europe.

  19. Quantification of vehicle fleet PM10 particulate matter emission factors from exhaust and non-exhaust sources using tunnel measurement techniques.

    Science.gov (United States)

    Lawrence, Samantha; Sokhi, Ranjeet; Ravindra, Khaiwal

    2016-03-01

    Road tunnels act like large laboratories; they provide an excellent environment to quantify atmospheric particles emission factors from exhaust and non-exhaust sources due to their known boundary conditions. Current work compares the High Volume, Dichotomous Stacked Filter Unit and Partisol Air Sampler for coarse, PM10 and PM2.5 particle concentration measurement and found that they do not differ significantly (p = 95%). PM2.5 fraction contributes 66% of PM10 proportions and significantly influenced by traffic (turbulence) and meteorological conditions. Mass emission factors for PM10 varies from 21.3 ± 1.9 to 28.8 ± 3.4 mg/vkm and composed of Motorcycle (0.0003-0.001 mg/vkm), Cars (26.1-33.4 mg/vkm), LDVs (2.4-3.0 mg/vkm), HDVs (2.2-2.8 mg/vkm) and Buses (0.1 mg/vkm). Based on Lawrence et al. (2013), source apportionment modelling, the PM10 emission of brake wear (3.8-4.4 mg/vkm), petrol exhaust (3.9-4.5 mg/vkm), diesel exhaust (7.2-8.3 mg/vkm), re-suspension (9-10.4 mg/vkm), road surface wear (3.9-4.5 mg/vkm), and unexplained (7.2 mg/vkm) were also calculated. The current study determined that the combined non-exhaust fleet PM10 emission factor (16.7-19.3 mg/vkm) are higher than the combined exhaust emission factor (11.1-12.8 mg/vkm). Thus, highlight the significance of non-exhaust emissions and the need for legislation and abatement strategies to reduce their contributions to ambient PM concentrations.

  20. Seasonal variations and source profile of n-alkanes in particulate matter (PM10) at a heavy traffic site, Delhi.

    Science.gov (United States)

    Gupta, Sarika; Gadi, Ranu; Mandal, T K; Sharma, S K

    2017-01-01

    Delhi is one of the most polluted cities in the world. The generation of aerosols in the lower atmosphere of the city is mainly due to a large amount of natural dust advection and sizable anthropogenic activities. The compositions of organic compounds in aerosols are highly variable in this region and need to be investigated thoroughly. Twenty-four-hour sampling to assess concentrations of n-alkanes (ng/m(3)) in PM10 was carried out during January 2015 to June 2015 at Indira Gandhi Delhi Technical University for Women (IGDTUW) Campus, Delhi, India. The total average concentration of n-alkanes, 243.7 ± 5.5 ng/m(3), along with the diagnostic tools has been calculated. The values of CPI1, CPI2, and CPI3 for the whole range of n-alkanes series, petrogenic n-alkanes, and biogenic n-alkanes were 1.00, 1.02, and 1.04, respectively, and C max were at C25 and C27. Diagnostic indices and curves indicated that the dominant inputs of n-alkanes are from petrogenic emissions, with lower contribution from biogenic emissions. Significant seasonal variations were observed in average concentrations of n-alkanes, which is comparatively higher in winter (187.4 ± 4.3 ng/m(3)) than during the summer season (56.3 ± 1.1 ng/m(3)).

  1. Mapping the annual exceedance frequencies of the PM10 air quality standard - Comparing kriging to a generalized linear spatial model

    CSIR Research Space (South Africa)

    Khuluse, S

    2013-11-01

    Full Text Available compare ordinary and regression kriging models to the Poisson log-linear spatial model (Diggle et al. 1998, Diggle et al. 2007) with and without covariate information in mapping annual average exceedance frequencies of the South African PM10 air quality...

  2. Source Apportionment of Particulate Matter (PM10 In an Integrated Coal Mining Complex of Jharia Coalfield, Eastern India, A Review.

    Directory of Open Access Journals (Sweden)

    Debananda Roy

    2014-04-01

    Full Text Available Coal based thermal power generation accounts for 44.7% of the world's electricity and coal alone provides about 80% of the total energy demand in India. Energy-intensive industries deteriorate the air quality of the residential areas due to release of different pollutants, especially a range of deleterious heavy metals like Hg, Cd, Cu, Pb, and Cr. Near about 53.3 percent of the coal produced every year in India has been used for thermal generation. Jharia Coalfield (JCF is major contributor of coking coal in India. JCF receives particulate matter from various sources such as, opencast coal mining and its associated activities, thermal power stations, automobiles, generator sets fuel burning, construction activities, domestic coal, cooking gas burning, etc. and even the background contribution of natural dust (crustal origin can not be ruled out, particularly, in the zones having loose topsoil. Concentration of particulate matter causes harmful impacts to the society. These multiple sources are contributing to particulates pollution in the study area.

  3. Metallurgical source-contribution analysis of PM10 annual average concentration: A dispersion modeling approach in moravian-silesian region

    Directory of Open Access Journals (Sweden)

    P. Jančík

    2013-10-01

    Full Text Available The goal of the article is to present analysis of metallurgical industry contribution to annual average PM10 concentrations in Moravian-Silesian based on means of the air pollution modelling in accord with the Czech reference methodology SYMOS´97.

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

    Science.gov (United States)

    Fortelli, Alberto; Scafetta, Nicola; Mazzarella, Adriano

    2016-10-01

    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°C/200 m and (c) it did not significantly rain for at least 7 days. Beside these meteorological conditions, severe pollution crises occurred also during festivals when fireworks and bonfires are lighted, and during anomalous breeze conditions and severe fire accidents. Finally, we propose a basic model to predict PM10 concentration levels from local meteorological conditions that can be easily forecast a few days in advance. The synthetic PM10 record predicted by the model was found to correlate with the PM10 observations with a correlation coefficient close to 0.80 with a confidence level greater than 99%. The proposed model is expected to provide reliable information to city officials to carry out practical strategies to mitigate air pollution effects. Although the proposed model equation is calibrated on the topographical and meteorological conditions of Naples, it should be easily adaptable to alternative locations.

  5. 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 diameterland use regression (LUR) approach to deal with temporal changes in air pollution and the influence of transboundary air pollution on short-term variations in PM10. 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

  6. 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

  7. Impact assessment of PM10 cement plants emissions on urban air quality using the SCIPUFF dispersion model.

    Science.gov (United States)

    Leone, Vincenzo; Cervone, Guido; Iovino, Pasquale

    2016-09-01

    The Second-order Closure Integrated Puff (SCIPUFF) model was used to study the impact on urban air quality caused by two cement plants emissions located near the city of Caserta, Italy, during the entire year of 2015. The simulated and observed PM10 concentrations were compared using three monitoring stations located in urban and sub-urban area of Caserta city. Both simulated and observed concentrations are shown to be highest in winter, lower in autumn and spring and lowest in summer. Model results generally follow the pattern of the observed concentrations but have a systematic under-prediction of the concentration values. Measures of the bias, NMSE and RMSE indicate a good correlation between observed and estimated values. The SCIPUFF model data analysis suggest that the cement plants are major sources for the measured PM10 values and are responsible for the deterioration of the urban air quality in the city of Caserta.

  8. Sensitivity of meteorological input and soil properties in simulating aerosols (dust, PM10, and BC) using CHIMERE chemistry transport model

    Indian Academy of Sciences (India)

    Nishi Srivastava; S K Satheesh; Nadège Blond

    2014-08-01

    The objective of this study is to evaluate the ability of a European chemistry transport model, ‘CHIMERE’ driven by the US meteorological model MM5, in simulating aerosol concentrations [dust, PM10 and black carbon (BC)] over the Indian region. An evaluation of a meteorological event (dust storm); impact of change in soil-related parameters and meteorological input grid resolution on these aerosol concentrations has been performed. Dust storm simulation over Indo-Gangetic basin indicates ability of the model to capture dust storm events. Measured (AERONET data) and simulated parameters such as aerosol optical depth (AOD) and Angstrom exponent are used to evaluate the performance of the model to capture the dust storm event. A sensitivity study is performed to investigate the impact of change in soil characteristics (thickness of the soil layer in contact with air, volumetric water, and air content of the soil) and meteorological input grid resolution on the aerosol (dust, PM10, BC) distribution. Results show that soil parameters and meteorological input grid resolution have an important impact on spatial distribution of aerosol (dust, PM10, BC) concentrations.

  9. Short-term exposure to ambient fine particulate matter (PM2,5 and PM10) and the risk of heart rhythm abnormalities and stroke.

    Science.gov (United States)

    Kowalska, Małgorzata; Kocot, Krzysztof

    2016-09-28

    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 are necessary.

  10. 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).

  11. Neural network model for the prediction of PM10 daily concentrations in two sites in the Western Mediterranean.

    Science.gov (United States)

    de Gennaro, Gianluigi; Trizio, Livia; Di Gilio, Alessia; Pey, Jorge; Pérez, Noemi; Cusack, Michael; Alastuey, Andrés; Querol, Xavier

    2013-10-01

    An artificial neural network (ANN) was developed and tested to forecast PM10 daily concentration in two contrasted environments in NE Spain, a regional background site (Montseny), and an urban background site (Barcelona-CSIC), which was highly influenced by vehicular emissions. In order to predict 24-h average PM10 concentrations, the artificial neural network previously developed by Caselli et al. (2009) was improved by using hourly PM concentrations and deterministic factors such as a Saharan dust alert. In particular, the model input data for prediction were the hourly PM10 concentrations 1-day in advance, local meteorological data and information about air masses origin. The forecasted performance indexes for both sites were calculated and they showed better results for the regional background site in Montseny (R(2)=0.86, SI=0.75) than for urban site in Barcelona (R(2)=0.73, SI=0.58), influenced by local and sometimes unexpected sources. Moreover, a sensitivity analysis conducted to understand the importance of the different variables included among the input data, showed that local meteorology and air masses origin are key factors in the model forecasts. This result explains the reason for the improvement of ANN's forecasting performance at the Montseny site with respect to the Barcelona site. Moreover, the artificial neural network developed in this work could prove useful to predict PM10 concentrations, especially, at regional background sites such as those on the Mediterranean Basin which are primarily affected by long-range transports. Hence, the artificial neural network presented here could be a powerful tool for obtaining real time information on air quality status and could aid stakeholders in their development of cost-effective control strategies.

  12. Caracterización de Partículas Suspendidas (PST y Partículas Respirables (PM 10 producidas en Áreas de Explotación Carbonífera a Cielo Abierto Characterization of Total Suspended Particles (TSP and Inhalable Particulate Matter (PM 10 generated in Open Pit Coal Mining Areas

    Directory of Open Access Journals (Sweden)

    Luis C Angulo

    2011-01-01

    Full Text Available Se presenta una revisión de la literatura sobre la cuantificación y caracterización de partículas suspendidas (PST y partículas respirables (PM10 producidas en áreas de explotación carbonífera a cielo abierto. El material particulado es un contaminante complejo por sus características físicas (distribución de tamaño de partícula, morfología y densidad y por sus características químicas (compuestos orgánicos e inorgánicos, metales y contaminantes primarios y secundarios. Estas características son críticas para determinar el tipo y magnitud de los efectos sobre la salud humana. Se encontró que los trabajos realizados, han empleado experimentos de laboratorio y de campo, así como estudios de modelación. Esta revisión bibliográfica contribuye a una mejor comprensión y evaluación de las tecnologías que se deben usar para encontrar soluciones a este problema de contaminación.This article presents a literature review about the quantification and characterization of total suspended particles (TSP and inhalable particulate matter (PM 10 generated in open pit coal mining areas. Particle matter is a complex pollutant due to its physical characteristics (particle size distribution, morphology and density and its chemical characteristics (organic and inorganic components, metals, and primary and secondary pollutants. These characteristics are critical to determine the type and the magnitude of their effects on human health. It was found that the different works published in the literature have used lab and field experiments, and also modeling studies. This literature review contributes to improve the understanding and evaluation of technologies that must be used to find solutions to this atmospheric pollution problem.

  13. Source Apportionment of Ambient PM10 in the Urban Area of Longyan City, China: a Comparative Study Based on Chemical Mass Balance Model and Factor Analysis Method

    Institute of Scientific and Technical Information of China (English)

    QIU Li-min; LIU Miao; WANG Ju; ZHANG Sheng-nan; FANG Chun-sheng

    2012-01-01

    In order to identify the day and night pollution sources of PM10 in ambient air in Longyan City,the authors analyzed the elemental composition of respirable particulate matters in the day and night ambient air samples and various pollution sources which were collected in January 2010 in Longyan with inductivity coupled plasma-mass spectrometry(ICP-MS).Then chemical mass balance(CMB)model and factor analysis(FA)method were applied to comparatively study the inorganic components in the sources and receptor samples.The results of factor analysis show that the major sources were road dust,waste incineration and mixed sources which contained automobile exhaust,soil dust/secondary dust and coal dust during the daytime in Longyan City,China.There are two major sources of pollution which are soil dust and mixture sources of automobile exhaust and secondary dust during the night in Longyan.The results of CMB show that the major sources are secondary dust,automobile exhaust and road dust during the daytime in Longyan.The major sources are secondary dust,soil dust and automobile exhaust during the night in Longyan.The results of the two methods are similar to each other and the results will guide us to plan to control the PM10 pollution sources in Longyan.

  14. 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...

  15. AQA - Air Quality model for Austria: comparison of ALADIN and ALARO forecasts with observed meteorological profiles and PM10 predictions with CAMx

    Science.gov (United States)

    Hirtl, M.; Krüger, B. C.; Kaiser, A.

    2009-09-01

    In AQA, Air Quality model for Austria, the regional weather forecast model ALADIN-Austria of the Central Institute for Meteorology and Geodynamics (ZAMG) is used in combination with the chemical transport model CAMx (www.camx.com) to conduct forecasts of gaseous and particulate air pollutants over Austria. The forecasts which are done in cooperation with the University of Natural Resources and Applied Life Sciences in Vienna (BOKU) are supported by the regional governments since 2005. In the current model version AQA uses the operational meteorological forecasts conducted with ALADIN which has a horizontal resolution of 9.7 km. Since 2008 the higher resolved ALARO is also available at the ZAMG. It has a horizontal resolution of 4.9 km and models the PBL with more vertical layers than ALADIN. ALARO also uses more complex algorithms to calculate precipitation, radiation and TKE. Another advantage of ALARO concerning the chemical modelling with CAMx is that additionally to the higher resolved meteorological forecasts it is possible to use finer emission inventories which are available for Austria. From 2006 to 2007 a SODAR-RASS of the ZAMG was operated in the north-eastern Austrian flat lands (Kittsee). In this study the measured vertical profiles of wind and temperature are compared with the model predictions. The evaluation is conducted for an episode in January 2007 when high PM10 concentrations were measured at the air quality station Kittsee. Analysis of the RASS-temperature-profiles show that during this episode a strong nocturnal inversion developed at the investigated area. The ability of the models ALADIN and ALARO to predict this complex meteorological condition is investigated. Both models are also used as meteorological driver for the chemical dispersion model CAMx and the results of predicted PM10 concentrations are compared to air quality measurements.

  16. Dimension and Concentration of Inhalable Particulates (PM10)during Straw Crushing in a Jiangsu Power Station%秸秆碎料制备作业场所可吸入颗粒物的评估

    Institute of Scientific and Technical Information of China (English)

    杨敏杰; 丁涛; 黄山; 周捍东; 张英俊; 周曦禾

    2012-01-01

    Workshop air pollution is one of the most visible environmental problems in China. Inhalable particulates, in particular, have recently drawn more attention due to the pronounced influence on air quality and human health. In this study, the concentration and distribution of total suspended particulates (TSP)were investigated during the straw crushing process. The result showed that the concentration of inhalable particulates, with diameter less than 10 μm (PM10), was much higher than the requirement specified by the national standards, and the proportion of particulates with diameter less than 2. 5 μm (PM2.5) reached 0. 01%.%针对发电厂的稻草碎料备料工段,通过筛分法测定了物科颗粒的粒径和分布,同时测定了作业场所空气中PM10的浓度,及其中PM2.5所占的比例.结果显示:作业场所空气中的PM10浓度远高于国家标准的规定值,且其中PM2.5所占的比例达0.01%.建议在作业场所设置合理的除尘装置.

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

    Directory of Open Access Journals (Sweden)

    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.

  18. Retrospective Geospatial Modeling of PM10 Exposures from Open Burning at Joint Base Balad, Iraq

    Science.gov (United States)

    2011-03-01

    with a combination of AERMOD, to model short-range dispersion, and HYSPLIT, to model long-range dispersion and deposition ( Schaum , et al., 2010). In...October 20, 2010, from Sage Management Web Site: http://www.sage-mgt.net/services/modeling-and- simulation/scipuff-dispersion-model Schaum , J., Cohen, M

  19. Congener specific distribution of polychlorinated dibenzo-p-dioxins and dibenzo-p-furans in ambient air particulates (less than PM10 in Delhi, India

    Directory of Open Access Journals (Sweden)

    Bhupander Kumar

    2012-08-01

    Full Text Available Polychlorinated dibenzo-p-dioxins (PCDDs and polychlorinated dibenzo-p-furans (PCDFs are unintentionally formed during inefficient combustions and as a by-product. Due to their resistance to degradation and their toxic effect on health, PCDD/Fs are listed by the Stockholm Convention as persistent organic pollutants (POPs. Once released into the atmosphere, most of them are adsorbed to air particles and transported away from sources in atmosphere. India signed the Stockholm Convention India agreeing thereby to reduce and eliminate the use of POPs. The German agency for Technical Cooperation helped develop facilities for monitoring POPs at a national level in Delhi. This paper presents the data generated during a training assignment for Central Pollution Control Board officials at the German laboratory. Air borne particulate matter (<PM10 was collected from 6 different locations in Delhi, India and analyzed in a German laboratory for 17 congeners of PCDD/Fs. The concentrations of ΣPCDD/Fs ranged between 1720-9010 fg m-3 (mean 5559 fg m-3 and their toxic equivalency values ranged from 67 to 460 fg I-toxic equivalent quantities (TEQ m-3, with an average of 239 fg I-TEQ m-3 which was lower than the ambient air standards. The dominant congeners were octachlorinated dibenzo-p-dioxin (OCDD, octachlorinated dibenzo-p-furans (OCDF, 1,2,3,4,6,7,8-heptachlorinated dibenzo- p-furans, and 1,2,3,4,6,7,8-heptachlorinated dibenzo-p-dioxin. The contributions of individual homologs for ΣPCDDs/Fs I-TEQ was in the order of OCDD (31%>HCDF (21%>hexachlorodibenzofurans (13%=OCDF (13%> HCDF (12% and other individual congeners contribute less than 5%. High chlorinated congeners contributed with more than 80% for ΣPCDD/Fs I-TEQ. Rough estimates of tolerable daily intake (TDI shows low health risk of exposure to ΣPCDD/Fs with inhalation of 0.098 pg I-TEQ kg1day1 for adult and 0.152 pg TEQ kg-1day-1 for children, which is much lower than World Health Organization

  20. 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.

  1. 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.

  2. An inter-comparison of PM10 source apportionment using PCA and PMF receptor models in three European sites.

    Science.gov (United States)

    Cesari, Daniela; Amato, F; Pandolfi, M; Alastuey, A; Querol, X; Contini, D

    2016-08-01

    Source apportionment of aerosol is an important approach to investigate aerosol formation and transformation processes as well as to assess appropriate mitigation strategies and to investigate causes of non-compliance with air quality standards (Directive 2008/50/CE). Receptor models (RMs) based on chemical composition of aerosol measured at specific sites are a useful, and widely used, tool to perform source apportionment. However, an analysis of available studies in the scientific literature reveals heterogeneities in the approaches used, in terms of "working variables" such as the number of samples in the dataset and the number of chemical species used as well as in the modeling tools used. In this work, an inter-comparison of PM10 source apportionment results obtained at three European measurement sites is presented, using two receptor models: principal component analysis coupled with multi-linear regression analysis (PCA-MLRA) and positive matrix factorization (PMF). The inter-comparison focuses on source identification, quantification of source contribution to PM10, robustness of the results, and how these are influenced by the number of chemical species available in the datasets. Results show very similar component/factor profiles identified by PCA and PMF, with some discrepancies in the number of factors. The PMF model appears to be more suitable to separate secondary sulfate and secondary nitrate with respect to PCA at least in the datasets analyzed. Further, some difficulties have been observed with PCA in separating industrial and heavy oil combustion contributions. Commonly at all sites, the crustal contributions found with PCA were larger than those found with PMF, and the secondary inorganic aerosol contributions found by PCA were lower than those found by PMF. Site-dependent differences were also observed for traffic and marine contributions. The inter-comparison of source apportionment performed on complete datasets (using the full range of

  3. Application of PMF and CMB receptor models for the evaluation of the contribution of a large coal-fired power plant to PM10 concentrations.

    Science.gov (United States)

    Contini, Daniele; Cesari, Daniela; Conte, Marianna; Donateo, Antonio

    2016-08-01

    The evaluation of the contribution of coal-fired thermo-electrical power plants to particulate matter (PM) is important for environmental management, for evaluation of health risks, and for its potential influence on climate. The application of receptor models, based on chemical composition of PM, is not straightforward because the chemical profile of this source is loaded with Si and Al and it is collinear with the profile of crustal particles. In this work, a new methodology, based on Positive Matrix Factorization (PMF) receptor model and Si/Al diagnostic ratio, specifically developed to discriminate the coal-fired power plant contribution from the crustal contribution is discussed. The methodology was applied to daily PM10 samples collected in central Italy in proximity of a large coal-fired power plant. Samples were simultaneously collected at three sites between 2.8 and 5.8km from the power plant: an urban site, an urban background site, and a rural site. Chemical characterization included OC/EC concentrations, by thermo-optical method, ions concentrations (NH4(+), Ca(2+), Mg(2+), Na(+), K(+), Mg(2+), SO4(2-), NO3(-), Cl(-)), by high performances ion chromatography, and metals concentrations (Si, Al, Ti, V, Mn, Fe, Ni, Cu, Zn, Br), by Energy dispersive X-ray Fluorescence (ED-XRF). Results showed an average primary contribution of the power plant of 2% (±1%) in the area studied, with limited differences between the sites. Robustness of the methodology was tested inter-comparing the results with two independent evaluations: the first obtained using the Chemical Mass Balance (CMB) receptor model and the second correlating the Si-Al factor/source contribution of PMF with wind directions and Calpuff/Calmet dispersion model results. The contribution of the power plant to secondary ammonium sulphate was investigated using an approach that integrates dispersion model results and the receptor models (PMF and CMB), a sulphate contribution of 1.5% of PM10 (±0.3%) as

  4. Simulating the meteorology and PM10 concentrations 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 PM10 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 ([PM10]).Furthermore, the model under-estimated [PM10] 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 [PM10] 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 [PM10] highly rely on meteorological forcing. Increasing the fraction of erodible surfaces in the Pinal County agricultural areas improved the simulation of [PM10] in that region. Both 24-hr and 1-hr measured [PM10] 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 [PM10], 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 observations, additional

  5. Assessment of the Halogen Content of Brazilian Inhalable Particulate Matter (PM10) Using High Resolution Molecular Absorption Spectrometry and Electrothermal Vaporization Inductively Coupled Plasma Mass Spectrometry, with Direct Solid Sample Analysis.

    Science.gov (United States)

    de Gois, Jefferson S; Almeida, Tarcisio S; Alves, Jeferson C; Araujo, Rennan G O; Borges, Daniel L G

    2016-03-15

    Halogens in the atmosphere play an important role in climate change and also represent a potential health hazard. However, quantification of halogens is not a trivial task, and methods that require minimum sample preparation are interesting alternatives. Hence, the aim of this work was to evaluate the feasibility of direct solid sample analysis using high-resolution continuum source molecular absorption spectrometry (HR-CS MAS) for F determination and electrothermal vaporization-inductively coupled plasma mass spectrometry (ETV-ICP-MS) for simultaneous Cl, Br, and I determination in airborne inhalable particulate matter (PM10) collected in the metropolitan area of Aracaju, Sergipe, Brazil. Analysis using HR-CS MAS was accomplished by monitoring the CaF molecule, which was generated at high temperatures in the graphite furnace after the addition of Ca. Analysis using ETV-ICP-MS was carried out using Ca as chemical modifier/aerosol carrier in order to avoid losses of Cl, Br, and I during the pyrolysis step, with concomitant use of Pd as a permanent modifier. The direct analysis approach resulted in LODs that were proven adequate for halogen determination in PM10, using either standard addition calibration or calibration against a certified reference material. The method allowed the quantification of the halogens in 14 PM10 samples collected in a northeastern coastal city in Brazil. The results demonstrated variations of halogen content according to meteorological conditions, particularly related to rainfall, humidity, and sunlight irradiation.

  6. Modelling 10-year trends of PM10 and related toxic heavy metal concentrations in four cities in India.

    Science.gov (United States)

    Gupta, Indrani; Salunkhe, Abhaysinh; Kumar, Rakesh

    2010-07-15

    Ambient concentrations of PM(10) were measured weekly twice at 3 sites in Delhi, Mumbai, Kolkata and Chennai during 1998-2007. Concentrations of heavy metals Cd, Zn, Ni, Fe, Pb and Cr have been analyzed once in every month. Trend analyses of PM(10) and heavy metals of four mega cities, indicate that PM(10) and heavy metals show decreasing trend. The statistical tests applied for this purpose i.e., t-test adjusted for seasonality and SK test, provide similar conclusions. The inferences obtained are that at two sites in Mumbai, PM(10) levels have shown improvement at the rate of 2 and 3 microg m(-3) yr(-1); in Chennai, PM(10) levels have decreased at the rate of 2.5, 2 and 5 microg m(-3) yr(-1) during the period 1998-2007. In Delhi, Ni, Fe and Pb levels declined at the rate of 1, 29 and 12 ng m(-3) yr(-1); in Mumbai Zn, Ni, Fe and Cr have decreased at the rate of 51, 2, 62 and 0.7 ng m(-3) yr(-1); in Kolkata, the levels of Ni, Pb and Cr declined at the rate of 2, 11 and 1 ng m(-3) yr(-1); and in Chennai Ni, Fe and Cr have shown improvement at the rate of 1, 38 and 1 ng m(-3) yr(-1) in this period. During the last 10 years, many interventions have been undertaken such as, changes in fuel quality, better vehicle technologies, improved industrial fuel mix, shifting of industries outside the city limits, resulting in improvement of urban air quality.

  7. To what extent can aerosol water explain the discrepancy between model calculated and gravimetric PM10 and PM2.5?

    Science.gov (United States)

    Tsyro, S. G.

    2005-02-01

    Inter-comparisons of European air quality models show that regional transport models, including the EMEP (Co-operative Programme for monitoring and evaluation of the long-range transmission of air pollutants in Europe) aerosol model, tend to underestimate the observed concentrations of PM10 and PM2.5. Obviously, an accurate representation of the individual aerosol constituents is a prerequisite for adequate calculation of PM concentrations. On the other hand, available measurements on the chemical characterization of ambient particles reveal that full chemical PM mass closure is rarely achieved. The fraction unaccounted for by chemical analysis can comprise as much as 30-40% of gravimetric PM10 or PM2.5 mass. The unaccounted PM mass can partly be due to non-C atoms in organic aerosols and/or due to sampling and measurement artefacts. Moreover, a part of the unaccounted PM mass is likely to consist of water associated with particles. Thus, the gravimetrically measured particle mass does not necessarily represent dry PM10 and PM2.5 mass. This is thought to be one of the reasons for models under-prediction of observed PM, if calculated dry PM10 and PM2.5 concentrations are compared with measurements. The EMEP aerosol model has been used to study to what extent particle-bound water can explain the chemically unidentified PM mass in filter-based particle samples. Water content of PM2.5 and PM10 has been estimated with the model for temperature 20°C and relative humidity 50%, which are conditions required for equilibration of dust-loaded filters according to the Reference method recommended by the European Committee for Standardization (CEN). Model calculations for Europe show that, depending on particle composition, particle-bound water constitutes 20-35% of the annual mean PM10 and PM2.5 concentrations, which is consistent with existing experimental estimates. At two Austrian sites, in Vienna and Streithofen, where daily measurements of PM2.5 mass and chemical

  8. To what extent can aerosol water explain the discrepancy between model calculated and gravimetric PM10 and PM2.5?

    Directory of Open Access Journals (Sweden)

    S. G. Tsyro

    2004-09-01

    Full Text Available Inter-comparisons of European air quality models show that regional transport models, including the EMEP (Co-operative Programme for monitoring and evaluation of the long-range transmission of air pollutants in Europe aerosol model, tend to underestimate the observed concentrations of PM10 and PM2.5. Obviously, an accurate representation of the individual aerosol constituents is a prerequisite for adequate calculation of PM concentrations. On the other hand, available measurements on the chemical characterization of ambient particles reveal that full chemical PM mass closure is rarely achieved. The fraction unaccounted for by chemical analysis can comprise as much as 30–40% of gravimetric PM10 or PM2.5 mass. The unaccounted PM mass can partly be due to non-C atoms in organic aerosols and/or due to sampling and measurement artefacts. Moreover, a part of the unaccounted PM mass is likely to consist of water associated with particles. Thus, the gravimetrically measured particle mass does not necessarily represent dry PM10 and PM2.5 mass. This is thought to be one of the reasons for models under-prediction of observed PM, if calculated dry PM10 and PM2.5 concentrations are compared with measurements. The EMEP aerosol model has been used to study to what extent particle-bound water can explain the chemically unidentified PM mass in filter-based particle samples. Water content of PM2.5 and PM10 has been estimated with the model for temperature 20°C and relative humidity 50%, which are conditions required for equilibration of dust-loaded filters according to the Reference method recommended by the European Committee for Standardization (CEN. Model calculations for Europe show that, depending on particle composition, particle-bound water constitutes 20–35% of the annual mean PM10 and PM2.5 concentrations, which is consistent with existing experimental estimates. At two Austrian sites, in Vienna and Streithofen, where daily measurements of PM2

  9. To what extent can aerosol water explain the discrepancy between model calculated and gravimetric PM10 and PM2.5?

    Directory of Open Access Journals (Sweden)

    S. G. Tsyro

    2005-01-01

    Full Text Available Inter-comparisons of European air quality models show that regional transport models, including the EMEP (Co-operative Programme for monitoring and evaluation of the long-range transmission of air pollutants in Europe aerosol model, tend to underestimate the observed concentrations of PM10 and PM2.5. Obviously, an accurate representation of the individual aerosol constituents is a prerequisite for adequate calculation of PM concentrations. On the other hand, available measurements on the chemical characterization of ambient particles reveal that full chemical PM mass closure is rarely achieved. The fraction unaccounted for by chemical analysis can comprise as much as 30-40% of gravimetric PM10 or PM2.5 mass. The unaccounted PM mass can partly be due to non-C atoms in organic aerosols and/or due to sampling and measurement artefacts. Moreover, a part of the unaccounted PM mass is likely to consist of water associated with particles. Thus, the gravimetrically measured particle mass does not necessarily represent dry PM10 and PM2.5 mass. This is thought to be one of the reasons for models under-prediction of observed PM, if calculated dry PM10 and PM2.5 concentrations are compared with measurements. The EMEP aerosol model has been used to study to what extent particle-bound water can explain the chemically unidentified PM mass in filter-based particle samples. Water content of PM2.5 and PM10 has been estimated with the model for temperature 20°C and relative humidity 50%, which are conditions required for equilibration of dust-loaded filters according to the Reference method recommended by the European Committee for Standardization (CEN. Model calculations for Europe show that, depending on particle composition, particle-bound water constitutes 20-35% of the annual mean PM10 and PM2.5 concentrations, which is consistent with existing experimental estimates. At two Austrian sites, in Vienna and Streithofen, where daily measurements of PM2.5 mass

  10. 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

    2013-06-01

    Full Text Available A source-oriented representation of airborne particulate matter was added to the Weather Research & Forecasting (WRF model with chemistry (WRF/Chem. The source-oriented aerosol separately tracks primary particles with different hygroscopic properties rather than instantaneously combining them into an internal mixture. The source-oriented 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. The source-oriented WRF/Chem model more accurately 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 during the California Regional PM10/PM2.5 Air Quality Study (CRPAQS was chosen for the initial application of the new modeling system. Emissions were obtained from the California Air Resources Board. Gas-phase reactions were modeled with the SAPRC90 photochemical mechanism. Gas-particle conversion was modeled as a dynamic process with semi-volatile vapor pressures at the particle surface calculated using ISORROPIA. Source oriented calculations were performed for 8 particle size fractions ranging from 0.01–10 μm particle diameters with a spatial resolution of 4 km and hourly time resolution. 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. Results show that the source-oriented representation of particles with meteorological feedbacks in WRF/Chem changes the aerosol extinction coefficients, downward shortwave

  11. The exposure assessment of airborne particulates matter (PM10 & PM2.5) towards building occupants: A case study at KL Sentral, Kuala Lumpur, Malaysia

    Science.gov (United States)

    Mohddin, S. A.; Aminuddin, N. M.

    2014-02-01

    Airborne particulates have been recognized as a crucial pollutant of indoor air. These pollutants can contribute towards poor indoor air quality (IAQ), which may affect human health in immediate or long term. This study aims to determine the level of IAQ and the effects of particulate towards occupants of office buildings (the office buildings selected for the case study are SSM, KTMB and MRCB at KL Sentral). The objectives of study are (i) to measure the level of airborne particulates that contribute to the IAQ during working hours, (ii) to compare the level of airborne particulates with the existing guidelines and standards of IAQ in Malaysia and other Asian countries and (iii) to assess the symptoms associated with airborne particulates among the building occupants, which were achieved through primary data collection (case study or site survey, structured interview and questionnaire survey) and supported by literature reviews. The results showed that the mass concentration level of airborne particulates within the areas has exceeded the allowable limit of 0.15mg/m3 by IAQ Code of Practice, 2005 of the Department of Safety and Health (DOSH), Malaysia and 0.05mg/m3 by the Department of Environmental (DOE) (outdoor) of 8 hours continuous sampling. Based on the findings, the highest mass concentration values measured is 2.581 mg/m3 at lobby of SSM building which is the highest recorded 17 times higher from the maximum limit recommended by DOSH than the others. This is due to the nearby construction works and the high numbers of particulates are generated from various types of vehicles for transportation surrounding KL Sentral. Therefore, the development of Malaysian Ambient Air Quality Guidelines on PM2.5 as one of the crucial parameters is highly recommended.

  12. Source apportionment of indoor PM10 in Elderly Care Centre.

    Science.gov (United States)

    Almeida-Silva, M; Faria, T; Saraga, D; Maggos, T; Wolterbeek, H T; Almeida, S M

    2016-04-01

    Source contribution to atmospheric particulate matter (PM) has been exhaustively modelled. However, people spend most of their time indoors where this approach is less explored. This evidence worsens considering elders living in Elderly Care Centres, since they are more susceptible. The present study aims to investigate the PM composition and sources influencing elderly exposure. Two 2-week sampling campaigns were conducted-one during early fall (warm phase) and another throughout the winter (cold phase). PM10 were collected with two TCR-Tecora(®) samplers that were located in an Elderly Care Centre living room and in the correspondent outdoor. Chemical analysis of the particles was performed by neutron activation analysis for element characterization, by ion chromatography for the determination of water soluble ions and by a thermal optical technique for the measurement of organic and elemental carbon. Statistical analysis showed that there were no statistical differences between seasons and environments. The sum of the indoor PM10 components measured in this work explained 57 and 53 % of the total PM10 mass measured by gravimetry in warm and cold campaigns, respectively. Outdoor PM10 concentrations were significantly higher during the day than night (p value < 0.05), as well as Ca(2+), Fe, Sb and Zn. The contribution of indoor and outdoor sources was assessed by principal component analysis and showed the importance of the highways and the airport located less than 500 m from the Elderly Care Centre for both indoor and outdoor air quality.

  13. PM10 source measurement methodology: Field studies

    Energy Technology Data Exchange (ETDEWEB)

    Farthing, W.E.; Martin, R.S.; Dawes, S.S.; Williamson, A.D.

    1989-05-01

    Two candidate measurement methods, Constant Sampling Rate (CSR) and Exhaust Gas Recycle (EGR), have been developed to measure emissions of in-stack PM-10 particulate matter with aerodynamic diameter less than 10 micrometers. Two field tests were performed at the clinker cooler exhaust of a Portland cement plant to quantify precision and comparability of these techniques. In addition, accuracy was determined for total particulate measurement by comparison to Method 17. Collocated sampling trains were operated parallel with two Method 17 trains. In the second test, two CSR and one EGR trains were operated parallel to two Method 17 trains. The operating procedures used for the CSR and EGR trains are described in detail. In measurement of PM-10 and total particulate matter, the precision of both the CSR and EGR techniques was found to be of the same magnitude as Method 17 (approximately 5%). A small bias was found between CSR and EGR PM-10 results (15%) and between EGR and Method 17 total particulate matter (10%). Although small, these observed differences, combined with the results of laboratory studies reported elsewhere, led to a recommendation for an increase in the length of sampling nozzles. This modification improved cyclone performance and is incorporated into the nozzle geometries described in the application guides for CSR and EGR.

  14. Seasonal variation and source apportionment of organic and inorganic compounds in PM2.5 and PM10 particulates in Beijing, China

    Institute of Scientific and Technical Information of China (English)

    Xingru Li; Yuesi Wang; Xueqing Guo; Yingfeng Wang

    2013-01-01

    The distribution and source of the solvent-extractable organic and inorganic components in PM2.5 (aerodynamics equivalent diameter below 2.5 microns),and PM10 (aerodynamics equivalent diameter below 10 microns) fractions of airborne particles were studied weekly from September 2006 to August 2007 in Beijing.The extracted organic and inorganic compounds identified in both particle size ranges consisted of n-alkanes,PAHs (polycyclic aromatic hydrocarbons),fatty acids and water soluble ions.The potential emission sources of these organic compounds were reconciled by combining the values of n-alkane carbon preference index (CPI),%waxCn,selected diagnostic ratios of PAHs and principal component analysis in both size ranges.The mean cumulative concentrations of n-alkanes reached 1128.65 ng/m3 in Beijing,74% of which (i.e.,831.7 ng/m3) was in the PM2.5 fraction,PAHs reached 136.45 ng/m3 (113.44 ng/m3 or 83% in PM2.5),and fatty acids reached 436.99 ng/m3 (324.41 ng/m3 or 74% in PM2.5),which resulted in overall enrichment in the fine particles.The average concentrations of SO42-,NO3-,and NH4+ were 21.3 ± 15.2,6.1 ± 1.8,12.5 ± 6.1 μg/m3 in PM2.5,and 25.8 ± 15.5,8.9 ± 2.6,16.9 ± 9.5 μg/m3 in PM10,respectively.These three secondary ions primarily existed as ammonium sulfate ((NH4)2SO4),ammonium bisulfate (NH4HSO4) and ammonium nitrate (NH4NO3).The characteristic ratios of PAHs revealed that the primary sources of PAHs were coal combustion,followed by gasoline combustion.The ratios of stearic/palmitic acid indicated the major contribution of vehicle emissions to fatty acids in airborne particles.The major alkane sources were biogenic sources and fossil fuel combustion.The major sources of PAHs were vehicular emission and coal combustion.

  15. Seasonal variation and source apportionment of organic and inorganic compounds in PM2.5 and PM10 particulates in Beijing, China.

    Science.gov (United States)

    Li, Xingru; Wang, Yuesi; Guo, Xueqing; Wang, Yingfeng

    2013-04-01

    The distribution and source of the solvent-extractable organic and inorganic components in PM2.5 (aerodynamics equivalent diameter below 2.5 microns), and PM10 (aerodynamics equivalent diameter below 10 microns) fractions of airborne particles were studied weekly from September 2006 to August 2007 in Beijing. The extracted organic and inorganic compounds identified in both particle size ranges consisted of n-alkanes, PAHs (polycyclic aromatic hydrocarbons), fatty acids and water soluble ions. The potential emission sources of these organic compounds were reconciled by combining the values of n-alkane carbon preference index (CPI), %waxC(n), selected diagnostic ratios of PAHs and principal component analysis in both size ranges. The mean cumulative concentrations of n-alkanes reached 1128.65 ng/m3 in Beijing, 74% of which (i.e., 831.7 ng/m3) was in the PM2.5 fraction, PAHs reached 136.45 ng/m3 (113.44 ng/m3 or 83% in PM2.5), and fatty acids reached 436.99 ng/m3 (324.41 ng/m3 or 74% in PM2.5), which resulted in overall enrichment in the fine particles. The average concentrations of SO4(2-), NO3(-), and NH4(+) were 21.3 +/- 15.2, 6.1 +/- 1.8, 12.5 +/- 6.1 microg/m3 in PM2.5, and 25.8 +/- 15.5, 8.9 +/- 2.6, 16.9 +/- 9.5 microg/m3 in PM10, respectively. These three secondary ions primarily existed as ammonium sulfate ((NH4)2SO4), ammonium bisulfate (NH4HSO4) and ammonium nitrate (NH4NO3). The characteristic ratios of PAHs revealed that the primary sources of PAHs were coal combustion, followed by gasoline combustion. The ratios of stearic/palmitic acid indicated the major contribution of vehicle emissions to fatty acids in airborne particles. The major alkane sources were biogenic sources and fossil fuel combustion. The major sources of PAHs were vehicular emission and coal combustion.

  16. The Effects of Eucheuma cottonii on Signaling Pathway Inducing Mucin Synthesis in Rat Lungs Chronically Exposed to Particulate Matter 10 (PM10 Coal Dust

    Directory of Open Access Journals (Sweden)

    Nia Kania

    2013-01-01

    Full Text Available This study was aimed at investigating the effects of Eucheuma cottonii (EC in oxidative stress and the signaling for mucin synthesis in rat lungs chronically exposed to coal dust. Coal dust with concomitant oral administration of ethanolic extract of EC at doses of 150 (EC150 or 300 mg/kg BW (EC300 compared to exposed to PM10 coal dust at doses of 6.25 (CD6.25, 12.5 (CD12.5, or 25 mg/m3 (CD25 (an hour daily for 6 months and nonexposure group (control. The malondialdehyde (MDA, epidermal growth factor (EGF, transforming growth factor (TGF-α, epidermal growth factor receptor (EGFR, and MUC5AC levels were determined in the lung. The administration of EC300 significantly (p < 0.05 reduced the MDA levels in groups exposed to all doses of coal dust compared to the respective coal dust-exposed nonsupplemented groups. Although not statistically significant,EC reduced the EGF levels and EGFR expressions in CD12.5 and CD25 groups and decreased the TGF-α, level and MUC5AC expression in CD25 group compared to the respective coal dust-exposed nonsupplemented groups. EC was able to decrease oxidative stress and was also able to decrease signaling for mucin synthesis, at least a part, via reducing the ligand in chronic coal dust exposure.

  17. The Effects of Eucheuma cottonii on Signaling Pathway Inducing Mucin Synthesis in Rat Lungs Chronically Exposed to Particulate Matter 10 (PM10) Coal Dust.

    Science.gov (United States)

    Kania, Nia; Mayangsari, Elly; Setiawan, Bambang; Nugrahenny, Dian; Tony, Frans; Wahyuni, Endang Sri; Widodo, M Aris

    2013-01-01

    This study was aimed at investigating the effects of Eucheuma cottonii (EC) in oxidative stress and the signaling for mucin synthesis in rat lungs chronically exposed to coal dust. Coal dust with concomitant oral administration of ethanolic extract of EC at doses of 150 (EC150) or 300 mg/kg BW (EC300) compared to exposed to PM10 coal dust at doses of 6.25 (CD6.25), 12.5 (CD12.5), or 25 mg/m(3) (CD25) (an hour daily for 6 months) and nonexposure group (control). The malondialdehyde (MDA), epidermal growth factor (EGF), transforming growth factor (TGF)- α , epidermal growth factor receptor (EGFR), and MUC5AC levels were determined in the lung. The administration of EC300 significantly (p < 0.05) reduced the MDA levels in groups exposed to all doses of coal dust compared to the respective coal dust-exposed nonsupplemented groups. Although not statistically significant,EC reduced the EGF levels and EGFR expressions in CD12.5 and CD25 groups and decreased the TGF- α , level and MUC5AC expression in CD25 group compared to the respective coal dust-exposed nonsupplemented groups. EC was able to decrease oxidative stress and was also able to decrease signaling for mucin synthesis, at least a part, via reducing the ligand in chronic coal dust exposure.

  18. 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...

  19. 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

  20. 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.

  1. Comparison of lidar-derived PM10 with regional modeling and ground-based observations in the frame of MEGAPOLI experiment

    Directory of Open Access Journals (Sweden)

    J.-C. Raut

    2011-10-01

    Full Text Available An innovative approach using mobile lidar measurements was implemented to test the performances of chemistry-transport models in simulating mass concentrations (PM10 predicted by chemistry-transport models. A ground-based mobile lidar (GBML was deployed around Paris onboard a van during the MEGAPOLI (Megacities: Emissions, urban, regional and Global Atmospheric POLlution and climate effects, and Integrated tools for assessment and mitigation summer experiment in July 2009. The measurements performed with this Rayleigh-Mie lidar are converted into PM10 profiles using optical-to-mass relationships previously established from in situ measurements performed around Paris for urban and peri-urban aerosols. The method is described here and applied to the 10 measurements days (MD. MD of 1, 15, 16 and 26 July 2009, corresponding to different levels of pollution and atmospheric conditions, are analyzed here in more details. Lidar-derived PM10 are compared with results of simulations from POLYPHEMUS and CHIMERE chemistry-transport models (CTM and with ground-based observations from the AIRPARIF network. GBML-derived and AIRPARIF in situ measurements have been found to be in good agreement with a mean Root Mean Square Error RMSE (and a Mean Absolute Percentage Error MAPE of 7.2 μg m−3 (26.0% and 8.8 μg m−3 (25.2% with relationships assuming peri-urban and urban-type particles, respectively. The comparisons between CTMs and lidar at ~200 m height have shown that CTMs tend to underestimate wet PM10 concentrations as revealed by the mean wet PM10 observed during the 10 MD of 22.4, 20.0 and 17.5 μg m−3 for lidar with peri-urban relationship, and POLYPHEMUS and CHIMERE models, respectively. This leads to a RMSE (and a MAPE of 6.4 μg m−3 (29.6% and 6.4 μg m−3 (27.6% when considering POLYPHEMUS and CHIMERE CTMs, respectively. Wet integrated PM10 computed (between the ground and 1 km above the ground level from lidar, POLYPHEMUS and CHIMERE results

  2. ENSO-related PM10 variability on the Korean Peninsula

    Science.gov (United States)

    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.

  3. Composition, size distribution, optical properties, and radiative effects of laboratory-resuspended PM10 from geological dust of the Rome area, by electron microscopy and radiative transfer modelling

    Science.gov (United States)

    Pietrodangelo, A.; Salzano, R.; Bassani, C.; Pareti, S.; Perrino, C.

    2015-11-01

    In this work, new information has been gained on the laboratory-resuspended PM10 fraction from geological topsoil and outcropped rocks representative of the Rome area (Latium). Mineralogical composition, size distribution, optical properties and the surface radiative forcing efficiency (RFE) of dust types representing the compositional end members of this geological area have been addressed. A multi-disciplinary approach was used, based on chamber resuspension of raw materials and sampling of the PM10 fraction, to simulate field sampling at dust source, scanning electron microscopy/X-ray energy-dispersive microanalysis (SEM XEDS) of individual mineral particles, X-ray diffraction (XRD) analysis of bulk dust samples, building of number and volume size distribution (SD) from microanalysis data of mineral particles and fitting to a log-normal curve, and radiative transfer modelling (RTM) to retrieve optical properties and radiative effects of the compositional end-member dust samples. The mineralogical composition of Rome lithogenic PM10 varies between an end-member dominated by silicate minerals (from volcanics lithotypes), and one mostly composed of calcite (from travertine or limestones). Lithogenic PM10 with intermediate composition derives mainly from siliciclastic rocks or marlstones. Size and mineral species of PM10 particles of silicate-dominated dust types are tuned mainly by rock weathering and, to lesser extent, by debris formation or crystallization; chemical precipitation of CaCO3 plays a major role in calcite-dominated types. These differences are reflected in the diversity of volume distributions, either within dust types or mineral species. Differences are also observed between volume distributions of calcite from travertine (natural source; SD unimodal at 5 μm a.d.) and from road dust (anthropic source; SD bimodal at 3.8 and 1.8 μm a.d.). The volcanics and travertine dusts differently affect the single scattering albedo (SSA) and the asymmetry

  4. Source apportionment for urban PM10 and PM2.5 in the Beijing area

    Institute of Scientific and Technical Information of China (English)

    ZHANG Wei; GUO JingHua; SUN YeLe; YUAN Hui; ZHUANG GuoShun; ZHUANG YaHui; HAO ZhengPing

    2007-01-01

    Airborne particulate matter (PM2.5 and PM10) samples were collected at the Beijing Normal University sampling site in the urban area of Beijing, China in dry and wet seasons during 2001―2004. Concentrations of 23 elements and 14 ions in particulate samples were determined by ICP-AES and IC, respectively. Source apportionment results derived from both Positive Matrix Factorization (PMF) and Chemical Mass Balance (CMB) models indicate that the major contributors of PM2.5 and PM10 in Beijing are: soil dust, fossil fuel combustion, vehicle exhausts, secondary particulate, biomass burning and some industrial sources. We have identified both regional common sources, such as vehicular emissions, particulate of secondary origin and biomass burning, as well as country-specific problems, such as sand storms and soil dust that should be addressed for effective air quality control.

  5. 40 CFR Appendix J to Part 50 - Reference Method for the Determination of Particulate Matter as PM10 in the Atmosphere

    Science.gov (United States)

    2010-07-01

    ... number, and sampler model and serial number). 9.10 Sample for 24 ±1 hours. 9.11 Determine and record the... meteorological conditions, construction activity, fires or dust storms, etc., that might be pertinent to the... procedures specified in the sampler manufacturer's instruction manual. 11.0 Calculations. 11.1 Calculate the...

  6. Concentrations of Platinum Group Elements (Pt, Pd, Rh in Airborne Particulate Matter (PM2.5 and PM10-2.5 Collected at Selected Canadian Urban Sites: a Case Study

    Directory of Open Access Journals (Sweden)

    Celo V.

    2013-04-01

    Full Text Available Increasing environmental concentrations of platinum group elements (PGEs, in particular platinum (Pt, palladium (Pd and rhodium (Rh, from catalytic converters has been reported worldwide. Initially it was believed that the emitted PGEs remain in the roadside environment, but recent studies have shown that fine PGE-containing particles can be transported and distributed at regional and long-range levels. Therefore, the monitoring of PGEs in airborne particulate matter (PM is important for the estimation of potential risks to human health and to the ecosystem. The aim of this study is to present the first results from an analysis on the concentration and distribution of Pt, Pd and Rh in PM collected on Teflon filters at two selected urban sites (Toronto, Ontario; Edmonton, Alberta collected within the Canadian National Air Pollution Surveillance (NAPS network. In this work, a quadruple inductively coupled plasma mass spectrometry (ICP-MS, combined with microwave assisted acid digestion using aqua regia was used. A cation exchange separation was used to alleviate the matrix-induced spectral and nonspectral interferences prior to ICP-MS analysis. To obtain sufficient material needed for PGEs analysis, fine PM (particles with aerodynamic diameter less than 2.5 mm; PM2.5 and coarse PM (with aerodynamic diameter between 2.5 and 10 mm; PM10-2.5 samples were combined into composite samples on a seasonal basis. The obtained results will be discussed and compared with literature data.

  7. Oxidative potential of coarse particulate matter (PM10–2.5) and its relation to water solubility and sources of trace elements and metals in the Los Angeles Basin

    Science.gov (United States)

    Shirmohammadi, Farimah; Hasheminassab, Sina; Wang, Dongbin; Saffari, Arian; Schauer, James J.; Shafer, Martin M.; Delfino, Ralph J.; Sioutas, Constantinos

    2015-01-01

    In this study, potential sources of water-soluble (WS) and water-insoluble (WI) fractions of metals and trace elements in coarse particulate matter (CPM) (PM10–2.5, 2.5metals such as Mn, Fe, Cd and Zn were associated with WS ROS, while in WI fraction Ti, Fe, Ni, Pb and Cr had the highest correlations with WI ROS activity. Multiple linear regression analysis revealed that both vehicular abrasion and re-suspension of road dust were associated with WS ROS activity, while only vehicular abrasion contributed significantly to the WI ROS activity. Moreover, comparison with previous studies indicated that the ROS activity of CPM has increased in the past 5 years in Central LA. We attribute this increase mainly to the elevated levels of re-suspension of road dust caused by the increase in vehicle speed and number of trucks in recent years in this area, reaffirming the growing importance of non-tailpipe traffic emissions on CPM toxicity. PMID:26560404

  8. 基于 PM10与气态污染物的北京市PM2.5浓度模型研究%Study of PM2.5 Concentrations Model based on PM10 and Gaseous Pollutants in Beijing

    Institute of Scientific and Technical Information of China (English)

    刘严萍; 王勇; 赖迪辉

    2016-01-01

    The correlation analysis method is used to investigate the relationship among PM2.5 concentration, PM10 and gaseous pollutants.Notable positive correlation exists in PM10,SO2 ,NO2 and CO.The relationship a-mong PM2.5 concentration,PM10 and gaseous pollutants are explored in terms of successive regression method. The single-site and unified PM2.5 concentration is constructed respectively.Comparison of observations with model results,we can find that PM2.5 concentration estimation value of single-site model is consistent with that of the u-nified model,and both of them coincide with the PM2.5 concentration observations value.%针对2013年北京市10个空气质量观测站点资料,对影响 PM2.5浓度的因素进行相关性分析,发现PM2.5浓度与 PM10、SO2、NO2和 CO 存在显著正相关特性。通过 PM10与气态污染物构建单站点 PM2.5浓度模型和北京市统一化 PM2.5浓度模型。通过 PM2.5浓度观测值与模型估算结果比较,单站点 PM2.5浓度模型与北京市统一化 PM2.5浓度模型估算结果一致,且两者均与 PM2.5浓度观测值吻合。

  9. Comparison of AERMOD and WindTrax dispersion models in determining PM10 emission rates from beef cattle feedlots

    Science.gov (United States)

    Reverse dispersion modeling has been used to determine air emission fluxes from ground-level area sources, including open-lot beef cattle feedlots. This research compared AERMOD, a Gaussian-based and currently the U.S. Environmental Protection Agency (EPA) preferred regulatory dispersion model, and ...

  10. Vertical characteristics and source identification of PM10 in Tianjin

    Institute of Scientific and Technical Information of China (English)

    Zhimei Xiao; Jianhui Wu; Suqin Han; Yufen Zhang; Hong Xu; Xiaoyong Zhang; Guoliang Shi; Yinchang Feng

    2012-01-01

    Ambient PM10 (particulate matter with a diameter less than 10 μm) concentrations were measured on a 255 meter tower in Tianjin,China.The samples were collected at four vertical levels (10,40,120 and 220 m).Vertical characteristics for PM10 samples were studied.The results showed that the concentrations of PM10 and constituent species had a negative correlation with the sampling height.The highest concentrations of PM10 and species were obtained at the 10 m level,and the lowest concentrations were measured at the 220 m level.For the fractions of species to total mass,SO42- and NO3- had higher values (fraction) at greater height; while Ca had a higher fraction at lower height.Possible source categories for the PM10 ambient dataset were identified by the principal component analysis method.The possible source categories included crustal dust,vehicles,cement dust,and incineration as well as secondary sulfate and nitrate sources.Analysis of meteorological factors on PM10 concentrations indicated that wind speed and inversion may be the main factors contributing to different concentrations of PM10 at different heights.

  11. Chemical characteristics and source apportionment of PM10 during a brown haze episode in Harbin,China

    Institute of Scientific and Technical Information of China (English)

    Likun Huang; Chung-Shin Yuan; Guangzhi Wang; Kun Wang

    2011-01-01

    This study investigates the correlation between PM10 and meteorological factors such as wind speed,atmospheric visibility,dew point,relative humidity,and ambient temperature during a brown haze episode. In order to identify the potential sources of PM10 during brown haze episode,respirable particulate matter (PM10) was collected during both non-haze days and haze days and further analyzed for metallic elements,ionic species,and carbonaceous contents. Among them,ionic species contributed 45-64% to PM10,while metallic elements contributed 7-21% to PM10 which was smaller than the other chemical constituents. The average OC/EC ratio (42) in haze days was about three times of the average OC/EC ratio (14) in non-haze days. By using chemical mass balance (CMB) receptor model,the major sources were apportioned,including traffics,incinerators,coal combustion,steel industry,petrochemical industry,and secondary aerosols,etc. The contribution to PM10 concentration of each source was calculated for all the samples collected. The results showed that coal combustion was the major source of PM10 in non-haze days and secondary aerosols were the major source in haze days,followed by petrochemical industry,incinerators,and traffics,while other sources had negligible effect.

  12. Application of Air Quality Multi-Model Forecast System in Guangzhou:Model Description and Evaluation of PM10 Forecast Performance%空气质量多模式系统在广州应用及对PM10预报效果评估

    Institute of Scientific and Technical Information of China (English)

    陈焕盛; 王自发; 吴其重; 吴剑斌; 晏平仲; 唐晓; 王哲

    2013-01-01

    The air quality multi-model forecast system was introduced and its 24-h forecast performance for meteorological parameters and PM10 daily mean concentration in Guangzhou during September 2010 was evaluated. The results show that although wind speed is overestimated, the model system can effectively predict variation in the meteorological parameters. All air quality models analyzed are shown to reasonably predict temporal and spatial variations of PM10 daily mean concentration in Guangzhou. In addition, all model forecasts satisfy the performance criteria such that mean fractional bias errors are less than or equal to ±60% and 75%, respectively, and several even reached performance goals of less than or equal to ±30% and 50%, respectively. However, all model forecasts overestimate PM10 daily mean concentration in suburban Guangzhou while underestimating the value in the urban region. An optimal model in this operational air quality forecast is not detected through model intercomparison. Variety in stations and statistical indicators may result in significant differences in forecast performance for the same model. Moreover, model ensemble based on arithmetic average does not reveal optimal forecast performance. Optimization of spatial distribution of the emission and usage of improved model ensemble forecast methods such as weighted average, neural network, and multiple regressions may improve forecast performance of the air quality multi-model system.%  介绍了广州空气质量多模式系统并评估其对2010年9月广州市的气象要素和PM10日均浓度的24 h的预报效果。评估结果表明:模式系统较好地预测了气象要素的变化,但高估了风速;各空气质量模式能合理预测广州PM10浓度的时空变化,预报效果均处于可接受范围内(平均分数偏差MFB小于±60%且平均分数误差MFE小于75%),部分模式可达到优秀水平(MFB小于±30%且MFE小于50%),但同时各模式在郊区

  13. Assessment on health economic costs of particulate air pollution in Lanzhou during 2002~2009%2002~2009年兰州PM10人体健康经济损失评估

    Institute of Scientific and Technical Information of China (English)

    侯青; 安兴琴; 王自发; 王郁; 孙兆斌

    2011-01-01

    参考近年来公开发表的国内外流行病学文献,筛选出PM10的健康效应终点和适合于兰州地区的暴露-反应关系系数,对2002~2009年兰州地区PM10人体健康经济损失进行了计算.结果表明2002年以来兰州地区PM10人体健康经济损失并未明显升高,而是逐年波动;年损失值均在10亿元以上,其中2009年最高为16.6亿元:PM10人体健康经济损失与GDP的比值呈明显下降的趋势.%Lanzhou is one of the most polluted cities in China,and the PM10 air pollution could impose harmful effects on local human health. Referencing to the related epidemiological literature published around the world in recent years, this paper screens out the PM10 health endpoints and appropriate exposure-response coefficients, and calculates the health economic loss by PM10 of Lanzhou during 2002-2009. The results show that PM10-related health economic loss is yearly fluctuating, while not a increasing trend from the year of 2002; the loss of every year is generally above one billion RMB, in which the highest amount is 1.66 billion in 2009; and the ratio between Pmio-related health economic loss and GDP is declined in the recent years.

  14. 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

    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......). Conclusions: Seasonal and regional differences in PM10 mortality coefficients appear to partially reflect seasonal and regional differences in total PM10 exposure per unit change in outdoor exposure....

  15. 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.

  16. 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.

  17. Characterization of PM10 sources in the central Mediterranean

    Directory of Open Access Journals (Sweden)

    G. Calzolai

    2015-07-01

    Full Text Available The Mediterranean Basin atmosphere is influenced by both strong natural and anthropogenic aerosol emissions, and is also subject to important climatic forcings. Several programs have addressed the study of the Mediterranean basin; nevertheless important pieces of information are still missing. In this framework, PM10 samples were collected on a daily basis on the island of Lampedusa (35.5° N, 12.6° E, 45 m a.s.l., which is far from continental pollution sources (the nearest coast, in Tunisia, is more than 100 km away. After mass gravimetric measurements, different portions of the samples were analyzed to determine the ionic content by Ion Chromatography (IC, the soluble metals by Inductively Coupled Plasma Atomic Emission Spectrometry (ICP-AES, and the total (soluble + insoluble elemental composition by Particle Induced X-ray Emission (PIXE. Data from years 2007 and 2008 are used in this study. The Positive Matrix Factorization (PMF model was applied to the 2 year long data set of PM10 mass concentration and chemical composition to assess the aerosol sources affecting the Central Mediterranean basin. Seven sources were resolved: sea-salt, mineral dust, biogenic emissions, primary particulate ship emissions, secondary sulphate, secondary nitrate, and combustion emissions. Source contributions to the total PM10 mass were estimated to be about 40 % for sea-salt, around 25 % for mineral dust, 10 % each for secondary nitrate and secondary sulphate, and 5 % each for primary particulate ship emissions, biogenic emissions, and combustion emissions. Large variations in absolute and relative contributions are found and appear to depend on the season and on transport episodes. In addition, the secondary sulphate due to ship emissions was estimated, and found to contribute by about one third to the total sulphate mass. Results for the sea-salt and mineral dust sources were compared with estimates of the same contributions obtained from independent

  18. 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.)

  19. Motor transport related harmful PM2.5 and PM10: from onroad measurements to the modelling of air pollution by neural network approach on street and urban level

    Science.gov (United States)

    Lozhkina, O.; Lozhkin, V.; Nevmerzhitsky, N.; Tarkhov, D.; Vasilyev, A.

    2016-11-01

    The level of PM10 and PM2.5 concentrations in the air on seven roads in St. Petersburg, Russia, were investigated using gravimetry and nephelometry measurement techniques in 2013-2015. The effects of meteorological conditions (temperature, relative humidity, wind direction, and speed) and the intensity of traffic flows on the results of the measurements were also evaluated. On the base of the measurements, there was developed a neural network modelling approach that allowed to quantify exhaust / non-exhaust PM10 and PM 2.5 emissions and carry out numerical investigations of air pollution by transport related PM2.5 and PM10 on street and urban level in St. Petersburg.

  20. Secondary organic carbon quantification and source apportionment of PM10 in Kaifeng, China

    Institute of Scientific and Technical Information of China (English)

    WU Lin; FENG Yinchang; WU Jianhui; ZHU Tan; BI Xiaohui; HAN Bo; YANG Weihong; YANG Zhiqiang

    2009-01-01

    During 2005, the filter samples of ambient PM10 from five sites and the source samples of particulate matter were collected in Kaifeng, Henan province of China. Nineteen elements, water-soluble ions, total carbon (TC) and organic carbon (OC) contained in samples were analyzed. Seven contributive source types were identified and their contributions to ambient PM10 were estimated by chemical mass balance (CMB) receptor model. Weak associations between the concentrations of organic carbon and element carbon (EC) were observed during the sampling periods, indicating that there was secondary organic aerosol pollution in the urban atmosphere. An indirect method of "OC/EC minimum ratio" was applied to estimate the concentration of secondary organic carbon (SOC). The results showed that SOC contributed 26.2%, 32.4% and 18.0% of TC in spring, summer-fall and winter respectively, and the annual average SOC concentration was 7.07 μg/m3, accounting for 5.73% of the total mass in ambient PM10. The carbon species concentrations in ambient PM10 were recalculated by subtracting the SOC concentrations from measured concentrations of TC and OC to increase the compatibility of source and receptor measurements for CMB model.

  1. Development of Land Use Regression Models for PM(2.5), PM(2.5) Absorbance, PM(10) and PM(coarse) in 20 European Study Areas; Results of the ESCAPE Project.

    NARCIS (Netherlands)

    Eeftens, M.R.; Beelen, R.M.J.; de Hoogh, K.; Bellander, T.; Cesaroni, G.; Cirach, M.; Declercq, C.; Dedele, A.; Dons, E.; de Nazelle, A.; Dimakopoulou, K.; Eriksen, K.; Falq, G.; Fischer, P.; Galassi, C.; Grazuleviciene, R.; Heinrich, J.; Hoffmann, B.; Jerrett, M.; Keidel, D.; Korek, M.; Lanki, T.; Lindley, S.; Madsen, C.; Molter, A.; Nador, G.; Nieuwenhuijsen, M.; Nonnemacher, M.; Pedeli, X.; Raaschou-Nielsen, O.; Patelarou, E.; Quass, U.; Ranzi, A.; Schindler, C.; Stempfelet, M.; Stephanou, E.; Sugiri, D.; Tsai, M.Y.; Yli-Tuomi, T.; Varro, M.J.; Vienneau, D.; von Klot, S.; van der Wolf, K.; Brunekreef, B.; Hoek, G.

    2012-01-01

    Land Use Regression (LUR) models have been used increasingly for modeling small-scale spatial variation in air pollution concentrations and estimating individual exposure for participants of cohort studies. Within the ESCAPE project, concentrations of PM(2.5), PM(2.5) absorbance, PM(10), and PM(coar

  2. Modeling of Particulate Emissions

    Science.gov (United States)

    2011-12-01

    Particulates • SOx Cloud Formation Global Warming * - Greenhouse Gases Ozone Layer Depletion - Not an Immediate Concern Global Warming - An Emerging...Concern Local Air Quality - A Continuing Concern Ground Level Troposphere Ozone Layer Depletion • H2O Ozone Depletion (ice formation) 5 Modeling

  3. Characterization of coarse particulate matter in the western United States: a comparison between observation and modeling

    Science.gov (United States)

    Li, R.; Wiedinmyer, C.; Baker, K. R.; Hannigan, M. P.

    2013-02-01

    We provide a regional characterization of coarse particulate matter (PM10-2.5) spanning the western United States based on the analysis of measurements from 50 sites reported in the US EPA Air Quality System (AQS) and two state agencies. We found that the observed PM10-2.5 concentrations show significant spatial variability and distinct spatial patterns, associated with the distributions of land use/land cover and soil moisture. The highest concentrations were observed in the southwestern US, where sparse vegetation, shrublands or barren lands dominate with lower soil moistures, whereas the lowest concentrations were observed in areas dominated by grasslands, forest, or croplands with higher surface soil moistures. The observed PM10-2.5 concentrations also show variable seasonal, weekly, and diurnal patterns, indicating a variety of sources and their relative importance at different locations. The observed results were compared to modeled PM10-2.5 concentrations from an annual simulation using the Community Multiscale Air Quality modeling system (CMAQ) that has been designed for regulatory or policy assessments of a variety of pollutants including PM10, which consists of PM10-2.5 and fine particulate matter (PM2.5). The model under-predicts PM10-2.5 observations at 49 of 50 sites, among which 14 sites have annual observation means that are at least five times greater than model means. Model results also fail to reproduce their spatial patterns. Important sources (e.g. pollen, bacteria, fungal spores, and geogenic dust) were not included in the emission inventory used and/or the applied emissions were greatly under-estimated. Unlike the observed patterns that are more complex, modeled PM10-2.5 concentrations show the similar seasonal, weekly, and diurnal pattern; the temporal allocations in the modeling system need improvement. CMAQ does not include organic materials in PM10-2.5; however, speciation measurements show that organics constitute a significant component

  4. 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.

  5. Improved source apportionment of PM10 in atmosphere of Changchun%长春市大气环境中PM10二重源解析研究

    Institute of Scientific and Technical Information of China (English)

    王菊; 刘禹彤; 赵秀敏; 刘灿; 房春生

    2013-01-01

    PM10 receptor samples of heating and non-heating periods were collected at the eight existing atmospheric environment automatically monitoring stations in Changchun in 2011. Main sources samples of PM10 such as road dust, comprehensive urban dust, soil wind dust, construction dust, industrial coal dust and motor vehicle exhaust were collected in Changchun. Then inorganic elements contained in the source and receptor samples were analyzed and determined. This paper studied on source apportionment of PM10 in urban atmosphere of Changchun with improved source apportionment technique and its amending method based on the chemical mass balance model (CMB). The result shows that the amending method of improved source apportionment technique is easy to identify the large single dust sources for the atmospheric particulate matter. The result reflected the main sources of PM10 and provided the optimal technical support for the development of air pollution control measures and the prevention of key sources of pollution in Changchun.%  于2011年在长春市的8个大气环境自动检测站上采集了采暖期和非采暖期的PM10受体样品,并针对市区内PM10的主要污染源道路尘、城市综合扬尘、土壤风沙尘、建筑尘、工业燃煤尘和机动车尾气尘等采集了PM10源样品。对源和受体样品中所含无机元素进行了分析测定,使用以化学质量平衡模型(CMB)为基础的二重源解析技术及其改进方法对长春市大气环境中 PM10进行二重源解析研究。结果表明:改进后的二重源解析技术易于确定对 PM10贡献大的各单一尘源,能更好的反映城市大气中PM10的主要来源,为制定长春市大气污染治理方案及重点污染源防治提供科学的技术支撑。

  6. 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.

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

    Science.gov (United States)

    Rizzo, Angela Maria; Corsetto, Paola Antonia; Farina, Francesca; Montorfano, Gigliola; Pani, Giuseppe; Battaglia, Cristina; Sancini, Giulio; Palestini, Paola

    2014-01-01

    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.

  8. Spatio-temporal characteristics of PM10 concentration across Malaysia

    Science.gov (United States)

    Juneng, Liew; Latif, Mohd Talib; Tangang, Fredolin T.; Mansor, Haslina

    The recurrence of forest fires in Southeast Asia and associated biomass burning, has contributed markedly to the problem of trans-boundary haze and the long-range movement of pollutants in the region. Air pollutants, specifically particulate matter in the atmosphere, have received extensive attention, mainly because of their adverse effect on people's health. In this study, the spatial and temporal variability of the PM10 concentration across Malaysia was analyzed by means of the rotated principal component analysis. The results suggest that the variability of the PM10 concentration can be decomposed into four dominant modes, each characterizing different spatial and temporal variations. The first mode characterizes the southwest coastal region of the Malaysian Peninsular with the PM10 showing a peak concentration during the summer monsoon i.e. when the winds are predominantly southerlies or southwesterlies, and a minimal concentration during the winter monsoon. The second mode features the region of western Borneo with the PM10 exhibiting a concentration surge in August-September, which is likely to be the result of the northward shift of the Inter Tropical Convergence Zone (ITCZ) and the subsequent rapid arrival of the rainy season. The third mode delineates the northern region of the Malaysian Peninsular with strong bimodality in the PM10 concentration. Seasonally, this component exhibits two concentration maxima during the late winter and summer monsoons, as well as two minima during the inter-monsoon periods. The fourth dominant mode characterizes the northern Borneo region which exhibits weaker seasonality of the PM10 concentration. Generally, the seasonal fluctuation of the PM10 concentration is largely associated with the seasonal variation of rainfall in the country. However, in addition to this, the PM10 concentration also fluctuates markedly in two timescale bands i.e. 10-20 days quasi-biweekly (QBW) and 30-60 days lower frequency (LF) band of the intra

  9. 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

    Directory of Open Access Journals (Sweden)

    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

  10. 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.

  11. Investigating the geographical heterogeneity in PM10-mortality associations in the China Air Pollution and Health Effects Study (CAPES): A potential role of indoor exposure to PM10 of outdoor origin

    Science.gov (United States)

    Zhou, Bin; Zhao, Bin; Guo, Xuefei; Chen, Renjie; Kan, Haidong

    2013-08-01

    This study gives the first-time evidence for China that the geographical heterogeneity of the acute effects of outdoor PM10 can be partially explained by differences in indoor exposure to PM10 of outdoor origin. We used data from the China Air Pollution and Health Effects Study (CAPES), which demonstrated a geographical heterogeneity of the acute effect of particulate air pollution (particulate matter with an aerodynamic diameter smaller than 10 μm, or PM10) on mortality in 16 Chinese cities. Given that a large fraction of the exposure to PM10 of outdoor origin occurs indoors, we made the hypothesis that this heterogeneity might be partially explained by inter-city differences in indoor exposure to PM10 of outdoor origin. In our analysis, we estimated PM10 exposure coefficients (the change in the estimated personal exposure to PM10 of outdoor origin per unit change in outdoor PM10 concentration) in these 16 Chinese cities and examined their correlation with PM10 mortality coefficients (the increase in mortality associated with a given increase in the concentrations of outdoor PM10). We showed that the PM10 mortality coefficients and the PM10 exposure coefficients were significantly correlated, with an R-squared (R2) value of 0.549 (95% confidence interval: 0.201, 0.771; p values of the key input parameters, and close in value to estimations found in previous studies on similar subjects.

  12. Meteorological variations of PM2.5/PM10 concentrations and particle-associated polycyclic aromatic hydrocarbons in the atmospheric environment of Zonguldak, Turkey.

    Science.gov (United States)

    Akyüz, Mehmet; Cabuk, Hasan

    2009-10-15

    Airborne particulate matter (PM(2.5) and PM(10)) concentrations were measured in Zonguldak, Turkey from January to December 2007, using dichotomous Partisol 2025 sampler. Collected particulate matter was analyzed for 14 selected polycyclic aromatic hydrocarbons (PAHs) by high-performance liquid chromatography with fluorescence detection (HPLC-FL). The seasonal variations of PM(2.5) and PM(10) concentrations were investigated together with their relationships with meteorological parameters. The maximum daily concentrations of PM(2.5) and PM(10) reached 83.3 microg m(-3) and 116.7 microg m(-3) in winter, whereas in summer, they reached 32.4 microg m(-3) and 66.7 microg m(-3), respectively. Total concentration of PM(10)-associated PAHs reached 492.4 ng m(-3) in winter and 26.0 ng m(-3) in summer times. The multiple regression analysis was performed to predict total PM(2.5)- and PM(10)-associated PAHs and benzo(a)pyrene-equivalent (BaPE) concentrations with respect to meteorological parameters and particulate mass concentrations with the determination coefficients (R(2)) of 0.811, 0.805 and 0.778, respectively. The measured mean values of concentrations of total PM(2.5)- and PM(10)-associated PAHs were found to be 88.4 ng m(-3) and 93.7 ng m(-3) while their predicted mean values were found to be 92.5 ng m(-3) and 98.2 ng m(-3), respectively. In addition, observed and predicted mean concentration values of PM(2.5)-BaPE were found to be 14.1 ng m(-3) and 14.6 ng m(-3). The close annual mean concentrations of measured and predicted total particulate related PAHs imply that the models can be reliably used for future predictions of particulate related PAHs in urban atmospheres especially where fossil fuels are mainly used for heating.

  13. 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.

  14. 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

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

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    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%.

  16. Ambient Particulate Matter (PM2.5/PM10) Exposure and Emergency Department Visits for Acute Myocardial Infarction in Chaoyang District, Beijing, China During 2014: A Case-Crossover Study

    Science.gov (United States)

    Zhang, Qian; Qi, Weipeng; Yao, Wei; Wang, Mei; Chen, Yiyong; Zhou, Yujie

    2016-01-01

    Background Epidemiology studies have shown a consistently increased risk of acute myocardial infarction (AMI) correlated with particulate matter (PM) exposure. However, little is known about the association with specific AMI subtypes. In this work, we investigated the association between short-term PM exposure and emergency department visits (EDVs) for AMI, ST-elevation myocardial infarction (STEMI), and non-ST-elevation myocardial infarction (NSTEMI). Methods We based this case-crossover study on 2749 patients from Chaoyang District hospitalized with AMI in Anzhen Hospital during 2014. Meteorological and air pollution data were collected during this period. We used a time-stratified case-crossover design with lag model, adjusted for meteorological conditions and/or other gaseous pollutants, to estimate risk of EDVs for AMI, STEMI, and NSTEMI. We conducted stratified analyses by gender, age, season, and comorbid conditions to examine potential effect modification. Results We found that each 10 µg/m3 increment of PM2.5 concentration (1-day lagged) was associated with an increased risk of EDVs for STEMI (OR 1.05; 95% CI, 1.00–1.11). We found no association of PM2.5 concentration with overall AMI or NSTEMI. No effect modification was found when stratified by gender, season, or comorbid conditions, even though the effect size was larger in patients who were male, smokers, and comorbid with hypertension. Patients aged ≥65 years showed a significantly increased risk of STEMI associated with PM2.5 in the previous day than those aged <65 years. Conclusions Our study indicated a transient effect of short-term PM2.5 exposure on EDVs for STEMI. Patients aged ≥65 years appeared to be particularly susceptible. Our findings suggest that studies of the association between PM exposure and AMI should consider AMI subtypes, lag times, and individual characteristics. PMID:27064131

  17. The dynamical impact of Rossby wave breaking upon UK PM10 concentration

    Science.gov (United States)

    Webber, Christopher P.; Dacre, Helen F.; Collins, William J.; Masato, Giacomo

    2017-01-01

    Coarse particulate matter (PM10) has long been understood to be hazardous to human health, with mortality rates increasing as a result of raised ground level concentrations. We explore the influence of synoptic-scale meteorology on daily mean observed PM10 concentration ([PM10]) using Rossby wave breaking (RWB). Meteorological reanalysis data for the winter months (DJF) between January 1999 and December 2008 and observed PM10 data for three urban background UK (Midland) sites were analysed. Three RWB diagnostics were used to identify RWB that had significant influence on UK Midland PM10. RWB events were classified according to whether the RWB was cyclonic or anticyclonic in its direction of breaking and whether the RWB event was influenced more by poleward or equatorial air masses. We find that there is a strong link between RWB events and UK [PM10]. Significant increases (p UK [PM10] were seen 1 day following RWB occurring in spatially constrained northeast Atlantic-European regions. Analysis into episodic PM10 exceedance events shows increased probability of [PM10] exceedance associated with all RWB subsets. The greatest probability of exceeding the UK [PM10] threshold was associated with cyclonic RWB preceded by anticyclonic RWB forming an Ω block synoptic pattern. This mechanism suggests an easterly advection of European PM10 followed by prolonged stagnant conditions within the UK and led to an almost threefold increase in the probability of the UK Midlands exceeding a hazardous [PM10] threshold (0.383), when compared to days where no RWB was detected (0.129).

  18. 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.

  19. Geographic variation in Chinese children' forced vital capacity and its association with long-term exposure to local PM10: a national cross-sectional study.

    Science.gov (United States)

    Wang, Hai-Jun; Li, Qin; Guo, Yuming; Song, Jie-Yun; Wang, Zhiqiang; Ma, Jun

    2017-08-12

    The purpose of this study was to estimate the association between Chinese children's forced vital capacity (FVC) and particulate matter with aerodynamic diameter ≤10 μm (PM10). The FVC data of 71,763 children aged 7 to 18 was collected from 2010 Chinese National Survey on Students' Construction and Health (CNSSCH). The local annual average concentration of PM10, relative humidity, ambient temperature, and other air pollutant data of 30 cities was collected from China Meteorological Administration and Ministry of Environment Protection of China. Then, we used generalized additive model (GAM) to estimate the association between children's FVC and PM10. The obvious geographic variation in FVC was found in children of 30 Chinese cities ranging from 1647 ml in Xining to 2571 ml in Beijing. The annual average concentration of PM10 was also different, ranging from 40 μg/m(3) in Haikou to 155 μg/m(3) in Lanzhou. After adjusted individual characteristics, socioeconomic conditions, ambient temperature, relative humidity, and other air pollutants (e.g., NO2 and SO2) in the generalized additive model, we found that the increase of PM10 was associated with decrease of FVC in Chinese children. A 10-μg/m(3) increase of PM10 was associated with 1.33-ml decrease in FVC (95% confidence interval: -2.18 to -0.47). We also found a larger effect estimate of PM10 on FVC in boys than that in girls. Consistent associations were found in both physically inactive and active children. The increase of PM10 was associated with decrease of children's FVC. We should develop proper public health policy to protect children's respiratory health during growth and development in polluted areas.

  20. Procedures for identifying reasonably available control technology for stationary sources of PM-10. Final report

    Energy Technology Data Exchange (ETDEWEB)

    Fitzpatrick, M.J.; Ellefson, R.

    1992-09-01

    The guidance document sets forth procedures and identifies sources of information that will assist State and local air pollution control agencies in determining Reasonably Available Control Technology (RACT) for PM-10 (particulate matter having a nominal aerometric diameter of 10 microns or less) emission from existing stationary sources on a case-by-case basis. It provides an annotated bibliography of documents to aid in identifying the activities that cause PM-10 emissions as well as applicable air pollution control measures and their effectiveness in reducing emissions. The most stringent state total particulate matter (PM) emission limits are identified for several categories of PM-10 sources and compared to available emission test data. Finally, guidance is provided on procedures for estimating total capital investment and total annual cost of the control measures which are generally used to control PM-10 emissions.

  1. Investigating the potential for interaction between the components of PM10

    OpenAIRE

    Stone, Vicki; Wilson, Martin R.; Lightbody, Janet; Donaldson, Kenneth

    2003-01-01

    The adverse health effects of elevated exposures to PM10 (particulate matter collected through a size selective inlet with an efficiency of 50% for particles with an aerodynamic diameter of 10 μm) in relation to morbidity and mortality, especially in susceptible individuals, are now well recognised. PM10 consists of a variable cocktail of components differing in chemical composition and size. Epidemiological and toxicological data suggest that transition metals and ultrafine particles are bot...

  2. 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.

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

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    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.

  4. Spatial and Seasonal Variations of Polycyclic Aromatic Hydrocarbons (PAHs) in Ambient Particulate Matter (PM10, PM2.5) in Three Mega-Cities in China and Identification of Major Contributing Source Types.

    Science.gov (United States)

    Zhang, Linlin; Chen, Rui; Lv, Jungang

    2016-06-01

    Beijing, is the political, economic and cultural center of China. Tianjin and Shijiazhuang, located close to Beijing are also two mega-cities with huge population. The rapid economic development in the three cities in the last decades has caused severe air pollution problems, especially airborne PAHs pollution, in both gaseous and particulate phases, which has resulted in considerable harm to the health of local residents. In this study, a total of 671 air samples were collected in the three cities and reference site, and four national air quality background sites. Concentrations and seasonal variations were discussed to describe the pollution status and identify possible sources. The results showed that concentrations of BaP, a PAH that serves as an indicator of PAH pollution, exceeded the Chinese national standard by 4-12 times. PAH concentrations varied significantly in different seasons, with similar trends in the three cities. The toxic equivalents quantity (i.e., quantity of total PAHs with an equivalent toxicity to BaP) ranged from 13.35 to 22.54 ng/m(3) during the central heating period of winter and spring. These concentrations greatly exceeded the Chinese national standards for 24-h average (2.5 ng/m(3)) and annual average (1.0 ng/m(3)) concentrations of BaP. Two ratios that are indicative of PAH source, Pyr/BaP and BaP/BghiP, revealed that high percentages of the PAH pollution were contributed by coal combustion.

  5. 75 FR 41379 - Finding of Attainment for PM10

    Science.gov (United States)

    2010-07-16

    ... AGENCY 40 CFR Part 81 Finding of Attainment for PM 10 for the Mendenhall Valley PM 10 Nonattainment Area... the Mendenhall Valley nonattainment area in Alaska attained the National Ambient Air Quality Standard... determinations? D. What is the attainment date for the Mendenhall PM 10 nonattainment area? E. What PM 10...

  6. Time-Series Mapping of PM10 Concentration Using Multi-Gaussian Space-Time Kriging: A Case Study in the Seoul Metropolitan Area, Korea

    Directory of Open Access Journals (Sweden)

    No-Wook Park

    2016-01-01

    Full Text Available This paper presents space-time kriging within a multi-Gaussian framework for time-series mapping of particulate matter less than 10 μm in aerodynamic diameter (PM10 concentration. To account for the spatiotemporal autocorrelation structures of monitoring data and to model the uncertainties attached to the prediction, conventional multi-Gaussian kriging is extended to the space-time domain. Multi-Gaussian space-time kriging presented in this paper is based on decomposition of the PM10 concentrations into deterministic trend and stochastic residual components. The deterministic trend component is modelled and regionalized using the temporal elementary functions. For the residual component which is the main target for space-time kriging, spatiotemporal autocorrelation information is modeled and used for space-time mapping of the residual. The conditional cumulative distribution functions (ccdfs are constructed by using the trend and residual components and space-time kriging variance. Then, the PM10 concentration estimate and conditional variance are empirically obtained from the ccdfs at all locations in the study area. A case study using the monthly PM10 concentrations from 2007 to 2011 in the Seoul metropolitan area, Korea, illustrates the applicability of the presented method. The presented method generated time-series PM10 concentration mapping results as well as supporting information for interpretations, and led to better prediction performance, compared to conventional spatial kriging.

  7. Characterization and source apportionment of health risks from ambient PM10 in Hong Kong over 2000-2011

    Science.gov (United States)

    Li, Zhiyuan; Yuan, Zibing; Li, Ying; Lau, Alexis K. H.; Louie, Peter K. K.

    2015-12-01

    Atmospheric particulate matter (PM) pollution is a major public health concern in Hong Kong. In this study, the spatiotemporal variations of health risks from ambient PM10 from seven air quality monitoring stations between 2000 and 2011 were analyzed. Positive matrix factorization (PMF) was adopted to identify major source categories of ambient PM10 and quantify their contributions. Afterwards, a point-estimated risk model was used to identify the inhalation cancer and non-cancer risks of PM10 sources. The long-term trends of the health risks from classified local and non-local sources were explored. Furthermore, the reason for the increase of health risks during high PM10 days was discussed. Results show that vehicle exhaust source was the dominant inhalation cancer risk (ICR) contributor (72%), whereas trace metals and vehicle exhaust sources contributed approximately 27% and 21% of PM10 inhalation non-cancer risk (INCR), respectively. The identified local sources accounted for approximately 80% of the ICR in Hong Kong, while contribution percentages of the non-local and local sources for INCR are comparable. The clear increase of ICR at high PM days was mainly attributed to the increase of contributions from coal combustion/biomass burning and secondary sulfate, while the increase of INCR at high PM days was attributed to the increase of contributions from the sources coal combustion/biomass burning, secondary nitrate, and trace metals. This study highlights the importance of health risk-based source apportionment in air quality management with protecting human health as the ultimate target.

  8. Temporal and spatial PM10 concentration distribution using an inverse distance weighted method in Klang Valley, Malaysia

    Science.gov (United States)

    Tarmizi, S. N. M.; Asmat, A.; Sumari, S. M.

    2014-02-01

    PM10 is one of the air contaminants that can be harmful to human health. Meteorological factors and changes of monsoon season may affect the distribution of these particles. The objective of this study is to determine the temporal and spatial particulate matter (PM10) concentration distribution in Klang Valley, Malaysia by using the Inverse Distance Weighted (IDW) method at different monsoon season and meteorological conditions. PM10 and meteorological data were obtained from the Malaysian Department of Environment (DOE). Particles distribution data were added to the geographic database on a seasonal basis. Temporal and spatial patterns of PM10 concentration distribution were determined by using ArcGIS 9.3. The higher PM10 concentrations are observed during Southwest monsoon season. The values are lower during the Northeast monsoon season. Different monsoon seasons show different meteorological conditions that effect PM10 distribution.

  9. 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.

  10. 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).

  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/m(3) 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.

  12. Chemical mass balance source apportionment of PM 10 in an industrialized urban area of Northern Greece

    Science.gov (United States)

    Samara, C.; Kouimtzis, Th; Tsitouridou, R.; Kanias, G.; Simeonov, V.

    Ambient PM 10 were sampled at three sites in an industrialized urban area of Northern Greece during June 1997-June 1998 and analyzed for 17 chemical elements, 5 water-soluble ions and 13 polycyclic aromatic hydrocarbons. In addition, chemical source profiles consisting of the same particulate components were obtained for a number of industrial activities (cement, fertilizer and asphalt production, quarry operations, metal electroplating, metal welding and tempering, steel manufacture, lead and bronze smelters, metal scrap incineration), residential oil burning, non-catalyst and catalyst-equipped passenger cars, diesel fuelled taxis and buses, as well as for geological fugitive sources (paved road dust and soil from open lands). Ambient and source data were used in a chemical mass balance (CMB) receptor model for source identification and apportionment. Results of CMB modeling showed that major source of ambient PM 10 at all three sites was diesel vehicle exhaust. Significant contribution from industrial oil burning was also evidenced at the site located closest to the industrial area.

  13. The contribution of Saharan dust in PM(10) concentration levels in Anatolian Peninsula of Turkey.

    Science.gov (United States)

    Kabatas, B; Unal, A; Pierce, R B; Kindap, T; Pozzoli, L

    2014-08-01

    Sahara-originated dust is the most significant natural source of particulate matter; however, this contribution is still unclear in the Eastern Mediterranean especially in Western Turkey, where significant industrial sources and metropolitan areas are located. The Real-time Air Quality Modeling System (RAQMS) is utilized to explore the possible effects of Saharan dust on high levels of PM10 measured in Turkey. RAQMS model is compared with 118-air quality stations distributed throughout Turkey (81 cities) for April 2008. MODIS aerosol product (MOD04 for Terra and MYD04 for Aqua) is used to see columnar aerosol loading of the atmosphere at 550 nm (Aerosol optical depth (AOD) values found to be between 0.6 and 0.8 during the episode). High-resolution vertical profiles of clouds and aerosols are provided from CALIOP, on board of CALISPO satellite. The results suggest a significant contribution of Sahara dust to high levels of PM10 in Turkey with RAQMS and in situ time series showing similar patterns. The two data sets are found to be in agreement with a correlation of 0.87.

  14. Long-term Exposure to PM10 and NO2 in Association with Lung Volume and Airway Resistance in the MAAS Birth Cohort

    OpenAIRE

    2013-01-01

    Background: Findings from previous studies on the effects of air pollution exposure on lung function during childhood have been inconsistent. A common limitation has been the quality of exposure data used, and few studies have modeled exposure longitudinally throughout early life. Objectives: We sought to study the long-term effects of exposure to particulate matter with an aerodynamic diameter ≤ 10 μm (PM10) and to nitrogen dioxide (NO2) on specific airway resistance (sRaw) and forced expira...

  15. 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.

  16. Study on the influence of ground and satellite observations on the numerical air-quality for PM10 over Romanian territory

    Science.gov (United States)

    Dumitrache, Rodica Claudia; Iriza, Amalia; Maco, Bogdan Alexandru; Barbu, Cosmin Danut; Hirtl, Marcus; Mantovani, Simone; Nicola, Oana; Irimescu, Anisoara; Craciunescu, Vasile; Ristea, Alina; Diamandi, Andrei

    2016-10-01

    The numerical forecast of particulate matter concentrations in general, and PM10 in particular is a theme of high socio-economic relevance. The aim of this study was to investigate the impact of ground and satellite data assimilation of PM10 observations into the Weather Research and Forecasting model coupled with Chemistry (WRF-CHEM) numerical air quality model for Romanian territory. This is the first initiative of the kind for this domain of interest. Assimilation of satellite information - e.g. AOT's in air quality models is of interest due to the vast spatial coverage of the observations. Support Vector Regression (SVR) techniques are used to estimate the PM content from heterogeneous data sources, including EO products (Aerosol Optical Thickness), ground measurements and numerical model data (temperature, humidity, wind, etc.). In this study we describe the modeling framework employed and present the evaluation of the impact from the data assimilation of PM10 observations on the forecast of the WRF-CHEM model. Integrations of the WRF-CHEM model in data assimilation enabled/disabled configurations allowed the evaluation of satellite and ground data assimilation impact on the PM10 forecast performance for the Romanian territory. The model integration and evaluation were performed for two months, one in winter conditions (January 2013) and one in summer conditions (June 2013).

  17. Cytokine Production Modified by System Xc- After PM10 and Asbestos Exposure

    OpenAIRE

    Overocker, Jason; Pfau, Jean C.

    2012-01-01

    It has been shown that inhaled particulate matter such as air pollution and asbestos are linked to a number of immune diseases such as asthma, and Systemic Lupus Erythematosus (SLE), respectively. This research may contribute to understanding the mechanisms of how asbestos and air pollution particulate (PM10) produce oxidative stress on macrophages, as well as how the macrophages will respond to the oxidative stressors. Using Flow Cytometry, DCFDA Fluorescence, Glutamate Transport, and Cytoki...

  18. Estimation of daily PM10 concentrations 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 PM10 measurements, land-use variables and meteorological parameters into a four-stage mixed model framework to derive estimates of daily PM10 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 PM10=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 PM10 levels in specific areas (Po river valley, main industrial and metropolitan areas) with decreasing trends over time. Our daily predictions of PM10 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.

  19. R9 PM-10 Designated Areas

    Data.gov (United States)

    U.S. Environmental Protection Agency — Polygon feature class of nonattainment areas for particulate matter < 10 microns. Nonattainment areas are geographic areas which have not met national ambient air...

  20. Characteristics of PM10 and CO2 concentrations on 100 underground subway station platforms in 2014 and 2015

    Science.gov (United States)

    Hwang, Sung Ho; Park, Wha Me; Park, Jae Bum; Nam, Taegyun

    2017-10-01

    In this study, the concentrations of particulate matter 10 μm or less in diameter (PM10) and carbon dioxide (CO2) were measured in 100 underground subway stations, and the potential health risks of PM10, and environmental factors affecting these concentrations were analyzed. The concentrations were measured from May 2014 to September 2015 in stations along Seoul Metro lines 1-4. There were significantly different PM10 concentrations among the underground subway stations along lines 1, 2, 3, and 4. The PM10 concentrations were associated with the CO2 concentrations, construction years, station depths, and numbers of passengers. The underground PM10 concentrations were significantly higher than the outdoor PM10 concentrations. In addition, the PM10 concentrations were higher in the stations that were constructed in the 1970s than in those constructed after the 1970s. The PM10 and CO2 concentrations varied significantly, depending on the construction year and number of passengers. The hazard quotient is higher than the acceptable level of 1.0 μg kg-1 day for children, indicating that they are at risk of exposure to unsafe PM10 levels when travelling by the metro. Therefore, stricter management may be necessary for the stations constructed in the 1970s as well as those with higher numbers of passengers.

  1. PM10 weekly periodicity in Beijing and Tianjin, 2000-2009: Anthropogenic or natural contributions?

    Science.gov (United States)

    Choi, Yong-Sang; Kim, Bo-Ram

    2012-08-01

    This study investigates the weekly periodicity of PM10 (aerosol particulate matter with a diameter <10 μm) mass concentrations over Beijing and Tianjin as well as its relationship with synoptic-scale weather variability. The two cities are large air pollutant source regions that are often affected by the same weather system due to their close proximity. Comparison of the two cities, therefore, advances our understanding of the contributions of the weather variability (or anthropogenic emissions) to the weekly periodicity of PM10. Here we analyze PM10 anomalies against weekly means over the past 10 years (2000-2009) on the frequency domain using a fast Fourier transform. Results show that the interannual variabilities of PM10 weekly periodicity, defined as the ratio of 6-8-day variance to 2-14-day variance, between Beijing and Tianjin are correlated in the summer and fall, but are uncorrelated in the spring. In the fall, the higher correlation of PM10 weekly periodicity between the two cities may be associated with strong influence of the natural weather variability as represented by 850-hPa geopotential height, surface diurnal temperature range, and 1000-hPa wind. However, in the spring and summer, the influence of the weather variability on the PM10 weekly periodicity was not identified. The weather variability accounts for 0-85% of the PM10 weekly periodicity variation, with the maximal value in Beijing in the fall. These findings suggest that contribution of the weather variability to shaping the PM10 weekly periodicity over Beijing and Tianjin is restrictive and transient.

  2. Contribution of dust storms to PM10 levels in an urban arid environment.

    Science.gov (United States)

    Krasnov, Helena; Katra, Itzhak; Koutrakis, Petros; Friger, Michael D

    2014-01-01

    Quantitative information on the contribution of dust storms to atmospheric PM10 (particulate matter with an aerodynamic diameter storms to PM10 concentrations in a desert urban center, the city of Beer-Sheva, Negev, Israel, during the period of 2001-2012. Toward this end, a background value based on the "dust-free" season was used as a threshold value to identify potentially "dust days." Subsequently, the net contribution of dust storms to PM10 was assessed. During the study period, daily PM10 concentrations ranged from 6 to over 2000 microg/m3. In each year, over 10% of the daily concentrations exceeded the calculated threshold (BVt) of 71 microg/m3. An average daily net contribution of dust to PM10 of 122 microg/m3 was calculated for the entire study period based on this background value. Furthermore, a dust storm intensity parameter (Ai) was used to analyze several storms with very high PM10 contributions (hourly averages of 1000-5197 microg/m3). This analysis revealed that the strongest storms occurred mainly in the last 3 yr of the study. Finally, these findings indicate that this arid urban environment experiences high PM10 levels whose origin lies in both local and regional dust events. The findings indicate that over time, the urban arid environment experiences high PM10 levels whose origin lies in local and regional dust events. It was noticed that the strongest storms have occurred mainly in the last 3 yr. It is believed that environmental changes such as global warming and desertification may lead to an increased air pollution and risk exposure to human health.

  3. Forest fires and PM10 pollution: the March 2012 case in Northern Spain

    Science.gov (United States)

    Rasilla Álvarez, Domingo; García Codron, Juan Carlos; Carracedo Martín, Virginia

    2016-04-01

    Forest fires are one of the largest sources of particulate matter, carbon monoxide, volatile organic compounds and other pollutants at regional scale. They significantly impact on local air quality and human health, even far from their original sources. March 2012 was one of the largest fire activity late winter and early spring seasons across northern Spain and Portugal. Official statistics from the Spanish and Portuguese authorities show that, during that month, approximately 35.000 ha were burned, representing the top March season in Cantabria (N. Spain) and the northern distritos of Portugal since 1981, most of them occurring in the mountainous areas, as depicted from the FIRMS database (https://firms.modaps.eosdis.nasa.gov/). At the same time, an analysis of the pollution data (Airbase dataset; http://www.eea.europa.eu/) show an increase in PM10 average values and exceedences of the limit values across the same area simultaneously or immediately after the main fire activity episodes. A comprehensive analysis of this fire and pollution event was undertaken to analyze the possible contribution of forest fires and other sources of PM10 to the high levels of this pollutant at ground level. Besides statistics of fire activity, satellite "hot spots" and ground level pollution data, we have included in our analysis meteorological records (synoptic stations, upper air soundings), backtrajectories (http://ready.arl.noaa.gov/HYSPLIT.php) and dust forecast models (https://www.bsc.es/earth-sciences/mineral-dust/catalogo-datos-dust). The results show a good agreement between the spatial and temporal variability of the levels of PM10 and the direction of the pollution plumes downwind the forest fires. The activity was mostly concentrated during 3 events, the first one between February 25th to March 3rd; the second spanning from 10th to 17th, and the last one, the most severe of the three, at the end of March. The climatological background was favourable, because most of the

  4. Health Risk Assessment of Inhalable Particulate Matter in Beijing Based on the Thermal Environment

    Directory of Open Access Journals (Sweden)

    Lin-Yu Xu

    2014-11-01

    Full Text Available Inhalable particulate matter (PM10 is a primary air pollutant closely related to public health, and an especially serious problem in urban areas. The urban heat island (UHI effect has made the urban PM10 pollution situation more complex and severe. In this study, we established a health risk assessment system utilizing an epidemiological method taking the thermal environment effects into consideration. We utilized a remote sensing method to retrieve the PM10 concentration, UHI, Normalized Difference Vegetation Index (NDVI, and Normalized Difference Water Index (NDWI. With the correlation between difference vegetation index (DVI and PM10 concentration, we utilized the established model between PM10 and thermal environmental indicators to evaluate the PM10 health risks based on the epidemiological study. Additionally, with the regulation of UHI, NDVI and NDWI, we aimed at regulating the PM10 health risks and thermal environment simultaneously. This study attempted to accomplish concurrent thermal environment regulation and elimination of PM10 health risks through control of UHI intensity. The results indicate that urban Beijing has a higher PM10 health risk than rural areas; PM10 health risk based on the thermal environment is 1.145, which is similar to the health risk calculated (1.144 from the PM10 concentration inversion; according to the regulation results, regulation of UHI and NDVI is effective and helpful for mitigation of PM10 health risk in functional zones.

  5. 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.

  6. Source apportionment of speciated PM10 in the United Kingdom in 2008: Episodes and annual averages

    Science.gov (United States)

    Redington, A. L.; Witham, C. S.; Hort, M. C.

    2016-11-01

    The Lagrangian atmospheric dispersion model NAME (Numerical Atmospheric-dispersion Modelling Environment), has been used to simulate the formation and transport of PM10 over North-West Europe in 2008. The model has been evaluated against UK measurement data and been shown to adequately represent the observed PM10 at rural and urban sites on a daily basis. The Lagrangian nature of the model allows information on the origin of pollutants (and hence their secondary products) to be retained to allow attribution of pollutants at receptor sites back to their sources. This source apportionment technique has been employed to determine whether the different components of the modelled PM10 have originated from UK, shipping, European (excluding the UK) or background sources. For the first time this has been done to evaluate the composition during periods of elevated PM10 as well as the annual average composition. The episode data were determined by selecting the model data for each hour when the corresponding measurement data was >50 μg/m3. All the modelled sites show an increase in European pollution contribution and a decrease in the background contribution in the episode case compared to the annual average. The European contribution is greatest in southern and eastern parts of the UK and decreases moving northwards and westwards. Analysis of the speciated attribution data over the selected sites reveals that for 2008, as an annual average, the top three contributors to total PM10 are UK primary PM10 (17-25%), UK origin nitrate aerosol (18-21%) and background PM10 (11-16%). Under episode conditions the top three contributors to modelled PM10 are UK origin nitrate aerosol (12-33%), European origin nitrate aerosol (11-19%) and UK primary PM10 (12-18%).

  7. Characteristics of PM10 and PM2.5 at Mount Wutai Buddhism Scenic Spot, Shanxi, China

    Directory of Open Access Journals (Sweden)

    Zhihui Wu

    2015-08-01

    Full Text Available A survey was conducted to effectively investigate the characteristics of airborne particulate pollutants PM10 and PM2.5 during the peak tourist season at Mount Wutai Buddhism scenic spot, Shanxi, China. Characteristics of the PM10 and PM2.5 in Wu Ye Temple (core incense burners, Manjusri Temple (a traffic hub, Yang Bai Lin Village (a residential district, and Nan Shan Temple (located in a primitive forest district, were determined. The results showed that the PM10 concentration was more than 1.01–1.14 times higher than the threshold (50 μg/m3 of World Health Organization Air Quality Guidelines (2005, and the PM2.5 concentration was 1.75–2.70 times higher than the above standard (25 μg/m3. Particle size analysis indicated that the distribution of fine particulate matter in Wu Ye Temple ranged from 0 to 3.30 μm. In other sampling points, the fine particulate was mainly distributed in the range of 0–5.90 μm. The particulates in Wu Ye Temple were mainly characterized by spherical, rod-like, and irregular soot aggregates (PM10 and spherical particles of dust (PM2.5. Manjusri Temple and Yang Bai Lin Village predominantly exhibited irregular soil mineral particulate matter (PM10, and amorphous ultrafine soot particulate matter (PM2.5.

  8. Interaction between Inhalable Particulate Matter and Apparent Temperature on Respiratory Emergency Room Visits of a Hospital in Beijing%PM10与表观温度交互作用对北京市某医院呼吸系统疾病急诊的影响

    Institute of Scientific and Technical Information of China (English)

    李国星; 陶辉; 刘利群; 郭玉明; 潘小川

    2012-01-01

    目的 探讨PM10与表观温度交互作用对北京市某医院呼吸系统疾病急诊的影响.方法 收集北京市某三甲医院急诊料2005年1月至2009年6月每日呼吸系统急诊病例资料、同期北京市环境监测中心大气污染物数据和中国科学数据共享服务网的气象数据.采用广义相加模型,通过惩罚样条函数控制长期趋势、星期几效应及其他可能的混杂因素,对数据进行分析.结果 PM10与平均表观温度和最低表观温度的交互作用在低温时有统计学意义(P<0.05),与日表观温度差值的交互作用在温差较大时有统计学意义(P<0.05).在表观温度为低温、中温、高温3个水平时,PM10对于呼吸系统急诊的超额危险度分别为5.90%(95%CI:2.15%~9.78%),0.01%(95%CI:-0.65%~0.63%),~0.22%(95%CI:-0.63%~0.17%);在最低表观温度为低温、高温水平时,PM10对于呼吸系统急诊的超额危险度分别为1.42% (95%CI:0.37%~2.53%),-0.17% (95%CI:-0.56%~0.20%);在日表观温度差值的高、中、低3个水平时,PM10对于呼吸系统急诊的超额危险度分别为0.05%(95%CI:-0.65%-0 75%),0.01%(95%CI:-0.37%~0.40%),1.75% (95%CI:0.50%~3.02%).结论 在低温和温差比较大的情况下,PM10对呼吸系统疾病的风险较大,应该加强对呼吸系统疾病患者的防护.%Objective To explore the interactive effects between inhalable participate matter and apparent temperature on respiratory diseases (ICD-ID J00-J99) emergency room visits of a hospital in Beijing, China. Methods The data of the daily emergency room visits for respiratory diseases from a grade Ⅲ-A general hospital, the data of relevant ambient air pollution from the Beijing Municipal Environmental Monitoring Center and the data of meteorological index from China meteorological data sharing service system from January, 2005 to June, 2009 were collected. Generalized additive models

  9. 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.

  10. Variation of OC, EC, WSIC and trace metals of PM10 in Delhi, India

    Science.gov (United States)

    Sharma, S. K.; Mandal, T. K.; Saxena, Mohit; Rashmi; Sharma, A.; Datta, A.; Saud, T.

    2014-06-01

    Variation of organic carbon (OC), elemental carbon (EC), water soluble inorganic ionic components (WSIC) and major and trace elements of particulate matter (PM10) were studied over Delhi, an urban site of the Indo Gangatic Plain (IGP), India in 2010. Strong seasonal variation was noticed in the mass concentration of PM10 and its chemical composition with maxima during winter (PM10: 213.1±14.9 μg m-3; OC: 36.05±11.60 μg m-3; EC: 9.64±2.56 μg m-3) and minima during monsoon (PM10: 134.7±39.9 μg m-3; OC: 14.72±6.95 μg m-3; EC: 3.35±1.45 μg m-3). The average concentration of major and trace elements (Na, Mg, Al, P, S, Cl, K, CA, Cr, Ti, Fe, Zn and Mn) was accounted for ~17% of the PM10 mass. Average values of K+/EC (0.28) and Cl-/EC (0.59) suggest the influences of biomass burning in PM10, whereas, higher concentration of Ca2+ suggests the soil erosion as possible source from the nearby agricultural field. Fe/Al ratio (0.34) indicates mineral dust as a source at the sampling site, similarly, Ca/Al ratio (2.45) indicates that aerosol over this region is rich in Ca mineral compared to average upper continental crust. Positive matrix factorization (PMF) analysis quantifies the contribution of soil dust (20.7%), vehicle emissions (17.0%), secondary aerosols (21.7%), fossil fuel combustion (17.4%) and biomass burning (14.3%) to PM10 mass concentration at the observational site of Delhi.

  11. 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 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.

  12. 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

    Directory of Open Access Journals (Sweden)

    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

  13. Characterization of PM10 samples from Vanderbijlpark in South Africa.

    Science.gov (United States)

    Moja, Shadung J; Mnisi, Jeremiah S; Nindi, Mathews M; Okonkwo, Jonathan O

    2013-01-01

    In this study, mass concentrations and physico-chemical characteristics of suspended particulates of aerodynamic size 10 μm (PM10) were evaluated. A dual E-Sampler which combines the light scatter and the gravimetric filter methods was used. Sampling occurred between August and December 2009. Scanning Electron Microscope - Energy Dispersive Spectrometry (SEM-EDS) and Inductively Coupled Plasma 6000 were used for elemental and physical characterization. The highest daily average mass concentration measured was 0.03543 mg/m(3) and was below the international and national daily limit of 0.150 mg/m(3), as well as the strict Vaal Triangle regional standard of 0.075 μg/m(3). Relatively high daily average mass concentrations were obtained during the winter period. Concentrations of evaluated heavy metals decreased in the following order: iron (Fe) > manganese (Mn) > zinc (Zn) > copper (Cu) > vanadium (V) > titanium (Ti) > nickel (Ni) > lead (Pb). Positive correlations were established between Zn and Pb (r = 0.916); Zn and Mn (r = 0.883); Zn and V (0.984); Zn and Ni (r = 0.877); Zn and Fe (r = 0.914), which suggests common sources. However, Zn and Ti (r = 0.522); Zn and Cu (0.781) were poorly correlated.

  14. Dynamical Behaviors between the PM10 and the meteorological factor using the detrended cross-correlation analysis method

    Science.gov (United States)

    Kim, Kyungsik; Lee, Dong-In

    2013-04-01

    There is considerable interest in cross-correlations in collective modes of real data from atmospheric geophysics, seismology, finance, physiology, genomics, and nanodevices. If two systems interact mutually, that interaction gives rise to collective modes. This phenomenon is able to be analyzed using the cross-correlation of traditional methods, random matrix theory, and the detrended cross-correlation analysis method. The detrended cross-correlation analysis method was used in the past to analyze several models such as autoregressive fractionally integrated moving average processes, stock prices and their trading volumes, and taxi accidents. Particulate matter is composed of the organic and inorganic mixtures such as the natural sea salt, soil particle, vehicles exhaust, construction dust, and soot. The PM10 is known as the particle with the aerodynamic diameter (less than 10 microns) that is able to enter the human respiratory system. The PM10 concentration has an effect on the climate change by causing an unbalance of the global radiative equilibrium through the direct effect that blocks the stoma of plants and cuts off the solar radiation, different from the indirect effect that changes the optical property of clouds, cloudiness, and lifetime of clouds. Various factors contribute to the degree of the PM10 concentration. Notable among these are the land-use types, surface vegetation coverage, as well as meteorological factors. In this study, we analyze and simulate cross-correlations in time scales between the PM10 concentration and the meteorological factor (among temperature, wind speed and humidity) using the detrended cross-correlation analysis method through the removal of specific trends at eight cities in the Korean peninsula. We divide time series data into Asian dust events and non-Asian dust events to analyze the change of meteorological factors on the fluctuation of PM10 the concentration during Asian dust events. In particular, our result is

  15. Vergelijkende PM10-metingen in Nederland. deel A: laboratoriumexperimenten

    NARCIS (Netherlands)

    Arkel FTh van; Putten EM van; Bloemen HJTh; Meulen A van der; Buro Blauw BV; MON

    2002-01-01

    Automatic FAG 62I-N beta-dust monitors have been used in the National Air Quality Monitoring Network to measure PM10 (particles smaller than 10 um aerodynamic diameter) in the Netherlands. In comparing the 5-method with the European reference method (EN12341) for PM10, this automatic beta-method was

  16. 75 FR 41421 - Finding of Attainment for PM10

    Science.gov (United States)

    2010-07-16

    ... From the Federal Register Online via the Government Publishing Office ENVIRONMENTAL PROTECTION AGENCY 40 CFR Part 81 Finding of Attainment for PM10 for the Mendenhall Valley PM10 Nonattainment Area... Mendenhall Valley nonattainment area in Alaska attained the National Ambient Air Quality Standard (NAAQS) for...

  17. 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)...

  18. Dust deposition and ambient PM10 concentration in northwest China: spatial and temporal variability

    Science.gov (United States)

    Zhang, Xiao-Xiao; Sharratt, Brenton; Chen, Xi; Wang, Zi-Fa; Liu, Lian-You; Guo, Yu-Hong; Li, Jie; Chen, Huan-Sheng; Yang, Wen-Yi

    2017-02-01

    Eolian dust transport and deposition are important geophysical processes which influence global bio-geochemical cycles. Currently, reliable deposition data are scarce in central and east Asia. Located at the boundary of central and east Asia, Xinjiang Province of northwestern China has long played a strategic role in cultural and economic trade between Asia and Europe. In this paper, we investigated the spatial distribution and temporal variation in dust deposition and ambient PM10 (particulate matter in aerodynamic diameter ≤ 10 µm) concentration from 2000 to 2013 in Xinjiang Province. This variation was assessed using environmental monitoring records from 14 stations in the province. Over the 14 years, annual average dust deposition across stations in the province ranged from 255.7 to 421.4 t km-2. Annual dust deposition was greater in southern Xinjiang (663.6 t km-2) than northern (147.8 t km-2) and eastern Xinjiang (194.9 t km-2). Annual average PM10 concentration across stations in the province varied from 100 to 196 µg m-3 and was 70, 115 and 239 µg m-3 in northern, eastern and southern Xinjiang, respectively. The highest annual dust deposition (1394.1 t km-2) and ambient PM10 concentration (352 µg m-3) were observed in Hotan, which is located in southern Xinjiang and at the southern boundary of the Taklamakan Desert. Dust deposition was more intense during the spring and summer than other seasons. PM10 was the main air pollutant that significantly influenced regional air quality. Annual average dust deposition increased logarithmically with ambient PM10 concentration (R2 ≥ 0.81). While the annual average dust storm frequency remained unchanged from 2000 to 2013, there was a positive relationship between dust storm days and dust deposition and PM10 concentration across stations. This study suggests that sand storms are a major factor affecting the temporal variability and spatial distribution of dust deposition in northwest China.

  19. March 10, 2006, Transportation Conformity Rule That Addresses Requirements for Project-level Conformity Determinations in PM2.5 and PM10 Nonattainment and Maintenance Areas

    Science.gov (United States)

    This final rule, published March 10, 2006, establishes requirements for project-level conformity determinations in particulate matter (PM) 2.5 nonattainment and maintenance areas, and revises existing requirements for projects in PM10 areas.

  20. 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.

  1. Release of IL-1 β triggered by Milan summer PM10: molecular pathways involved in the cytokine release.

    Science.gov (United States)

    Bengalli, Rossella; Molteni, Elisabetta; Longhin, Eleonora; Refsnes, Magne; Camatini, Marina; Gualtieri, Maurizio

    2013-01-01

    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/cm(2) 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.

  2. The effect of different transport modes on urban PM(10) levels in two European cities.

    Science.gov (United States)

    Makra, László; Ionel, Ioana; Csépe, Zoltán; Matyasovszky, István; Lontis, Nicolae; Popescu, Francisc; Sümeghy, Zoltán

    2013-08-01

    The aim of the study is to identify transport patterns that may have an important influence on PM10 levels in two European cities, namely Szeged in East-Central Europe and Bucharest in Eastern Europe. 4-Day, 6-hourly three-dimensional (3D) backward trajectories arriving at these locations at 1200 GMT are computed using the HYSPLIT model over a 5-year period from 2004 to 2008. A k-means clustering algorithm using the Mahalanobis metric is applied in order to develop trajectory types. Two statistical indices are used to evaluate and compare exceedances of critical daily PM10 levels corresponding to the trajectory clusters. For Bucharest, the major PM10 transport can be clearly associated with air masses arriving from Central and Southern Europe, as well as the Western Mediterranean. Occasional North African dust intrusions over Romania are also found. For Szeged, Southern Europe with North Africa, Central Europe and Eastern Europe with regions over the West Siberian Plain are the most important sources of PM10. The occasional appearance of North-African-origin dust over Hungary is also detected. A statistical procedure is developed in order to separate medium- and long-range PM10 transport for both cities. Considering the 500 m arrival height, long-range transport plays a higher role in the measured PM10 concentration both for non-rainy and rainy days for Bucharest and Szeged, respectively.

  3. 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.

  4. Assessment of PM10 and heavy metals concentration in a Ceramic Cluster (NE Spain)

    Science.gov (United States)

    Belen Vicente, Ana; Pardo, Francisco; Sanfeliu, Teofilo; Bech, Joan

    2013-04-01

    Environmental pollution control is one of the most important goals in pollution risk assessment today. The aim of this study is conducting a retrospective view of the evolution of particulate matter (PM10) and heavy metals (As, Cd, Ni and Pb) at different localities in the Spanish cluster ceramic in the period between January 2007 and December 2011. The study area is in the province of Castellón. This province is a strategical area in the framework of European Union Pollution control. Approximately 80% of European ceramic tiles and ceramic frits manufacturers are concentrated in two areas, forming the so-called "Ceramics Clusters"; one is in Modena (Italy) and the other in Castellón (Spain). In this kind of areas, there are a lot of pollutants from this industry that represent an important contribution to soil contamination so it is necessary to control the air quality in them. These atmospheric particles are deposited in the ground through both dry and wet deposition. Soil is a major sink for heavy metals released into the environment. The level of pollution of soils by heavy metals depends on the retention capacity of the soil, especially on physical-chemical properties (mineralogy, grain size, organic matter) affecting soil particle surfaces and also on the chemical properties of the metal. The most direct consequences on the ground of air pollutants are acidification, salinization and the pollutions that can cause heavy metals as components of suspended particulate matter. For this purpose the levels of PM10 in ambient air and the corresponding annual and weekly trend were calculated. The results of the study show that the PM10 and heavy metals concentrations are below the limit values recommended by European Union Legislation for the protection of human health and ecosystems in the study period. There is an important reduction of them from 2009 in all control stations due to the economic crisis. References Moral, R., Gilkes, R.J., Jordán, M.M., 2005

  5. Seasonal variation of PM10 chemical constituents in different French urban environments

    Science.gov (United States)

    Salameh, Dalia; Golly, Benjamin; Besombes, Jean Luc; Alleman, Laurent; Favez, Olivier; Jaffrezo, Jean Luc

    2016-04-01

    Particulate matter (PM10, with a diameter less than 10 μm) is a heterogeneous mixture of natural and anthropogenic components including organic and elemental carbon (OC, and EC), sulfates, nitrates, ammonium, mineral dust, trace elements, seasalt, which has been linked to adverse impact on human health, visibility, and climate change. Atmospheric PM concentration and composition can vary widely due to different climatic conditions and local features such as anthropogenic source types, emission rates and dispersion patterns. Moreover, the contribution of natural sources (e.g. seasalt and dust) varies from one region to another. However, a fundamental step towards a better understanding and identification of the sources of PM10 is constituted by the study of aerosol chemical composition. Moreover, in order to define cost effective emission abatement strategies, research studies to interpret the variability of PM10 levels and components and to identify the main emission sources influencing ambient air PM10 levels is still needed. In a national context of a better understanding of PM composition and sources, and therefore the implementation of efficient reduction plans of PM in France, various monitoring campaigns were carried out recently within different air quality programs, where PM10 filter samples were collected on a 24 hour basis at various type of French sites (e.g. urban, rural, etc.,), located in different urban environments. An extensive chemical characterization of PM10 composition at these sites was performed, and a large range of analytical techniques was used to determine the concentrations of various chemical species which included the analysis of OC, and EC, major ionic species (SO42-, NO3-, Cl-, NH4+, K+, Na+, Mg2+, and Ca2+), metals and trace elements (e.g. Al, Ca, Cu, Fe, K, Mg, Mn, Na, Ni, Pb, V, Zn, etc.,), and organic compounds (e.g. sugars, polyols, PAH, methyl PAH, sulfur PAH, alkanes, hopanes, and methoxyphenols). The seasonal and spatial

  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. Flow Cytometric Analysis of Particle-bound Bet v 1 Allergen in PM10.

    Science.gov (United States)

    Süring, Katrin; Bach, Sabine; Höflich, Conny; Straff, Wolfgang

    2016-11-19

    Flow cytometry is a method widely used to quantify suspended solids such as cells or bacteria in a size range from 0.5 to several tens of micrometers in diameter. In addition to a characterization of forward and sideward scatter properties, it enables the use of fluorescent labeled markers like antibodies to detect respective structures. Using indirect antibody staining, flow cytometry is employed here to quantify birch pollen allergen (precisely Bet v 1)-loaded particles of 0.5 to 10 µm in diameter in inhalable particulate matter (PM10, particle size ≤10 µm in diameter). PM10 particles may act as carriers of adsorbed allergens possibly transporting them to the lower respiratory tract, where they could trigger allergic reactions. So far the allergen content of PM10 has been studied by means of enzyme linked immunosorbent assays (ELISAs) and scanning electron microscopy. ELISA measures the dissolved and not the particle-bound allergen. Compared to scanning electron microscopy, which can visualize allergen-loaded particles, flow cytometry may additionally quantify them. As allergen content of ambient air can deviate from birch pollen count, allergic symptoms might perhaps correlate better with allergen exposure than with pollen count. In conjunction with clinical data, the presented method offers the opportunity to test in future experiments whether allergic reactions to birch pollen antigens are associated with the Bet v 1 allergen content of PM10 particles >0.5 µm.

  8. Ambient particulate matter induces an exacerbation of airway inflammation in experimental asthma: role of interleukin-33.

    Science.gov (United States)

    Shadie, A M; Herbert, C; Kumar, R K

    2014-08-01

    High levels of ambient environmental particulate matter (PM10 i.e. interleukin (IL)-33 in airway tissues and an increased concentration of IL-33 in bronchoalveolar lavage fluid. Administration of a monoclonal neutralizing anti-mouse IL-33 antibody prior to delivery of particulates significantly suppressed the inflammatory response induced by Sydney PM10, as well as the levels of associated proinflammatory cytokines in lavage fluid. We conclude that IL-33 plays a key role in driving airway inflammation in this novel experimental model of an acute exacerbation of chronic allergic asthma induced by exposure to PM10.

  9. Spatial Temporal Modelling of Particulate Matter for Health Effects Studies

    Science.gov (United States)

    Hamm, N. A. S.

    2016-10-01

    Epidemiological studies of the health effects of air pollution require estimation of individual exposure. It is not possible to obtain measurements at all relevant locations so it is necessary to predict at these space-time locations, either on the basis of dispersion from emission sources or by interpolating observations. This study used data obtained from a low-cost sensor network of 32 air quality monitoring stations in the Dutch city of Eindhoven, which make up the ILM (innovative air (quality) measurement system). These stations currently provide PM10 and PM2.5 (particulate matter less than 10 and 2.5 m in diameter), aggregated to hourly means. The data provide an unprecedented level of spatial and temporal detail for a city of this size. Despite these benefits the time series of measurements is characterized by missing values and noisy values. In this paper a space-time analysis is presented that is based on a dynamic model for the temporal component and a Gaussian process geostatistical for the spatial component. Spatial-temporal variability was dominated by the temporal component, although the spatial variability was also substantial. The model delivered accurate predictions for both isolated missing values and 24-hour periods of missing values (RMSE = 1.4 μg m-3 and 1.8 μg m-3 respectively). Outliers could be detected by comparison to the 95% prediction interval. The model shows promise for predicting missing values, outlier detection and for mapping to support health impact studies.

  10. Enhanced PM10 bounded PAHs from shipping emissions

    Science.gov (United States)

    Pongpiachan, S.; Hattayanone, M.; Choochuay, C.; Mekmok, R.; Wuttijak, N.; Ketratanakul, A.

    2015-05-01

    Earlier studies have highlighted the importance of maritime transport as a main contributor of air pollutants in port area. The authors intended to investigate the effects of shipping emissions on the enhancement of PM10 bounded polycyclic aromatic hydrocarbons (PAHs) and mutagenic substances in an industrial area of Rayong province, Thailand. Daily PM10 speciation data across two air quality observatory sites in Thailand during 2010-2013 were collected. Diagnostic binary ratios of PAH congeners, analysis of variances (ANOVA), and principal component analysis (PCA) were employed to evaluate the enhanced genotoxicity of PM10 during the docking period. Significant increase of PAHs and mutagenic index (MI) of PM10 were observed during the docking period in both sampling sites. Although stationary sources like coal combustions from power plants and vehicular exhausts from motorway can play a great role in enhancing PAH concentrations, regulating shipping emissions from diesel engine in the port area like Rayong is predominantly crucial.

  11. 78 FR 47259 - Approval and Promulgation of Implementation Plans; Washington: Thurston County Second 10-Year PM10

    Science.gov (United States)

    2013-08-05

    ... particulate matter with an aerodynamic diameter less than or equal to a nominal ] 10 micrometers (PM 10 ). The... Washington State Department of Ecology (Ecology) regulatory changes that strengthen the control measures... Standard (NAAQS) on August 7, 1987 (52 FR 29383). Ecology and ORCAA worked with the communities of...

  12. 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.

  13. A comparative study for results obtained using biomonitors and PM10 collectors in Sado Estuary.

    Science.gov (United States)

    Costa, C J; Marques, A P; Freitas, M C; Reis, M A; Oliveira, O R

    2002-01-01

    In 1996 a program was started, financed by the Environmental Ministry of Portugal and IAEA, aiming to study the inorganic atmospheric pollutant dispersion in Sado Estuary. Gent PM10 air samplers were used for air particulate matter sampling. Three sampling sites were chosen, forming a triangle around the fuel power station of Setúbal. Transplants of Parmelia sulcata Taylor were suspended in nylon bags within a rectangle 15 km wide and 25 km long on a 2.5 x 2.5 km grid. Two sets of four transplants were hung in each of the 47 locations, one set facing the wind and the other set opposing the wind. The transplants were suspended in December 1997 for a 1-year period; every 3 months, one transplant of each set was collected. Both lichen transplants and PM10 filters were analysed by INAA and PIXE. A comparative study of results obtained for the two sampling procedures is presented in this work.

  14. 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

  15. A comparison of model performance between ENVI-met and Austal2000 for particulate matter

    Science.gov (United States)

    Paas, Bastian; Schneider, Christoph

    2016-11-01

    This study evaluates the performance of the German dispersion model Austal2000 according to the technical instructions on air quality control (TA Luft), a Lagrangian model, in four real-world particulate matter test cases against ENVI-met, a microclimate model featuring a pollutant dispersion module that bases on the Eularian approach. The four test cases include different traffic induced area sources of PM10, complex terrain with varying ground surfaces and different urban obstacles i.e. buildings. A comparison is made between the calculated concentrations of both models. Furthermore, predictions are compared with field data. Particle measurements are conducted with an optical particle counter. For evaluation, quantile-quantile plots as well as further performance measures i.e. the fractional bias and the robust highest concentration that focuses on the important high-end concentrations are applied. Both models underpredicted observed PM(0.25;10) concentrations for all test cases. All datasets show that predictions of both simulation tools were closer to field observations in the high-end concentration range. Model calculation results show mostly better agreement to observations under neutral stability classes of the atmosphere. With the exception of ENVI-met in one test case predictions of simulation runs of both models lead to results closer to observations when initiated with local meteorological measurement data, where wind speed as one of the key drivers of dispersion models was lower. In almost all of the test cases, Austal2000's predictions were closer to the field observations than those of ENVI-met. The latter model undercut predicted PM10 concentrations of Austal2000 by the factor of around two. This evaluation indicates that Austal2000 is the stronger model compared with ENVI-met considering the distribution of PM10 in complex and urban terrain.

  16. 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/m(3) (1965.11 μg/m(3)) and 1152.35 μg/m(3) (1510.34 μg/m(3)), 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.

  17. Long-term Exposure to PM10 and NO2 in Association with Lung Volume and Airway Resistance in the MAAS Birth Cohort

    Science.gov (United States)

    Agius, Raymond M.; de Vocht, Frank; Lindley, Sarah; Gerrard, William; Lowe, Lesley; Belgrave, Danielle; Custovic, Adnan; Simpson, Angela

    2013-01-01

    Background: Findings from previous studies on the effects of air pollution exposure on lung function during childhood have been inconsistent. A common limitation has been the quality of exposure data used, and few studies have modeled exposure longitudinally throughout early life. Objectives: We sought to study the long-term effects of exposure to particulate matter with an aerodynamic diameter ≤ 10 μm (PM10) and to nitrogen dioxide (NO2) on specific airway resistance (sRaw) and forced expiratory volume in 1 sec (FEV1) before and after bronchodilator treatment. Subjects were from the Manchester Asthma and Allergy Study (MAAS) birth cohort (n = 1,185). Methods: Spirometry was performed during clinic visits at ages 3, 5, 8, and 11 years. Individual-level PM10 and NO2 exposures were estimated from birth to 11 years of age through a microenvironmental exposure model. Longitudinal and cross-sectional associations were estimated using generalized estimating equations and multivariable linear regression models. Results: Lifetime exposure to PM10 and NO2 was associated with significantly less growth in FEV1 (percent predicted) over time, both before (–1.37%; 95% CI: –2.52, –0.23 for a 1-unit increase in PM10 and –0.83%; 95% CI: –1.39, –0.28 for a 1-unit increase in NO2) and after bronchodilator treatment (–3.59%; 95% CI: –5.36, –1.83 and –1.20%; 95% CI: –1.97, –0.43, respectively). We found no association between lifetime exposure and sRaw over time. Cross-sectional analyses of detailed exposure estimates for the summer and winter before 11 years of age and lung function at 11 years indicated no significant associations. Conclusions: Long-term PM10 and NO2 exposures were associated with small but statistically significant reductions in lung volume growth in children of elementary-school age. Citation: Mölter A, Agius RM, de Vocht F, Lindley S, Gerrard W, Lowe L, Belgrave D, Custovic A, Simpson A. 2013. Long-term exposure to PM10 and NO2 in

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

    Science.gov (United States)

    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

  19. Analysis of the possible measurement errors for the PM10 concentration measurement at Gosan, Korea

    Science.gov (United States)

    Shin, S.; Kim, Y.; Jung, C.

    2010-12-01

    The reliability of the measurement of ambient trace species is an important issue, especially, in a background area such as Gosan in Jeju Island, Korea. In a previous episodic study in Gosan (NIER, 2006), it was found that the measured PM10 concentration by the β-ray absorption method (BAM) was higher than the gravimetric method (GMM) and the correlation between them was low. Based on the previous studies (Chang et al., 2001; Katsuyuki et al., 2008) two probable reasons for the discrepancy are identified; (1) negative measurement error by the evaporation of volatile ambient species at the filter in GMM such as nitrate, chloride, and ammonium and (2) positive error by the absorption of water vapor during measurement in BAM. There was no heater at the inlet of BAM in Gosan during the sampling period. In this study, we have analyzed negative and positive error quantitatively by using a gas/particle equilibrium model SCAPE (Simulating Composition of Atmospheric Particles at Equilibrium) for the data between May 2001 and June 2008 with the aerosol and gaseous composition data. We have estimated the degree of the evaporation at the filter in GMM by comparing the volatile ionic species concentration calculated by SCAPE at thermodynamic equilibrium state under the meteorological conditions during the sampling period and mass concentration measured by ion chromatography. Also, based on the aerosol water content calculated by SCAPE, We have estimated quantitatively the effect of ambient humidity during measurement in BAM. Subsequently, this study shows whether the discrepancy can be explained by some other factors by applying multiple regression analyses. References Chang, C. T., Tsai, C. J., Lee, C. T., Chang, S. Y., Cheng, M. T., Chein, H. M., 2001, Differences in PM10 concentrations measured by β-gauge monitor and hi-vol sampler, Atmospheric Environment, 35, 5741-5748. Katsuyuki, T. K., Hiroaki, M. R., and Kazuhiko, S. K., 2008, Examination of discrepancies between beta

  20. Estimación de Factores de Emisión de PM10 y PM2.5, en Vías Urbanas en Mexicali, Baja California, México Estimation of PM10 and PM2.5 Emission Factors, in City Roadways of Mexicali, Baja California, Mexico

    Directory of Open Access Journals (Sweden)

    Lourdes M Meza

    2010-01-01

    Full Text Available El objetivo de esta investigación es estimar los factores de emisión (FE que permitan valorar la cantidad de material particulado de las vías pavimentadas y no pavimentadas de la ciudad de Mexicali, Baja California, México. Se empleó el modelo AP-42 de la US EPA, bajo un diseño estadístico al azar, correspondiente a 60 sitios de muestreo en un mapa georeferenciado con proyección UTM 11 Norte. Se obtuvieron los valores de carga y porcentaje de sedimento menor a 75 µm en laboratorio, velocidad y número de vehículos, en campo. La estimación de los FE corresponden a 0.92 Kg. PM10/VKT y 0.73 Kg. PM2.5 /VKT en vías pavimentadas y 2.33 Kg. PM10/VKT y 0.58 Kg. PM2.5 /VKT en vías no pavimentadas, respectivamente. El valor de FE propio determina la cantidad de material particulado a suspenderse y la relación de los factores de emisión (PM10 y PM2.5 en ambas vías indica que es necesario hacer mantenimiento y control de flujo de vehículos.The objective of this research was to estimate the emission factors (EF for evaluating the amount of particulate matter from paved and unpaved roads in the city of Mexicali, Baja California, Mexico. The model used was AP-42 of the U.S. EPA, under a random statistical design, corresponding to 60 sampling sites in a georeferenced map UTM 11 North projection. Load values were obtained and percent of sediment less than 75 µm in the laboratory, speed and number of vehicles in the field. The estimated FE correspond to 0.92 kg PM10/VKT and 0.73 kg PM2.5 / VKT on paved road and 2.33 kg PM10/VKT and 0.58 kg PM2.5 / VKT on unpaved roads, respectively. The value of FE determines the amount of particulate matter to be suspended and the relation of the emission factors (PM10 and PM2.5 in both roadways indicate that maintenance and control of vehicle flux may be needed.

  1. Source apportionment of atmospheric PM10 in Changchun by UNMIX%应用UNMIX模型解析长春市大气中PM10来源

    Institute of Scientific and Technical Information of China (English)

    王菊; 张悦悦; 金美英; 李翠玲; 房春生

    2014-01-01

    PM10is an important pollutant due to its adverse effects on visibility, climate change, and human health. To identify the regional pollution condition and develop effective control strategies to manage and maintain the urban air quality, it is important to study the pollution sources of PM10in the atmosphere. PM10 samples were collected at Jingyue Park, Labour Park, Clivia Park, sports academy, Children Park, bus hospital, business school and Post and Telecommunications College in Changchun during 2011 September to 2012 February using KC-120 PM10/TSP sampler (Application Research Institute of Laoshan Mountain in Qingdao) for the purpose to obtain the different source component and contributions of PM10. There are 40 samples were collected. After pretreatment, the samples of Be, V, Cr, Mn, Co, Ni, Cu, Zn, Mo, Ag, Cd, Sb, Ba, Tl, Pb, Na, Mg, K, Ca, a total of 19 kinds of inorganic elements were analyzed by ICP-MS. UNMIX method was used to qualitatively analyze the data that have standardized to study the sources of PM10in Changchun. Among them, Min Rsq=0.89 (89% of the data variance can be explained by the model), Min Sig/Noise=2.50. The result shows that there are three main sources of PM10 in Changchun : coal dust or industrial dust, vehicle exhaust or soil dust, the city’s comprehensive dust and other unknow dust source, the contribution rate were 19.5%, 13.1%, 67.4%, respectively. Correlation analysis was carried out on these 3 sources, the coefficient is not the theoretical value of 0, but from -0.553 to 0.345, source 1 and source 3 have the largest correlation was 0.553, followed by source 1 and source 2 for the 0.345. It shows that the PM10pollution in Changchun is the result of many factors. The predicted values of UNMIX were compared with the measured values and the result shows a linear positive correlationstatistically between the predicted values and the measured values with r2=0.98, and ther-Pearson is 0.713-0.980 for each species.%大气中可吸入颗粒物(PM

  2. Chemical composition, structural properties, and source apportionment of organic macromolecules in atmospheric PM10 in 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 (PM10) 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 PM10, 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 PM10 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 PM10. 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. Artificial neural network models for prediction of daily fine particulate matter concentrations in Algiers.

    Science.gov (United States)

    Chellali, M R; Abderrahim, H; Hamou, A; Nebatti, A; Janovec, J

    2016-07-01

    Neural network (NN) models were evaluated for the prediction of suspended particulates with aerodynamic diameter less than 10-μm (PM10) concentrations. The model evaluation work considered the sequential hourly concentration time series of PM10, which were measured at El Hamma station in Algiers. Artificial neural network models were developed using a combination of meteorological and time-scale as input variables. The results were rather satisfactory, with values of the coefficient of correlation (R (2)) for independent test sets ranging between 0.60 and 0.85 and values of the index of agreement (IA) between 0.87 and 0.96. In addition, the root mean square error (RMSE), the mean absolute error (MAE), the normalized mean squared error (NMSE), the absolute relative percentage error (ARPE), the fractional bias (FB), and the fractional variance (FS) were calculated to assess the performance of the model. It was seen that the overall performance of model 3 was better than models 1 and 2.

  4. Urban enhancement of PM10 bioaerosol tracers relative to background locations in the Midwestern United States

    Science.gov (United States)

    Rathnayake, Chathurika M.; Metwali, Nervana; Baker, Zach; Jayarathne, Thilina; Kostle, Pamela A.; Thorne, Peter S.; O'Shaughnessy, Patrick T.; Stone, Elizabeth A.

    2016-05-01

    Bioaerosols are well-known immune-active particles that exacerbate respiratory diseases. Human exposures to bioaerosols and their resultant health impacts depend on their ambient concentrations, seasonal and spatial variation, and copollutants, which are not yet widely characterized. In this study, chemical and biological tracers of bioaerosols were quantified in respirable particulate matter (PM10) collected at three urban and three background sites in the Midwestern United States across four seasons in 2012. Endotoxins from Gram-negative bacteria (and a few Gram-positive bacteria), water-soluble proteins, and tracers for fungal spores (fungal glucans, arabitol, and mannitol) were ubiquitous and showed significant seasonal variation and dependence on temperature. Fungal spores were elevated in spring and peaked in summer, following the seasonal growing cycle, while endotoxins peaked in autumn during the row crop harvesting season. Paired comparisons of bioaerosols in urban and background sites revealed significant urban enhancements in PM10, fungal glucans, endotoxins, and water-soluble proteins relative to background locations, such that urban populations have a greater outdoor exposure to bioaerosols. These bioaerosols contribute, in part, to the urban excesses in PM10. Higher bioaerosol mass fractions in urban areas relative to background sites indicate that urban areas serve as a source of bioaerosols. Similar urban enhancements in water-soluble calcium and its correlation with bioaerosol tracers point toward windblown soil as an important source of bioaerosols in urban areas.

  5. 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

  6. 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.

  7. 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

  8. AQA-PM: Extension of the Air-Quality Model For Austria with Satellite based Particulate Matter Estimates

    Science.gov (United States)

    Hirtl, Marcus; Mantovani, Simone; Krüger, Bernd C.; Triebnig, Gerhard; Flandorfer, Claudia

    2013-04-01

    Air quality is a key element for the well-being and quality of life of European citizens. Air pollution measurements and modeling tools are essential for assessment of air quality according to EU legislation. The responsibilities of ZAMG as the national weather service of Austria include the support of the federal states and the public in questions connected to the protection of the environment in the frame of advisory and counseling services as well as expert opinions. The Air Quality model for Austria (AQA) is operated at ZAMG in cooperation with the University of Natural Resources and Life Sciences in Vienna (BOKU) by order of the regional governments since 2005. AQA conducts daily forecasts of gaseous and particulate (PM10) air pollutants over Austria. In the frame of the project AQA-PM (funded by FFG), satellite measurements of the Aerosol Optical Thickness (AOT) and ground-based PM10-measurements are combined to highly-resolved initial fields using regression- and assimilation techniques. For the model simulations WRF/Chem is used with a resolution of 3 km over the alpine region. Interfaces have been developed to account for the different measurements as input data. The available local emission inventories provided by the different Austrian regional governments were harmonized and used for the model simulations. An episode in February 2010 is chosen for the model evaluation. During that month exceedances of PM10-thresholds occurred at many measurement stations of the Austrian network. Different model runs (only model/only ground stations assimilated/satellite and ground stations assimilated) are compared to the respective measurements. The goal of this project is to improve the PM10-forecasts for Austria with the integration of satellite based measurements and to provide a comprehensive product-platform.

  9. Receptor model-based source apportionment of particulate pollution in Hyderabad, India.

    Science.gov (United States)

    Guttikunda, Sarath K; Kopakka, Ramani V; Dasari, Prasad; Gertler, Alan W

    2013-07-01

    Air quality in Hyderabad, India, often exceeds the national ambient air quality standards, especially for particulate matter (PM), which, in 2010, averaged 82.2 ± 24.6, 96.2 ± 12.1, and 64.3 ± 21.2 μg/m(3) of PM10, at commercial, industrial, and residential monitoring stations, respectively, exceeding the national ambient standard of 60 μg/m(3). In 2005, following an ordinance passed by the Supreme Court of India, a source apportionment study was conducted to quantify source contributions to PM pollution in Hyderabad, using the chemical mass balance (version 8.2) receptor model for 180 ambient samples collected at three stations for PM10 and PM2.5 size fractions for three seasons. The receptor modeling results indicated that the PM10 pollution is dominated by the direct vehicular exhaust and road dust (more than 60%). PM2.5 with higher propensity to enter the human respiratory tracks, has mixed sources of vehicle exhaust, industrial coal combustion, garbage burning, and secondary PM. In order to improve the air quality in the city, these findings demonstrate the need to control emissions from all known sources and particularly focus on the low-hanging fruits like road dust and waste burning, while the technological and institutional advancements in the transport and industrial sectors are bound to enhance efficiencies. Andhra Pradesh Pollution Control Board utilized these results to prepare an air pollution control action plan for the city.

  10. 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.

  11. Effect of chimneys on indoor air concentrations of PM10 and benzo(a)pyrene in Xuan Wei, China

    Energy Technology Data Exchange (ETDEWEB)

    Tian, L.W.; Lan, Q.; Yang, D.; He, X.Z.; Yu, I.T.S.; Hammond, S.K. [Chinese University of Hong Kong, Hong Kong (China). School for Public Health

    2009-07-15

    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 {mu} m or less (PM10) 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 mu m or less (PM10) by 66% and of benzo(a)pyrene (BaP) by 84%. The average BaP content of PM10 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 PM10 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.

  12. Preliminary PM2.5 and PM10 fractions source apportionment complemented by statistical accuracy determination

    Directory of Open Access Journals (Sweden)

    Samek Lucyna

    2016-03-01

    Full Text Available Samples of PM10 and PM2.5 fractions were collected between the years 2010 and 2013 at the urban area of Krakow, Poland. Numerous types of air pollution sources are present at the site; these include steel and cement industries, traffic, municipal emission sources and biomass burning. Energy dispersive X-ray fluorescence was used to determine the concentrations of the following elements: Cl, K, Ca, Ti, Mn, Fe, Ni, Cu, Zn, Br, Rb, Sr, As and Pb within the collected samples. Defining the elements as indicators, airborne particulate matter (APM source profiles were prepared by applying principal component analysis (PCA, factor analysis (FA and multiple linear regression (MLR. Four different factors identifying possible air pollution sources for both PM10 and PM2.5 fractions were attributed to municipal emissions, biomass burning, steel industry, traffic, cement and metal industry, Zn and Pb industry and secondary aerosols. The uncertainty associated with each loading was determined by a statistical simulation method that took into account the individual elemental concentrations and their corresponding uncertainties. It will be possible to identify two or more sources of air particulate matter pollution for a single factor in case it is extremely difficult to separate the sources.

  13. Homogenized thermal conduction model for particulate foods

    Energy Technology Data Exchange (ETDEWEB)

    Chinesta, Francisco [Laboratoire de mecanique des systemes et des procedes, Ecole nationale superieure d' arts et metiers, 151 boulevard de l' Hopital, 75013, Paris (France); Torres, Rafael [Departamento de Ingenieria Mecanica, Universidad Politecnica de Valencia, Camino de Vera s/n. 46071, Valencia (Spain); Ramon, Antonio [AIMPLAS, Gustave Eiffel 4, 46980 Paterna, Valencia (Spain); Rodrigo, Mari Carmen; Rodrigo, Miguel [Instituto de Agroquimica y Tecnologia de Alimentos, Consejo Superior de Investigaciones Cientificas, Apartado de correos 73, 46100, Burjasot (Spain)

    2002-12-01

    This paper deals with the definition of an equivalent thermal conductivity for particulate foods. An homogenized thermal model is used to asses the effect of particulate spatial distribution and differences in thermal conductivities. We prove that the spatial average of the conductivity can be used in an homogenized heat transfer model if the conductivity differences among the food components are not very large, usually the highest conductivity ratio between the foods components is lower than 5. In the general case we propose to use a standard spatial homogenization procedure. Although the heterogeneity give rise to an anisotropic heat transfer behaviour, this effect is negligible when the food particles are randomly distributed. When we use pre-mixed particulate foods a statistical average can be defined from a small number of possible particle arrangements. (authors)

  14. Assessment of population exposure to particulate matter pollution in Chongqing, China.

    Science.gov (United States)

    Wang, Shuxiao; Zhao, Yu; Chen, Gangcai; Wang, Fei; Aunan, Kristin; Hao, Jiming

    2008-05-01

    To determine the population exposure to PM(10) in Chongqing, China, we developed an indirect model by combining information on the time activity patterns of various demographic subgroups with estimates of the PM(10) concentrations in different microenvironments (MEs). The spatial and temporal variations of the exposure to PM(10) were illustrated in a geographical information system (GIS). The population weighted exposure (PWE) for the entire population was 229, 155 and 211 microg/m(3), respectively, in winter, summer and as the annual average. Indoor PM(10) level at home was the largest contributor to the PWE, especially for the rural areas where high pollution levels were found due to solid fuels burning. Elder people had higher PM(10) exposure than adults and youth, due to more time spent in indoor MEs. The highest health risk due to particulate was found in the city zone and northeast regions, suggesting that pollution abatement should be prioritized in these areas.

  15. Particulate air pollution and daily mortality in Bangkok

    Science.gov (United States)

    Vajanapoom, Nitaya

    1999-10-01

    This study was designed to assess the association between PM10 and visibility, and to determine whether the variations in daily mortality were associated with fluctuations in daily PM10 and visibility levels, in Bangkok during 1992-1997. Mortality data were extracted from death certificates, provided by the Bureau of Registration Administration. PM10 data were obtained from three monitoring stations operated by the Pollution Control Department, and visibility data were obtained from two monitoring stations operated by the Department of Meteorology. PM10 was regressed on visibility using multiple regression. Inverse and significant association was found between PM10 and visibility, after controlling for relative humidity, minimum temperature, and winter indicator variable. Positive association was found between total mortality and PM10, in Poisson regression model while controlling for long-term trends, season, and variations in weather. Five-day moving average of PM10 was significantly and most strongly associated with total mortality from non-external causes; a 2.3% (95% CI = 1.3, 3.3) increase in mortality was estimated for one interquartile range (30 μg/m3) increase in PM10. When PM10 was replaced with visibility, a 1.3% (95% CI = 0.4, 2.3) increase in mortality was estimated for one interquartile range (1.5 km) decrease in visibility. Lagged effects up to three day lags prior to death with similar patterns were observed for both PM10 and visibility. The findings suggest the possibility of using visibility as a surrogate for fine particulate matter. This approach is feasible because visibility data are usually routinely recorded at airports throughout the world. On the other hand, given the large number of population living in Bangkok, the small but significant percent excess deaths attributable to airborne particle exposure is an important public health concern.

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

    Directory of Open Access Journals (Sweden)

    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.

  17. 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

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

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    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. 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.

  20. Analysis of PM2.5 and PM10 in the atmosphere of Mexico City during 2000-2002.

    Science.gov (United States)

    Vega, Elizabeth; Reyes, Elizabeth; Ruiz, Hugo; García, José; Sánchez, Gabriela; Martínez-Villa, Gerardo; González, Uriel; Chow, Judith C; Watson, John G

    2004-07-01

    During the last 10 years, high atmospheric concentrations of airborne particles recorded in the Mexico City metropolitan area have caused concern because of their potential harmful effects on human health. Four monitoring campaigns have been carried out in the Mexico City metropolitan area during 2000-2002 at three sites: (1) Xalostoc, located in an industrial region; (2) La Merced, located in a commercial area; and (3) Pedregal, located in a residential area. Results of gravimetric and chemical analyses of 330 samples of particulate matter (PM) with an aerodynamic diameter less than 2.5 microm (PM2.5) and PM with an aerodynamic diameter less than 10 microm (PM10) indicate that (1) PM2.5/PM10 average ratios were 0.42, 0.46, and 0.52 for Xalostoc, La Merced, and Pedregal, respectively; (2) the highest PM2.5 and PM10 concentrations were found at the industrial site; (3) PM2.5 and PM10 concentrations were lower at nighttime; (4) PM2.5 and PM10 spatial averages concentrations were 35 and 76 microg/m3, respectively; and (5) when the PM2.5 standard was exceeded, nitrate, sulfate, ammonium, organic carbon, and elemental carbon concentrations were high. Twenty-four hour averaged PM2.5 concentrations in Mexico City and Sao Paulo were similar to those recorded in the 1980s in Los Angeles. PM10 concentrations were comparable in Sao Paulo and Mexico City but 3-fold lower than those found in Santiago.

  1. PM10 Emission, Sandblasting Efficiency and Vertical Entrainment During Successive Wind-Erosion Events: A Wind-Tunnel Approach

    Science.gov (United States)

    Panebianco, J. E.; Mendez, M. J.; Buschiazzo, D. E.

    2016-11-01

    A wind-tunnel experiment was carried out to measure saltation and PM10 (particulate matter with a mean aerodynamic diameter less than 10 μm) emission during three successive wind-erosion events on three different surfaces: an unpaved road and two different textured agricultural soils: a sandy loam and a loamy sand. The total horizontal mass transport ( Q) and the PM10 emissions ( E), were measured at two friction velocities: 0.2 and 0.3 m s^{-1}. Results indicated that Q decreased rapidly in time over all surfaces, as the Q values were only 13-17 % of the amount registered during the first event. Similar trends were detected at both wind speeds. However, E values showed a lower relative decrease in the second wind-erosion event at the lower wind speed (25-51 % of the initial amounts) than at the higher wind speed (19-28 % of the initial amounts) over all surfaces. After the second wind-erosion event, both Q and E values remained constant except for the unpaved road, where both values decreased by 50 % in relation to the second event. Emission from the agricultural soils was sustained over successive wind-erosion events even when saltation was low. The sandblasting efficiency for PM10 emission was found to be higher for agricultural soils than for the unpaved road, and increased over wind-erosion events particularly in agricultural soils, and this was also reflected in the PM10 vertical entrainment. Results suggest that sandblasting efficiency and PM10 vertical distribution can change among wind-erosion events even for the same surface. The saltation fraction to PM10 content ratio can be a simple indicator of the general behaviour of an emitting surface during successive wind-erosion events.

  2. PM10 Emission, Sandblasting Efficiency and Vertical Entrainment During Successive Wind-Erosion Events: A Wind-Tunnel Approach

    Science.gov (United States)

    Panebianco, J. E.; Mendez, M. J.; Buschiazzo, D. E.

    2016-06-01

    A wind-tunnel experiment was carried out to measure saltation and PM10 (particulate matter with a mean aerodynamic diameter less than 10 μ m) emission during three successive wind-erosion events on three different surfaces: an unpaved road and two different textured agricultural soils: a sandy loam and a loamy sand. The total horizontal mass transport (Q) and the PM10 emissions (E), were measured at two friction velocities: 0.2 and 0.3 m {s}^{-1} . Results indicated that Q decreased rapidly in time over all surfaces, as the Q values were only 13-17 % of the amount registered during the first event. Similar trends were detected at both wind speeds. However, E values showed a lower relative decrease in the second wind-erosion event at the lower wind speed (25-51 % of the initial amounts) than at the higher wind speed (19-28 % of the initial amounts) over all surfaces. After the second wind-erosion event, both Q and E values remained constant except for the unpaved road, where both values decreased by 50 % in relation to the second event. Emission from the agricultural soils was sustained over successive wind-erosion events even when saltation was low. The sandblasting efficiency for PM10 emission was found to be higher for agricultural soils than for the unpaved road, and increased over wind-erosion events particularly in agricultural soils, and this was also reflected in the PM10 vertical entrainment. Results suggest that sandblasting efficiency and PM10 vertical distribution can change among wind-erosion events even for the same surface. The saltation fraction to PM10 content ratio can be a simple indicator of the general behaviour of an emitting surface during successive wind-erosion events.

  3. Air quality and health impact of PM10 and EC in the city of Rotterdam, the Netherlands in 1985-2008

    NARCIS (Netherlands)

    Keuken, M.; Zandveld, P.Y.J.; Elshout, S. van den; Janssen, N.A.H.; Hoek, G.

    2011-01-01

    A health impact assessment (HIA) of PM10 and elemental carbon (EC) was performed for the period 1985-2008 in the city of Rotterdam. The spatial distribution of the concentrations was modeled by the URBIS model. The modeling results for 2008 were validated by PM10 and EC measurements at various locat

  4. Particle reduction strategies - PAREST. Evaluation of emission reduction scenarios using chemical transport calculations. PM10- and PM2.5-reduction potentials by package of measures for further immission reduction in Germany. Sub-report.; Strategien zur Verminderung der Feinstaubbelastung - PAREST. Bewertung von Emissionsminderungsszenarien mit Hilfe chemischer Transportberechnungen. PM10- und PM2,5-Minderungspotenziale von Massnahmenpaketen zur weiteren Reduzierung der Immissionen in Deutschland. Teilbericht

    Energy Technology Data Exchange (ETDEWEB)

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

    2013-06-15

    This report documents the effects of additional emission control measures the PM10 and PM2.5 air quality in Germany (PM = particulate matter). The immission effects of the planned measures were calculated with the Chemistry-Aerosol-Transport Model REM CALGRID (RCG). [German] Dieser Bericht dokumentiert die Auswirkungen zusaetzlicher emissionsmindernder Massnahmen auf die PM10 und PM2.5-Luftqualitaet in Deutschland. Die immissionsseitigen Auswirkungen der geplanten Massnahmen wurden auf der Basis von Berechnungen mit dem Chemie-Aerosol-Transportmodell REM-CALGRID (RCG) bestimmt. Grundlage der Szenarienrechnungen sind die im Rahmen des F and E-Vorhabens entwickelten Emissionsabschaetzungen, die die Aenderung der Emissionen aufgrund von technischen oder nicht-technischen Massnahmen beschreiben. Die den Berechnungen zugrunde liegende horizontale Aufloesung betraegt 0.125 Laenge und 0.0625 Breite oder circa 7 km x 8 km. Das meteorologische Referenzjahr ist 2005.

  5. Intraurban-scale dispersion modelling of particulate matter concentrations: Applications for exposure estimates in cohort studies

    Science.gov (United States)

    Gaines Wilson, J.; Zawar-Reza, Peyman

    Epidemiological studies relating air pollution to health effects often estimate personal exposure to particulate matter using values from a central ambient monitoring site as a proxy. However, when there is a significant amount of variation in particulate concentrations across an urban area, the use of central sites may result in exposure misclassification that induces error in long-term cohort epidemiological study designs. When spatially dense monitoring data are not available, advanced dispersion models may offer one solution to the problem of accurately characterising intraurban particulate concentrations across an area. This study presents results from an intraurban assessment of The Air Pollution Model (TAPM)—an Integrated Meteorological-Emission (IME) Model. Particles less than 10 μm in aerodynamic diameter (PM 10) were modelled and compared with a dense intraurban monitoring network in Christchurch, New Zealand, a city with high winter levels of particulate air pollution. Despite the area's high intraurban concentration variability, and meteorological and topographical complexity, the model performed satisfactorily overall, with mean observed and modelled concentrations of 42.9 and 43.4 μg m -3, respectively, while the mean Index of Agreement (IOA) between individual sites was 0.60 and the mean systematic RMSE was 16.9 μg m -3. Most of the systematic error in the model was due to coarse spatial resolution of the local emission inventory and complex meteorology attributed to localised convergence of drainage flows, especially on the western and southern fringes of the urban area. Given further improvements in site-specific estimates within urban areas, IME models such as TAPM may be a viable alternative to central sites for estimating personal exposure in longer-term (monthly or annual) cohort epidemiological studies.

  6. 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.

  7. The quality of air pollutant concentrations in Kermanshah emphasizing PM10 due to the occurrence of dust (2011-2013

    Directory of Open Access Journals (Sweden)

    Meghdad Pirsaheb

    2015-02-01

    Full Text Available Particulate matter is one of the important parameters in air pollutant standard index. 1095 samples were taken during three years and various seasons from five stations belonging to Kermanshah Environment Protection Agency. The results showed that particulate matter concentration was in the range of standard conditions in 67.5% of the days of the year, and it was in the range of dangerous conditions in 1.6% of the days of the year. Spring season and April month had the worst air quality in terms of PM10 concentration, which can be attributed to the incidence and intensity of dust phenomenon during this time.

  8. 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.

  9. 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

  10. 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

  11. THE MALAYSIA PM10 ANALYSIS USING EXTREME VALUE

    Directory of Open Access Journals (Sweden)

    HASFAZILAH AHMAT

    2015-12-01

    Full Text Available The study of air quality is closely associated to air pollution. Air pollution is of the main concerns of the authority in view of the fact that it can generate damaging effects to human health, crops and environment. This paper assesses the use of Extreme Value Distributions (EVD of the two-parameter Gumbel, two and three-parameter Weibull, Generalized Extreme Value (GEV and two and three-parameter Generalized Pareto Distribution (GPD on the maximum concentration of daily PM10 data recorded in the year 2010 - 2012 in Pasir Gudang, Johor, Bukit Rambai, Melaka and Nilai, Negeri Sembilan. Parameters for all distributions were estimated using the method of Maximum Likelihood Estimator (MLE. The goodness-of-fit of the distribution was determined using six performance indicators namely; the accuracy measures which include Prediction Accuracy (PA, Coefficient of Determination (R2, Index of Agreement (IA and error measures that consist of Root Mean Square Error (RMSE, Mean Absolute Error (MAE and Normalized Absolute Error (NAE. The best distribution was selected based on the highest accuracy measures which are close to 1 and the smallest error measures. The result showed that the Generalized Extreme Value (GEV distribution was the best fit for daily maximum concentration for PM10 for all monitoring stations. The GEV gave the smallest errors (NAE, RMSE and MAE and the highest accuracy measures (PA, R2 and IA when compared to other distributions. The method gave the accuracy of more than 98% in PA, IA and R2 for all stations. The analysis demonstrated that the estimated numbers of days in which the concentration of PM10 exceeded the Malaysian Ambient Air Quality Guidelines (MAAQG of 150 µg/m3 were between ½ and 2 days.

  12. Comparisons of urban and rural PM10−2.5 and PM2.5 mass concentrations and semi-volatile fractions in Northeastern Colorado

    Directory of Open Access Journals (Sweden)

    N. Clements

    2015-09-01

    Full Text Available 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, for three years in Denver and comparatively rural Greeley, Colorado. Agricultural operations east of Greeley appear to have contributed to the peak PM10−2.5 concentrations there, but concentrations were generally lower in Greeley than in Denver. Traffic-influenced sites in Denver had PM10−2.5 concentrations that averaged from 14.6 to 19.7 μg m−3 and mean PM10−2.5/PM10 ratios of 0.56 to 0.70, higher than at residential sites in Denver or Greeley. PM10−2.5 concentrations were more temporally variable than PM2.5 concentrations. Concentrations of the two pollutants were not correlated. Spatial correlations of daily averaged PM10−2.5 concentrations ranged from 0.59 to 0.62 for pairs of sites in Denver and from 0.47 to 0.70 between Denver and Greeley. Compared to PM10−2.5, concentrations of PM2.5 were more correlated across sites within Denver and less correlated between Denver and Greeley. PM10−2.5 concentrations were highest during the summer and early fall, while PM2.5 and SVM2.5 concentrations peaked in winter during periodic multi-day inversions. SVM10−2.5 concentrations were low at all sites. Diurnal peaks in PM10−2.5 and PM2.5 concentrations corresponded to morning and afternoon peaks of traffic activity, and were enhanced by boundary layer dynamics. SVM2.5 concentrations peaked around noon on both weekdays and weekends. PM10−2.5 concentrations at sites located near highways generally increased with wind speeds above about 3 m s−1. Little wind speed dependence was observed for the residential

  13. Comparisons of urban and rural PM10-2.5 and PM2.5 mass concentrations and semi-volatile fractions in northeastern Colorado

    Science.gov (United States)

    Clements, Nicholas; Hannigan, Michael P.; Miller, Shelly L.; Peel, Jennifer L.; Milford, Jana B.

    2016-06-01

    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 comparatively rural Greeley, Colorado. Agricultural operations east of Greeley appear to have contributed to the peak PM10-2.5 concentrations there, but concentrations were generally lower in Greeley than in Denver. Traffic-influenced sites in Denver had PM10-2.5 concentrations that averaged from 14.6 to 19.7 µg m-3 and mean PM10-2.5 / PM10 ratios of 0.56 to 0.70, higher than at residential sites in Denver or Greeley. PM10-2.5 concentrations were more temporally variable than PM2.5 concentrations. Concentrations of the two pollutants were not correlated. Spatial correlations of daily averaged PM10-2.5 concentrations ranged from 0.59 to 0.62 for pairs of sites in Denver and from 0.47 to 0.70 between Denver and Greeley. Compared to PM10-2.5, concentrations of PM2.5 were more correlated across sites within Denver and less correlated between Denver and Greeley. PM10-2.5 concentrations were highest during the summer and early fall, while PM2.5 and SVM2.5 concentrations peaked in winter during periodic multi-day inversions. SVM10-2.5 concentrations were low at all sites. Diurnal peaks in PM10-2.5 and PM2.5 concentrations corresponded to morning and afternoon peaks of traffic activity, and were enhanced by boundary layer dynamics. SVM2.5 concentrations peaked around noon on both weekdays and weekends. PM10-2.5 concentrations at sites located near highways generally increased with wind speeds above about 3 m s-1. Little wind speed dependence was observed for the residential sites in Denver and Greeley. The mass

  14. Outdoor particulate matter and childhood asthma admissions in Athens, Greece: a time-series study

    Directory of Open Access Journals (Sweden)

    Roma Eleftheria S

    2010-07-01

    Full Text Available Abstract Background Particulate matter with diameter less than 10 micrometers (PM10 that originates from anthropogenic activities and natural sources may settle in the bronchi and cause adverse effects possibly via oxidative stress in susceptible individuals, such as asthmatic children. This study aimed to investigate the effect of outdoor PM10 concentrations on childhood asthma admissions (CAA in Athens, Greece. Methods Daily counts of CAA from the three Children's Hospitals within the greater Athens' area were obtained from the hospital records during a four-year period (2001-2004, n = 3602 children. Mean daily PM10 concentrations recorded by the air pollution-monitoring network of the greater Athens area were also collected. The relationship between CAA and PM10 concentrations was investigated using the Generalized Linear Models with Poisson distribution and logistic analysis. Results There was a statistically significant (95% CL relationship between CAA and mean daily PM10 concentrations on the day of exposure (+3.8% for 10 μg/m3 increase in PM10 concentrations, while a 1-day lag (+3.4% for 10 μg/m3 increase in PM10 concentrations and a 4-day lag (+4.3% for 10 μg/m3 increase in PM10 concentrations were observed for older asthmatic children (5-14 year-old. High mean daily PM10 concentration (the highest 10%; >65.69 μg/m3 doubled the risk of asthma exacerbations even in younger asthmatic children (0-4 year-old. Conclusions Our results provide evidence of the adverse effect of PM10 on the rates of paediatric asthma exacerbations and hospital admissions. A four-day lag effect between PM10 peak exposure and asthma admissions was also observed in the older age group.

  15. Water-soluble organic compounds (WSOCs) in PM2.5 and PM10 at a subtropical site of India

    Science.gov (United States)

    Khare, Puja; Baruah, B. P.; Rao, P. G.

    2011-11-01

    PM2.5 and PM10 samples collected at a suburban site of northeastern part of India have been analysed for particle mass, total carbon (TC), water-soluble total carbon (WSTC), water-soluble organic carbon (WSOC), water-soluble inorganic carbon (WSIC), organic acids (formic, acetic, proponoic and oxalic acids) along with inorganic ions (NO3-, SO42- and NH4-). Most of the PM10 consists of PM2.5 in the present site (ratio 54-74%). WSTC content in PM2.5 and PM10 corresponds to 21% and 16%, respectively, of their total particle masses. Thermo gravimetric analysis showed the presence of humic-like substances (16-22%) in particulate samples. Domestic heating and stagnant atmospheric conditions enhanced the levels of these carbonaceous compounds in PM2.5 and PM10 in winter. Qualitative estimation of various functional groups by Fourier transform infrared (FTIR) analysis indicates the presence of carboxylic, hydroxyl, aliphatic and aromatic hydrocarbons, amines and sulphurous compounds in these aerosols. Absolute principal component analysis applied on the aerosol data resolves four factors. These factors are associated with carbonaceous aerosols released from combustion of coal and wood, secondary inorganic and organic aerosols and water-soluble inorganic fraction.

  16. Contribution of incense burning to indoor PM10 and particle-bound polycyclic aromatic hydrocarbons under two ventilation conditions.

    Science.gov (United States)

    Lung, S-C C; Kao, M-C; Hu, S-C

    2003-06-01

    Burning incense to worship Gods and ancestors is a traditional practice prevalent in Asian societies. This work investigated indoor PM10 concentrations resulting from incense burning in household environments under two conditions: closed and ventilated. The exposure concentrations of particle-bound polycyclic aromatic hydrocarbons (PAHs) were estimated. The factors of potential exposure were also evaluated. Under both conditions, samples were taken at three locations: 0.3, 3.5 and 7 m away from the altar during three periods: incense burning, the first 3 h, and the 4-6 h after cessation of combustion. PAH concentrations of incense smoke were assessed in the laboratory. Personal environment monitors were used as sampling instruments. The results showed a significant contribution of incense burning to indoor PM10 and particulate PAH concentrations. PM10 concentrations near the altar during incense burning were 723 and 178 microg/m3, more than nine and 1.6 times background levels, under closed and ventilated conditions, respectively. Exposure concentrations of particle-bound PAHs were 0.088-0.45 microg/m3 during incense burning. On average, PM10 and associated PAH concentrations were about 371 and 0.23 microg/m3 lower, respectively, in ventilated environments compared with closed conditions. Concentrations were elevated for at least 6 h under closed conditions.

  17. Characterization of polycyclic aromatic hydrocarbons in PM2.5 and PM10 in Tanggu District, Tianjin Binhai New Area, China

    Science.gov (United States)

    Yang, Dan; Qi, Shihua; Devi, Ningombam Linthoingambi; Tian, Fang; Huo, Ziping; Zhu, Qingyuan; Wang, Jing

    2012-09-01

    Particulate matter (PM10 and PM2.5) concentrations were monitored during the November 2008 by using the filter samples collected day and night from three sites in Tanggu District at Tianjin Binhai New Area, China. The mean concentrations of PM2.5 and PM10 rank in the order of urban (150 μg/m3 for PM2.5 and 197 μg/m3 for PM10)>industrial (32 μg/m3 for PM2.5 and 170 μg/m3 for PM10)>suburb area (27 μg/m3 for PM2.5 and 59 μg/m3 for PM10). Sixteen polycyclic aromatic hydrocarbons (PAHs) were analyzed in PM10 and PM2.5 samples. Concentrations of total PAHs in PM2.5 and PM10 are in the range of 8.47-113.94 ng/m3 with average of 62.88 ng/m3 and 21.07-118.23 ng/m3 with average of 73.42 ng/m3, respectively. The light ring PAHs (2-4 rings) are dominant in both PM2.5 and PM10 during sampling time compares with the heavy ring (5-6 rings) PAHs. The relationship of PAHs and PM2.5 ( r = 0.689, p<0.05) is stronger than PAHs and PM10 ( r = 0.570, p<0.05), illustrating PAHs tend to adsorb in PM2.5. In addition, principal component analysis was applied to find the source of PAHs. Three principal factors representing three types of PAHs sources in Tanggu District are extracted, which were coke production, pyrogenic sources and vehicular source.

  18. Air conditioning and source-specific particles as modifiers of the effect of PM(10) on hospital admissions for heart and lung disease.

    Science.gov (United States)

    Janssen, Nicole A H; Schwartz, Joel; Zanobetti, Antonella; Suh, Helen H

    2002-01-01

    Studies on acute effects of particulate matter (PM) air pollution show significant variability in exposure-effect relations among cities. Recent studies have shown an influence of ventilation on personal/indoor-outdoor relations and stronger associations of adverse effects with combustion-related particles. We evaluated whether differences in prevalence of air conditioning (AC) and/or the contribution of different sources to total PM(10) emissions could partly explain the observed variability in exposure-effect relations. We used regression coefficients of the relation between PM(10) and hospital admissions for chronic obstructive pulmonary disease (COPD), cardiovascular disease (CVD), and pneumonia from a recent study in 14 U.S. cities. We obtained data on the prevalence of AC from the 1993 American Housing Survey and data on PM(10) emissions by source category, vehicle miles traveled (VMT), and population density from the U.S. EPA. We analyzed data using meta-regression techniques. PM(10) regression coefficients for CVD and COPD decreased significantly with increasing percentage of homes with central AC when cities were stratified by whether their PM(10) concentrations peaked in winter or non-winter months. PM(10) coefficients for CVD increased significantly with increasing percentage of PM(10) emission from highway vehicles, highway diesels, oil combustion, metal processing, decreasing percentage of PM(10) emission from fugitive dust, and increasing population density and VMT/mile(2). In multivariate analysis, only percentage of PM(subscript)10(/subscript) from highway vehicles/diesels and oil combustion remained significant. For COPD and pneumonia, associations were less significant but the patterns of the associations were similar to that for CVD. The results suggest that air conditioning and proportion of especially traffic-related particles significantly modify the effect of PM(10) on hospital admissions, especially for CVD. PMID:11781164

  19. Spatio-temporal variability of concentrations and speciation of particulate matter across Spain in the CALIOPE modeling system

    Science.gov (United States)

    Pay, M. T.; Jiménez-Guerrero, P.; Jorba, O.; Basart, S.; Querol, X.; Pandolfi, M.; Baldasano, J. M.

    2012-01-01

    The CALIOPE high-resolution air quality modeling system (4 km × 4 km, 1 h) estimates particulate matter from two aerosol models, CMAQv4.5 (AERO4) and BSC-DREAM8b. While CMAQv4.5 calculates biogenic, anthropogenic and sea-salt aerosols; BSC-DREAM8b provides hourly estimates of the natural mineral dust contribution from North Africa deserts. This paper presents an evaluation of the CALIOPE system to reproduce the spatial and temporal variability levels of PM2.5, PM10 and chemical composition (nitrate, non-marine sulfate, ammonium, organic and elemental carbon, sea-salt, and desert dust) across Spain. The evaluation is performed against ground-based observations for the year 2004, when a number of time series of chemically speciated compounds were available. A new data set of Saharan dust PM10 concentration is used to evaluate the PM10 contribution modeled by BSC-DREAM8b. The results indicate that both natural aerosol sea-salt and desert dust accomplish the model performance criteria (MFE ≤ 75% and MFB ± 60%). Modeled PM10 sea-salt is highly dependent on wind speed and presents high correlation with experimental data in coastal areas ( r = 0.67). The BSC-DREAM8b is able to reproduce the daily variability of the observed levels of desert dust and most of the outbreaks affecting southern Spain. Species in the equilibrium (e.g. sulfate/nitrate/ammonium) are highly correlated each other and show high dependency on ammonia emissions. Non-marine sulfate and ammonium are underestimated by a factor of 3. An underestimation of nitrate was also seen (factor of 2). Fine carbonaceous aerosols present the highest underestimations (factor of 4) in part related to the state-of-the-science concerning secondary organic aerosol formation pathways. Spatial and seasonal variability of PM2.5, PM10 and their chemical compounds increase the correlation with observations when multiplicative bias-correction factors for the aforementioned underestimated species are taking into account

  20. PM10 concentration levels at an urban and background site in Cyprus: the impact of urban sources and dust storms.

    Science.gov (United States)

    Achilleos, Souzana; Evans, John S; Yiallouros, Panayiotis K; Kleanthous, Savvas; Schwartz, Joel; Koutrakis, Petros

    2014-12-01

    Air quality in Cyprus is influenced by both local and transported pollution, including desert dust storms. We examined PM10 concentration data collected in Nicosia (urban representative) from April 1, 1993, through December 11, 2008, and in Ayia Marina (rural background representative) from January 1, 1999, through December 31, 2008. Measurements were conducted using a Tapered Element Oscillating Micro-balance (TEOM). PM10 concentrations, meteorological records, and satellite data were used to identify dust storm days. We investigated long-term trends using a Generalized Additive Model (GAM) after controlling for day of week, month, temperature, wind speed, and relative humidity. In Nicosia, annual PM10 concentrations ranged from 50.4 to 63.8 μg/m3 and exceeded the EU annual standard limit enacted in 2005 of 40 μg/m3 every year A large, statistically significant impact of urban sources (defined as the difference between urban and background levels) was seen in Nicosia over the period 2000-2008, and was highest during traffic hours, weekdays, cold months, and low wind conditions. Our estimate of the mean (standard error) contribution of urban sources to the daily ambient PM10 was 24.0 (0.4) μg/m3. The study of yearly trends showed that PM10 levels in Nicosia decreased from 59.4 μg/m3 in 1993 to 49.0 μg/m3 in 2008, probably in part as a result of traffic emission control policies in Cyprus. In Ayia Marina, annual concentrations ranged from 27.3 to 35.6 μg/m3, and no obvious time trends were observed. The levels measured at the Cyprus background site are comparable to background concentrations reported in other Eastern Mediterranean countries. Average daily PM10 concentrations during desert dust storms were around 100 μg/m3 since 2000 and much higher in earlier years. Despite the large impact ofdust storms and their increasing frequency over time, dust storms were responsible for a small fraction of the exceedances of the daily PM10 limit. Implications: This

  1. The Influence of Meteorological Conditions on PM10 Mass Concentration%气象因素对PM10质量浓度的影响

    Institute of Scientific and Technical Information of China (English)

    潘宇; 李明明; 王芳

    2016-01-01

    利用兰州市可吸入颗粒物(PM 10)监测数据和同期气象观测数据,采用相关性分析对 PM 10的浓度水平与气象因素的影响进行了研究.结果表明:PM10的浓度与温度呈现负相关关系.风向为NW和NNW时,PM10污染相对较轻,风向为NE和ENE时,PM10污染比较严重.兰州市属于典型的河谷城市,四面环山气流闭塞,风速过小导致城区大气污染物不利于向城区外扩散.PM 10的浓度与气压呈正相关.降水对环境空气中污染物能够起到清除和冲刷作用,对可吸入颗粒物去除作用显著.%Based on monitoring data of PM 10 and meteorological data in Lanzhou ,the influence of meteoro‐logical conditions on concentration levels of PM 10 was investigated using correlation analysis .The results showed that PM10 concentrations were significantly negative correlated with temperature .Wind direction for NW and NNW ,PM10 pollution is relatively light ,the wind of NE and ENE ,PM10 pollution is more se‐rious .Lanzhou is a typical valley city ,the wind speed is too small lead to urban atmospheric pollutants to spread outside the city .The concentrations of PM10 and air pressure were positively correlated .Precipitati‐on can remove and wash PM 10 ,the effect is very significant .

  2. PM10 source apportionment in a Swiss Alpine valley impacted by highway traffic.

    Science.gov (United States)

    Ducret-Stich, Regina E; Tsai, Ming-Yi; Thimmaiah, Devraj; Künzli, Nino; Hopke, Philip K; Phuleria, Harish C

    2013-09-01

    Although trans-Alpine highway traffic exhaust is one of the major sources of air pollution along the highway valleys of the Alpine regions, little is known about its contribution to residential exposure and impact on respiratory health. In this paper, source-specific contributions to particulate matter with an aerodynamic diameter traffic-related: traffic exhaust, road dust, tire and brake wear, and road salt contributing 16 %, 8 %, 1 %, and 2 % to annual PM10 concentrations, respectively. They showed a clear dependence with distance to highway. Additional contributions were identified from secondary particles (27 %), biomass burning (18 %), railway (11 %), and mineral dust including a local construction site (13 %). Comparing these source contributions with known source-specific biomarkers (e.g., levoglucosan, nitro-polycyclic aromatic hydrocarbons) showed high agreement with biomass burning, moderate with secondary particles (in winter), and lowest agreement with traffic exhaust.

  3. Physicochemical characterization of winter PM10 aerosol impacted by sugarcane burning from São Paulo city, Brazil

    Science.gov (United States)

    Caumo, Sofia E. S.; Claeys, Magda; Maenhaut, Willy; Vermeylen, Reinhilde; Behrouzi, Shabnam; Safi Shalamzari, Mohammad; Vasconcellos, Pérola C.

    2016-11-01

    Atmospheric particulate matter samples (PM10) were collected at an urban site in São Paulo (SPA) city in winter episodes of 2012 and 2013. Several organic compounds were determined in the samples to characterize the composition of the particulate matter with emphasis on marker compounds for biomass burning. Organic carbon (OC), elemental carbon (EC), monosaccharide anhydrides, monosaccharides, nitroaromatic compounds, isoprene secondary organic aerosol markers, and polyols were measured. The PM10, OC and EC median concentrations were higher for samples collected in 2013 than in 2012, with the contribution of OC to the PM10 mass being 17% and 11% in 2012 and 2013. The three anhydrosugars, levoglucosan, mannosan and galactosan together, accounted, on average, for 2.0 and 2.2% of the OC mass in 2012 and 2013, whereas the nitro-aromatic compounds, including 4-nitrophenol, 4-nitrocatechol, isomeric methyl nitrocatechols and dimethyl catechols, showed the same trend, contributing, on average, for 0.28% and 0.35% to the OC mass in 2012 and 2013, and thus indicating a higher contribution from biomass burning in 2013 compared to 2012. The methyl nitrocatechols were substantially correlated with levoglucosan, consistent with their proposed origin from biomass burning. The results demonstrate that biomass burning compounds are important contributors to the OC mass, especially in winter. Furthermore, it is suggested that a levoglucosan/galactosan ratio smaller than about 30 may be indicative for regional sugarcane burning and not for advected air from sites that are impacted by tropical forest fires.

  4. Ion concentrations of PM10–2.5 and PM2.5 aerosols over the eastern Mediterranean region: seasonal variation and source identification

    Directory of Open Access Journals (Sweden)

    N. A. Saliba

    2005-12-01

    Full Text Available The annual averages of particulate matters (PM10, PM10–2.5 (coarse and PM2.5 (fine in a densely populated area of Beirut were measured and found to be 84±27, 53±20 and 31±9 μg m−3, respectively. Ion Chromatography (IC analysis of the collected PM Teflon filters showed that NaCl, CaSO4 and Ca(NO32 were predominant in the coarse particles, while (NH42SO4 was the main salt in the fine particles. Using the non destructive Fourier Transform Infra Red-Attenuated Total Reflection (FTIR-ATR technique, CaCO3 was determined in the coarse filter. In addition, ATR measurements showed that inorganic salts present in the coarse particles are mostly water insoluble while salts found in fine particles are soluble. Concentrations of nitrates and calcium higher than the ones reported in neighboring Mediterranean countries were good indication of high traffic density and crustal dust abundance in Beirut, respectively. The study of the seasonal variation showed that long-range transport of SO2 from Eastern and Central Europe, sandy storms coming from Africa and marine aerosols are considered major sources of the determined inorganic ions. Considering the importance of the health and climate impacts of aerosols locally and regionally, this study constitutes a point of reference for eastern Mediterranean transport modeling studies and local regulatory and policy makers.

  5. Source apportionment of PM10 in the Western Mediterranean based on observations from a cruise ship

    Science.gov (United States)

    Schembari, C.; Bove, M. C.; Cuccia, E.; Cavalli, F.; Hjorth, J.; Massabò, D.; Nava, S.; Udisti, R.; Prati, P.

    2014-12-01

    Two intensive PM10 sampling campaigns were performed in the summers of 2009 and 2010 on the ship Costa Pacifica during cruises in the Western Mediterranean. Samples, mainly collected on an hourly basis, were analysed with different techniques (Particle Induced X-Ray Emission, PIXE; Energy Dispersive - X Ray Fluorescence, ED-XRF; Ion Chromatography, IC; Thermo-optical analysis) to retrieve the PM10 composition and its time pattern. The data were used for obtaining information about the sources of aerosol, with a focus on ship emissions, through apportionment using chemical marker compounds, correlation analysis and Positive Matrix Factorization (PMF) receptor modelling. For the campaign in 2010, 66% of the aerosol sulphate was found to be anthropogenic, only minor contributions of dust and sea salt sulphate were observed while the biogenic contribution, estimated based on the measurements of MSA, was found to be more important (26%), but influenced by large uncertainties. V and Ni were found to be suitable tracers of ship emissions during the campaigns. Four sources of aerosol were resolved by the PMF analysis; the source having the largest impact on PM10, BC and sulphate was identified as a mixed source, comprising emissions from ships. The correlations between sulphate and V and Ni showed the influence of ship emissions on sulphate in marine air masses. For the leg Palma-Tunis crossing a main ship route, the correlations between aerosol sulphate and V and Ni were particularly strong (r2 = 0.9 for both elements).

  6. 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

    Particle matter with aerodynamic diameter lesser than 10 um (PM10) has shown adverse effects on health even at low concentrations. Entic Haplustoll dominates central semiarid region of Argentine (CSRA) and PM10 are emitted from the soil by tillage and wind erosion. The aim of study was measure glyphosate concentration in the PM10 emitted by a soil fine-sandy loam Entic Haplustoll. The study was carried in Santa Rosa La Pampa (S36° 46´; W64° 16´; 210 m a.s.l.) in a plot where 3.7 kg ha-1 active ingredient of glyphosate was used in the last two year and glyphosate was not used in the last 12 months. Soil samples were air dried and sieved with a rotary sieve to separate the following aggregate fractions: 19.2 mm. The Easy Dust Generator (EDG) was used to generate dust from the soil and its aggregate fractions. The PM10 emitted by EDG was collected using an electrostatic precipitator (C&L model number GH-939). The following determinations were carried out in the soil, aggregates and PM10 emitted by them: organic matter contents (OM) (Walkley & Black, 1934), particle size composition (Malvern martersizer2000) and the Glyphosate and AMPA content. Results showed that mean geometric diameter (MGD) of the material collected in the electrostatic precipitator and emitted by the aggregate fraction and the soil was between 4.6 and 5.3 µm. OM content in the aggregates fraction and soil ranged between 1.4% and 2.9% while than in the PM10 emitted by them ranged between 3.5% and 3.7 %. Clay content in aggregates and soil ranged between 6.5% and 8.5% while than in PM10 emitted by them ranged between 17.5% and 19.0%. Glyphosate content in aggregates fraction and soil ranged between 1 and 3 ppb. Glyphosate in PM10 emitted by aggregates and soil did not show differences in despite of it ranged between 11.0 ppb and 19.5 ppb. OM and clay in aggregate fractions and PM10 do not explained glyphosate content in PM10. AMPA concentration in aggregates and soil ranged between 80 ppb and

  7. 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.

  8. 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...

  9. Inflammation response and cytotoxic effects in human THP-1 cells of size-fractionated PM10 extracts in a polluted urban site.

    Science.gov (United States)

    Schilirò, T; Alessandria, L; Bonetta, S; Carraro, E; Gilli, G

    2016-02-01

    To contribute to a greater characterization of the airborne particulate matter's toxicity, size-fractionated PM10 was sampled during different seasons in a polluted urban site in Torino, a northern Italian city. Three main size fractions (PM10 - 3 μm; PM3 - 0.95 μm; PM fraction PMfractionated PM10 extracts, sampled in an urban traffic meteorological-chemical station produced size-related toxicological effects in relation to season and particles extraction. The PM summer extracts induced a significant release of LDH compared to winter and produced a size-related effect, with higher values measured with PM10-3. Exposure to size-fractionated PM10 extracts did not induce significant expression of TNFα. IL-8 expression was influenced by exposure to size-fractionated PM10 extracts and statistically significant differences were found between kind of extracts for both seasons. The mean fold increases in CYP1A1 expression were statistically different in summer and in winter; winter fraction extracts produced a size-related effect, in particular for organic samples with higher values measured with PM<0.95 extracts. Our results confirm that the only measure of PM can be misleading for the assessment of air quality moreover we support efforts toward identifying potential effect-based tools (e.g. in vitro test) that could be used in the context of the different monitoring programs.

  10. Removal of PM10 by Forests as a Nature-Based Solution for Air Quality Improvement in the Metropolitan City of Rome

    Directory of Open Access Journals (Sweden)

    Federica Marando

    2016-07-01

    Full Text Available Nature-based solutions have been identified by the European Union as being critical for the enhancement of environmental qualities in cities, where urban and peri-urban forests play a key role in air quality amelioration through pollutant removal. A remote sensing and geographic information system (GIS approach was applied to the Metropolitan City (MC of Rome to assess the seasonal particulate matter (PM10 removal capacity of evergreen (broadleaves and conifers and deciduous species. Moreover, a monetary evaluation of PM10 removal was performed on the basis of pollution externalities calculated for Europe. Deciduous broadleaves represent the most abundant tree functional group and also yielded the highest total annual PM10 deposition values (1769 Mg. By contrast, PM10 removal efficiency (Mg·ha−1 was 15%–22% higher in evergreen than in deciduous species. To assess the different removal capacity of the three functional groups in an area with homogeneous environmental conditions, a study case was performed in a peri-urban forest protected natural reserve (Castelporziano Presidential Estate. This study case highlighted the importance of deciduous species in summer and of evergreen communities as regards the annual PM10 removal balance. The monetary evaluation indicated that the overall PM10 removal value of the MC of Rome amounted to 161.78 million Euros. Our study lends further support to the crucial role played by nature-based solutions for human well-being in urban areas.

  11. Aerosol-Radiation Feedback and PM10 Air Concentrations Over Poland

    Science.gov (United States)

    Werner, Małgorzata; Kryza, Maciej; Skjøth, Carsten Ambelas; Wałaszek, Kinga; Dore, Anthony J.; Ojrzyńska, Hanna; Kapłon, Jan

    2017-02-01

    We have implemented the WRF-Chem model version 3.5 over Poland to quantify the direct and indirect feedback effects of aerosols on simulated meteorology and aerosol concentrations. Observations were compared with results from three simulations at high spatial resolutions of 5 × 5 km: (1) BASE—without any aerosol feedback effects; (2) DIR—with direct aerosol-radiative effects (3) INDIR—with direct and indirect aerosol-radiative effects. We study the overall effect during January 2011 as well as selected episodes of the highest differences in PM10 concentrations between the three simulations. For the DIR simulation, the decrease in monthly mean incoming solar radiation (SWDOWN) appears for the entire study area. It changes geographically, from about -8.0 to -2.0 W m-2, respectively for the southern and northern parts of the country. The highest changes do not correspond to the highest PM10 concentration. Due to the solar radiation changes, the surface mean monthly temperature (T2) decreases for 96 % of the area of Poland, but not more than 1.0 °C. Monthly mean PBLH changes by more than ±5 m for 53 % of the domain. Locally the differences in PBLH between the DIR and BASE are higher than ± 20 m. Due to the direct effect, for 84 % of the domain, the mean monthly PM10 concentrations increase by up to 1.9 µg m-3. For the INDIR simulation the spatial distribution of changes in incoming solar radiation as well as air temperature is similar to the DIR simulation. The decrease of SWDOWN is noticed for the entire domain and for 23 % of the domain is higher than -5.0 W m-2. The absolute differences of PBLH are slightly higher for INDIR than DIR but similarly distributed spatially. For daily episodes, the differences between the simulations are higher, both for meteorology and PM10 concentrations, and the pattern of changes is usually more complex. The results indicate the potential importance of the aerosol feedback effects on modelled meteorology and PM10

  12. 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.

  13. Determination and analysis of PM 10 source apportionment during episodes of air pollution in Central Eastern European urban areas: The case of wintertime 2006

    Science.gov (United States)

    Juda-Rezler, Katarzyna; Reizer, Magdalena; Oudinet, Jean-Paul

    2011-11-01

    Source apportionment of air pollution due to particulate matter with an aerodynamic diameter Russia-Belarus-Ukraine), most were also under LRT from Southern origin (Slovakia, Czech Republic), and northern cities were under national RT influence. PCA analysis shows that ion-sums of secondary inorganic aerosols account for LRT pollution while arsenic and chromium represents markers of RT (industrial) and LP (residential) sources of PM 10, respectively. Determination of several ratios (REG/UB, REG/TRAF, TRAF/UB) calculated between PM 10 levels measured at regional background (REG); urban background (UB) and traffic (TRAF) monitoring sites shows that, with ratios REG/UB ≥ 0.57, PM 10 episodes in both Szczecin and Warsaw bore a marked RT origin. The lower REG/UB ≤ 0.35 in the Southern cities of Cracow and Zabrze indicates that LP was the main contributor to the observed episodes. Only PM 10 episodes in Southern-western Poland (Jelenia Góra) were clearly of LP origin as characterized, by the lowest REG/UB ratio (<0.2). The high TRAF/UB ratios obtained for all cities (close to 1) indicate that there was a great uniformity of PM levels on an urban scale owing to the meteorologically stagnant conditions. A high correlation between PM 10, NO 2 and CO confirms that traffic emission represented a common and an important LP source of urban pollution in most Polish cities during January 2006. On the other hand PM 10 which is also highly correlated with SO 2 in 4 cities out of 6, indicates that coal combustion through domestic heating or industrial activities was also an important LP source of PM 10. Finally, extremely unfavourable meteorological conditions caused by the influence of a Siberian high-pressure system were found to be associated with the occurrence of severe PM 10 episodes of pollution.

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

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    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.

  15. Spatial–temporal variations, sources, and transport of airborne inhalable metals (PM10 in urban and rural areas of northern China

    Directory of Open Access Journals (Sweden)

    X. S. Luo

    2014-05-01

    Full Text Available Atmospheric particle pollution is a serious environmental issue in China, especially the northern regions. Ambient air loadings (ng m−3, pollution sources and apportionment, and transport pathways of trace (Cd, Co, Cu, Ni, Pb, V, and Zn and major (Al, Ca, Fe, and Mg metals associated with inhalable particulate matters (PM10 aerosols were characterized in urban, rural village, and rural field areas of seven cities (from inland in the west to the coast in the east: Wuwei, Yinchuan, Taiyuan, Beijing, Dezhou, Yantai, and Dalian across northern China by taking one 72 h sample each site within a month for a whole year (April 2010 to March 2011. Ambient PM10 pollution in northern China is especially significant in the cold season (October–March due to the combustion of coal for heating and dust storms in the winter and spring. Owing to variations in emission intensity and meteorological conditions, there is a trend of decrease in PM10 levels in cities from west to east. Both air PM10 and the associated metal loadings for urban and rural areas were comparable, showing that the current pattern of regional pollution in China differs from the decreasing urban–rural-background transect that is usual in other parts of the world. The average metal levels are Zn (276 ng m−3 ≫ Pb (93.7 ≫ Cu (54.9 ≫ Ni (9.37 > V (8.34 ≫ Cd (2.84 > Co (1.76. Judging from concentrations (mg kg−1, enrichment factors (EFs, a multivariate statistical analysis (principal component analysis, PCA, and a receptor model (absolute principal component scores-multiple linear regression analysis, APCS-MLR, the airborne trace metals (Zn, Pb, Cu, and Cd in northern China were mainly anthropogenic, and mostly attributable to coal combustion and vehicle emissions with additional industrial sources. However, the Co was mostly of crustal origin, and the V and Ni were mainly from soil/dust in the western region and mostly from the petrochemical industry/oil combustion in the east

  16. Spatial-temporal variations, sources, and transport of airborne inhalable metals (PM10) in urban and rural areas of northern China

    Science.gov (United States)

    Luo, X. S.; Ip, C. C. M.; Li, W.; Tao, S.; Li, X. D.

    2014-05-01

    Atmospheric particle pollution is a serious environmental issue in China, especially the northern regions. Ambient air loadings (ng m-3), pollution sources and apportionment, and transport pathways of trace (Cd, Co, Cu, Ni, Pb, V, and Zn) and major (Al, Ca, Fe, and Mg) metals associated with inhalable particulate matters (PM10 aerosols) were characterized in urban, rural village, and rural field areas of seven cities (from inland in the west to the coast in the east: Wuwei, Yinchuan, Taiyuan, Beijing, Dezhou, Yantai, and Dalian) across northern China by taking one 72 h sample each site within a month for a whole year (April 2010 to March 2011). Ambient PM10 pollution in northern China is especially significant in the cold season (October-March) due to the combustion of coal for heating and dust storms in the winter and spring. Owing to variations in emission intensity and meteorological conditions, there is a trend of decrease in PM10 levels in cities from west to east. Both air PM10 and the associated metal loadings for urban and rural areas were comparable, showing that the current pattern of regional pollution in China differs from the decreasing urban-rural-background transect that is usual in other parts of the world. The average metal levels are Zn (276 ng m-3) ≫ Pb (93.7) ≫ Cu (54.9) ≫ Ni (9.37) > V (8.34) ≫ Cd (2.84) > Co (1.76). Judging from concentrations (mg kg-1), enrichment factors (EFs), a multivariate statistical analysis (principal component analysis, PCA), and a receptor model (absolute principal component scores-multiple linear regression analysis, APCS-MLR), the airborne trace metals (Zn, Pb, Cu, and Cd) in northern China were mainly anthropogenic, and mostly attributable to coal combustion and vehicle emissions with additional industrial sources. However, the Co was mostly of crustal origin, and the V and Ni were mainly from soil/dust in the western region and mostly from the petrochemical industry/oil combustion in the east. The

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

    Science.gov (United States)

    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

  18. 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

    At Holi festivals, originally celebrated in India but more recently all over the world, people throw coloured powder (Holi powder, Holi colour, Gulal powder) at each other. Adverse health effects, i.e. skin and ocular irritations as well as respiratory problems may be the consequences. The aim of this study was to uncover some of the underlying mechanisms. We analysed four different Holi colours regarding particle size using an Electric field cell counting system. In addition, we incubated native human cells with different Holi colours and determined their potential to induce a pro-inflammatory response by quantifying the resulting cytokine production by means of ELISA (Enzyme Linked Immunosorbent Assay) and the resulting leukocyte oxidative burst by flow cytometric analysis. Moreover, we performed the XTT (2,3-Bis-(2-methoxy-4-nitro-5-sulfophenyl)-2H-tetrazolium-5-carboxanilide) and Propidium iodide cytotoxicity tests and we measured the endotoxin content of the Holi colour samples by means of the Limulus Amebocyte Lysate test (LAL test). We show here that all tested Holi colours consist to more than 40 % of particles with an aerodynamic diameter smaller than 10 μm, so called PM10 particles (PM, particulate matter). Two of the analysed Holi powders contained even more than 75 % of PM10 particles. Furthermore we demonstrate in cell culture experiments that Holi colours can induce the production of the pro-inflammatory cytokines TNF-α (Tumor necrosis factor-α), IL-6 (Interleukine-6) and IL-1β (Interleukine-1β). Three out of the four analysed colours induced a significantly higher cytokine response in human PBMCs (Peripheral Blood Mononuclear Cells) and whole blood than corn starch, which is often used as carrier substance for Holi colours. Moreover we show that corn starch and two Holi colours contain endotoxin and that certain Holi colours display concentration dependent cytotoxic effects in higher concentration. Furthermore we reveal that in principle Holi

  19. Assessing the contribution of water to the mass closure of PM10

    Science.gov (United States)

    Perrino, C.; Catrambone, M.; Farao, C.; Canepari, S.

    2016-09-01

    The data obtained during a number of field studies aimed at determining the chemical composition of atmospheric particulate matter (PM) have shown that the measurement of the main PM components (main elements, ions, elemental carbon, organic carbon) was generally sufficient to obtain a reasonable mass closure. Notwithstanding, a wide gap between PM mass concentration and reconstructed mass was observed in two peculiar environmental conditions: desert dust intrusion and severe atmospheric stability episodes characterized by very high ammonium nitrate concentration. In these two cases, the mass closure improved significantly by adding the concentration of PM-bound water. Water was determined by using a coulometric Karl-Fisher system equipped with a controlled heating device; the method was able to separate different water contributions released in different temperature ranges from 50 to 250 °C. In our field studies the amount of water associated to ammonium salts in winter stability conditions was mostly dependent on ammonium nitrate concentration and constituted up to 22% of the total PM10 mass; the specific water contribution linked to ammonium salts (released in the temperature range 180-250 °C) constituted up to 30% of the ammonium nitrate mass. It was confirmed that in these extreme conditions quartz and Teflon filters behave differently: when measured on quartz filters, PM concentration was lower than on Teflon, the mass closure was satisfactory and the concentration of water was presumably very low. In the case of desert dust episodes, water was up to 10% of total PM10 mass; the specific water contribution linked to desert dust (released in the temperature range 100-180 °C) constituted about 5% of the mass of soil components. In other environmental situations, such as urban environments, marine atmosphere and rural areas, the concentration of PM-bound water was below 2-3 μg/m3.

  20. Characteristics and Seasonal Variations of PM2.5, PM10,and TSP Aerosol in Beijing

    Institute of Scientific and Technical Information of China (English)

    WEN-JIE ZHANG; YE-LE SUN; GUO-SHUN ZHUANG; DONG-QUN XU

    2006-01-01

    Objective To investigate the seasonal characteristics and the sources of elements and ions with different sizes in the aerosols in Beijing. Methods Samples of particulate matters (PM2.5), PM10, and total suspended particle (TSP)aerosols were collected simultaneously in Beijing from July 2001 to April 2003. The aerosol was chemically characterized by measuring 23 elements and 18 water-soluble ions by inductively coupled plasma-atomic emission spectroscopy (ICP-AES) and ion chromatography (IC), respectively. Results The samples were divided into four categories: spring non-dust, spring dust, summer dust, and winter dust. TSP, PM10, and PM2.5 were most abundant in the spring dust, and the least in summer dust. The average mass ratios of PM>10, PM2.5-10, and PM2.5 to TSP confirmed that in the spring dust both the large coarse (PM>10) and fine particles (PM2.5) contributed significantly in summer PM2.5, PM2.5-10, and PM>10 contributed similar fractions to TSP, and in winter much PM2.5. The seasonal variation characteristics of the elements and ions were used to divide them into four groups: crustal, pollutant, mixed, and secondary. The highest levels of crustal elements, such as Al, Fe, and Ca, were found in the dust season, the highest levels of pollutant elements and ions,such as As, F, and C1-, were observed in winter, and the highest levels of secondary ions (SO42-, NO3-, and NH4+) were seen both in summer and in winter. The mixed group (Eu, Ni, and Cu) showed the characteristics of both crustal and pollutant elements. The mineral aerosol from outside Beijing contributed more than that from the local part in all the reasons but summer, estimated using a newly developed element tracer technique.

  1. 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.

  2. Characterisation of PM 10 emissions from woodstove combustion of common woods grown in Portugal

    Science.gov (United States)

    Gonçalves, Cátia; Alves, Célia; Evtyugina, Margarita; Mirante, Fátima; Pio, Casimiro; Caseiro, Alexandre; Schmidl, Christoph; Bauer, Heidi; Carvalho, Fernando

    2010-11-01

    A series of source tests was performed to evaluate the chemical composition of particle emissions from the woodstove combustion of four prevalent Portuguese species of woods: Pinus pinaster (maritime pine), Eucalyptus globulus (eucalyptus), Quercus suber (cork oak) and Acacia longifolia (golden wattle). Analyses included water-soluble ions, metals, radionuclides, organic and elemental carbon (OC and EC), humic-like substances (HULIS), cellulose and approximately l80 organic compounds. Particle (PM 10) emission factors from eucalyptus and oak were higher than those from pine and acacia. The carbonaceous matter represented 44-63% of the particulate mass emitted during the combustion process, regardless of species burned. The major organic components of smoke particles, for all the wood species studied, with the exception of the golden wattle (0.07-1.9% w/w), were anhydrosugars (0.2-17% w/w). Conflicting with what was expected, only small amounts of cellulose were found in wood smoke. As for HULIS, average particle mass concentrations ranged from 1.5% to 3.0%. The golden wattle wood smoke presented much higher concentrations of ions and metal species than the emissions from the other wood types. The results of the analysis of radionuclides revealed that the 226Ra was the naturally occurring radionuclide more enriched in PM 10. The chromatographically resolved organics included n-alkanes, n-alkenes, PAH, oxygenated PAH, n-alkanals, ketones, n-alkanols, terpenoids, triterpenoids, phenolic compounds, phytosterols, alcohols, n-alkanoic acids, n-di-acids, unsaturated acids and alkyl ester acids.

  3. Spatial and temporal variations of the concentrations of PM10, PM2.5 and PM1 in China

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    Y. Q. Wang

    2015-06-01

    Full Text Available Concentrations of PM10, PM2.5 and PM1 were monitored at 24 stations of CAWNET (China Atmosphere Watch Network from 2006 to 2014 using GRIMM 180 dust monitors. The highest particulate matter (PM concentrations were observed at the stations of Xian, Zhengzhou and Gucheng, in Guanzhong and the Hua Bei Plain (HBP. The second highest PM concentrations were observed in northeast China, followed by southern China. According to the latest air quality standards of China, 14 stations reached the PM10 standard and only 7 stations, mainly rural and remote stations, reached the PM2.5 standard. The PM2.5 and PM10 ratios showed a clear increasing trend from northern to southern China, because of the substantial contribution of coarse mineral aerosol in northern China. The PM1 and PM2.5 ratios were higher than 80% at most stations. PM concentrations tended to be highest in winter and lowest in summer at most stations, and mineral dust impacts influenced the results in spring. A decreasing interannual trend was observed in the HBP and southern China from 2006 to 2014, but an increasing trend occurred at some stations in northeast China. Also diurnal variations of PM concentrations and meteorological factors effects were investigated.

  4. A pragmatic approach to estimate the number of days in exceedance of PM10 limit value

    Science.gov (United States)

    Beauchamp, Maxime; Malherbe, Laure; de Fouquet, Chantal

    2015-06-01

    European legislation on ambient air quality requests that Member States report the annual number of exceedances of short-term concentration regulatory thresholds for PM10 and delimit the concerned areas. Measurements at the monitoring stations do not allow to fully describe those areas. We present a methodology to estimate the number of exceedances of the daily limit value over a year, that can be extended to any similar issue. This methodology is applied to PM10 concentrations in France for which the daily limit value is 50 μg m-3, not to be exceeded more that 35 days. A probabilistic model is built using preliminary mapping of daily mean concentrations. First, daily atmospheric concentration fields are estimated at 1 km resolution by external drift kriging, combining surface monitoring observations and outputs from the CHIMERE chemistry transport model. Setting a conventional Gaussian hypothesis for the estimation error, the kriging variance is used to compute the probability of exceeding the daily limit value and to identify three areas: those where we can suppose as certain that the concentrations exceed or not the daily limit value and those where the situation is indeterminate because of the estimation uncertainty. Then, from the set of 365 daily mappings of the probability to exceed the daily limit value, the parameters of a translated Poisson distribution is fitted on the annual number of exceedances of the daily limit value at each grid cell, which enables to compute the probability for this number to exceed 35. The methodology is tested for three years (2007, 2009 and 2011) which present numerous exceedances of the daily limit concentration at some monitoring stations. A cross-validation analysis is carried out to check the efficiency of the methodology. The way to interpret probability maps is discussed. A comparison is made with simpler kriging approaches using indicator kriging of exceedances. Lastly, estimation of the population exposed to PM10

  5. Characteristics of vertical profiles and sources of PM 2.5, PM 10 and carbonaceous species in Beijing

    Science.gov (United States)

    Chan, C. Y.; Xu, X. D.; Li, Y. S.; Wong, K. H.; Ding, G. A.; Chan, L. Y.; Cheng, X. H.

    In August 2003 during the anticipated month of the 2008 Beijing Summer Olympic Games, we simultaneously collected PM 10 and PM 2.5 samples at 8, 100, 200 and 325 m heights up a meteorological tower and in an urban and a suburban site in Beijing. The samples were analysed for organic carbon (OC) and elemental carbon (EC) contents. Particulate matter (PM) and carbonaceous species pollution in the Beijing region were serious and widespread with 86% of PM 2.5 samples exceeding the daily National Ambient Air Quality Standard of the USA (65 μg m -3) and the overall daily average PM 10 concentrations of the three surface sites exceeding the Class II National Air Quality Standard of China (150 μg m -3). The maximum daily PM 2.5 and PM 10 concentrations reached 178.7 and 368.1 μg m -3, respectively, while those of OC and EC reached 22.2 and 9.1 μg m -3 in PM 2.5 and 30.0 and 13.0 μg m -3 in PM 10, respectively. PM, especially PM 2.5, OC and EC showed complex vertical distributions and distinct layered structures up the meteorological tower with elevated levels extending to the 100, 200 and 300 m heights. Meteorological evidence suggested that there exist fine atmospheric layers over urban Beijing. These layers were featured by strong temperature inversions close to the surface (industrial emissions from the southwest direction of the city. Emissions from road traffic and construction activities as well as secondary organic carbon (SOC) are important sources of PM. High OC/EC ratios (range of 1.8-5.1 for PM 2.5 and 2.0-4.3 for PM 10) were found, especially in the higher levels of the meteorological tower suggesting there were substantial productions of SOC in summer Beijing. SOC is estimated to account for at least 33.8% and 28.1% of OC in PM 2.5 and PM 10, respectively, with higher percentages at the higher levels of the tower.

  6. 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

  7. 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.

  8. Modeling of particulate matter transport in atmospheric boundary layer following dust emission from source areas

    Science.gov (United States)

    Katra, Itzhak; Elperin, Tov; Fominykh, Andrew; Krasovitov, Boris; Yizhaq, Hezi

    2016-03-01

    A two-dimensional model for particulate matter (PM) dispersion due to dust emission from soils is presented. Field experiments were performed at a dust source site (Negev loess soil) with a portable boundary layer wind tunnel to determine the emitted PM fluxes for different wind speeds and varying soil conditions. The numerical model is formulated using parameterizations based on the aeolian experiments. The wind velocity profiles used in the simulations were fitted from data obtained in field measurements. Size distribution of the emitted dust particles in the numerical simulations was taken into account using a Monte Carlo method. The PM concentration distributions at a distance of several kilometers from the dust source under specific shear velocities and PM fluxes from the soil were determined numerically by solving advection-diffusion equation. The obtained PM10 concentrations under typical wind and soil conditions are supported by PM data recorded over time in a standard environmental monitoring station. The model enhances our capacity of quantification of dust processes to support climate models as well as health risk assessment.

  9. Retrieval of aerosol mass load (PM10 from MERIS/Envisat top of atmosphere spectral reflectance measurements over Germany

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    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.

  10. Concentrations and source apportionment of PM10 and associated major and trace elements in the Rhodes Island, Greece.

    Science.gov (United States)

    Argyropoulos, Georgios; Manoli, Evangelia; Kouras, Athanasios; Samara, Constantini

    2012-08-15

    Ambient concentrations of PM(10) and associated major and trace elements were measured over the cold and the warm season of 2007 at two sites located in the Rhodes Island (Greece), in Eastern Mediterranean, aimed at source apportionment by Chemical Mass Balance (CMB) receptor modeling. Source chemical profiles, necessary in CMB modeling, were obtained for a variety of emission sources that could possibly affect the study area, including sea spray, geological material, soot emissions from the nearby oil-fuelled thermal power plant, and other anthropogenic activities, such as vehicular traffic, residential oil combustion, wood burning, and uncontrolled open-air burning of agricultural biomass and municipal waste. Source apportionment of PM(10) and elemental components was carried out by employing an advanced CMB version, the Robotic Chemical Mass Balance model (RCMB). Vehicular emissions were found to be major PM(10) contributor accounting, on average, for 36.8% and 31.7% during the cold period, and for 40.9% and 39.2% in the warm period at the two sites, respectively. The second largest source of ambient PM(10), with minor seasonal variation, was secondary sulfates (mainly ammonium and calcium sulfates), with total average contribution around 16.5% and 18% at the two sites. Soil dust was also a remarkable source contributing around 22% in the warm period, whereas only around 10% in the cold season. Soot emitted from the thermal power plant was found to be negligible contributor to ambient PM(10) (<1%), however it appeared to appreciably contribute to the ambient V and Ni (11.3% and 5.1%, respectively) at one of the sites during the warm period, when electricity production is intensified. Trajectory analysis did not indicate any transport of Sahara dust; on the contrary, long range transport of soil dust from arid continental regions of Minor Asia and of biomass burning aerosol from the countries surrounding the Black Sea was considered possible.

  11. PM10 source apportionment applying PMF and chemical tracer analysis to ship-borne measurements in the Western Mediterranean

    Science.gov (United States)

    Bove, M. C.; Brotto, P.; Calzolai, G.; Cassola, F.; Cavalli, F.; Fermo, P.; Hjorth, J.; Massabò, D.; Nava, S.; Piazzalunga, A.; Schembari, C.; Prati, P.

    2016-01-01

    A PM10 sampling campaign was carried out on board the cruise ship Costa Concordia during three weeks in summer 2011. The ship route was Civitavecchia-Savona-Barcelona-Palma de Mallorca-Malta (Valletta)-Palermo-Civitavecchia. The PM10 composition was measured and utilized to identify and characterize the main PM10 sources along the ship route through receptor modelling, making use of the Positive Matrix Factorization (PMF) algorithm. A particular attention was given to the emissions related to heavy fuel oil combustion by ships, which is known to be also an important source of secondary sulphate aerosol. Five aerosol sources were resolved by the PMF analysis. The primary contribution of ship emissions to PM10 turned out to be (12 ± 4)%, while secondary ammonium sulphate contributed by (35 ± 5)%. Approximately, 60% of the total sulphate was identified as secondary aerosol while about 20% was attributed to heavy oil combustion in ship engines. The measured concentrations of methanesulphonic acid (MSA) indicated a relevant contribution to the observed sulphate loading by biogenic sulphate, formed by the atmospheric oxidation of dimethyl sulphide (DMS) emitted by marine phytoplankton.

  12. Characterization of PM 10 and PM 2.5 source profiles for fugitive dust in Hong Kong

    Science.gov (United States)

    Ho, K. F.; Lee, S. C.; Chow, Judith C.; Watson, John G.

    PM 10 and PM 2.5 chemical source profiles from Hong Kong were investigated for paved road dust and soil. These profiles are needed for urban-scale speciated emissions inventories and for source apportionment by receptor modeling. Five urban soil and five paved road dust samples were collected, dried and sieved, resuspended in a laboratory chamber, air drawn through PM 10 and PM 2.5 inlet onto Teflon and quartz filters. The filter samples were submitted for both gravimetric and chemical analyses. Chemical analyses included X-ray fluorescence for elemental composition, ion chromatography for water soluble chloride, nitrate, sulfate, atomic absorption spectrophotometry for water soluble sodium and potassium, automated colorimetric analysis for ammonium and thermal/optical reflectance analysis for carbon species. The PM 2.5 constituted 11-30% of the PM 10 in all geological samples. Al, Si and organic carbon (OC) are abundant constituents in all paved road dust and soil samples. The chemical abundances of PM 2.5 and PM 10 for a given source type were similar for most species. In addition, results from resuspended soil (three sets), paved road dust (five sets), aggregate (three sets) and cement (two sets) were obtained from Hong Kong Environmental Protection Department (HKEPD) for comparison as well as mass closure analysis.

  13. Sources of the PM10 aerosol in Flanders, Belgium, and re-assessment of the contribution from wood burning

    Energy Technology Data Exchange (ETDEWEB)

    Maenhaut, Willy, E-mail: willy.maenhaut@ugent.be [Ghent University (UGent), Department of Analytical Chemistry, Krijgslaan 281, S12, B-9000 Gent (Belgium); University of Antwerp - UA, Department of Pharmaceutical Sciences, Universiteitsplein 1, B-2610, Antwerpen (Belgium); Vermeylen, Reinhilde; Claeys, Magda [University of Antwerp - UA, Department of Pharmaceutical Sciences, Universiteitsplein 1, B-2610, Antwerpen (Belgium); Vercauteren, Jordy; Roekens, Edward [Flemish Environment Agency (VMM), Kronenburgstraat 45, B-2000, Antwerpen (Belgium)

    2016-08-15

    From 30 June 2011 to 2 July 2012 PM10 aerosol samples were simultaneously taken every 4th day at four urban background sites in Flanders, Belgium. The sites were in Antwerpen, Gent, Brugge, and Oostende. The PM10 mass concentration was determined by weighing; organic and elemental carbon (OC and EC) were measured by thermal-optical analysis, the wood burning tracers levoglucosan, mannosan and galactosan were determined by gas chromatography/mass spectrometry, 8 water-soluble ions were measured by ion chromatography, and 15 elements were determined by a combination of inductively coupled plasma atomic emission spectrometry and mass spectrometry. The multi-species dataset was subjected to receptor modeling by PMF. The 10 retained factors (with their overall average percentage contributions to the experimental PM10 mass) were wood burning (9.5%), secondary nitrate (24%), secondary sulfate (12.6%), sea salt (10.0%), aged sea salt (19.2%), crustal matter (9.7%), non-ferrous metals (1.81%), traffic (10.3%), non-exhaust traffic (0.52%), and heavy oil burning (3.0%). The average contributions of wood smoke for the four sites were quite substantial in winter and ranged from 12.5 to 20% for the PM10 mass and from 47 to 64% for PM10 OC. Wood burning appeared to be also a notable source of As, Cd, and Pb. The contribution from wood burning to the PM10 mass and OC was also assessed by making use of levoglucosan as single marker compound and the conversion factors of Schmidl et al. (2008), as done in our previous study on wood burning in Flanders (Maenhaut et al., 2012). However, the apportionments were much lower than those deduced from PMF. It seems that the conversion factors of Schmidl et al. (2008) may not be applicable to wood burning in Flanders. From scatter plots of the PMF-derived wood smoke OC and PM versus levoglucosan, we arrived at conversion factors of 9.7 and 22.6, respectively. - Highlights: • A one-year study with 4 urban background sites and a total of 372

  14. Development of point source PM10 measurement methods

    Energy Technology Data Exchange (ETDEWEB)

    McCain, J.D.; Fowler, C.S.; Farthing, W.E. [Southern Research Institute, Birmingham, AL (United States)

    1994-09-01

    The purpose is to develop measurement methods for sampling high temperature and high moisture flue gases that contain particles with diameters larger than 10 micrometres. In a procedure developed to sample wet sources, the large droplets are removed and the sample gas stream is heated to dry the smaller droplets. Special construction materials and an air cooled probe are required to sample high temperature sources. The hardware and methodology developed for these procedures (EPA Methods 201 and 201A) are suitable for measuring PM{sub 10} emissions. Adaptation of these methods to solve some of the difficulties of measuring and characterizing particulate emissions is discussed. Background, the right angle precollector (RAPC), and development and testing of prototypes of a high temperature system and a wet source system are described. 14 refs., 5 figs.

  15. Urban aerosol in Oporto, Portugal: Chemical characterization of PM10 and PM2.5

    Science.gov (United States)

    Custódio, Danilo; Ferreira, Catarina; Alves, Célia; Duarte, Mácio; Nunes, Teresa; Cerqueira, Mário; Pio, Casimiro; Frosini, Daniele; Colombi, Cristina; Gianelle, Vorne; Karanasiou, Angeliki; Querol, Xavier

    2014-05-01

    Several urban and industrial areas in Southern Europe are not capable of meeting the implemented EU standards for particulate matter. Efficient air quality management is required in order to ensure that the legal limits are not exceeded and that the consequences of poor air quality are controlled and minimized. Many aspects of the direct and indirect effects of suspended particulate matter on climate and public health are not well understood. The temporal variation of the chemical composition is still demanded, since it enables to adopt off-set strategies and to better estimate the magnitude of anthropogenic forcing on climate. This study aims to provide detailed information on concentrations and chemical composition of aerosol from Oporto city, an urban center in Southern Europe. This city is located near the coast line in the North of Portugal, being the country's second largest urban area. Moreover, Oporto city economic prospects depend heavily on a diversified industrial park, which contribute to air quality degradation. Another strong source of air pollution is traffic. The main objectives of this study are: 1) to characterize the chemical composition of PM10 and PM2.5 by setting up an orchestra of aerosol sampling devices in a strategic place in Oporto; 2) to identify the sources of particles exploring parameters such as organic and inorganic markers (e.g. sugars as tracers for biomass burning; metals and elemental carbon for industrial and vehicular emissions); 3) to evaluate long range transport of pollutants using back trajectory analysis. Here we present data obtained between January 2013 and January 2014 in a heavy traffic roadside sampling site located in the city center. Different PM10 and PM2.5 samplers were operated simultaneously in order to collect enough mass on different filter matrixes and to fulfill the requirements of analytical methodologies. More than 100 aerosol samples were collected and then analysed for their mass concentration and

  16. Ambiental dust speciation and metal content variation in TSP, PM 10 and PM 2.5 in urban atmospheric air of Harare (Zimbabwe).

    Science.gov (United States)

    Kuvarega, A T; Taru, P

    2008-09-01

    Levels of TSP, PM(10) and PM(2.5) as well as levels of Pb, Co, Ni and Cd in TSP, PM(10) and PM(2.5) have been determined in atmospheric particulates collected at Loius Mountbatten School (Harare). The samples were collected for a period of 6 months from July to December 2002. The average levels of TSP, PM(10) and PM(2.5) measured at the site are 106.11, 59.70 and 40.55 mg m(-3) respectively. The average level of TSP at Loius Mountbatten School is 106.11 mg m(-3), which is higher than the annual WHO guideline limit of 90 mg m(-3). The average level of PM(10) measured at Loius Mountbatten School is 59.70 mg m(-3), and is higher than the US-EPA and UK-EU guideline limit of 50 mg m(-3). The average level of PM(2.5) measured at the site are also higher than the WHO and US-EPA annual guideline limit of 15 mg m(-3). The analysis of metal concentrations in TSP, PM(10) and PM(2.5) was done using Graphite Furnace Atomic Absorption Spectrometry (GFAAS). The analysis showed the following average elemental concentrations: 0.157 mg Pb m(-3) in TSP, 0.166 mg Pb m(-3) in PM(10), 0.185 mg Pb m(-3) in PM(2.5), 0.009 mg Co m(-3) in TSP, 0.007 mg Co m(-3) in PM(10), 0.011 mg Co m(-3) in PM(2.5), 0.223 mg Ni m(-3) in TSP, 0.166 mg Ni m(-3) in PM(10), 0.180 mg Ni m(-3) in PM(2.5) and 0.005 mg Cd m(-3) in TSP, 0.006 mg Cd m(-3) in PM(10), 0.005 mg Cd m(-3) in PM(2.5). The levels of Pb and Ni were generally higher than those of Co and Cd and this could have been due to high traffic volumes and various industrial activities in the Workington Industrial Area.

  17. Dynamic evaluation of a multi-year model simulation of particulate matter concentrations over Europe

    Directory of Open Access Journals (Sweden)

    È. Lecœur

    2013-04-01

    Full Text Available A 9 yr air quality simulation is conducted from 2000 to 2008 over Europe using the Polyphemus/Polair3D chemical-transport model (CTM and then evaluated against the measurements of the European Monitoring and Evaluation Programme (EMEP. The spatial distribution of PM2.5 over Europe shows high concentrations over northern Italy (36 μg m−3 and some areas of Eastern Europe, France, and Benelux, and low concentrations over Scandinavia, Spain, and the easternmost part of Europe. PM2.5 composition differs among regions. The operational evaluation shows satisfactory model performance for ozone (O3. PM2.5, PM10, and sulfate (SO4= meet the performance goal of Boylan and Russell (2006. Nitrate (NO3− and ammonium (NH4+ are overestimated, although NH4+ meets the performance criterion. The correlation coefficients between simulated and observed data are 63% for O3, 57% for PM10, 59% for PM2.5, 57% for SO4=, 42% for NO3−, and 58% for NH4+. The comparison with other recent 1 yr model simulations shows that all models overestimate nitrate. The performance of PM2.5, sulfate, and ammonium is comparable to that of the other models. The dynamic evaluation shows that the response of PM2.5 to changes in meteorology differs depending on location and the meteorological variable considered. Wind speed and precipitation show a strong negative day-to-day correlation with PM2.5 and its components (except for sea salt, which shows a positive correlation, which tends towards 0 as the day lag increases. On the other hand, the correlation coefficient is near constant for temperature, for any day lag and PM2.5 species, but it may be positive or negative depending on the species and, for sulfate, depending on the location. The effects of precipitation and wind speed on PM2.5 and its components are better reproduced by the model than the effects of temperature. This is mainly due to the fact that temperature has different effects on the PM2.5 components, unlike

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

    Science.gov (United States)

    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.

  19. 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...

  20. 40 CFR 52.1423 - PM10 State implementation plan development in group II areas.

    Science.gov (United States)

    2010-07-01

    ... development in group II areas. 52.1423 Section 52.1423 Protection of Environment ENVIRONMENTAL PROTECTION...) Nebraska § 52.1423 PM10 State implementation plan development in group II areas. The state of Nebraska... classified as Group II areas for the purpose of PM10 State Implementation Plan (SIP) development....

  1. Oxidative damages to DNA by indoor PM10s: Their relationships with trace element compositions

    Institute of Scientific and Technical Information of China (English)

    SHAO Longyi; ZHAO Houyin; T. P. JONES; LU Senlin; L. MEROLLA

    2005-01-01

    Plasmid DNA assay and ICP-MS analysis were conducted in order to investigate the bioreactivity of inhalable particles (PM10) and the relationship between bioreactivity and trace element compositions of PM10 in Beijing air. A total of four PM10 samples were carefully selected to represent the indoor and corresponding outdoor environments: one from urban smoker's home, two from nonsmoker's homes, and the other from the outdoor. In general, the oxidative damage by indoor PM10 was slightly higher than that of outdoor. Among the four sets of samples, the PM10 from the smoker's home hada lowest TD50 (toxic dose of PM10 causing 50% DNA to damage to plasmid DNA. The ICP-MS analysis combined with the DNA assay showed that the water-soluble zinc levels had better relationship with TD50 values than other elements, implying that water-soluble zinc might play an important role in the damage of DNA. It is concluded that the PM10 in smoker' s home had the highest level of water-soluble zinc as well as the lowest TD50 ( highest bioreactivity).Iron is considered to be one of the most bioreactive elements, but it will cause little damage to plasmid DNA, probably because iron is mainly in water-insoluble state in Beijing PM10.

  2. Measured and modelled concentrations and vertical profiles of airborne particulate matter within the boundary layer of a street canyon.

    Science.gov (United States)

    Colls, J J; Micallef, A

    1999-09-01

    Concentrations and vertical profiles of various fractions of airborne particulate matter (suspended particulate matter (SPM), PM10 and PM2.5) have been measured over the first three metres from ground in a street canyon. Measurements were carried out using automated near real-time apparatus called the Kinetic Sequential Sampling (KSS) system. KSS system is essentially an electronically-controlled lift carrying a real-time particle monitor for sampling air sequentially, at different heights within the breathing zone, which includes all heights within the surface layer of a street canyon at which people may breathe. Data is automatically logged at the different receptor levels, for the determination of the average vertical concentration profile of airborne particulate matter. For measuring the airborne particle concentration, a Grimm Dust Monitor 1.104/5 was used. The recorded data also allows for time series analysis of airborne particulate matter concentration at different heights. Time series data and hourly-average vertical concentration profiles in the boundary layer of the confines of a street are thought to be mainly determined by traffic emissions and traffic associated processes. Hence the measured data were compared with results of a street canyon emission-dispersion model in time and space. This Street Level Air Quality (SLAQ) model employs the plume-box technique and includes modules for simulating vehicle-generated effects such as thermally- and mechanically-generated turbulence and resuspension of road dust. Environmental processes, such as turbulence resulting from surface sensible heat and the formation of sulphate aerosol from sulphur dioxide exhaust emissions, are taken into account. The paper presents an outline description of the measuring technique and model used, and a comparison of the measured and modelled data.

  3. Spatio-temporal modeling of particulate air pollution in the conterminous United States using geographic and meteorological predictors

    Science.gov (United States)

    2014-01-01

    Background Exposure to atmospheric particulate matter (PM) remains an important public health concern, although it remains difficult to quantify accurately across large geographic areas with sufficiently high spatial resolution. Recent epidemiologic analyses have demonstrated the importance of spatially- and temporally-resolved exposure estimates, which show larger PM-mediated health effects as compared to nearest monitor or county-specific ambient concentrations. Methods We developed generalized additive mixed models that describe regional and small-scale spatial and temporal gradients (and corresponding uncertainties) in monthly mass concentrations of fine (PM2.5), inhalable (PM10), and coarse mode particle mass (PM2.5–10) for the conterminous United States (U.S.). These models expand our previously developed models for the Northeastern and Midwestern U.S. by virtue of their larger spatial domain, their inclusion of an additional 5 years of PM data to develop predictions through 2007, and their use of refined geographic covariates for population density and point-source PM emissions. Covariate selection and model validation were performed using 10-fold cross-validation (CV). Results The PM2.5 models had high predictive accuracy (CV R2=0.77 for both 1988–1998 and 1999–2007). While model performance remained strong, the predictive ability of models for PM10 (CV R2=0.58 for both 1988–1998 and 1999–2007) and PM2.5–10 (CV R2=0.46 and 0.52 for 1988–1998 and 1999–2007, respectively) was somewhat lower. Regional variation was found in the effects of geographic and meteorological covariates. Models generally performed well in both urban and rural areas and across seasons, though predictive performance varied somewhat by region (CV R2=0.81, 0.81, 0.83, 0.72, 0.69, 0.50, and 0.60 for the Northeast, Midwest, Southeast, Southcentral, Southwest, Northwest, and Central Plains regions, respectively, for PM2.5 from 1999–2007). Conclusions Our models provide

  4. Temporal profile of PM10 and associated health effects in one of the most polluted cities of the world (Ahvaz, Iran) between 2009 and 2014

    Science.gov (United States)

    Maleki, Heidar; Sorooshian, Armin; Goudarzi, Gholamreza; Nikfal, Amirhossein; Baneshi, Mohammad Mehdi

    2016-09-01

    Ahvaz, Iran ranks as the most polluted city of the world in terms of PM10 concentrations that lead to deleterious effects on its inhabitants. This study examines diurnal, weekly, monthly and annual fluctuations of PM10 between 2009 and 2014 in Ahvaz. Health effects of PM10 levels are also assessed using the World Health Organization AirQ software. Over the study period, the mean PM10 level in Ahvaz was 249.5 μg m-3, with maximum and minimum values in July (420.5 μg m-3) and January (154.6 μg m-3), respectively. The cumulative diurnal PM10 profile exhibits a dominant peak between 08:00-11:00 (local time) with the lowest levels in the afternoon hours. While weekend PM10 levels are not significantly reduced as compared to weekdays, an anthropogenic signature is instead observed diurnally on weekdays, which exhibit higher PM10 levels between 07:00-17:00 by an average amount of 14.2 μg m-3 as compared to weekend days. PM10 has shown a steady mean-annual decline between 2009 (315.2 μg m-3) and 2014 (143.5 μg m-3). The AirQ model predicts that mortality was a health outcome for a total of 3777 individuals between 2009 and 2014 (i.e., 630 per year). The results of this study motivate more aggressive strategies in Ahvaz and similarly polluted desert cities to reduce the health effects of the enormous ambient aerosol concentrations.

  5. 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.

  6. New Preisach model for structured particulate ferromagnetic media

    Energy Technology Data Exchange (ETDEWEB)

    Stancu, Alexandru [Faculty of Physics, Department of Electricity and Electronics, ' Alexandru Ioan Cuza' University, Blvd. Carol I, 700506 Iasi (Romania)]. E-mail: alstancu@uaic.ro; Stoleriu, Laurentiu [Faculty of Physics, Department of Electricity and Electronics, ' Alexandru Ioan Cuza' University, Blvd. Carol I, 700506 Iasi (Romania); Postolache, Petronel [Faculty of Physics, Department of Electricity and Electronics, ' Alexandru Ioan Cuza' University, Blvd. Carol I, 700506 Iasi (Romania); Tanasa, Radu [Faculty of Physics, Department of Electricity and Electronics, ' Alexandru Ioan Cuza' University, Blvd. Carol I, 700506 Iasi (Romania)

    2005-04-15

    In this paper a Preisach-type model, named Preisach model for patterned media (PMPM, or PM{sup 2}), that successfully describes magnetization processes in structured particulate ferromagnetic media and in strongly correlated particulate media is presented. The PM{sup 2} provides explicit expressions for the magnetization curves, which makes it numerically very efficient. It obeys the exact wiping-out property and describes non-congruent minor hysteresis loops measured within given field limits.

  7. The effect of long-range air mass transport pathways on PM10 and NO2 concentrations at urban and rural background sites in Ireland: Quantification using clustering techniques.

    Science.gov (United States)

    Donnelly, Aoife A; Broderick, Brian M; Misstear, Bruce D

    2015-01-01

    The specific aims of this paper are to: (i) quantify the effects of various long range transport pathways nitrogen dioxide (NO2) and particulate matter with diameter less than 10μm (PM10) concentrations in Ireland and identify air mass movement corridors which may lead to incidences poor air quality for application in forecasting; (ii) compare the effects of such pathways at various sites; (iii) assess pathways associated with a period of decreased air quality in Ireland. The origin of and the regions traversed by an air mass 96h prior to reaching a receptor is modelled and k-means clustering is applied to create air-mass groups. Significant differences in air pollution levels were found between air mass cluster types at urban and rural sites. It was found that easterly or recirculated air masses lead to higher NO2 and PM10 levels with average NO2 levels varying between 124% and 239% of the seasonal mean and average PM10 levels varying between 103% and 199% of the seasonal mean at urban and rural sites. Easterly air masses are more frequent during winter months leading to higher overall concentrations. The span in relative concentrations between air mass clusters is highest at the rural site indicating that regional factors are controlling concentration levels. The methods used in this paper could be applied to assist in modelling and forecasting air quality based on long range transport pathways and forecast meteorology without the requirement for detailed emissions data over a large regional domain or the use of computationally demanding modelling techniques.

  8. 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.

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

    Energy Technology Data Exchange (ETDEWEB)

    Sapini, Muhamad Luqman [Pusat Pengajian Matematik, Fakulti Sains Komputer & Matematik Universiti Teknologi MARA Kampus Seremban, 70300 Negeri Sembilan (Malaysia); Rahim, Nurul Zahirah binti Abd [Pengajian Matematik, Fakulti Sains Komputer & Matematik Universiti Teknologi MARA Kampus Jasin, 77000 Melaka (Malaysia); Noorani, Mohd Salmi Md. [Pusat Pengajian Sains Matematik, Fakulti Sains & Teknologi Universiti Kebangsaan Malaysia, 43650 Selangor (Malaysia)

    2015-10-22

    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.

  10. Particulate matter urban air pollution from traffic car

    Science.gov (United States)

    Filip, G. M.; Brezoczki, V. M.

    2017-05-01

    The particulate matters (PM) are very important compounds of urban air pollution. There are a lot of air pollution sources who can generate PM and one of the most important of them it is urban traffic car. Air particulate matters have a major influence on human health so everywhere are looking for PM reducing solutions. It is knows that one of the solution for reduce the PM content from car traffic on ambient urban air is the fluidity of urban traffic car by introduction the roundabout intersections. This paper want to present some particulate matter determinations for PM10 and PM2.5 conducted on the two types of urban intersection respectively traffic light and roundabout intersections in Baia Mare town in the approximate the same work conditions. The determinations were carried out using a portable particulate matter monitor Haz - Dust model EPAM - 5000, who can provide a real time data for PM10, PM 2.5.Determinations put out that there are differences between the two locations regarding the PM content on ambient air. On roundabout intersection the PM content is less than traffic light intersection for both PM10 and PM 2.5 with more than 30%.

  11. 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

  12. Automated particulate sampler field test model operations guide

    Energy Technology Data Exchange (ETDEWEB)

    Bowyer, S.M.; Miley, H.S.

    1996-10-01

    The Automated Particulate Sampler Field Test Model Operations Guide is a collection of documents which provides a complete picture of the Automated Particulate Sampler (APS) and the Field Test in which it was evaluated. The Pacific Northwest National Laboratory (PNNL) Automated Particulate Sampler was developed for the purpose of radionuclide particulate monitoring for use under the Comprehensive Test Ban Treaty (CTBT). Its design was directed by anticipated requirements of small size, low power consumption, low noise level, fully automatic operation, and most predominantly the sensitivity requirements of the Conference on Disarmament Working Paper 224 (CDWP224). This guide is intended to serve as both a reference document for the APS and to provide detailed instructions on how to operate the sampler. This document provides a complete description of the APS Field Test Model and all the activity related to its evaluation and progression.

  13. CFD Modeling of Particulate Matter Dispersion from Kerman Cement Plant

    Directory of Open Access Journals (Sweden)

    M. Panahandeh

    2010-04-01

    Full Text Available "n "n "nBackgrounds and Objectives: The dispersion of particulate matter has been known as the most serious environmental pollution of cement plants. In the present work, dispersion of the particulate matter from stack of Kerman Cement Plant was investigated using Computational Fluid Dynamics (CFD modeling."nMaterials and Methods: In order to study the dispersion of particulate matter from the stack, a calculation domain with dimensions of 8000m × 800m × 400m was considered. The domain was divided to 936781 tetrahedral control volumes. The mixture two-phase model was employed to model the interaction of the particulate matter (dispersed phase and air (continuous phase. The Large Eddy Simulation (LES method was used for turbulence modeling."nResults: The concentration of particulate matter in the whole calculation domain was computed. The predicted concentrations were compared to the measured values from the literature and a good agreement was observed. The predicted concentration profiles at different cross sections were analyzed."nConclusion:The results of the present work showed that CFD is a useful tool for understanding the dispersion of particulate matter in air. Although the obtained results were promising, more investigations on the properties of the dispersed phase, turbulent parameters and the boundary layer effect is needed to obtain more accurate results.

  14. 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.

  15. Twelve-Year Trends of PM10 and Visibility in the Hefei Metropolitan Area of China

    Directory of Open Access Journals (Sweden)

    Lin Huang

    2016-01-01

    Full Text Available China has been experiencing severe air pollution and previous studies have mostly focused on megacities and a few hot spot regions. Hefei, the provincial capital city of Anhui province, has a population of near 5 million in its metropolitan area, but its air quality has not been reported in literature. In this study, daily PM10 and visibility data in 2001–2012 were analyzed to investigate the air quality status as well as the twelve-year pollution trends in Hefei. The results reveal that Hefei has been suffering high PM10 pollution and low visibility during the study period. The annual average PM10 concentrations are 2~3 times of the Chinese Ambient Air Quality Standard. PM10 shows fluctuating variation in 2001–2007 and has a slightly decreasing trend after 2008. The annual average visibility range is generally lower than 7 km and shows a worsening trend from 2001 to 2006 followed by an improving trend from 2007 to 2012. Wind speed, precipitation, and relative humidity have negative effects on PM10 concentrations in Hefei, while temperature could positively or negatively affect PM10. The results provide a general understanding of the status and long-term trends of PM10 pollution and visibility in a typical second-tier city in China.

  16. Pollution of PM10 in an underground enclosed loading dock in Malaysia

    Science.gov (United States)

    Abualqumboz, M. S.; Mohammed, N. I.; Malakahmad, A.; Nazif, A. N.; Albattniji, A. T.

    2016-06-01

    The enclosed nature of underground loading docks results in accumulation of motor vehicles emissions. Thus, concentration of numerous harmful air pollutants including PM10 particles can increase and reach dangerous levels. This paper aims to study short-term and long-term exposure of PM10 particles inside an underground loading dock located in Malaysia. In addition, the correlation with indoor temperature, relative humidity and vehicles flow will be measured. The concentrations of PM10 were measured for three consecutive weeks using the real-time air quality monitoring instrument AQM60. Series of statistical tests and multiple linear regression analysis were applied on the data using SPSS software and MATLAB R2013a. The results illustrated that PM10 daily average concentration was in compliance with the Malaysian guideline of 150 µg/m3. Actually, 95% of instantaneous PM10 concentration readings were below 75 μg/m3. In addition, significant correlation were found between PM10 concentration and indoor temperature, relative humidity and the previous concentration. The multiple R and R2 were 0.91 and 0.83, respectively. PM10 concentration was also correlated with motor vehicles flow. In conclusion, health effects of long-term exposure to small repetitive doses of air pollutant inside underground facilities should be studied and appropriate control measures need to be implemented.

  17. PM10 distribution using remotely sensed data and GIS techniques; Klang Valley, Malaysia

    Directory of Open Access Journals (Sweden)

    Jamil Amanollahi

    2011-01-01

    Full Text Available Remote sensing and GIS have been increasingly used for air pollution monitoring in past decade. In this study the distribution of PM10 were measured at eight air quality monitoring stations in Klang Valley. The attempt was carried out in GIS environment. The data are belonging to the beginning of the week –Monday- and weekend –Saturday-. Aerosol optical thickness (AOT values retrieved from Moderate Resolution Imaging Spectroradiometer (MODIS were interpolated in GIS for comparison with ground station PM10 data. The validation between AOT and amount of PM10 in the atmosphere were analyzed using non-linear correlation coefficient (NLCC for 2004. Results showed that the amount of PM10 at the beginning of the week is higher than the weekend. Remote sensing data showed better distribution of PM10 than ground station data. The NLCC results had a range from (0.10 at Petaling Jaya to (0.61 at Shah Alam. This study shows that GIS is useful tool to generate distribution map of PM10. This study shows that MODIS AOT data are able to present the amount of PM10 over large spatial scales that there is no ground stations air quality monitoring.

  18. Concentration and chemical composition of PM10 particles in the metropolitan area of ​Costa Rica in 2012

    Directory of Open Access Journals (Sweden)

    Jorge Herrera

    2014-12-01

    Full Text Available During 2012 the PM10 concentrations were measured in 13 sampling sites distributed in the metropolitan area of Costa Rica. The samples were collected using high volume samplers and subsequently analyzed for: ions (F-, Cl-, NO2-, NO3-, PO43-, SO42-, trace metals (V, Cr, Cu, Mn, Fe, Al, Pb, Ni, organic and elemental carbon content. Sampling sites located in high traffic commercial and industrial zones exhibited significative increased concentrations (42 – 29 µg/m3 compared to low traffic commercial and residential zones (23 – 15 µg/m3. As for speciation, crustal contribution increases from 13-14 % found in high traffic industrial zones to 28 % in residential zones. While marine aerosol contribution ranges from 2,5 to 5% for all sampling sites without a distinctive pattern. The OC and EC fraction was the most important contribution to the PM10 composition, mainly in HE-01 and BE-01 sampling sites accounting for around 53 and 56 % of the total mass. This reflects the importance of combustion sources to the fine particulate matter composition. In the case of the trace metals fraction it was the lowest one found for all the sampling sites.

  19. Impact of mineral components and selected trace metals on ambient PM10 concentrations

    Science.gov (United States)

    Limbeck, Andreas; Handler, Markus; Puls, Christoph; Zbiral, Johannes; Bauer, Heidi; Puxbaum, Hans

    PM10 levels of the mineral components Si, Al, Fe, Ca, Mg and some trace metals were measured at three different sites in the urban area of Vienna (Austria). Observed trace metal concentrations varied between less than 0.1 ng m -3 (Cd) and approximately 200 ng m -3 (Zn), mineral components showed enhanced concentrations ranging from 0.01 μg m -3 (Ca) to 16.3 μg m -3 (Si). The contribution of the respective mineral oxides to PM10 mass concentrations accounted on average for 26.4 ± 16% (n = 1090) of the PM10 mass, with enhanced rates in spring and autumn (monthly averages of up to 40%) and decreased contributions in the cold season (monthly averages below 10%). The atmospheric occurrence of Al, Ti and Sr could be assigned to crustal sources, whereas for the elements Ba, Ca, Fe, Mg, Mn and V an increased contribution of non-crustal origin was observed. PM10 levels of As, Cd, Co, Cr, Cu, Ni, Pb, Sb, Sn and Zn were predominantly derived from man-made emissions. Intersite comparison indicated that urban PM10 mass concentrations and PM10 levels of As, Pb and Zn were predominantly influenced from the transport of aerosols from outside into the city, whereas for the elements Ba, Mg, Ca, Cu and Fe a distinctly increased impact of local emissions was observed. The contribution of these urban emissions to total PM10 concentrations was estimated by calculating the so-called "urban impact", which was found to be 32.7 ± 18% (n = 392) in the case of PM10 mass concentrations. The investigated elements accounted on average for 31.3 ± 19% (n = 392) of the observed PM10 mass increase. The mean values for the "urban impacts" of individual elements varied between 25.5% (As) and 77.0% (Ba).

  20. Spatial & temporal variations of PM10 and particle number concentrations in urban air.

    Science.gov (United States)

    Johansson, Christer; Norman, Michael; Gidhagen, Lars

    2007-04-01

    The size of particles in urban air varies over four orders of magnitude (from 0.001 microm to 10 microm in diameter). In many cities only particle mass concentrations (PM10, i.e. particles road surface is an important factor for the highest PM10 concentrations observed. In Stockholm, road wear increases drastically due to the use of studded tires and traction sand on streets during winter; up to 90% of the locally emitted PM10 may be due to road abrasion. PM10 emissions and concentrations, but not PNC, at kerbside are controlled by road moisture. Annual mean urban background PM10 levels are relatively uniformly distributed over the city, due to the importance of long range transport. For PNC local sources often dominate the concentrations resulting in large temporal and spatial gradients in the concentrations. Despite these differences in the origin of PM10 and PNC, the spatial gradients of annual mean concentrations due to local sources are of equal magnitude due to the common source, namely traffic. Thus, people in different areas experiencing a factor of 2 different annual PM10 exposure due to local sources will also experience a factor of 2 different exposure in terms of PNC. This implies that health impact studies based solely on spatial differences in annual exposure to PM10 may not separate differences in health effects due to ultrafine and coarse particles. On the other hand, health effect assessments based on time series exposure analysis of PM10 and PNC, should be able to observe differences in health effects of ultrafine particles versus coarse particles.

  1. Seasonal and regional variations of source contributions for PM10 and PM2.5 in urban environment.

    Science.gov (United States)

    Tian, Ying-Ze; Shi, Guo-Liang; Huang-Fu, Yan-Qi; Song, Dan-Lin; Liu, Jia-Yuan; Zhou, Lai-Dong; Feng, Yin-Chang

    2016-07-01

    To characterize the sources of to PM10 and PM2.5, a long-term, speciate and simultaneous dataset was sampled in a megacity in China during the period of 2006-2014. The PM concentrations and PM2.5/PM10 were higher in the winter. Higher percentages of Al, Si, Ca and Fe were observed in the summer, and higher concentrations of OC, NO3(-) and SO4(2-) occurred in the winter. Then, the sources were quantified by an advanced three-way model (defined as an ABB three-way model), which estimates different profiles for different sizes. A higher percentage of cement and crustal dust was present in the summer; higher fractions of coal combustion and nitrate+SOC were observed in the winter. Crustal and cement contributed larger portion to coarse part of PM10, whereas vehicular and secondary source categories were enriched in PM2.5. Finally, potential source contribution function (PSCF) and source regional apportionment (SRA) methods were combined with the three-way model to estimate geographical origins. During the sampling period, the southeast region (R4) was an important region for most source categories (0.6%-11.5%); the R1 (centre region) also played a vital role (0.3-6.9%).

  2. The impact of airborne particulate matter on pediatric hospital admissions for pneumonia among Jinan children: a case-crossover study.

    Science.gov (United States)

    Lv, Chenguang; Wang, Xianfeng; Pang, Na; Wang, Lanzhong; Wang, Yuping; Xu, Tengfei; Zhang, Yu; Zhou, Tianran; Li, Wei

    2016-12-14

    This study aims to examine the effect of short-term changes in the concentration of particulate matter ≤2.5 µm (PM2.5) and ≤ 10 µm (PM10) on pediatric hospital admissions for pneumonia in Jinan, China. It explored confoundings factos of weather, season, and chemical pollutants. Information on pediatric hospital admissions for pneumonia in 2014 was extracted from the database of Jinan Qilu Hospital. The relative risk of pediatric hospital admissions for pneumonia was assessed using a case-crossover approach, controlling weather variables, day of the week, and seasonality. The single-pollutant model demonstrated that increased risk of pediatric hospital admissions for pneumonia was significantly associated with elevated PM2.5 concentrations the day before hospital admission and elevated PM10 concentrations two days before hospital admission. An increment of 10 μg/m(3) in PM2.5 and PM10 were correlated with a 6% (95% CI 1.02-1.10) and 4% (95% CI 1.00-1.08) rise in number of admissions for pneumonia, respectively. In two pollutant models, PM2.5 and PM10 remained significant after inclusion of sulfur dioxide or nitrogen dioxide but not carbon monoxide. This study demonstrated short-term exposure to atmospheric particulate matter (PM2.5/PM10) may be an important determinant of pediatric hospital admissions for pneumonia in Jinan, China. This study demonstrated short-term exposure to atmospheric particulate matter (PM2.5/PM10) may be an important determinant of pediatric hospital admissions for pneumonia in Jinan, China and suggested the relevance of pollutant exposure levels and their effects. As a specific group, children are sensitive to airborne particulate matter. This study estimated the short-term effects attribute to other air pollutants to provide references for relevant studies.

  3. Development of Land Use Regression models for particulate matter and associated components in a low air pollutant concentration airshed

    Science.gov (United States)

    Dirgawati, Mila; Heyworth, Jane S.; Wheeler, Amanda J.; McCaul, Kieran A.; Blake, David; Boeyen, Jonathon; Cope, Martin; Yeap, Bu Beng; Nieuwenhuijsen, Mark; Brunekreef, Bert; Hinwood, Andrea

    2016-11-01

    Perth, Western Australia represents an area where pollutant concentrations are considered low compared with international locations. Land Use Regression (LUR) models for PM10, PM2.5 and PM2.5 Absorbance (PM2.5Abs) along with their elemental components: Fe, K, Mn, V, S, Zn and Si were developed for the Perth Metropolitan area in order to estimate air pollutant concentrations across Perth. The most important predictor for PM10 was green spaces. Heavy vehicle traffic load was found to be the strongest predictor for PM2.5Abs. Traffic variables were observed to be the important contributors for PM10 and PM2.5 elements in Perth, except for PM2.5 V which had distance to coast as the predominant predictor. Open green spaces explained more of the variability in the PM10 elements than for PM2.5 elements, and population density was more important for PM2.5 elements than for PM10 elements. The PM2.5 and PM2.5Abs LUR models explained 67% and 82% of the variance, respectively, but the PM10 model only explained 35% of the variance. The PM2.5 models for Mn, V, and Zn explained between 70% and 90% of the variability in concentrations. PM10 V, Si, K, S and Fe models explained between 53% and 71% of the variability in respective concentrations. Testing the models using leave one-out cross validation, hold out validation and cross-hold out validation supported the validity of LUR models for PM10, PM2.5 and PM2.5Abs and their corresponding elements in Metropolitan Perth despite the relatively low concentrations.

  4. 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...

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

    OpenAIRE

    João Garcia; Rita Cerdeira; Luís Coelho; Prashant Kumar; Maria da Graça Carvalho

    2014-01-01

    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 considerin...

  6. PM10-biogenic fraction drives the seasonal variation of proinflammatory response in A549 cells.

    Science.gov (United States)

    Camatini, Marina; Corvaja, Viviana; Pezzolato, Eleonora; Mantecca, Paride; Gualtieri, Maurizio

    2012-02-01

    PM10 was collected in a Milan urban site, representative of the city air quality, during winter and summer 2006. Mean daily PM10 concentration was 48 μg m(-3) during summer and 148 μg m(-3) during winter. Particles collected on Teflon filters were chemically characterized and the endotoxin content determined by the LAL test. PM10-induced cell toxicity, assessed with MTT and LDH methods, and proinflammatory potential, monitored by IL-6 and IL-8 cytokines release, were investigated on the human alveolar epithelial cell line A549 exposed to increasing doses of PM. Besides untreated cells, exposure to inert carbon particles (2-12 μm) was also used as additional control. Both cell toxicity and proinflammatory potency resulted to be higher for summer PM10 with respect of winter PM10, with IL-6 showing the highest dose-dependent release. The relevance of biogenic components adsorbed onto PM10 in eliciting the proinflammatory mediators release was investigated by inhibition experiments. Polymixin B (Poly) was used to inhibit particle-bind LPS while Toll-like receptor-2 antibody (a-TLR2) to specifically block the activation of this receptor. While cell viability was not modulated in cells coexposed to PM10 and Poly or a-TLR2 or both, inflammatory response did it, with IL-6 release being the most inhibited. In conclusion, Milan PM10-induced seasonal-dependent biological effects, with summer particles showing higher cytotoxic and proinflammatory potential. Cytotoxicity seemed to be unaffected by the PM biogenic components, while inflammation was significantly reduced after the inhibition of some biogenic activated pathways. Besides, the PM-associated biogenic activity does not entirely justify the PM-induced inflammatory effects. © 2010 Wiley Periodicals, Inc. Environ Toxicol 2012.

  7. 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.

  8. Impact of Middle Eastern dust sources on PM10 in Iran: Highlighting the impact of Tigris-Euphrates basin sources and Lake Urmia desiccation

    Science.gov (United States)

    Sotoudeheian, Saeed; Salim, Reza; Arhami, Mohammad

    2016-12-01

    Contribution of different Middle Eastern dust origins to PM10 (PM with aerodynamic diameters less than 10 µm) levels in several receptor large cities in Iran was investigated. Initially, the major regional dust episodes were determined through statistical analysis of recorded PM levels at air quality stations and verified using satellite images. The particles dispersion was simulated by Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) to regenerate PM10 during the dust episodes. The accuracy of the modeled results was rather convincing, with an average squared correlation coefficient (R2) of 0.7 (max = 0.95). Consequently, the contributions of different dust sources to the observed concentrations were determined. Basin of Tigris-Euphrates Rivers encompasses active dust sources with significant rate of emission due to fluvial deposits. The sources in this basin with approximately 70-95% contribution, by far, had the most influence on PM10 levels at the receptor cities. In a finer resolution, northern and central parts of Iraq had the most influence on PM10 level during the dust episodes. Effect of probable improvement or deterioration of the current dust origin conditions on PM10 levels was analyzed by performing a sensitivity analysis through varying threshold friction velocities. The results demonstrated that 10% increase or decrease in threshold friction velocities of major dust sources could lead to average of 51% decrease or 77% increase in the receptor cities' PM10, respectively. Finally, effects of Lake Urmia desiccation, as a new hydrological prospect dust origin were analyzed. The predicted dust from the prospective dried lake bed could result in 30-60% increase in PM10 of nearby cities during the studied dust episodes.

  9. 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.

  10. Water soluble inorganic species of PM10 and PM2.5 at an urban site of Delhi, India: Seasonal variability and sources

    Science.gov (United States)

    Saxena, Mohit; Sharma, A.; Sen, A.; Saxena, Priyanka; Saraswati; Mandal, T. K.; Sharma, S. K.; Sharma, C.

    2017-02-01

    Comprehensive data of 2 years (2013-2014) of water soluble inorganic species (WSIS) in the particulate matter (PM10: mean: 233.0 ± 124.6 μg m- 3 and PM2.5: mean: 108.0 ± 86.5 μg m- 3) have been used to study seasonal effect on the variation of total WSIS concentration, composition variability of inorganic aerosols and extent to which secondary formation of sulfate and nitrate aerosol occurred from their precursor gases. Mean concentrations of total WSIS in PM10 and PM2.5 were 82.12 ± 72.15 μg m- 3 and 54.03 ± 49.22 μg m- 3, respectively during the study period. Concentrations of total WSIS (PM10: 140.11 ± 90.67 μg m- 3; PM2.5: 74.41 ± 47.55 μg m- 3) during winter season was recorded higher than summer, monsoon and spring seasons. Significant correlation (p alkaline species responsible for the neutralization of acidic components in the PM10 samples. Principal Component Analysis (PCA) showed that secondary aerosol, biomass burning and soil driven dust were the possible sources that explained 70% of the total variance. Cluster analysis and Concentration Weighted Trajectory (CWT) analysis for different season depicts the advection of air masses over the continental landmasses of Afghanistan (summer season), northwestern region of Pakistan (summer and winter season), marine region (monsoon season) and adjoining states of Delhi. These air masses from different regions could be the cause of an increase in PM10 and PM2.5 aerosol over the study site.

  11. Does maternal exposure to benzene and PM10 during pregnancy increase the risk of congenital anomalies? A population-based case-control study

    Science.gov (United States)

    Vinceti, Marco; Malagoli, Carlotta; Malavolti, Marcella; Cherubini, Andrea; Maffeis, Giuseppe; Rodolfi, Rossella; Heck, Julia E.; Astolfi, Gianni; Calzolari, Elisa; Nicolini, Fausto

    2015-01-01

    A few studies have suggested an association between maternal exposure to ambient air pollution from vehicular traffic and risk of congenital anomalies in the offspring, but epidemiologic evidence is neither strong nor entirely consistent. In a population-based case-control study in a Northern Italy community encompassing 228 cases of birth defects and 228 referent newborns, we investigated if maternal exposure to PM10 and benzene from vehicular traffic during early pregnancy, as estimated through a dispersion model, was associated with excess teratogenic risk. In conditional logistic regression analysis, and with adjustment for the other pollutant, we found that higher exposure to PM10 but not benzene was associated with increased risk of birth defects overall. Anomaly categories showing the strongest dose-response relation with PM10 exposure were musculoskeletal and chromosomal abnormalities but not cardiovascular defects, with Down syndrome being among the specific abnormalities showing the strongest association, though risk estimates particularly for the less frequent defects were statistically very unstable. Further adjustment in the regression model for potential confounders did not considerably alter the results. All the associations were stronger for average levels of PM10 than for their maximal level. Findings of this study give some support for an excess teratogenic risk following maternal exposure during pregnancy to PM10, but not benzene. Such association appears to be limited to some birth defect categories. PMID:26410719

  12. DNA adducts and PM(10) exposure in traffic-exposed workers and urban residents from the EPIC-Florence City study.

    Science.gov (United States)

    Palli, Domenico; Saieva, Calogero; Munnia, Armelle; Peluso, Marco; Grechi, Daniele; Zanna, Ines; Caini, Saverio; Decarli, Adriano; Sera, Francesco; Masala, Giovanna

    2008-09-15

    Air pollution and particulate matter in urban areas have been associated with increased mortality from cardiovascular and respiratory diseases and increased cancer risk. Carcinogenic effects of particulate matter have been related to the contents of specific compounds, such as polycyclic aromatic hydrocarbons. The latter may form bulky DNA adducts, that may be considered as candidate markers of cancer risk. We have recently shown that traffic-exposed workers and the general population in Florence have divergent levels of DNA adducts, possibly related to different levels of exposure to genotoxic agents from vehicle emissions. In the current study, in a series of 214 Florence City healthy adults enrolled in a prospective study in the period 1993-1998 (152 residents / 62 traffic-exposed workers), we investigated the correlation between individual levels of DNA bulky adducts and PM(10) exposure scores based on daily environmental measures provided by the local Environmental Protection Agency for the whole study period, by two types of urban monitoring stations (high- and low-traffic). We found that PM(10) cumulative scores from high-traffic stations over the last 1-2 weeks prior to blood drawing significantly correlated (r=0.58, p=0.02) with DNA adduct levels among non-smoking traffic-exposed workers (but not among residents with no occupational exposure to vehicle emissions). A multivariate regression analysis adjusted for possible confounders confirmed these findings. PM(10) scores from low-traffic stations did not show any correlation. These results show that DNA adduct levels in non-smoking workers reflect the average levels of exposure to PM(10) in high-traffic urban areas experienced over a time period of 1-2 weeks. Since DNA adduct levels have been found predictive of lung cancer risk, our findings provide clues relevant to the reduction of genotoxic damage and possibly cancer risk among traffic-exposed urban workers.

  13. Latitudinal gradient and interannual variation of PM10 concentration over eighty-six Chinese cities

    Directory of Open Access Journals (Sweden)

    G. Fu

    2009-11-01

    Full Text Available The spatial distribution of the aerosols over 86 major Chinese cities was constructed from 137 845 daily averaged PM10 (particles with diameter ≤10 μm concentrations calculated from air pollution index (API records spanning from summer 2000 to winter 2006. This dataset was based on days when PM10 was categorized as the principal pollutant, accounting for 91.6% of the total recorded days. The 83 cities in mid-eastern China (longitude 100° E to 130° E were separated into three latitudinal zones with the Qinlin Mountain – the Huaihe River and the Yunnan-Guizhou Plateau – the Jiangnan Hill – the Wuyi Mountain as the boundaries. The spatial distribution of PM10 was complicated; the high-value spots in northern China (concentration ranged from 127.1 to 192.1 μg m−3 included Urumchi, Lanzhou-Xining, Weinan-Xi'an, Taiyuan-Datong-Yangquan-Changzhi, Pingdingshan-Kaifeng, Beijing-Tianjin-Shijiazhuang, Jinan, and Shenyang-Anshan-Fushun; in the middle zone, the high PM10 spots (concentration within 119.1–146.6 μg m−3 were Chongqing-Chengdu-Luzhou, Changsha-Wuhan, and Nanjing-Hangzhou; while in the southern zone, four cities (Qujing, Guiyang, Guangzhou and Shaoguan showed higher PM10 concentration (>80 μg m−3. An overall latitudinal gradient was distinct; the median PM10 concentrations decreased from 108 μg m−3 for the 38 northern cities to 95 μg m−3 and 55 μg m−3 for the middle (26 cities and southern (19 cities zones, respectively. Linear regression between PM10 concentration and latitude of the cities also confirmed this gradient. PM10 concentration and the APIs exhibited similar seasonality with wintertime maxima and summertime minima, and the second highest values in spring. PM10 level showed a decreasing trend (−23.2 μg m−3 for the northern cities during 2000 to 2006. For the other two zones, the PM10 levels fluctuated, but showed unobvious change (−1.7 μg m−3 for the middle zone and increased slightly (+6.2

  14. Source apportionment of PM10 and PM2.5 near a large mining zone in Northern Chile

    Science.gov (United States)

    Jorquera, H.

    2008-12-01

    Chile's economic growth is mainly driven by intensive mining activities; currently Chile produces ~ 40% of copper worldwide. Most of those activities are located in northern Chile, in a desert region where strong regional winds contribute with soil erosion as well. The city of Calama (22.4°S, 68.9°W) is about 17 km south of Chuquicamata, one of the largest open pit copper mines in the world, both located on the west edge of the Andes; Calama is at 2,400 m asl and it is 215 km east of the Pacific Ocean. The mining complex releases ~ 21 kton/y of PM10 and ~ 78 kton/y of SO2 from a copper smelter. The levels of ambient PM10 have steadily increased at Calama in the last 5 years, so there is concern about the impacts from copper industry in the city´s inhabitants, most of who work in mining or related economic activities. A campaign was conducted at Calama between October and December 2007, sampling ambient PM10 and PM2.5 at several sites across the city. Filters were analyzed at the Desert Research Institute, Reno, NV for elemental composition by XRF and for elemental and organic carbon using thermal analysis. The application of positive matrix factorization (PMF) model identified four sources contributing to ambient PM2.5: secondary sulfates (49%), traffic emissions (37%), dust street (9%) and copper smelter emissions (5%). In the coarse fraction, four sources were identified: dust street (45%), wind erosion (34%), mineral processing (14%) and copper smelter emissions (7%). No natural background was found for PM2.5. For ambient PM10 the source apportionment obtained is: mining activities (33%), street dust (34%), wind erosion (22%) and traffic emissions (12%). With a current PM10 annual average of 58 μg/m3 and further mining activities projected in the area, there is a big challenge to improve air quality in the populated area close to the mining operations.

  15. 徐州市PM10污染原因与控制对策%PM10 Pollution Reason and Control Countermeasures in Xuzhou

    Institute of Scientific and Technical Information of China (English)

    徐蕾

    2012-01-01

      In accordance with the analysis on the natural elements, weather conditions, industry structure, coal-firing, ground fly dust, building construction, communication, cook and drink etc. in Xuzhou, the paper finds out the reason of PM10 pol ution in Xuzhou, and indicates to increase the treatment, to change the energy structure, to popularize the cleaner energy, to strengthen the management in the pol utions of road fly dust, building construction, vehicle, meal and drink as wel as incinerat-ing materials, to quicken the urban construction of eco-gardens, and to improve the control and countermeasures in the field of green level of the city zones from the industry structure, the adjustment of industry layout and pol ution sources. The paper also puts forward suggestions in order to control PM10 pol ution, and manage jointly from many sided organizations and departments.

  16. Chemical composition of PM2.5 and PM10 in Mexico City during winter 1997.

    Science.gov (United States)

    Chow, Judith C; Watson, John G; Edgerton, Sylvia A; Vega, Elizabeth

    2002-03-27

    PM2.5 and PM10 were measured over 24-h intervals at six core sites and at 25 satellite sites in and around Mexico City from 23 February to 22 March 1997. In addition, four 6-h samples were taken each day at three of the core sites. Sampling locations were selected to represent regional, central city, commercial, residential, and industrial portions of the city. Mass and light transmission concentrations were determined on all of the samples, while elements, ions and carbon were measured on approximately two-thirds of the samples. PM10 concentrations were highly variable, with almost three-fold differences between the highest and lowest concentrations. Fugitive dust was the major cause of PM10 differences, although carbon concentrations were also highly variable among the sampling sites. Approximately 50% of PM10 was in the PM2.5 fraction. The majority of PM mass was comprised of carbon, sulfate, nitrate, ammonium and crustal components, but in different proportions on different days and at different sites. The largest fine-particle components were carbonaceous aerosols, constituting approximately 50% of PM2.5 mass, followed by approximately 30% secondary inorganic aerosols and approximately 15% geological material. Geological material is the largest component of PM10, constituting approximately 50% of PM10 mass, followed by approximately 32% carbonaceous aerosols and approximately 17% secondary inorganic aerosols. Sulfate concentrations were twice as high as nitrate concentrations. Sulfate and nitrate were present as ammonium sulfate and ammonium nitrate. Approximately two-thirds of the ammonium sulfate measured in urban areas appears to have been transported from regions outside of the study domain, rather than formed from emissions in the urban area. Diurnal variations are apparent, with two-fold increases in concentration from night-time to daytime. Morning samples had the highest PM2.5 and PM10 mass, secondary inorganic aerosols and carbon concentrations

  17. Chemical characteristics of atmospheric dustfall and PM10 in Hangzhou%杭州市大气降尘与PM10化学组成特征的研究

    Institute of Scientific and Technical Information of China (English)

    徐虹; 林丰妹; 毕晓辉; 焦荔; 冯银厂; 洪盛茂; 刘文高

    2011-01-01

    2006年6~2008年5月,在杭州市采集了大气降尘和PM10样品以及3类PM10源样品,对样品中12种无机元素进行了分析.结果表明,杭州市大气降尘量与PM10浓度相对于国内其他城市均属于较低水平,二者的季节变化存在明显差异;降尘量和PM10浓度的空间分布特征存在相似性,均与人类活动的强度密切相关.空间分布显示除PM10在朝晖和玉泉两采样点的成分谱相似,各采样点降尘和PM10成分谱间的相似性均不高.PM10与各源类成分谱的相似性高于降尘与各源类成分谱的相似性,二者来源的差异可能是造成降尘和PM10化学组分特征不同的因为,其中PM10与城市扬尘的化学成分相似性最高.%Samples of dustfall and PM10 as well as source samples of PM10 were collected from June 2006 to May 2008 at four monitoring stations of Hangzhou City. Twelve metals were quantified: chromium, manganese, nickel, lead, zinc,cobalt, aluminum, iron, potassium, sodium, calcium and magnesium. The deposited dust amount and concentration of PM10 was lower than most of the other cities in China. The dustfall and PM10 had different seasonal changing-mode. The similarity of spatial distribution implicated that both the amount of dustfall and concentration of PM10 were influenced by human activities. The chemical components of PM10 between Zhaohui and Yuquan were similar, whereas there was no high similarity between PM10 and dustfall in those sampling stations. Combined with the profiles of three PM10 sources,the similarity between PM10 and its sources was higher than that between dustfall and PM10 sources. It indicated that the dustfall and PM10 might come from different sources and it may cause the differences between the chemical characteristics of the dustfall and that of PM10.

  18. Large-scale atmospheric circulation and local particulate matter concentrations in Bavaria - from current observations to future projections

    Science.gov (United States)

    Beck, Christoph; Weitnauer, Claudia; Brosy, Caroline; Hald, Cornelius; Lochbihler, Kai; Siegmund, Stefan; Jacobeit, Jucundus

    2016-04-01

    Particulate matter with an aerodynamic diameter of 10 μm or less (PM10) may have distinct adverse effects on human health. Spatial and temporal variations in PM10 concentrations reflect local emission rates, but are as well influenced by the local and synoptic-scale atmospheric conditions. Against this background, it can be furthermore argued that potential future climate change and associated variations in large-scale atmospheric circulation and local meteorological parameters will probably provoke corresponding changes in future PM10 concentration levels. The DFG-funded research project „Particulate matter and climate change in Bavaria" aimed at establishing quantitative relationships between daily and monthly PM10 indices at different Bavarian urban stations and the corresponding large-scale atmospheric circulation as well as local meteorological conditions. To this end, several statistical downscaling approaches have been developed for the period 1980 to 2011. PM10 data from 19 stations from the air quality monitoring network (LÜB) of the Bavarian Environmental Agency (LfU) have been utilized as predictands. Large-scale atmospheric gridded data from the NCEP/NCAR reanalysis data base and local meteorological observational data provided by the German Meteorological Service (DWD) served as predictors. The downscaling approaches encompass the synoptic downscaling of daily PM10 concentrations and several multivariate statistical models for the estimation of daily and monthly PM10, i.e.monthly mean and number of days exceeding a certain PM10 concentration threshold. Both techniques utilize objective circulation type classifications, which have been optimized with respect to their synoptic skill for the target variable PM10. All downscaling approaches have been evaluated via cross validation using varying subintervals of the 1980-2011 period as calibration and validation periods respectively. The most suitable - in terms of model skill determined from cross

  19. Factors influencing the variations of PM10 aerosol dust in Klang Valley, Malaysia during the summer

    Science.gov (United States)

    Juneng, Liew; Latif, Mohd Talib; Tangang, Fredolin

    2011-08-01

    The associations between the variations of PM10 concentration during summer monsoon dry seasons over the Klang Valley, Malaysia and the local meteorological factors, synoptic weather conditions as well as the regional hotspots number were examined based on simple multiple linear regression analysis. The regressive relationships established, suggest that the variation of PM10 in Klang Valley was governed significantly by all of the examined factors. Local meteorological conditions are among those factors which governed the largest day-to-day variations of PM10 concentration in the Klang Valley areas during the dry season. When augmented by synoptic meteorological variables and foreign emission sources, a remarkable increase in the explained variance was apparent. On the other hand, domestic burning sources only had a minimal impact on PM10 fluctuations. Important synoptic weather patterns which influence the air pollution variations were also identified. These synoptic conditions include the strengthening of the summer monsoon southwesterly winds over the equatorial area. In addition, the formation of cyclonic circulation, associated with typhoon formation over the north-west Pacific and the South China Sea as well as over the Bay of Bengal, are found to have had a profound impact on PM10 variations over the Malaysian region through the modulation of regional moisture distributions.

  20. Exposures to Particulate Matter from the Eruptions of the Puyehue Volcano and Birth Outcomes in Montevideo, Uruguay.

    Science.gov (United States)

    Balsa, Ana Ines; Caffera, Marcelo; Bloomfield, Juanita

    2016-11-01

    The ashes and dust resulting from the 2011 eruptions of the Puyehue volcano in Chile more than doubled monthly averages of PM10 concentrations in Montevideo, Uruguay. Few studies have taken advantage of natural experiments to assess the relationship between ambient air pollutant concentrations and birth outcomes. In this study we explored the effect of particulate matter with diameter of ≤ 10 μm (PM10) on perinatal outcomes in Uruguay, a middle-income country in South America with levels of PM10 that in general do not exceed the recommended thresholds. The analyzed outcomes are preterm birth, term birth weight, and term low birth weight. We took advantage of the sharp variation in PM10 concentrations due to the Puyehue eruptions to estimate the associations between mother's exposure to PM10 in each trimester of pregnancy and perinatal outcomes. We use birth registries for 2010-2013 and control for covariates, including maternal and pregnancy characteristics, weather, co-pollutants, and calendar quarter and hospital indicators. A 10-μg/m3 increase in exposure to PM10 during the third trimester was associated with a higher likelihood of a preterm birth [odds ratio (OR) = 1.10; 95% CI: 1.03, 1.19]. The association was robust to different model specifications, and increased with categorical exposure levels (OR for third-trimester PM10 ≥ 70 vs. Bloomfield J. 2016. Exposures to particulate matter from the eruptions of the Puyehue Volcano and birth outcomes in Montevideo, Uruguay. Environ Health Perspect 124:1816-1822; http://dx.doi.org/10.1289/EHP235.

  1. The fine and coarse particulate matter at four major Mediterranean cities: local and regional sources

    Science.gov (United States)

    Dimitriou, Konstantinos; Kassomenos, Pavlos

    2013-11-01

    Particulate air pollution is associated with adverse health effects to the population exposed. The aim of this paper is the identification of local and regional sources, affecting PM10 and PM2.5 levels in four large cities of southern Europe, namely: Lisbon, Madrid, Marseille, and Rome. Air pollution data from seven sampling sites of the European Union network were used. These stations were selected due to their ability of monitoring PM2.5 concentrations and providing reliable series of data. Each station's background was also taken into account. Pearson correlation coefficients and primal component analysis components were extracted separately for cold and warm periods in order to define the relationships among particle matters (PMs) and gaseous pollutants (CO, NO2, SO2, and O3) and evaluate the contributions of local sources. Possible seasonal variations of PM2.5/PM10 ratio daily values were also used as markers of PM sources, influencing particulate size distribution. Particle emissions were primarily attributed to traffic and secondarily to natural sources. Minimum daily values of PM2.5/PM10 ratio were observed during warm periods, particularly at suburban stations with rural background, due to dust resuspension and also due to the increase of biogenic coarse PM (pollen, dust, etc.). Hybrid Single-Particle Lagrangian Integrated Trajectory Model trajectory model was used in order to compute the 4-day backward trajectories of the air masses that affected the four cities which are under study during days with recorded PM10 exceedances, within a 5-year period (2003-2007), at 300, 750, and 1,500 m above ground level (AGL). The trajectories were then divided to clusters with a K-means analysis. In all four cities, the influence of slow-moving air masses was associated with a large fraction of PM10 exceedances and with high average and maximum daily mean PM10 concentrations, principally at the 300 m AGL analysis. As far the issue of the increased PM10 concentrations

  2. 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.

  3. A wind-tunnel study on saltation and PM10 emission from agricultural soils

    Science.gov (United States)

    Avecilla, Fernando; Panebianco, Juan E.; Buschiazzo, Daniel E.

    2016-09-01

    PM10 emission depends on the texture and the aggregation state of a soil. A decisive but less studied factor is the saltation fraction of the soil (fraction between 100 and 500 μm). Six soils of contrasting textures were selected, and a wind tunnel study was carried out under three different saltation conditions: increased saltation, in which a sample of the saltation fraction was added to the air stream prior to the soil bed; no saltation added, in which the soil bed eroded without the addition of extra saltation fraction; and only saltation, in which the saltation fraction was injected into the air stream in the absence of the soil bed. Results indicated that the saltation efficiency for PM10 emission increased with the fine fraction content of the soil and decreased with the sand content, but this process showed a complex behavior depending on the cohesion and stability of the aggregates. An index for describing the saltation efficiency of the studied soils was proposed based on the combination of three parameters: the PM10 content, the amount of saltation fraction available in the soil surface, and an aggregation parameter (clay × organic matter content). Increasing the saltation rate increased the PM10 emission from the eroding soil bed, except for the sandy soil. Results suggest that the main mechanisms of PM10 emission under saltation conditions differ according to the soil texture: detachment of the PM10 adhered to the grains of sand predominates on sandy soils and fragmentation on finer soils, but both processes occur together on high-emitting soils of intermediate textures.

  4. Application guide for source PM10 measurement with constant sampling rate

    Energy Technology Data Exchange (ETDEWEB)

    Farthing, W.E.; Dawes, S.S.

    1989-05-01

    The manual presents a method, Constant Sampling Rate (CSR), which allows determination of stationary source PM-10 emissions with hardware similar to that used for Methods 5 or 17. The operating principle of the method is to extract a multipoint sample so that errors due to spatial variation of particle size and anisokinetic sampling are kept within predetermined limits. The manual specifically addresses the use of the CSR methodology for determination of stationary source PM-10 emissions. Material presented in the manual includes calibration of sampling train components, pretest setup calculations, sample recovery, test data reduction, and routine equipment maintenance.

  5. 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.

  6. Molecular characterisation of organic material in air fine particles (PM10) using conventional and reactive pyrolysis-gas chromatography-mass spectrometry.

    Science.gov (United States)

    Fabbri, Daniele; Prati, Silvia; Vassura, Ivano

    2002-04-01

    Pyrolysis-gas chromatography-mass spectrometry (Py-GC-MS) was applied to study the composition of organic constituents in air particulate matter (PM10) collected inside an industrial area. A few milligrams of sampling filters containing air particles were pyrolysed at 700 degrees C directly (conventional) or after the addition of a derivatising reagent (tetramethylammonium hydroxide, TMAH, for pyrolysis-methylation; hexamethyldisilazane, HMDS, for pyrolysis-silylation). Py-GC-MS was also applied to synthetic polymers (poly(styrene-co-isoprene), polylimonene and polypinene) and vegetation samples (coniferous pollen, bark and resin) to identify markers indicative of possible precursors. Pyrolysates of PM10 showed the same suite of compounds in all the four seasons, dominated by hydrocarbons like styrene, limonene and clusters of isomeric alkenes with 14, 15 and 16 carbon atoms. Pyrolysis products of natural origin, including furaldehyde, benzeneacetonitrile, dehydroabietin and other diterpenoids were found, while no specific markers of synthetic rubbers were detected. The principal products released from reactive pyrolysis of PM10 were methyl or trimethylsilyl (TMS) derivatives of 1,6-anhydroglucose (levoglucosan), fatty acids, dehydroabietic acid and other resin acids along with hydroxy (di)carboxylic acids. Possible sources of the detected products (e.g. pine forest, biomass combustion) are discussed.

  7. 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

  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. Spatial and temporal variation of phthalic acid esters (PAEs) in atmospheric PM10 and PM2.5 and the influence of ambient temperature in Tianjin, China

    Science.gov (United States)

    Kong, Shaofei; Ji, Yaqin; Liu, Lingling; Chen, Li; Zhao, Xueyan; Wang, Jiajun; Bai, Zhipeng; Sun, Zengrong

    2013-08-01

    Phthalic acid esters (PAEs) are produced in large amounts throughout the world and are excessively used in various industries, which have posed a serious threat to human health and the environment. An investigation of six major PAEs congeners in atmospheric PM10 and PM2.5 was synchronously conducted at seven sites belonging to different functional zones in spring, summer and winter in Tianjin, China in 2010. Results showed that the average concentrations of DMP, DEP, DBP, BBP, DEHP and DOP in PM10 were 0.88, 0.73, 12.90, 0.15, 98.29 and 0.83 ng m-3, respectively, and in PM2.5, they were 0.54, 0.30, 8.72, 0.08, 75.68 and 0.33 ng m-3, respectively. DEHP and DBP were the predominant species. The industrial site exhibited highest PAEs values as 135.9 ± 202.8 ng m-3. In winter, the detected percentages for DOP were low. The other five PAEs concentrations were higher in winter than those in spring and summer, which may be related to the influence of emission sources, meteorological parameters and the chemical-physical characteristic of themselves. Except for DOP, other PAEs were negatively correlated with ambient temperature and the relationships were the best fitted as exponential forms. Significant positive correlations were found for PAEs in PM2.5 and PM10, indicating common sources. The PM2.5/PM10 ratios (0.53-0.70) for the six PAEs concentrations suggested that they were preferentially concentrated in finer particles. Principal component analysis indicated the emission from cosmetics and personal care products, plasticizers and sewage and industrial wastewater may be important sources for PAEs in atmospheric particulate matter in Tianjin.

  10. [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.

  11. 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.

  12. 78 FR 27168 - Approval and Promulgation of Air Quality Implementation Plans; Alaska: Mendenhall Valley PM10...

    Science.gov (United States)

    2013-05-09

    ...: Mendenhall Valley PM Nonattainment Area Limited Maintenance Plan and Redesignation Request AGENCY... nominal 10 micrometers (PM 10 ) submitted by the State of Alaska on May 8, 2009 for the Mendenhall Valley nonattainment area (Mendenhall Valley NAA), and the State's request to redesignate the area to attainment for...

  13. Real-time PM10 concentration monitoring on Penang Bridge by using traffic monitoring CCTV

    Science.gov (United States)

    Low, K. L.; Lim, H. S.; MatJafri, M. Z.; Abdullah, K.; Wong, C. J.

    2007-04-01

    For this study, an algorithm was developed to determine concentration of particles less than 10μm (PM10) from still images captured by a CCTV camera on the Penang Bridge. The objective of this study is to remotely monitor the PM10 concentrations on the Penang Bridge through the internet. So, an algorithm was developed based on the relationship between the atmospheric reflectance and the corresponding air quality. By doing this, the still images were separated into three bands namely red, green and blue and their digital number values were determined. A special transformation was then performed to the data. Ground PM10 measurements were taken by using DustTrak TM meter. The algorithm was calibrated using a regression analysis. The proposed algorithm produced a high correlation coefficient (R) and low root-mean-square error (RMS) between the measured and produced PM10. Later, a program was written by using Microsoft Visual Basic 6.0 to download still images from the camera over the internet and implement the newly developed algorithm. Meanwhile, the program is running in real time and the public will know the air pollution index from time to time. This indicates that the technique using the CCTV camera images can provide a useful tool for air quality studies.

  14. PM10 DAN INFEKSI SALURAN PERNAPASAN AKU PADA PEKERJA INDUSTRI MEBEL

    Directory of Open Access Journals (Sweden)

    Ruth Luciana

    2010-06-01

    Full Text Available Infeksi Saluran Pernapasan Akut (ISPA merupakan masalah kesehatan pertama pada sepuluh data penyakit terbesar di Desa Cilebut Barat dan Cilebut Timur. Hal tersebut disebabkan oleh adanya pembangunan industri mebel. ISPA menyerang pekerja industri mebel. Desain studi yang digunakan adalah cross sectional untuk mengetahui hubungan pajanan (PM10 dengan kejadian ISPA pada pekerja mebel dengan populasi seluruh pekerja mebel di kedua desa. Hasil yang didapat konsentrasi (PM10 50,3 µg/m3 – 80 µg/m3 dengan rata-rata 70,6 µg/m3 untuk pengukuran 24 jam. Jumlah pekerja yang mengalami ISPA 43 orang (43,9%. Hasil penelitian ini menunjukkan ada hubungan antara konsentrasi PM10, suhu ruang kerja (p = 0,027, masa kerja (p = 0,010, pemakaian alat pelindung diri (p=0,001, kebiasaan merokok (p = 0,039 dengan kejadian ISPA (p = 0,045. Pengawasan kesehatan lingkungan dan pekerja, pemeriksaan konsentrasi debu (PM10 dan kesehatan pekerja secara berkala, serta penyuluhan dapat dilakukan untuk meningkatkan pengetahuan dan kesadaran semua pihak akan dampak yang ditimbulkan oleh aktivitas industi mebel.

  15. 40 CFR 52.935 - PM10 State implementation plan development in group II areas.

    Science.gov (United States)

    2010-07-01

    ... 40 Protection of Environment 3 2010-07-01 2010-07-01 false PM10 State implementation plan development in group II areas. 52.935 Section 52.935 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY... State implementation plan development in group II areas. On July 7, 1988, the State submitted...

  16. 40 CFR 52.881 - PM10 State implementation plan development in group II areas.

    Science.gov (United States)

    2010-07-01

    ... 40 Protection of Environment 3 2010-07-01 2010-07-01 false PM10 State implementation plan development in group II areas. 52.881 Section 52.881 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY... State implementation plan development in group II areas. The state has submitted a committal SIP...

  17. 40 CFR 52.63 - PM10 State Implementation Plan development in group II areas.

    Science.gov (United States)

    2010-07-01

    ... 40 Protection of Environment 3 2010-07-01 2010-07-01 false PM10 State Implementation Plan development in group II areas. 52.63 Section 52.63 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY... State Implementation Plan development in group II areas. On March 15, 1989, the State submitted...

  18. 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...

  19. Analysis of atmospheric characteristics of PM10 pollution in Changchun, China%长春市大气中PM10污染特征分析

    Institute of Scientific and Technical Information of China (English)

    房春生; 金艺娜; 孟莹; 温卓; 王菊

    2014-01-01

    近年来,大气环境质量的不断恶化受到了人们广泛的关注。利用长春市的食品厂、客车厂、邮电学院、儿童公园、净月潭以及甩湾子等6个自动监测中心提供的2011年PM10、SO2与NO2小时质量浓度的连续监测数据,分析了长春市PM10质量浓度(MPM)的时空分布特征、不同污染物之间的相关性及其形成的原因。结果表明:从空间分布上看,6个采样点的MPM从高到低依次为食品厂>儿童公园>邮电学院>客车厂>净月潭>甩湾子,其中除食品厂与儿童公园外均符合《环境空气质量标准》GB3095-1996的二级标准。从时间分布上看,绝大多数监测点位的冬季MPM是最高的,春季次之,主要是因为冬季采暖与春季沙尘天气,而夏季的MPM最低,主要是湿沉降作用所致。MPM逐日变化呈现出双峰双谷型分布,第一个峰值出现在早上7:00左右,其中最大值出现在5月份的早7:00左右,达到了0.223 mg·m-3,第1个峰值过后呈下降趋势,下午出现质量浓度低谷,其中最小值出现在11月份15:00左右,为0.036 mg·m-3,直到傍晚时缓慢回升,22:00左右达到第2个峰值。通过统计分析不同污染物之间的相关系数,得出PM10与NO2质量浓度的相关性显著,且较稳定,其原因可能是常年排放的机动车尾气尘影响较大,而PM10与SO2质量浓度的相关性不太稳定,这可能是冬季采暖排放的燃煤尘所致。%In recent years, the worsening of atmospheric environmental quality has received widespread attention. In this study, based on continuous hourly data of PM10, SO2 and NO2 which offered by 6 automatic monitoring stations in Changchun, special distribution of PM10, correlations between different pollutants and formation reasons were analyzed. The six automatic monitoring stations include Food Factory, Passenger Car Manufactory, Post and Telecommunications College, Children Park, Jingyue Tan

  20. 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.

  1. 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.

  2. Correlating bioaerosol load with PM2.5 and PM10cf concentrations: a comparison between natural desert and urban-fringe aerosols

    Science.gov (United States)

    Boreson, Justin; Dillner, Ann M.; Peccia, Jordan

    2004-11-01

    Seasonal allergies and microbial mediated respiratory diseases, can coincide with elevated particulate matter concentrations, often when dry desert soils are disturbed. In addition to effects from the allergens, allergic and asthmatic responses may be enhanced when chemical and biological constituents of particulate matter (PM) are combined together. Because of these associations and also the recent regulatory and health-related interests of monitoring PM2.5, separately from total PM10, the biological loading between the fine (dpairborne eukaryotic (non-bacterial) microorganisms existing in ambient PM for the urban fringe and natural desert. Both sites contained allergenic organisms. Some groups of eukaryotic species were exclusive to only one of the sites. The natural desert contained more species of Basidiomycota fungi and the urban fringe contained more species of green plants, suggesting that the biological loading at each site was different due to local influences.

  3. The study on vertical variability of PM 10 and the possible sources on a 220 m tower, in Tianjin, China

    Science.gov (United States)

    Zhang, Yu-Fen; Xu, Hong; Tian, Ying-Ze; Shi, Guo-Liang; Zeng, Fang; Wu, Jian-Hui; Zhang, Xiao-Yong; Li, Xiang; Zhu, Tan; Feng, Yin-Chang

    2011-11-01

    In this study, PM 10 samples were collected at a meteorological tower in Tianjin, China. Four height levels (10 m, 40 m, 120 m and 220 m) were selected as the sampling sites. During the measurement campaign, the highest PM 10 and species concentrations were obtained at 10 m, while lower concentrations were obtained at higher sampling sites. According to the vertical variability analysis of species concentrations and fractions (%), significant differences between different heights were found for certain species, such as Al, Si, Ca, OC and EC, while such differences for NO3- and SO42- were insignificant. In addition, the source contributions at each sampling site were calculated by a chemical mass balance (CMB) model. In all sampling sites, secondary sulfate accounted for the largest contributions (24.11-30.96%). The other estimated contributions were secondary nitrate (16.19-20.95%), crustal dust (10.74-11.37%), coal combustion (12.47-14.39%), vehicle exhaust (13.92-14.78%) and cement dust (4.60-9.89%). Finally, the conditional probability function (CPF) plots and potential source contribution function (PSCF) maps show that the ambient samples might be from local potential sources at lower sampling heights as well as regional potential sources at higher sampling heights during this measurement campaign.

  4. Characterisation and source apportionment of PM10 in an urban background site in Lecce

    Science.gov (United States)

    Contini, D.; Genga, A.; Cesari, D.; Siciliano, M.; Donateo, A.; Bove, M. C.; Guascito, M. R.

    2010-01-01

    The analysis reported in this work has been performed to characterise PM10 concentration measured in an urban background site in Lecce (Apulia region, Italy). PM10 concentration and its inorganic chemical composition have been studied using three procedures: a qualitative analysis of the correlation coefficients between the different species and of the crustal enrichment factor; the cluster analysis (CA) and the principal component analysis (PCA). The results of the three procedures are in good agreement. The five groups identified by the CA correspond to the five principal components obtained with the PCA and they reflect the results qualitatively inferred using the two-species correlation coefficients. The CA results helped in putting in evidence a correlation between Ni, V and sulphate that was less evident in the PCA. The relative abundance of V is larger with wind from the N-NW directions where the main industrial sites of the region are located. This suggests the presence of anthropogenic inorganic secondary aerosol generated by a common source of V and SO 2 that are likely the industrial releases and the ship emissions. The absolute PCA (APCA) allowed the quantitative apportionment of the five components observed: crustal matter (49.5%), secondary inorganic aerosol (24.1%), marine aerosol (6.3%), traffic (16.5%), and industrial (2.1%). Observed PM10 concentration clearly shows a seasonal pattern, opposite to the one observed in the northern and central Italy, with average PM10 larger in the warm season (spring and summer) with respect to the cold season as a consequence of the increase of crustal matter contribution likely due to the intrusion of African dust. These intrusions are more frequent in the warm season and have an influence on daily PM10 concentrations variable between 6% and 120% in this site. Correlation with meteorological data indicates that the more intense cases of intrusions of African dust happen with wind blowing from the SW direction

  5. Pollution Characteristics and Health Risk Analysis of Heavy Metals in PM10 and PM2 .5 in Typical Cities in Hunan Province%湖南省典型城市 PM10和 PM2.5及其载带重金属的污染特征和健康风险研究

    Institute of Scientific and Technical Information of China (English)

    谢忱; 张文杰; 杨文; 李伟; 王歆华; 赵雪艳; 白志鹏

    2016-01-01

    To investigate the pollution characteristics and health risks of heavy metals in particulate matter in Changsha, Zhuzhou, Xiangtan (CTZ) area in Hunan Province, PM10 and PM2.5 filter samples were collected in Changsha, Xiangtan and background site of Hengshan Mountain in August 2014.The concentrations of ten heavy metals were analyzed by inductively coupled plasma mass spectrometry.In order to assess the carcinogenic risk of Cr(Ⅵ) on human, Cr(Ⅵ) concentrations were calculated based on the reference ratio of 0.13 for Cr(Ⅵ) to total Cr.The health risk of heavy metals inhaled by respiratory system was assessed by the model recommended by US EPA, coupled by the exposure factors in China.Results showed that the mass concentration of PM10 and PM2.5 were respectively 42-155 and 18-119 μg/m3 in Changsha, and were 17-127 and 5-109 μg/m3 in Xiangtan.The concentration of Cr(Ⅵ) in Changsha and Xiangtan was 0.81 and 0.65 ng/m3 in PM10 samples, while that of As was 9.3 and 6.3 ng/m3 , much higher than the relevant Chinese air quality standards.The total non-carcinogenic risk of the each heavy metal was less than 1, within the acceptable level.The carcinogenic risks for Cr(Ⅵ) and As were in the range of 10-6-10-4 , belonging to the range of potential carcinogenic risks.The carcinogenic risks for Cd, Ni and Co were below 10-6 , indicating that the carcinogenic risks of the three metals are acceptable.%为研究湖南省长株潭区域典型城市颗粒物及其载带重金属元素的污染特征和健康风险,于2014年8月在长沙市、湘潭市和区域背景点衡山采集了PM10和PM2.5样品。应用ICP-MS分析样品载带的10种重金属元素浓度,按Cr(Ⅵ)和总Cr比值为0.13估算Cr(Ⅵ)浓度。应用US EPA风险评价技术结合国内人群暴露参数对人体通过呼吸途径暴露的健康风险进行评价。结果表明:采样期间,长沙市PM10和PM2.5的日均浓度分别为42~155和18~119μg/m3,湘潭市为17~127

  6. Inhalable microorganisms in Beijing's PM2.5 and PM10 pollutants during a severe smog event.

    Science.gov (United States)

    Cao, Chen; Jiang, Wenjun; Wang, Buying; Fang, Jianhuo; Lang, Jidong; Tian, Geng; Jiang, Jingkun; Zhu, Ting F

    2014-01-01

    Particulate matter (PM) air pollution poses a formidable public health threat to the city of Beijing. Among the various hazards of PM pollutants, microorganisms in PM2.5 and PM10 are thought to be responsible for various allergies and for the spread of respiratory diseases. While the physical and chemical properties of PM pollutants have been extensively studied, much less is known about the inhalable microorganisms. Most existing data on airborne microbial communities using 16S or 18S rRNA gene sequencing to categorize bacteria or fungi into the family or genus levels do not provide information on their allergenic and pathogenic potentials. Here we employed metagenomic methods to analyze the microbial composition of Beijing's PM pollutants during a severe January smog event. We show that with sufficient sequencing depth, airborne microbes including bacteria, archaea, fungi, and dsDNA viruses can be identified at the species level. Our results suggested that the majority of the inhalable microorganisms were soil-associated and nonpathogenic to human. Nevertheless, the sequences of several respiratory microbial allergens and pathogens were identified and their relative abundance appeared to have increased with increased concentrations of PM pollution. Our findings may serve as an important reference for environmental scientists, health workers, and city planners.

  7. Composition and sources of organic matter in atmospheric PM 10 over a two year period in Beijing, China

    Science.gov (United States)

    Zhou, Jiabin; Wang, Tieguan; Zhang, Yanping; Zhong, Ningning; Medeiros, Patricia M.; Simoneit, Bernd R. T.

    2009-08-01

    The solvent-extractable organic compounds of atmospheric PM 10 samples, collected over two years beginning in 2003 at urban and suburban sites of Beijing, were characterized using gas chromatography-mass spectrometry (GC-MS). The elemental carbon (EC) contents were determined and ranged from 4.3 to 42 μg m - 3 . Organic compounds in total extracts were identified and included unresolved complex mixture (UCM) and series of n-alkanes, n-alkanols, n-alkanoic acids, polycyclic aromatic hydrocarbons (PAHs); saccharides, alkanedioic acids, steroids, and other biomarkers and source tracers. The seasonal variations of their relative abundances are discussed. The abundance order for the major molecular classes in the particulate organic matter (POM) was the following: UCM > saccharides > n-alkanoic acids > n-alkanes > n-alkanols > PAHs > hydroxy-PAHs > other biomarker tracers. Based on the genetic significance of the molecular tracers, the dominant sources of POM are proposed for the two sampling sites. The emissions from fossil fuel use (both coal and petroleum products), biomass combustion, other pyrolysis sources, higher plant wax, and secondary products contribute > 98.0% of the POM mass. The fossil fuel use (average = 65% of POM) is the largest contributor and derives mainly from vehicular traffic.

  8. Complexity analysis in particulate matter measurements

    OpenAIRE

    Luciano Telesca; Michele Lovallo

    2011-01-01

    We investigated the complex temporal fluctuations of particulate matter data recorded in London area by using the Fisher-Shannon (FS) information plane. In the FS plane the PM10 and PM2.5 data are aggregated in two different clusters, characterized by different degrees of order and organization. This results could be related to different sources of the particulate matter.

  9. Economic Valuation of Health Impact of PM10 Pollution in Beijing from 2001 to 2006

    Institute of Scientific and Technical Information of China (English)

    Zou Wenbo; Zhang Shiqiu

    2010-01-01

    In light of the practical need for research to inform policy in Beijing,this study evaluates the economic cost of the impact of PM10 pollution in Beijing from 2001 to 2006,taking health as the main impact,and mortality as the main outcome.Based on the literature review,this study adopts relatively conservative parameters as the basis for calculating the health impacts.It concludes that nearly 30% of mortality among registered residents above age 30 in Beijing can be attributed to PM10 pollution,and that the economic cost equals 0.8%-1.2% of the city's GDP over the same period.This is lower than the results of previous studies,but still high enough to warrant a commitment to solve the city's air pollution problem.

  10. 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

  11. MATHEMATICAL MODELS AND NUMERICAL SIMULATION FOR DENSE PARTICULATE FLOWS

    Institute of Scientific and Technical Information of China (English)

    WU Chun-liang

    2004-01-01

    Sedimentation of particles in inclined and vertical vessels is numerically simulated by the Eulerian two-fluid model. The numerical results show an interesting phenomenon with two circulation vortexes in a vertical vessel but one in the inclined vessel. Sensitivity tests indicate that the boundary layer effect is the key to induce this phenomenon. A numerical method based on 2D unstructured meshes is presented to solve the hard-sphere discrete particle model. Several applications show the numerical method has a good performance to simulate dense particulate flows in irregular domains without regard to element types of the mesh.

  12. Chemical characterization of extractable water soluble matter associated with PM10 from Mexico City during 2000.

    Science.gov (United States)

    Gutiérrez-Castillo, M E; Olivos-Ortiz, M; De Vizcaya-Ruiz, A; Cebrián, M E

    2005-11-01

    We report the chemical composition of PM10-associated water-soluble species in Mexico City during the second semester of 2000. PM10 samples were collected at four ambient air quality monitoring sites in Mexico City. We determined soluble ions (chloride, nitrate, sulfate, ammonium, sodium, potassium), ionizable transition metals (Zn, Fe, Ti, Pb, Mn, V, Ni, Cr, Cu) and soluble protein. The higher PM(10) levels were observed in Xalostoc (45-174 microg m(-3)) and the lowest in Pedregal (19-54 microg m(-3)). The highest SO2 average concentrations were observed in Tlalnepantla, NO2 in Merced and O3 and NO(x) in Pedregal. The concentration range of soluble sulfate was 6.7-7.9 and 19-25.5 microg m(-3) for ammonium, and 14.8-29.19 for soluble V and 3.2-7.7 ng m(-3) for Ni, suggesting a higher contribution of combustion sources. PM-associated soluble protein levels varied between 0.038 and 0.169 mg m(-3), representing a readily inhalable constituent that could contribute to adverse outcomes. The higher levels for most parameters studied were observed during the cold dry season, particularly in December. A richer content of soluble metals was observed when they were expressed by mass/mass units rather than by air volume units. Significant correlations between Ni-V, Ni-SO4(-2), V-SO4(-2), V-SO2, Ni-SO2 suggest the same type of emission source. The variable soluble metal and ion concentrations were strongly influenced by the seasonal meteoclimatic conditions and the differential contribution of emission sources. Our data support the idea that PM10 mass concentration by itself does not provide a clear understanding of a local PM air pollution problem.

  13. Categorisation of air quality monitoring stations by evaluation of PM(10) variability.

    Science.gov (United States)

    Barrero, M A; Orza, J A G; Cabello, M; Cantón, L

    2015-08-15

    Air Quality Monitoring Networks (AQMNs) are composed by a number of stations, which are typically classified as urban, suburban or rural, and background, industrial or traffic, depending on the location and the influence of the immediate surroundings. These categories are not necessarily homogeneous and distinct from one another, regarding the levels of the monitored pollutants. A classification providing groups with these features is of interest for air quality management and research purposes, and therefore, other classification criteria should be explored. In this work, the variations of PM10 concentrations in 43 stations in the AQMN of the Basque Country in the period 2005-2012 have been studied to group them according to common characteristics. The characteristic variations in time are synthesised by the autocorrelation function (ACF), with both daily and hourly data, and by the average diurnal evolution pattern of the normalised concentrations on a seasonal basis (Evol-P). A methodology based on k-means clustering of these features is proposed. Each classification gives a different piece of information that has been phenomenologically related with specific dispersion and emission dynamics. The classification based on Evol-Ps is found to be the most influential one when comparing PM10 levels between groups. A combination of these categorisations provides 5 groups with significantly different levels of PM10, improving the discrimination of the conventional classification. Our results indicate that the time series of the pollutant concentrations contain enough information to provide an objective classification of the monitoring stations in an AQMN.

  14. Effect of travel restriction on PM10 concentrations in Naples: One year of experience

    Science.gov (United States)

    Polichetti, Giuliano

    2017-02-01

    The PM10 is an ubiquitarian and most common pollutant in the world, especially in the Western countries, and it is responsible onset of many pathologies from cancer to cardiorespiratory diseases and human reproduction, on the pregnant women and birth outcomes, in addition to recently has been associated with metabolic diseases (like diabetes). In the light of this scenario, the city of Naples decided in 2010, attempting to reduce PM10 concentrations, to establish a travel restriction for the cars over the city to time slots and on alternate days. We have analyzed the PM10 data from eight monitoring stations dislocated on the city ground. The period of analysis was a year, from July 2010 to July 2011. The results were not absolutely close to expectations, having practically demonstrated that there is no statistically significant difference between the days and hours when the travel restriction was active and those where no have the travel restriction. In conclusion, the travel restriction at time slots and alternate days as structured in the city of Naples seems have not significant improvement of air quality but should need further studies to obtain more reliable data.

  15. Development of sampling methods for source PM10 emissions. Final report

    Energy Technology Data Exchange (ETDEWEB)

    Williamson, A.D.; Farthing, W.E.; Dawes, S.S.; McCain, J.D.; Martin, R.S.

    1989-04-01

    This report describes an investigation of the needs and available techniques for in-stack PM-10 sampling. Discussion includes the conceptualization, development, documentation, and testing of two candidate methods. The first method, Constant Sampling Rate (CSR), is a procedural approach which adds particle-size separation to sampling hardware that has been widely used in EPA Methods 5 and 17 but modifies the sampling protocol to accomplish the PM-10 objectives. The second method, Exhaust Gas Recycle (EGR), is an equipment approach which accomplishes the PM-10 objectives by using a modified sampling train to implement the concept of exhaust-gas recirculation. Six field studies indicated that these techniques were practical and compared well with one another and with more labor-intensive approaches. Laboratory investigations with monodisperse aerosols indicated that commonly used geometries for sampling nozzles could cause a decrease in the particle size out of a closely coupled inertial sizing device. Nozzle geometries were also found which eliminated the observed shifts in particle size cut.

  16. Assessment of potential long-range transport of particulate air pollution using trajectory modeling and monitoring data

    Science.gov (United States)

    Pongkiatkul, Prapat; Kim Oanh, Nguyen Thi

    2007-07-01

    Quantification of the long-range transport (LRT) contribution to ambient air pollution levels at a location is a challenging task and is normally done with a high uncertainty. In the lack of accurate emission data over the large regional domain for dispersion modeling, this study attempts to use both trajectory analysis and monitoring data to assess the potential contribution of LRT to particulate air pollution (PM) in the Bangkok Metropolitan Region (BMR). The 10-day backward trajectories of air masses arriving at BMR from January 2002 to December 2004 were determined using Hybrid Single-Particle Langrangian Integrated Trajectory model version 4 (HYSPLIT4) and were categorized by k-means clustering into 6 clusters. Subsequently, PM levels in the BMR associated with each air mass cluster during this period were analyzed. Clusters 1 and 6 were observed with the highest and 2nd highest average PM 10 and PM 2.5 levels in the BMR, respectively, which commonly have a longer air mass pathway over populated South East Asia (SEA). The third highest PM levels were associated with air masses from the east (clusters 2 and 5), which enter the BMR via the Gulf of Thailand without passing the SEA regions. The other two clusters (3 and 4) are characterized with a long pathway of air masses over the Indian Ocean and the lowest PM levels. High PM days, which are defined based on the spatial coverage of high PM levels in the BMR, were identified and analyzed for the possibility of long-range transport contribution of PM. The potential source contribution function (PSCF) and air mass trajectories show that on high PM day, the air masses commonly originated and passed over populated regions before arriving at the BMR, which suggests a possible LRT contribution. Considerations are made for surface ozone, SO 42-/SO 2 and average SO 2, PM 2.5/PM 10, and weekday-weekend traffic emission within each air mass trajectory cluster to reveal the possible LRT contribution.

  17. Persistent inversion dynamics and wintertime PM10 air pollution in Alpine valleys

    Science.gov (United States)

    Largeron, Yann; Staquet, Chantal

    2016-06-01

    The present study investigates persistent inversions dynamics during a whole winter in Alpine valleys of the area of Grenoble (French Alps), and their relationship to PM10 air pollution episodes and synoptic scale meteorology. For this purpose, hourly time series from November to March of PM10 concentration measurements at the bottom of the valleys and of ground-based temperature data at different altitudes are used. A methodology is developed to quantify a simple estimate of the inversion strength from temperature profiles deduced from the ground-based observations. This estimate is shown to be equivalent to the boundary layer heat deficit. A criterion based on this estimate is proposed to identify persistent (more than 3 days) inversions. Persistent inversions are found to occur from November to February and span 35% of the time. It is shown that they are closely related to PM10 pollution episodes, the PM10 concentration increasing with the boundary layer stability as the inversion develops. Polluted episodes are primarily driven by persistent inversions and consequently, pollution is of fully local origin from November to February. In March local dynamics become less important and long-range transport can dominate. Persistent inversions occur systematically during a high-pressure regime, which first triggers a synoptic scale elevated inversion due to the advection of warm air masses in the mid-troposphere. In valleys, the sheltered boundary layer becomes decoupled from the free troposphere, which allows a ground-based inversion to intensify in the following days. An inversion layer of quasi-constant temperature gradient, greater than 5 K km-1, then forms up to an altitude of about 1600 m, close to the average elevation of the summits. If the episode is sufficiently long, a stagnation stage is reached during which daytime insolation produces a shallow convective surface layer which does not destroy the persistent inversion. The inversion break-up occurs rapidly

  18. 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.

    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 C-14 content in EC

  19. Study of the chemical elements and polycyclic aromatic hydrocarbons in atmospheric particles of PM 10 and PM 2.5 in the urban and rural areas of South Brazil

    Science.gov (United States)

    Dallarosa, Juliana; Calesso Teixeira, Elba; Meira, Lindolfo; Wiegand, Flavio

    2008-07-01

    The purpose of this work is to study the chemical elements and PAHs associated with atmospheric particulate in samples of PM 10 collected in the Metropolitan Area of Porto Alegre—MAPA, Rio Grande do Sul, Brazil. In addition, to study the chemical elements associated with particles of different fractions of PM 10-2.5 and PM 2.5 using dichotomous sampling, in urban (MAPA) and rural areas. Two types of samplers were used: HV PM 10 and Dichotomous (PM 10-2.5 and PM 2.5). Samples were collected during 2002 and 2005. The concentration of the elements Si, S, Cl, K, Ca, Ti, V, Cr, Mn, Fe, Ni, Cu, and Zn was determined by PIXE (Particle-Induced X-ray Emission), while the concentrations of 16 major PAHs were determined according to EPA with a gas chromatograph coupled to a mass spectrometer (GS/MS). Results showed that elements of anthropogenic origin (V, Zn, Cr, Ni, Cu, and S) were mainly associated with the fraction PM 2.5, while the soil dust (Si, Al, Ti and Fe) were found mainly on fraction PM 10-2.5. In samples of PM 10, the most frequent PAHs found were Bgp, Flt, BaA, Chr, B(b + k)F, BaP and Dba. The types of emission and their association with the atmospheric parameters were studied applying the statistical analysis of the principal component method. The main sources found in the area under study were vehicles, industries (steel mills and a coal-fired power station), dust, sea breeze, and burning.

  20. Indoor/outdoor relationships of PM10, PM2.5, and PM1 mass concentrations and their water-soluble ions in a retirement home and a school dormitory

    Science.gov (United States)

    Hassanvand, Mohammad Sadegh; Naddafi, Kazem; Faridi, Sasan; Arhami, Mohammad; Nabizadeh, Ramin; Sowlat, Mohammad Hossein; Pourpak, Zahra; Rastkari, Noushin; Momeniha, Fatemeh; Kashani, Homa; Gholampour, Akbar; Nazmara, Shahrokh; Alimohammadi, Mahmood; Goudarzi, Gholamreza; Yunesian, Masud

    2014-01-01

    Indoor/outdoor particulate matter (PM10, PM2.5, and PM1) and their water-soluble ions were measured in a retirement home and a school dormitory in Tehran, from May 2012 to January 2013. Hourly indoor/outdoor PM concentrations were measured using GRIMM dust monitors and 24-h aerosol samples were collected by low-volume air samplers. Water-soluble ions were determined using an ion chromatography (IC) instrument. Although the mean outdoor PM concentrations in both sampling sites were almost equal, the mean indoor PM10 in the school dormitory was approximately 1.35 times higher than that in the retirement home. During a Middle Eastern dust storm, the 24-h average PM10, PM2.5, and PM1 concentrations were respectively 3.4, 2.9, and 1.9 times as high as those in normal days outdoors and 3.4, 2.8, and 1.6 times indoors. The results indicated that secondary inorganic aerosols were the dominant water-soluble ions of indoor and outdoor PM. We found that the smaller the particle, the higher the percentage of secondary inorganic aerosols. Except for PM10 in the school dormitory, strong correlations were found between indoor and outdoor PM. We estimated that nearly 45% of PM10, 67% of PM2.5, and 79% of PM1 in the retirement home, and 32% of PM10, 76% of PM2.5, and 83% of PM1 in the school dormitory originated from outdoor environment.

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

    Science.gov (United States)

    Brines, Mariola; Dall'Osto, Manuel; Amato, Fulvio; Cruz Minguillón, María; Karanasiou, Angeliki; Alastuey, Andrés; Querol, Xavier

    2016-06-01

    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 concentrations. The mineral dust and aged marine factors were found to be a mixture of natural and

  2. NUMERICAL MODELLING OF PROGRESSIVE FAILURE IN PARTICULATE COMPOSITES LIKE SANDSTONE

    Institute of Scientific and Technical Information of China (English)

    1999-01-01

    The beam-particle model is presented for analyzing the progressive failure of particulate composites such as sandstone and concrete. In the model, the medium is schematized as an assembly of particles which are linked through a network of brittle-breaking beam elements. The mechanical behaviour of particle elements is governed by the distinct element method and finite element method. The propagation of the cracking process in particulate composites is mimicked by removing the beam element from the mesh as soon as the stress in the beam exceeds the strength assigned to that particular beam. The new model can be utilized at a meso-scale and in different loading conditions. Two physical experiments are performed to verify the numerical results. The crack patterns and load-displacement response obtained with the proposed numerical model are in good agreement with the experimental results. Moreover, the influence of heterogeneity on crack patterns is also discussed and the correlation existing between the fracture evolution and the loads imposed on the specimen is characterized by fractal dimensions.

  3. Silkworm cocoons inspire models for random fiber and particulate composites

    Science.gov (United States)

    Chen, Fujia; Porter, David; Vollrath, Fritz

    2010-10-01

    The bioengineering design principles evolved in silkworm cocoons make them ideal natural prototypes and models for structural composites. Cocoons depend for their stiffness and strength on the connectivity of bonding between their constituent materials of silk fibers and sericin binder. Strain-activated mechanisms for loss of bonding connectivity in cocoons can be translated directly into a surprisingly simple yet universal set of physically realistic as well as predictive quantitative structure-property relations for a wide range of technologically important fiber and particulate composite materials.

  4. Land use regression modeling of ultrafine particles, ozone, nitrogen oxides and markers of particulate matter pollution in Augsburg, Germany.

    Science.gov (United States)

    Wolf, Kathrin; Cyrys, Josef; Harciníková, Tatiana; Gu, Jianwei; Kusch, Thomas; Hampel, Regina; Schneider, Alexandra; Peters, Annette

    2017-02-01

    Important health relevance has been suggested for ultrafine particles (UFP) and ozone, but studies on long-term effects are scarce, mainly due to the lack of appropriate spatial exposure models. We designed a measurement campaign to develop land use regression (LUR) models to predict the spatial variability focusing on particle number concentration (PNC) as indicator for UFP, ozone and several other air pollutants in the Augsburg region, Southern Germany. Three bi-weekly measurements of PNC, ozone, particulate matter (PM10, PM2.5), soot (PM2.5abs) and nitrogen oxides (NOx, NO2) were performed at 20 sites in 2014/15. Annual average concentration were calculated and temporally adjusted by measurements from a continuous background station. As geographic predictors we offered several traffic and land use variables, altitude, population and building density. Models were validated using leave-one-out cross-validation. Adjusted model explained variance (R(2)) was high for PNC and ozone (0.89 and 0.88). Cross-validation adjusted R(2) was slightly lower (0.82 and 0.81) but still indicated a very good fit. LUR models for other pollutants performed well with adjusted R(2) between 0.68 (PMcoarse) and 0.94 (NO2). Contrary to previous studies, ozone showed a moderate correlation with NO2 (Pearson's r=-0.26). PNC was moderately correlated with ozone and PM2.5, but highly correlated with NOx (r=0.91). For PNC and NOx, LUR models comprised similar predictors and future epidemiological analyses evaluating health effects need to consider these similarities. Copyright © 2016 Elsevier B.V. All rights reserved.

  5. Relationships between mild PM10 and ozone urban air levels and spontaneous abortion: clues for primary prevention.

    Science.gov (United States)

    Di Ciaula, Agostino; Bilancia, Massimo

    2015-01-01

    The effects of environmental pollution on spontaneous abortion (SAB) are still unclear. Records of SAB were collected from five cities (514,996 residents) and correlated with PM10, NO(2) and ozone levels. Median pollutant concentrations were below legal limits. Monthly SABs positively correlated with PM10 and ozone levels but not with NO(2) levels. The mean monthly SAB rate increase was estimated equal to 19.7 and 33.6 % per 10 μg/m(3) increase in PM10 or ozone concentration, respectively. Higher values of PM10 and SABs were evident in cities with- than in those without pollutant industries, with a number of SABs twofolds higher in the former group. In conclusion, SAB occurrence is affected by PM10 (particularly if industrial areas are present) and ozone concentrations, also at levels below the legal limits. Thus, SAB might be considered, at least in part, a preventable condition.

  6. Chemical characterization and mass closure of PM10 and PM2.5 at an urban site in Karachi - Pakistan

    Science.gov (United States)

    Shahid, Imran; Kistler, Magdalena; Mukhtar, Azam; Ghauri, Badar M.; Ramirez-Santa Cruz, Carlos; Bauer, Heidi; Puxbaum, Hans

    2016-03-01

    A mass balance method is applied to assess main source contributions to PM2.5 and PM10 levels in Karachi. Carbonaceous species (elemental carbon, organic carbon, carbonate carbon), soluble ions (Ca++, Mg++, Na+, K+, NH4+, Cl-, NO3-, SO4-), saccharides (levoglucosan, galactosan, mannosan, sucrose, fructose, glucose, arabitol and mannitol) were determined in atmospheric fine (PM2.5) and coarse (PM10) aerosol samples collected under pre-monsoon conditions (March-April 2009) at an urban site in Karachi (Pakistan). The concentrations of PM2.5 and PM10 were found to be 75 μg/m3 and 437 μg/m3 respectively. The large difference between PM10 and PM2.5 originated predominantly from mineral dust. "Calcareous dust" and "siliceous dust" were the over all dominating material in PM, with 46% contribution to PM2.5 and 78% to PM10-2.5. Combustion particles and secondary organics (EC + OM) comprised 23% of PM2.5 and 6% of PM10-2.5. EC, as well as OC ambient levels were higher (59% and 56%) in PM10-2.5 than in PM2.5. Biomass burning contributed about 3% to PM2.5, and had a share of about 13% of "EC + OM" in PM2.5. The impact of bioaerosol (fungal spores) was minor and had a share of 1 and 2% of the OC in the PM2.5 and PM10-2.5 size fractions. In case of secondary inorganic aerosols, ammonium sulphate (NH4)2SO4 contributes 4.4% to PM2.5 and no detectable quantity were found in fraction PM10-2.5. The sea salt contribution is about 2% both to PM2.5 and PM10-2.5.

  7. Modeling and control of a Diesel particulate filter; Dynamique et controle d'un filtre a particules diesel

    Energy Technology Data Exchange (ETDEWEB)

    Achour, L.

    2001-10-01

    Since the particulate emissions of diesel engine are suspected to be harmful on health, the european standards limiting this source of pollutant are increasingly stringent: 0.05 g/km for 2000 and 0.025 g/km for 2005 (for light duty vehicles). Particulate traps are known for their large filtration efficiency in terms of nano-particles and therefore constitute the most effective solution to reduce these emissions. The development of such a technology implies the combination of a trap and regeneration process. This requires the implementation of advanced engine management strategies aimed at periodically rising exhaust gas temperature to reach the particle light off. Thermal regeneration is an intermittent process during which some auxiliary heat is supplied to the filter to burn out the collected particles. The process is complex and if not properly controlled can be either too slow with little regeneration, or too fast with the risk of damage to the filter because of high temperature peaks. A very reliable and reproducible process is required which can occur automatically. The aim of this study is to design a simplified mathematical model to describe the process of the thermal regeneration in diesel particulate monolith filters regeneration. Therefore, a light model represented qualitatively the process is necessary to control quickly the eventual thermal reaction runaway. Among the various design variables, the initial particulate loading, the effective clogged area and the particulate light off are especially important and difficult to estimate. The literature gives an abundant choice to represent the particulate combustion law but the mathematical expression is often heavy and the parameters value are partially justified. Staying coherent with our approach, we developed also a simplified combustion law which is closed to the reality. The numerical results are compared to experimental data in order to validate the model. (author)

  8. study of $PM_{2.5}$ and $PM_{10}$ concentrations in the atmosphere of large cities in Gansu Province, China, in summer period

    Indian Academy of Sciences (India)

    Mikalai Filonchyk; Haowen Yan; Shuwen Yang; Volha Hurynovich

    2016-08-01

    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 Standard (NAAQS) imposed ‘more strict’ regulation on the PM concentrations, i.e., 35 and70 μg/m^3 for annual $PM_{2.5}$ and $PM_{10}$ in average, respectively (Grade-II, GB3095-2012). The Pearson’s correlation coefficient was used to determine the linear relationship of pollution between pollution levels and weather conditions as well as the temporal and spatial variability among neighbouring cities. Thegoal of this paper was to investigate hourly mass concentration of $PM_{2.5}$ and $PM_{10}$ from June 1 to August 31, 2015 collected in the 11 largest cities of Gansu Province. This study has shown that the overall average concentrations of $PM_{2.5}$ and $PM_{10}$ in the study area were 26 and $66 μg/m^3$. In PM2.5 episodedays (when concentration was more than $75 μg/m^3$ for 24 hrs), the average concentrations of $PM_{2.5}$ was 2–3 times higher as compared to non-episode days. There were no observed clear differences during theweekday/weekend PM and other air pollutants $(SO_2, NO_2, CO$ and $O_3)$ in all the investigated cities.

  9. Modeling and Simulations of Particulate Flows through Functionalized Porous Media

    Science.gov (United States)

    Li, Chunhui; Dutta, Prashanta; Liu, Jin

    2016-11-01

    Transport of particulate fluid through a functionalized porous material is of significant interest in many industrial applications, such as earth sciences, battery designs and water/air purifications. The entire process is complex, which involves the convection of fluid, diffusion of reactants as well as reversible chemical reactions at the fluid-solid interface In this work we present a convection-diffusion-reaction model and simulate the transport of particulate fluid through a functionalized porous media. The porous structures are generated and manipulated through the quartet structure generation set method. The Navier-Stokes with convection-diffusion equations are solved using the lattice Boltzmann method. The chemical reactions at the interface are modeled by an absorption-desorption process and treated as the boundary conditions for above governing equations. Through our simulations we study the effects of porous structures, including porosity, pore orientation, and pore size as well as the kinetic rates of surface reactions on the overall performance of removal efficiency of the species from the solution. Our results show that whole process is highly affected by both the porous structures and absorption rate. The optimal parameters can be achieved by proper design. This work is supported by NSF Grants: CBET-1250107 and CBET -1604211.

  10. Assessment of the contribution from wood burning to the PM10 aerosol in Flanders, Belgium.

    Science.gov (United States)

    Maenhaut, Willy; Vermeylen, Reinhilde; Claeys, Magda; Vercauteren, Jordy; Matheeussen, Christina; Roekens, Edward

    2012-10-15

    From February 2010 to February 2011 PM10 aerosol samples were simultaneously taken every 4th day at 7 monitoring sites in Flanders, Belgium. Two of the sites (i.e., Borgerhout and Gent) were urban background sites; one (i.e., Mechelen) a suburban background site, and the other four (i.e., Hamme, Lier, Retie, and Houtem) rural background sites, whereby Hamme and Lier were expected to be particularly impacted by biomass burning. The samplings were done for 24h and 47-mm diameter Pallflex® Tissuquartz™ 2500 QAT-UP filters were used. After sampling the PM10 mass concentration was determined by weighing; organic and elemental carbon (OC and EC) were measured by thermal-optical transmission analysis and the wood burning tracers levoglucosan, mannosan, and galactosan were determined by means of gas chromatography/mass spectrometry. The atmospheric concentrations of levoglucosan and the other two monosaccharide anhydrides showed a very clear seasonal variation at each site, with highest levels in winter, followed by autumn, spring, and summer. The levoglucosan levels for 5 of our 7 sites (i.e., Retie, Lier, Mechelen, Borgerhout, and Gent) were very highly correlated with each other (all between site correlation coefficients r>0.9, except for one value of 0.86) and the levels in the parallel samples of these 5 sites were similar, indicating that wood burning at these 5 sites was a regional phenomenon and that it was taking place in many individual houses on similar occasions (e.g., on cold days, weekends or holidays). The levoglucosan levels at Houtem and the correlation coefficients of the 5 sites with Houtem were lower, which is explained by the fact that the latter site is at less than 20 km from the North Sea so that the air there is often diluted by rather clean westerly maritime air. A peculiar behavior was seen for Hamme, with on many occasions very high levoglucosan levels, which was attributed to the fact that there is wood burning going on in several houses

  11. Development of Land Use Regression models for particulate matter and associated components in a low air pollutant concentration airshed

    NARCIS (Netherlands)

    Dirgawati, Mila; Heyworth, Jane S.; Wheeler, Amanda J.; McCaul, Kieran A.; Blake, David; Boeyen, Jonathon; Cope, Martin; Yeap, Bu Beng; Nieuwenhuijsen, Mark; Brunekreef, Bert; Hinwood, Andrea

    2016-01-01

    Perth, Western Australia represents an area where pollutant concentrations are considered low compared with international locations. Land Use Regression (LUR) models for PM10, PM2.5 and PM2.5 Absorbance (PM2.5Abs) along with their elemental components: Fe, K, Mn, V, S, Zn and Si were developed for t

  12. Assessment of selected metals in the ambient air PM10 in urban sites of Bangkok (Thailand).

    Science.gov (United States)

    Pongpiachan, Siwatt; Iijima, Akihiro

    2016-02-01

    Estimating the atmospheric concentrations of PM10-bounded selected metals in urban air is crucial for evaluating adverse health impacts. In the current study, a combination of measurements and multivariate statistical tools was used to investigate the influence of anthropogenic activities on variations in the contents of 18 metals (i.e., Al, Sc, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, As, Se, Cd, Sb, Ba, La, Ce and Pb) in ambient air. The concentrations of PM10-bounded metals were measured simultaneously at eight air quality observatory sites during a half-year period at heavily trafficked roads and in urban residential zones in Bangkok, Thailand. Although the daily average concentrations of Al, V, Cr, Mn and Fe were almost equivalent to those of other urban cities around the world, the contents of the majority of the selected metals were much lower than the existing ambient air quality guidelines and standard limit values. The sequence of average values of selected metals followed the order of Al > Fe > Zn > Cu > Pb > Mn > Ba > V > Sb > Ni > As > Cr > Cd > Se > Ce > La > Co > Sc. The probability distribution function (PDF) plots showed sharp symmetrical bell-shaped curves in V and Cr, indicating that crustal emissions are the predominant sources of these two elements in PM10. The comparatively low coefficients of divergence (COD) that were found in the majority of samples highlight that site-specific effects are of minor importance. A principal component analysis (PCA) revealed that 37.74, 13.51 and 11.32 % of the total variances represent crustal emissions, vehicular exhausts and the wear and tear of brakes and tires, respectively.

  13. Reconciling PM10 analyses by different sampling methods for Iron King Mine tailings dust.

    Science.gov (United States)

    Li, Xu; Félix, Omar I; Gonzales, Patricia; Sáez, Avelino Eduardo; Ela, Wendell P

    2016-03-01

    The overall project objective at the Iron King Mine Superfund site is to determine the level and potential risk associated with heavy metal exposure of the proximate population emanating from the site's tailings pile. To provide sufficient size-fractioned dust for multi-discipline research studies, a dust generator was built and is now being used to generate size-fractioned dust samples for toxicity investigations using in vitro cell culture and animal exposure experiments as well as studies on geochemical characterization and bioassay solubilization with simulated lung and gastric fluid extractants. The objective of this study is to provide a robust method for source identification by comparing the tailing sample produced by dust generator and that collected by MOUDI sampler. As and Pb concentrations of the PM10 fraction in the MOUDI sample were much lower than in tailing samples produced by the dust generator, indicating a dilution of Iron King tailing dust by dust from other sources. For source apportionment purposes, single element concentration method was used based on the assumption that the PM10 fraction comes from a background source plus the Iron King tailing source. The method's conclusion that nearly all arsenic and lead in the PM10 dust fraction originated from the tailings substantiates our previous Pb and Sr isotope study conclusion. As and Pb showed a similar mass fraction from Iron King for all sites suggesting that As and Pb have the same major emission source. Further validation of this simple source apportionment method is needed based on other elements and sites.

  14. Comparison of methods for the quantification of carbonate carbon in atmospheric PM10 aerosol samples

    Science.gov (United States)

    Jankowski, Nicole; Schmidl, Christoph; Marr, Iain L.; Bauer, Heidi; Puxbaum, Hans

    Carbonate carbon (CC) represents an important fraction of atmospheric PM10 along with organic carbon (OC) and elemental carbon (EC), if specific sources (e.g. street abrasion, construction sites, desert dust) contribute to its composition. However, analytical methods for an easy and unambiguous determination of CC in atmospheric aerosols collected on filter matrices are scarce. We propose here a method for the determination of CC based on a heating pretreatment of the sample to remove OC and EC, followed by a total carbon determination to measure CC. This procedure is used for the correction of EC also determined by a heating pretreatment (Cachier, H., Bremond, M.P., Buat-Ménard, P., 1989. Determination of atmospheric soot carbon with a simple thermal method. Tellus 41B, 379-390) but without previous HCl fumigation, as proposed. Comparison of the carbon remaining after the proposed thermal treatment at 460 °C for 60 min in an oxygen stream showed good correlation for the carbonate carbon derived by calculation from the ionic balance for ambient air and street dust samples. Using the "three step" combustion technique it is now possible to determine OC, EC and CC by the use of a TC analyser in the concentration range of 2-200 μg carbon per sample aliquot, with good precision (3-5% RSD for TC and 5-10% for CC) and accuracy. In ambient air samples from a sampling site in Vienna with elevated PM10 levels ("Liesing") CC values as high as 25% of TC and 27% CO 32-; for street dust samples 32% of TC and 25% CO 32- of total PM10 mass were observed.

  15. 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.

  16. Particulate matter air pollution components and risk for lung cancer

    DEFF Research Database (Denmark)

    Raaschou-Nielsen, O; Beelen, R; Wang, M.

    2016-01-01

    BACKGROUND: Particulate matter (PM) air pollution is a human lung carcinogen; however, the components responsible have not been identified. We assessed the associations between PM components and lung cancer incidence. METHODS: We used data from 14 cohort studies in eight European countries. We...... geocoded baseline addresses and assessed air pollution with land-use regression models for eight elements (Cu, Fe, K, Ni, S, Si, V and Zn) in size fractions of PM2.5 and PM10. We used Cox regression models with adjustment for potential confounders for cohort-specific analyses and random effect models.......59; 1.12-2.26 per 2ng/m(3)) and PM10 K (1.17; 1.02-1.33 per 100ng/m(3)). In two-pollutant models, associations between PM10 and PM2.5 and lung cancer were largely explained by PM2.5 S. CONCLUSIONS: This study indicates that the association between PM in air pollution and lung cancer can be attributed...

  17. A Molecular Communication System Model for Particulate Drug Delivery Systems.

    Science.gov (United States)

    Chahibi, Youssef; Pierobon, Massimiliano; Song, Sang Ok; Akyildiz, Ian F

    2013-12-01

    The goal of a drug delivery system (DDS) is to convey a drug where the medication is needed, while, at the same time, preventing the drug from affecting other healthy parts of the body. Drugs composed of micro- or nano-sized particles (particulate DDS) that are able to cross barriers which prevent large particles from escaping the bloodstream are used in the most advanced solutions. Molecular communication (MC) is used as an abstraction of the propagation of drug particles in the body. MC is a new paradigm in communication research where the exchange of information is achieved through the propagation of molecules. Here, the transmitter is the drug injection, the receiver is the drug delivery, and the channel is realized by the transport of drug particles, thus enabling the analysis and design of a particulate DDS using communication tools. This is achieved by modeling the MC channel as two separate contributions, namely, the cardiovascular network model and the drug propagation network. The cardiovascular network model allows to analytically compute the blood velocity profile in every location of the cardiovascular system given the flow input by the heart. The drug propagation network model allows the analytical expression of the drug delivery rate at the targeted site given the drug injection rate. Numerical results are also presented to assess the flexibility and accuracy of the developed model. The study of novel optimization techniques for a more effective and less invasive drug delivery will be aided by this model, while paving the way for novel communication techniques for Intrabody communication networks.

  18. 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.

  19. PM10 and CO Exposure of Hong Kong Population in Public Transit Facilities

    Institute of Scientific and Technical Information of China (English)

    TU Edward Y(涂有); CHAU C K(周志坤); CHAN Daniel W T(陈维田); BURNETT John; TU Guang-bei(涂光备)

    2003-01-01

    Taking public transit facilities (PTFs) is the major transport style in Hong Kong. Human exposure to indoor air pollutants may cause adverse health effects to the passengers. Exposure assessment on air pollutants is important for the control of human diseases caused by indoor air pollution. In this paper, the indoor PM10, CO and CO2 levels in various PTFs, such as public bus, subway, railway and ferry in Hong Kong, were mea-sured. Combining with the time budget survey of Hong Kong population,the human exposures were calculated through Monte-Carlo simulation.

  20. Application guide for the source PM10 exhaust-gas recycle sampling system

    Energy Technology Data Exchange (ETDEWEB)

    Martin, R.S.; Dawes, S.S.; Williamson, A.D.; Farthing, W.E.

    1989-04-01

    The document describes assembly, operation, and maintenance of the Exhaust Gas Recycle (EGR) sampling system. The design of the sampling train allows the operator to maintain a constant flow rate through an inertial sampler while the gas flow rate into the sampling nozzle is adjusted to remain isokinetic with the local duct velocity. The manual specifically addresses the operation of the EGR system for determination of stationary-source PM-10 emissions. Material in the text includes: construction details, calibration procedures, presampling calculations, sample retrieval, data reduction, and equipment maintenance.

  1. Anthropogenic platinum group element (Pt, Pd, Rh) concentrations in PM10 and PM2.5 from Kolkata, India.

    Science.gov (United States)

    Diong, Huey Ting; Das, Reshmi; Khezri, Bahareh; Srivastava, Bijayen; Wang, Xianfeng; Sikdar, Pradip K; Webster, Richard D

    2016-01-01

    This study investigates platinum group elements (PGEs) in the breathable (PM10) and respirable (PM2.5) fractions of air particulates from a heavily polluted Indian metro city. The samples were collected from traffic junctions at the heart of the city and industrial sites in the suburbs during winter and monsoon seasons of 2013-2014. PGE concentrations were determined by inductively coupled plasma-mass spectrometry (ICP-MS). The PGE concentrations in the samples from traffic junctions are within the range of 2.7-111 ng/m(3) for Pd, 0.86-12.3 ng/m(3) for Pt and 0.09-3.13 ng/m(3) for Rh, and from industrial sites are within the range of 3.12-32.3 ng/m(3) for Pd, 0.73-7.39 ng/m(3) for Pt and 0.1-0.69 ng/m(3) for Rh. Pt concentrations were lower in the monsoon compared to winter while Pd concentrations increased during monsoon and Rh stayed relatively unaffected across seasons. For all seasons and locations, concentrations of Pd > Pt > Rh, indicating dominance of Pd-containing exhaust converters. Most of the PGEs were concentrated in the PM2.5 fraction. A strong correlation (R ≥ 0.62) between the PGEs from traffic junction indicates a common emission source viz. catalytic converters, whereas a moderate to weak correlation (R ≤ 0.5) from the industrial sites indicate mixing of different sources like coal, raw materials used in the factories and automobile. A wider range of Pt/Pd, Pt/Rh and Pd/Rh ratios measured in the traffic junction possibly hint towards varying proportions of PGEs used for catalyst productions in numerous rising and established car brands.

  2. Evaluation and comparison of O3 and PM10 forecasts of ALARO-CAMx and WRF-Chem

    Science.gov (United States)

    Flandorfer, Claudia; Hirtl, Marcus

    2017-04-01

    ZAMG runs two models for Air-Quality forecasts operationally: ALARO-CAMx and WRF-Chem. ALARO-CAMx is a combination of the meteorological model ALARO and the photochemical dispersion model CAMx and is operated at ZAMG by order of the regional governments since 2005. The emphasis of this modeling system is to predict ozone peaks in the North-east Austrian flatlands. Two modeling domains are used with the highest resolution (5 km) in the Alpine region. Various new features have been implemented in the model in the past to improve the daily forecasts, e.g. data assimilation of O3 and PM10 observations from the Austrian measurement network (with optimum interpolation technique), MACC-II boundary conditions and the combination of high resolved emission inventories for Austria with TNO and EMEP data. The biogenic emissions are provided by the SMOKE model. The model runs 2 times per day for a period of 48 hours. The second model which is operational is the on-line coupled model WRF-Chem. Meteorology is simulated simultaneously with the emission, turbulent mixing, transport, transformation as well as the fate of trace gases and aerosols. 2 domains are used for the simulations. The mother domain covers Europe with a resolution of 12 km. The inner domain includes the Alpine region with a horizontal resolution of 4km. The model runs 2 times per day for a period of 72 hours and is initialized with ECMWF forecasts. The evaluation of both models is conducted for the months January to September 2016 with the main focus on the forecasts of ozone. The measurements of the Air-Quality stations are compared with the area forecasts for every province of Austria. Besides the evaluation a comparison of the forecasts of ALARO-CAMx and WRF-Chem is done. The summer 2016 was one of the 11th warmest summers since the beginning of the meteorological measurements in Austria, but one of the 15th rainiest summers, too. Due to the meteorological conditions, only two exceedances of the information

  3. 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.

  4. 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.

  5. Water soluble aerosols and gases at a UK background site - Part 1: Controls of PM2.5 and PM10 aerosol composition

    Science.gov (United States)

    Twigg, M. M.; Di Marco, C. F.; Leeson, S.; van Dijk, N.; Jones, M. R.; Leith, I. D.; Morrison, E.; Coyle, M.; Proost, R.; Peeters, A. N. M.; Lemon, E.; Frelink, T.; Braban, C. F.; Nemitz, E.; Cape, J. N.

    2015-07-01

    There is limited availability of long-term, high temporal resolution, chemically speciated aerosol measurements which can provide further insight into the health and environmental impacts of particulate matter. The Monitor for AeRosols and Gases (MARGA, Applikon B.V., NL) allows for the characterisation of the inorganic components of PM10 and PM2.5 (NH4+, NO3-, SO42-, Cl-, Na+, K+, Ca2+, Mg2+) and inorganic reactive gases (NH3, SO2, HCl, HONO and HNO3) at hourly resolution. The following study presents 6.5 years (June 2006 to December 2012) of quasi-continuous observations of PM2.5 and PM10 using the MARGA at the UK EMEP supersite, Auchencorth Moss, SE Scotland. Auchencorth Moss was found to be representative of a remote European site with average total water soluble inorganic mass of PM2.5 of 3.82 μg m-3. Anthropogenically derived secondary inorganic aerosols (sum of NH4+, NO3- and nss-SO42-) were the dominating species (63 %) of PM2.5. In terms of equivalent concentrations, NH4+ provided the single largest contribution to PM2.5 fraction in all seasons. Sea salt was the main component (73 %) of the PMcoarse fraction (PM10-PM2.5), though NO3- was also found to make a relatively large contribution to the measured mass (17 %) providing evidence of considerable processing of sea salt in the coarse mode. There was on occasions evidence of aerosol from combustion events being transported to the site in 2012 as high K+ concentrations (deviating from the known ratio in sea salt) coincided with increases in black carbon at the site. Pollution events in PM10 (defined as concentrations > 12 μg m-3) were on average dominated by NH4+ and NO3-, where smaller loadings at the site tended to be dominated by sea salt. As with other western European sites, the charge balance of the inorganic components resolved were biased towards cations, suggesting the aerosol was basic or more likely that organic acids contributed to the charge balance. This study demonstrates the UK background

  6. Emissions Inventory of Anthropogenic PM2.5 and PM10 in Mega city, Delhi, India for Air Quality Forecasting during CWG- 2010

    Science.gov (United States)

    Sahu, S.; Beig, G.; Schultz, M.; Parkhi, N.; Stein, O.

    2012-04-01

    The mega city of Delhi is the second largest urban agglomeration in India with 16.7 mio. inhabitants. Delhi has the highest per capita power consumption of electricity in India and the demand has risen by more than 50% during the last decade. Emissions from commercial, power, domestic and industrial sectors have strongly increased causing more and more environmental problems due to air pollution and its adverse impacts on human health. Particulate matter (PM) of size less than 2.5-micron (PM2.5) and 10 micron (PM10) have emerged as primary pollutants of concern due to their adverse impact on human health. As part of the System of Air quality Forecasting and Research (SAFAR) project developed for air quality forecasting during the Commonwealth Games (CWG) - 2010, a high resolution Emission Inventory (EI) of PM10 and PM2.5 has been developed for the metropolitan city Delhi for the year 2010. The comprehensive inventory involves detailed activity data and has been developed for a domain of 70km×65km with a 1.67km×1.67km resolution covering Delhi and its surrounding region (i.e. National Capital Region (NCR)). In creating this inventory, Geographical Information System (GIS) based techniques were used for the first time in India. The major sectors considered are, transport, thermal power plants, industries, residential and commercial cooking along with windblown road dust which is found to play a major role for the megacity environment. Extensive surveys were conducted among the Delhi slum dwellers (Jhuggi) in order to obtain more robust estimates for the activity data related to domestic cooking and heating. Total emissions of PM10 and PM2.5 including wind blown dust over the study area are found to be 236 Gg/yr and 94 Gg/yr respectively. About half of the PM10 emissions stem from windblown road dust. The new emission inventory has been used for regional air quality forecasts in the Delhi region during the Commonwealth games (SAFAR project), and they will soon be

  7. Water soluble aerosols and gases at a UK background site – Part 1: Controls of PM2.5 and PM10 aerosol composition

    Directory of Open Access Journals (Sweden)

    M. M. Twigg

    2015-02-01

    Full Text Available There is limited availability of long-term, high temporal resolution, chemically speciated aerosol measurements, which can lead to further insight into the health and environmental impacts of particulate matter. The Monitor for AeRosols and Gases (MARGA, Applikon B.V., NL allows characterisation of the inorganic components of PM10 and PM2.5 (NH4+, NO3−, SO42−, Cl−, Na+, K+, Ca2+, Mg2+ and inorganic reactive gases (NH3, SO2, HCl, HONO and HNO3 at hourly resolution. The following study presents 6.5 years (June 2006 to December 2012 of quasi-continuous observations of PM2.5 and PM10 using the MARGA at the UK EMEP "Supersite", Auchencorth Moss, SE Scotland. Auchencorth Moss was found to be representative of a remote European site with average total water soluble inorganic mass of PM2.5 of 3.82 μg m−3. Anthropogenically derived secondary inorganic aerosols (sum of NH4+, NO3− and nss-SO42−, were the dominating species (63% of PM2.5. In terms of equivalent concentrations, NH4+ provided the single largest contribution to PM2.5 fraction in all seasons. Sea salt, was the main component (73% of the PMcoarse fraction (PM10–PM2.5, though NO3− was also found to make a relatively large contribution to the measured mass (17% as providing evidence of considerable processing of sea salt in the coarse mode. There was on occasions evidence of aerosol from combustion events being transported to the site in 2012 as high K+ concentrations (deviating from the known ratio in sea salt coincided with increases in black carbon at the site. Pollution events in PM10 (defined as concentrations > 12 μg m−3 were on average dominated by NH4+ and NO3−, where as smaller loadings at the site tended to be dominated by sea salt. As with other Western European sites, the charge balance of the inorganic components resolved were biased towards cations, suggesting the aerosol was basic or more likely, that organic acids

  8. 鹤壁市可吸入颗粒物PM10来源的研究%Study on Source Apportionment for Ambient Air PM10 in Hebi

    Institute of Scientific and Technical Information of China (English)

    田丽; 魏宏伟; 洪波; 庞建国; 张建林

    2013-01-01

    对鹤壁市大气PM10中化学元素进行分析,利用富集因子法研究元素对环境的影响,表明PM10中As、Ca、Cd、C、Cu、Pb、S、Zn有明显富集;鹤壁市大气PM10中的As、C、S的污染主要来自于工业燃煤排放的气体,Ca主要来源于水泥生产企业和地面扬尘,Pb、Cd主要来源于机动车尾气和其它一些化工企业;鹤壁市大气PM10老城区的C、Ca、Cd、Cu、Pb、S和Zn的富集因子数都高于新城区.%Atmospheric chemical element in PM10 of Hebi city is analyzed.The element impact on the environment was researched using the enrichment factor method,the research results showed that As,Ca,Cd,C,Cu and Pb,S,Zn in PM10 have obvious enrichment.The charactor elements of the eight main emission sources of PM10 in Hibi are as followes:(1) coal combustion:As,C,S (2):cement dust and the dust from land surface:Ca(3):motor vehicle exhausts:Pb,Cd.The result showed that the enrichment factor of the main chemical elements of PM10 in the old city of Hibi is higher than that in the new city.

  9. Elemental compositions of PM10-2.5 and PM2.5 aerosols of a Nigerian urban city using ion beam analytical techniques

    Science.gov (United States)

    Ezeh, G. C.; Obioh, I. B.; Asubiojo, O. I.; Chiari, M.; Nava, S.; Calzolai, G.; Lucarelli, F.; Nuviadenu, C. K.

    2014-09-01

    The paucity of data on air quality studies in Nigeria prompted us to commence the sampling of particulate matter (PM10-2.5 and PM2.5) in Mushin Lagos, Nigeria. Both size-segregated fractions were collected using a double staged ‘Gent' stack filter unit sampler. Elemental characterization was carried out by Particle Induced X-ray Emission (PIXE) and Proton Induced γ-ray Emission (PIGE) techniques using an external ion beam set-up. Twenty-four elements (Na, Mg, Al, Si, P, S, Cl, K, Ca, Ti, V, Cr, Mn, Fe, Ni, Cu, Zn, Se, Br, Rb, Sr, Zr, Cs and Pb) were detected in both fractions and their concentrations were assessed. A study of their inter-elemental correlations indicated that some elements could have common source origins or similar chemical properties while enrichment factors (EF) displayed that most elements emanated from anthropogenic sources. Source apportionment studies are thus recommended.

  10. The effect of climate and meteorological changes on particulate matter in Pune, India.

    Science.gov (United States)

    Yadav, Suman; Praveen, O Divya; Satsangi, P Gursumeeran

    2015-07-01

    This paper presents the distinctiveness of particulate matter (PM) mass concentrations (PM10, PM2.5, and PM10-2.5) and meteorological effect in Pune city during 2011-2012. The PM samples were collected using Mini-Vol TAS air sampler (Airmetrics Co. Inc., 5 l min(-1) flow rate). The meteorological parameters were also measured during the study period. The analysis of 24-h average PM10, PM2.5, and PM10-2.5 concentrations showed the maximum during winter (267.2-67.2, 180.6-55.6, 138.9-11.7 μg m(-3)) followed by summer (236.1-55.5, 138.8-27.7, 125-13.8 μg m(-3)) and post-monsoon (153.3-82.3, 138.9-41.7, 41.7-14.4 μg m(-3)) and showed the lowest concentration during monsoon (98.9-27.8, 83.3-13.9, 40.0-6.0 μg m(-3)) seasons in the entire study. PM10 comprised a vast fraction of PM2.5 (61% of PM2.5), while the estimated PM2.5/PM10 ratios for monsoon, post-monsoon, winter, and summer seasons were ranged between 0.5 and 0.9, 0.51 and 0.91, 0.3 and 0.9, and 0.3 and 0.8, respectively. The 7-day back trajectories analysis for whole year shows that the air masses transported to Pune were mixed mainland-maritime such as from southwesterly, north, northwest. Chemometric analysis was applied as a tool to evaluate and predict the particulate mass concentration from available meteorological data. To achieve this, a calibration model was developed by partial least squares regression (PLSR) method and was further used to predict the PM concentrations based on meteorological data. On predicting the PM concentration from local meteorological data, the model performance and quality was found very good in case of PM10 compared to PM2.5.

  11. Inter-comparison of source apportionment of PM10 using PMF and CMB in three sites nearby an industrial area in central Italy

    Science.gov (United States)

    Cesari, Daniela; Donateo, Antonio; Conte, Marianna; Contini, Daniele

    2016-12-01

    Receptor models (RMs), based on chemical composition of particulate matter (PM), such as Chemical Mass Balance (CMB) and Positive Matrix Factorization (PMF), represent useful tools for determining the impact of PM sources to air quality. This information is useful, especially in areas influenced by anthropogenic activities, to plan mitigation strategies for environmental management. Recent inter-comparison of source apportionment (SA) results showed that one of the difficulties in the comparison of estimated source contributions is the compatibility of the sources, i.e. the chemical profiles of factor/sources used in receptor models. This suggests that SA based on integration of several RMs could give more stable and reliable solutions with respect to a single model. The aim of this work was to perform inter-comparison of PMF (using PMF3.0 and PMF5.0 codes) and CMB outputs, focusing on both source chemical profiles and estimates of source contributions. The dataset included 347 daily PM10 samples collected in three sites in central Italy located near industrial emissions. Samples were chemically analysed for the concentrations of 21 chemical species (NH4+, Ca2 +, Mg2 +, Na+, K+, Mg2 +, SO42 -, NO3-, Cl-, Si, Al, Ti, V, Mn, Fe, Ni, Cu, Zn, Br, EC, and OC) used as input of RMs. The approach identified 9 factor/sources: marine, traffic, resuspended dust, biomass burning, secondary sulphate, secondary nitrate, crustal, coal combustion power plant and harbour-industrial. Results showed that the application of constraints in PMF5.0 improved interpretability of profiles and comparability of estimated source contributions with stoichiometric calculations. The inter-comparison of PMF and CMB gave significant differences for secondary nitrate, biomass burning, and harbour-industrial sources, due to non-compatibility of these source profiles that have local specificities. When these site-dependent specificities were taken into account, optimising the input source profiles of

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

    Science.gov (United States)

    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 ...

  13. 76 FR 8300 - Finding of Failure To Submit State Implementation Plan Revisions for Particulate Matter, PM-10...

    Science.gov (United States)

    2011-02-14

    ... triggers the 18-month clock for mandatory application of sanctions and 2-year clock for a federal... cardiopulmonary system. Children, the elderly, and people with asthma and heart conditions are the most vulnerable. ] On July 1, 1987 EPA revised the health-based NAAQS (52 FR 24672), replacing the standards for...

  14. Monitoring particulate matters in urban areas in Malaysia using remote sensing and ground-based measurements

    Science.gov (United States)

    Kanniah, K. D.; Kamarul Zaman, Nurul Amalin Fatihah; Lim, H. Q.; Reba, Mohd Nadzri Md.

    2014-10-01

    Monitoring particulate matter less than 10 μm (PM10) near the ground routinely is critical for Malaysia for emergency management because Malaysia receives considerable amount of pollutants from both local and trans-boundary sources. Nevertheless, aerosol data covering major cities over a large spatial extent and on a continuous manner are limited. Thus, in the present study we aimed to estimate PM10 at 5 km spatial scale using AOD derived from MERIS sensor at 3 metropolitan cities in Malaysia. MERIS level 2 AOD data covering 5 years (2007-2011) were used to develop an empirical model to estimate PM10 at 11 locations covering Klang valley, Penang and Johor Bahru metropolitan cities. This study is different from previous studies conducted in Malaysia because in the current study we estimated PM10 by considering meteorological parameters that affect aerosol properties, including atmospheric stability, surface temperature and relative humidity derived from MODIS data and our product will be at ~5 km spatial scale. Results of this study show that the direct correlation between monthly averaged AOD and PM10 yielded a low and insignificant relationship (R2= 0.04 and RMSE = 7.06μg m-3). However, when AOD, relative humidity, land surface temperature and k index (atmospheric stability) were combined in a multiple linear regression analysis the correlation coefficient increased to 0.34 and the RMSE decreased to 8.91μg m-3. Among the variables k- index showed highest correlation with PM 10 (R2=0.35) compared to other variables. We further improved the relationship among PM10 and the independent variables using Artificial Neural Network. Results show that the correlation coefficient of the calibration dataset increased to 0.65 with low RMSE of 6.72μg m-3. The results may change when we consider more data points covering 10 years (2002- 2011) and enable the construction of a local model to estimate PM10 in urban areas in Malaysia.

  15. Comparison of PM10 concentrations and metal content in three different sites of the Venice Lagoon: An analysis of possible aerosol sources

    Institute of Scientific and Technical Information of China (English)

    Daniele Contini; Franco Belosi; Andrea Gambaro; Daniela Cesari; Angela Maria Stortini; Maria Chiara Bove

    2012-01-01

    The Venice Lagoon is exposed to atmospheric pollutants from industrial activities,thermoelectric power plants,petrochemical plants,incinerator,domestic heating,ship traffic,glass factories and vehicular emissions on the mainland.In 2005,construction began on the mobile dams (MOSE),one dam for each channel connecting the lagoon to the Adriatic Sea as a barrier against high tide.These construction works could represent an additional source of pollutants.PM10 samples were taken on random days between 2007 and 2010 at three different sites:Punta Sabbioni,Chioggia and Malamocco,located near the respective dam construction worksites.Chemical analyses of V,Cr,Fe,Co,Ni,Cu,Zn,As,Mo,Cd,Sb,T1 and Pb in PM10 samples were performed by Inductively coupled plasmaquadrupole mass spectrometry (ICP-QMS) and results were used to identify the main aerosol sources.The correlation of measured data with meteorology,and source apportionment,failed to highlight a contribution specifically associated to the emissions of the MOSE construction works.The comparison of the measurements at the three sites showed a substantial homogeneity of metal concentrations in the area.Source apportionment with principal component analysis (PCA) and positive matrix factorization (PMF) showed that a four principal factors model could describe the sources of metals in PM10.Three of them were assigned to specific sources in the area and one was characterised as a source of mixed origin (anthropogenic and crustal).A specific anthropogenic source of PM10 rich in Ni and Cr,active at the Chioggia site,was also identified.

  16. Estimation of the direct and indirect impacts of fireworks on the physicochemical characteristics of atmospheric PM10 and PM2.5

    Science.gov (United States)

    Tian, Y. Z.; Wang, J.; Peng, X.; Shi, G. L.; Feng, Y. C.

    2014-09-01

    To quantify the total, direct and indirect impacts of fireworks individually, size-resolved PM samples were collected before, during and after a Chinese folk festival (Chinese New Year) in a megacity in China. Through chemical analysis and morphological characterisation, a strong influence of fireworks on the physicochemical characteristics of PM10 and PM2.5 was observed. The concentrations of many species exhibited an increasing trend during the heavy-firework period, especially for K+, Mg2+ and Cr; the results of the non-sea-salt ions demonstrated an anthropogenic influence on K+ and Mg2+. Then, source apportionment was conducted by receptor models and peak analysis (PA). The total influence of the fireworks was quantified by positive matrix factorisation (PMF), showing that the fireworks contributed higher fractions (23.40% for PM10 and 29.66% for PM2.5) during the heavy-firework period than during the light-firework period (4.28% for PM10 and 7.18% for PM2.5). The profiles of the total fireworks obtained by two independent methods (PMF and peak analysis) were consistent, with higher abundances of K+, Al, Si, Ca and organic carbon (OC). Finally, the individual contributions of the direct and indirect impacts of fireworks were quantified by chemical mass balance (CMB). The percentage contributions of resuspended dust, biomass combustion and direct fireworks were 36.8 ± 8.37%, 14.1 ± 2.82% and 44.4 ± 8.26%, respectively, for PM10 and 34.9 ± 4.19%, 16.6 ± 3.05% and 52.5 ± 9.69%, respectively, for PM2.5, in terms of the total fireworks. The quantification of the total, direct and indirect impacts of fireworks in the ambient PM gives a original contribution for understanding the physicochemical characteristics and mechanisms of such high-intensity anthropogenic activities.

  17. High-Fidelity Micromechanics Model Enhanced for Multiphase Particulate Materials

    Science.gov (United States)

    Pindera, Marek-Jerzy; Arnold, Steven M.

    2003-01-01

    This 3-year effort involves the development of a comprehensive micromechanics model and a related computer code, capable of accurately estimating both the average response and the local stress and strain fields in the individual phases, assuming both elastic and inelastic behavior. During the first year (fiscal year 2001) of the investigation, a version of the model called the High-Fidelity Generalized Method of Cells (HFGMC) was successfully completed for the thermo-inelastic response of continuously reinforced multiphased materials with arbitrary periodic microstructures (refs. 1 and 2). The model s excellent predictive capability for both the macroscopic response and the microlevel stress and strain fields was demonstrated through comparison with exact analytical and finite element solutions. This year, HFGMC was further extended in two technologically significant ways. The first enhancement entailed the incorporation of fiber/matrix debonding capability into the two-dimensional version of HFGMC for modeling the response of unidirectionally reinforced composites such as titanium matrix composites, which exhibit poor fiber/matrix bond. Comparison with experimental data validated the model s predictive capability. The second enhancement entailed further generalization of HFGMC to three dimensions to enable modeling the response of particulate-reinforced (discontinuous) composites in the elastic material behavior domain. Next year, the three-dimensional version will be generalized to encompass inelastic effects due to plasticity, viscoplasticity, and damage, as well as coupled electromagnetothermomechanical (including piezoelectric) effects.

  18. Source apportionment of particulate matter in Denmark

    Science.gov (United States)

    Moenster, J.; Glasius, M.; Nielsen, O. J.; Bilde, M.; Jensen, F. P.

    2005-12-01

    Atmospheric particulate matter (PM) has received considerable attention over the last decade as an important component of air pollution, particularly due to its health effects on the exposed population. Typically the mass of particles with diameters smaller that 10 μm (PM10) has been used in large cohort studies to estimate health effects such as increase in hospitalization rate, asthma attacks and premature deaths. Particles smaller than 2.5 μm (PM2.5) and ultra fine particles have been used in various epidemiological studies and correlations between exposure to fine and ultra fine particles and health effects have been found. Limits of acceptable concentrations of PM10, PM2.5 and some carcinogenic species have been made, and it is important to find the origin of the particulate matter to prevent exceeds of these limits. This can be done by measuring particle mass, organic/inorganic fractions of particles, the chemical components and other relevant factors, and then use receptor modeling for source apportionment of the particulate matter. We have done measurements at street level and urban background in Copenhagen, Denmark, to determine the origin of different sizes of particulate matter and the toxic organic compounds connected to these particles. We also did measurements in a small village with less traffic and more residential wood combustion for a comparison between traffic and wood combustion generated pollution. Our results show a significant amount of particulate matter coming from non local sources and are dominated by long-range transported inorganic salts. The amount of these is highly depended on the wind direction and thus on the origin of the wind plume. The origin of the carcinogenic organic compound benzo(a)pyrene was found to be local combustion sources. To prevent events of high particulate matter concentration in Copenhagen, Denmark, a reduction of emission from the local traffic will only lead to a minor effect, since the majority of the

  19. Development of land use regression models for nitrogen dioxide, ultrafine particles, lung deposited surface area, and four other markers of particulate matter pollution in the Swiss SAPALDIA regions.

    Science.gov (United States)

    Eeftens, Marloes; Meier, Reto; Schindler, Christian; Aguilera, Inmaculada; Phuleria, Harish; Ineichen, Alex; Davey, Mark; Ducret-Stich, Regina; Keidel, Dirk; Probst-Hensch, Nicole; Künzli, Nino; Tsai, Ming-Yi

    2016-04-18

    Land Use Regression (LUR) is a popular method to explain and predict spatial contrasts in air pollution concentrations, but LUR models for ultrafine particles, such as particle number concentration (PNC) are especially scarce. Moreover, no models have been previously presented for the lung deposited surface area (LDSA) of ultrafine particles. The additional value of ultrafine particle metrics has not been well investigated due to lack of exposure measurements and models. Air pollution measurements were performed in 2011 and 2012 in the eight areas of the Swiss SAPALDIA study at up to 40 sites per area for NO2 and at 20 sites in four areas for markers of particulate air pollution. We developed multi-area LUR models for biannual average concentrations of PM2.5, PM2.5 absorbance, PM10, PMcoarse, PNC and LDSA, as well as alpine, non-alpine and study area specific models for NO2, using predictor variables which were available at a national level. Models were validated using leave-one-out cross-validation, as well as independent external validation with routine monitoring data. Model explained variance (R(2)) was moderate for the various PM mass fractions PM2.5 (0.57), PM10 (0.63) and PMcoarse (0.45), and was high for PM2.5 absorbance (0.81), PNC (0.87) and LDSA (0.91). Study-area specific LUR models for NO2 (R(2) range 0.52-0.89) outperformed combined-area alpine (R (2)  = 0.53) and non-alpine (R (2)  = 0.65) models in terms of both cross-validation and independent external validation, and were better able to account for between-area variability. Predictor variables related to traffic and national dispersion model estimates were important predictors. LUR models for all pollutants captured spatial variability of long-term average concentrations, performed adequately in validation, and could be successfully applied to the SAPALDIA cohort. Dispersion model predictions or area indicators served well to capture the between area variance. For NO2, applying study

  20. Spatiotemporal distribution and short-term trends of particulate matter concentration over China, 2006-2010.

    Science.gov (United States)

    Yao, Ling; Lu, Ning

    2014-01-01

    Air quality problems caused by atmospheric particulate have drawn broad public concern in the global scope. In the paper, the spatiotemporal distributions of fine particle (PM2.5) and inhalable particle (PM10) concentrations estimated with the artificial neural network (ANN) over China during 2006 to 2010 have been discussed. Most high PM10 concentration appears in Xinjiang, Qinghai, Gansu, Ningxia, Hubei, and parts of Inner Mongolia. The distribution of PM2.5 concentration is consistent with China's three gradient terrains. The seasonal variations of PM2.5 and PM10 concentrations both indicate that they are higher in north China in spring and winter, lowest in summer. In autumn, most provinces in south China appear high value. In particular, high PM2.5 concentration appears in the southeast coastal cities while high PM10 concentration prefers the central regions in south China. On this basis, seasonal Mann-Kendall test method is utilized to analyze the short-term trends. The results also show significant changes of PM2.5 and PM10 concentrations of China in the past 5 years, and most provinces present the tendency of reduction (3-5 μg/m(3) for PM2.5 and 10-20 μg/m(3) for PM10 per year) while a fraction of provinces appear the increasing trend of 8-16 μg/m(3) (PM2.5) and 16-30 μg/m(3) (PM10). Simultaneously, PM2.5 population exposure is discussed with the combination of population density-gridded data. Municipalities get much higher exposure level than other provinces. Shanghai suffers the highest population exposure to PM2.5, followed by Beijing and then Tianjin, Jiangsu province. Most provincial capitals, such as Guangzhou, Nanjing, Chengdu, and Wuhan, face much higher exposure level than other regions of their province. Moreover, the PM2.5 exposure situation is more serious in southeast than northwest regions for Beijing-Tianjin-Hebei region. Also, per capita PM2.5 concentration and population-weighted PM2.5 concentration are calculated. The former shows that

  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. Influence of road traffic, residential heating and meteorological conditions on PM10 concentrations during air pollution critical episodes.

    Science.gov (United States)

    Gualtieri, Giovanni; Toscano, Piero; Crisci, Alfonso; Di Lonardo, Sara; Tartaglia, Mario; Vagnoli, Carolina; Zaldei, Alessandro; Gioli, Beniamino

    2015-12-01

    The importance of road traffic, residential heating and meteorological conditions as major drivers of urban PM10 concentrations during air pollution critical episodes has been assessed in the city of Florence (Italy) during the winter season. The most significant meteorological variables (wind speed and atmospheric stability) explained 80.5-85.5% of PM10 concentrations variance, while a marginal role was played by major emission sources such as residential heating (12.1%) and road traffic (5.7%). The persistence of low wind speeds and unstable atmospheric conditions was the leading factor controlling PM10 during critical episodes. A specific PM10 critical episode was analysed, following a snowstorm that caused a "natural" scenario of 2-day dramatic road traffic abatement (-43%), and a massive (up to +48%) and persistent (8 consecutive days) increase in residential heating use. Even with such a strong variability in local PM10 emissions, the role of meteorological conditions was prominent, revealing that short-term traffic restrictions are insufficient countermeasures to reduce the health impacts and risks of PM10 critical episodes, while efforts should be made to anticipate those measures by linking them with air quality and weather forecasts.

  4. 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.

  5. Spatial/temporal variations of elemental carbon, organic carbon, and trace elements in PM10 and the impact of land-use patterns on community air pollution in Paterson, NJ.

    Science.gov (United States)

    Yu, Chang Ho; Fan, Zhi-Hua; Meng, Qingyu; Zhu, Xianlei; Korn, Leo; Bonanno, Linda J

    2011-06-01

    An urban community PM10 (particulate matter pollution study was conducted in Paterson, NJ, a mixed land-use community that is interspersed with industrial, commercial, mobile, and residential land-use types. This paper examines (1) the spatial/temporal variation of PM10, elemental carbon (EC), organic carbon (OC), and nine elements; and (2) the impact of land-use type on those variations. Air samples were collected from three community-oriented locations in Paterson that attempted to capture industrial, commercial, and mobile source-dominated emissions. Sampling was conducted for 24 hr every 6 days from November 2005 through December 2006. Samples were concurrently collected at the New Jersey Department of Environmental Protection-designated air toxics background site in Chester, NJ. PM10 mass, EC, OC, and nine elements (Ca, Cu, Fe, Pb, Mn, Ni, S, Ti, and Zn) that had more than 50% of samples above detection and known sources or are toxic were selected for spatial/temporal analysis in this study. The concentrations of PM10, EC, OC, and eight elements (except S) were significantly higher in Paterson than in Chester (P 0.05). These results indicated that anthropogenic sources of air pollution were present in Paterson. The source apportionment confirmed the impact of vehicular and industrial emissions on the PM10 ambient air pollution in Paterson. The multiple linear regression analysis showed that categorical land-use type was a significant predictor for all air pollution levels, explaining up to 42% of the variability in concentration by land-use type only.

  6. Biomonitoring of airborne particulate matter emitted from a cement plant and comparison with dispersion modelling results

    Science.gov (United States)

    Abril, Gabriela A.; Wannaz, Eduardo D.; Mateos, Ana C.; Pignata, María L.

    2014-01-01

    The influence of a cement plant that incinerates industrial waste on the air quality of a region in the province of Córdoba, Argentina, was assessed by means of biomonitoring studies (effects of immission) and atmospheric dispersion (effects of emission) of PM10 with the application of the ISC3 model (Industrial Source Complex) developed by the USEPA (Environmental Protection Agency). For the biomonitoring studies, samples from the epiphyte plant Tillandsia capillaris Ruíz & Pav. f. capillaris were transplanted to the vicinities of the cement plant in order to determine the physiological damage and heavy metal accumulation (Ca, Mn, Fe, Co, Ni, Cu, Zn, Cd and Pb). For the application of the ISC3 model, point and area sources from the cement plant were considered to obtain average PM10 concentration results from the biomonitoring exposure period. This model permitted it to be determined that the emissions from the cement plant (point and area sources) were confined to the vicinities, without significant dispersion in the study area. This was also observed in the biomonitoring study, which identified Ca, Cd and Pb, pH and electric conductivity (EC) as biomarkers of this cement plant. Vehicular traffic emissions and soil re-suspension could be observed in the biomonitors, giving a more complete scenario. In this study, biomonitoring studies along with the application of atmospheric dispersion models, allowed the atmospheric pollution to be assessed in more detail.

  7. Biodirected mutagenic chemical assay of PM(10) extractable organic matter in Southwest Mexico City.

    Science.gov (United States)

    Villalobos-Pietrini, Rafael; Hernández-Mena, Leonel; Amador-Muñoz, Omar; Munive-Colín, Zenaida; Bravo-Cabrera, José Luis; Gómez-Arroyo, Sandra; Frías-Villegas, Alejandro; Waliszewski, Stefan; Ramírez-Pulido, José; Ortiz-Muñiz, Rocío

    2007-12-01

    The concentration of breathable particles (PM(10)) in urban areas has been associated with increases in morbidity and mortality of the exposed populations, therein the importance of this study. Organic compounds adsorbed to PM(10) are related to the increased risk to human health. Although some studies have shown the lack of correlation between specific mutagenic compounds in an organic complex mixture (OCM) and the mutagenic response in several bioassays, the same organic compounds selectively separated in less complex groups can show higher or lower mutagenic responses than in the OCM. In this study, we fractionated the OCM, from the PM(10) in four organic fractions of increasing polarity (F1-F4). The Salmonella bioassay with plate incorporation was applied for each one using TA98, with and without S9 (mammalian metabolic activation), and YG1021 (without S9) strains. The most polar fraction (F4) contained the greatest mass followed by F1 (non-polar), F2 and F3 (moderately polar). The concentrations of the OCM as well as the F4 were the only variables correlated with PM(10), atmospheric thermal inversions, fire-prone area, NO(2), SO(2), CO, rain and relative humidity. This indicated that polar organic compounds were originated in gas precursors formed during the atmospheric thermal inversions as well as the product of the incomplete combustion of vehicular exhausts and of burned vegetation. The percentages of the total PAH, and the individual PAH with molecular weight > or = 228 g mol(-1) (except retene) correlated with the percentages of indirect-acting mutagenicity in TA98+S9. The percentages of the total nitro-PAH and most of the analyzed individual nitro-PAH correlated with percentages of the direct-acting mutagenicity in both TA98-S9 and YG1021, the latter being more sensitive. In general, the highest mutagenic activity (indirect and direct) was found in F3 (moderately polar) and in F4 (polar). The non-polar fraction (F1) did not exhibit any kind of

  8. Fuel Efficient Diesel Particulate Filter (DPF) Modeling and Development

    Energy Technology Data Exchange (ETDEWEB)

    Stewart, Mark L.; Gallant, Thomas R.; Kim, Do Heui; Maupin, Gary D.; Zelenyuk, Alla

    2010-08-01

    The project described in this report seeks to promote effective diesel particulate filter technology with minimum fuel penalty by enhancing fundamental understanding of filtration mechanisms through targeted experiments and computer simulations. The overall backpressure of a filtration system depends upon complex interactions of particulate matter and ash with the microscopic pores in filter media. Better characterization of these phenomena is essential for exhaust system optimization. The acicular mullite (ACM) diesel particulate filter substrate is under continuing development by Dow Automotive. ACM is made up of long mullite crystals which intersect to form filter wall framework and protrude from the wall surface into the DPF channels. ACM filters have been demonstrated to effectively remove diesel exhaust particles while maintaining relatively low backpressure. Modeling approaches developed for more conventional ceramic filter materials, such as silicon carbide and cordierite, have been difficult to apply to ACM because of properties arising from its unique microstructure. Penetration of soot into the high-porosity region of projecting crystal structures leads to a somewhat extended depth filtration mode, but with less dramatic increases in pressure drop than are normally observed during depth filtration in cordierite or silicon carbide filters. Another consequence is greater contact between the soot and solid surfaces, which may enhance the action of some catalyst coatings in filter regeneration. The projecting crystals appear to provide a two-fold benefit for maintaining low backpressures during filter loading: they help prevent soot from being forced into the throats of pores in the lower porosity region of the filter wall, and they also tend to support the forming filter cake, resulting in lower average cake density and higher permeability. Other simulations suggest that soot deposits may also tend to form at the tips of projecting crystals due to the axial

  9. 南京冬季大气气溶胶PM10中PAHs的来源及特征分析%Analysis on Sources and Characteristics of PAHs in Atmosphere Spirit Dissolve Gum PM10 during Winter in Nanjing

    Institute of Scientific and Technical Information of China (English)

    孔祥晨; 陈丽; 呼群; 刘先锋

    2011-01-01

    The main sources and characteristics of PAHs in PM10 during winter in Nanjing are studied. The results indicate that based on the comparison of characteristic ratios method, the main sources of PAHs in PM10 during winter in Nanjing are vehicle emissions; by method of analysis of hysplit, beside Nanjing, Shandong and Shanghai are as the main sources of PAHs in PM10 during winter in Nanjing under northeasterly. Correlation analysis indicates that because of the high correlation, they may come from the same source, and diurnal variation of second ring PAHs( NaP) are different from other rings, the mass concentrations at night are slightly higher than daytime.%研究了南京冬季大气气溶胶PM10中PAHs的来源及特征.结果表明,通过特征比值的比较,得出南京冬季PM10中PAHs主要来源于车辆排放;通过后向轨迹法分析看出,除了南京外,因为盛行东北风,南京东北方向的山东地区也是南京冬季PM10中PAHs的重要来源;相关性分析表明,高环数的PAHs间相关性很高,表明它们可能来自相同的污染源;南京冬季PM10中,2环PAHs( Nap)的昼夜变化与其他环数PAHs不同,其质量浓度在夜间总是稍高于白天.

  10. 75 FR 1543 - Approval and Promulgation of Implementation Plans; Puerto Rico; Guaynabo PM10

    Science.gov (United States)

    2010-01-12

    ... health or environmental effects, using practicable and legally permissible methods, under Executive Order... Part 52 Environmental protection, Air pollution control, Incorporation by reference, Intergovernmental relations, Particulate matter. 40 CFR Part 81 Air pollution control, National parks, Wilderness...

  11. Identification of PM10 characteristics involved in cellular responses in human bronchial epithelial cells (Beas-2B).

    Science.gov (United States)

    Van Den Heuvel, Rosette; Den Hond, Elly; Govarts, Eva; Colles, Ann; Koppen, Gudrun; Staelens, Jeroen; Mampaey, Maja; Janssen, Nicole; Schoeters, Greet

    2016-08-01

    Notwithstanding evidence is present that physicochemical characteristics of ambient particles attribute to adverse health effects, there is still some lack of understanding in this complex relationship. At this moment it is not clear which properties (such as particle size, chemical composition) or sources of the particles are most relevant for health effects. This study investigates the in vitro toxicity of PM10 in relation to PM chemical composition, black carbon (BC), endotoxin content and oxidative potential (OP). In 2013-2014 PM10 was sampled (24h sampling, 108 sampling days) in ambient air at three sites in Flanders (Belgium) with different pollution characteristics: an urban traffic site (Borgerhout), an industrial area (Zelzate) and a rural background location (Houtem). To characterize the toxic potential of PM10, airway epithelial cells (Beas-2B cells) have been exposed to particles in vitro. Different endpoints were studied including cell damage and death (cell viability) using the Neutral red Uptake assay, the production of pro-inflammatory molecules by interleukin 8 (IL-8) induction and DNA-damaging activity using the FPG-modified Comet assay. The endotoxin levels in the collected samples were analysed and the capacity of PM10 particles to produce reactive oxygen species (OP) was evaluated by electron paramagnetic resonance (EPR) spectroscopy. Chemical characteristics of PM10 (BC, As, Cd, Cr, Cu, Mn, Ni, Pb, Zn) and meteorological conditions were recorded on the sampling days. PM10 particles exhibited dose-dependent cytotoxicity in Beas-2B cells and were found to significantly induce the release of IL-8 in samples from the three locations. Oxidatively damaged DNA was observed in exposed Beas-2B cells. Endotoxin levels above the detection limit were detected in half of the samples. OP was measurable in all samples. Associations between PM10 characteristics and biological effects of PM10 were assessed by single and multiple regression analyses. The

  12. Particulate matter pollution in Mexico City

    Energy Technology Data Exchange (ETDEWEB)

    Vega R, E.; Mora P, V. [Instituto Mexicano del Petroleo, Mexico Distrito Federal (Mexico); Mugica A, V. [Universidad Autonoma Metropolitana-Azcapotzalco, Mexico Distrito Federal (Mexico)

    1998-12-31

    The levels of particulate matter are of concern since they may induce severe effects on public health and is the second atmospheric pollution problem in Mexico City. Another noticeable effect in large cities attributable to particulate matter, is the deterioration of visibility. In this paper the analysis of the data of TSP and PM10 during 1988 to 1996 is presented. The seasonal variation of particulate matter, the typical ratios of PM10/TSP and relationships of the two variables were determined. It was found that PM10 concentrations show an important tendency to decrease during this period, due to some control strategies, although this is not the case for TSP. The monthly trend exhibits a clear relationship with the dry (October through April) and wet (May through September) seasons. The particulate matter concentrations are lower during the wet season. The hourly behavior shows that the highest concentrations are correlated with the traffic rush hours. The most TSP polluted area was the northeast, meanwhile the southeast is the most PM10 polluted area. There is a clear evidence of the particulate matter transportation from these areas to other sites of the City.

  13. Comparison of continuous monitor (TEOM) and gravimetric sampler particulate matter concentrations

    Science.gov (United States)

    The Tapered Element Oscillating Microbalance (TEOM) sampler is an EPA designated equivalent method sampler for measuring PM10 concentrations. PM10 refers to the mass fraction of particulate matter suspended in the atmosphere having a nominal aerodynamic diameter less than or equal to 10 micrometers ...

  14. CV-Dust: Atmospheric aerosol in the Cape Verde region: carbon and soluble fractions of PM10

    Science.gov (United States)

    Pio, C.; Nunes, T.; Cardoso, J.; Caseiro, A.; Custódio, D.; Cerqueira, M.; Patoilo, D.; Almeida, S. M.; Freitas, M. C.

    2012-04-01

    than 100 PM10 samples, addressing mainly their mass concentrations and the chemical composition of water soluble ions and carbon species (carbonates and organic and elemental carbon). Different PM10 samplers worked simultaneously in order to collect enough mass to make the aerosol characterization through the different methodologies and to collect aerosols in different filter matrixes, which have to be appropriated to the chemical and mineralogical analysis. The sampling site was located at Santiago Island, in the surroundings of Praia City (14° 55' N e 23° 29' W, 98 m at sea level). High concentrations, up to more than 400 μg m-3, are connected to north-east and north-northeast winds, and it was identified several dust events characteristic of "bruma seca", whose duration is on average of two to four days. Backward trajectories analysis confirms that the high concentrations in Cape Verde are associated with air masses passing over the Sahara. During dust events the percentage of inorganic water soluble ions for the total PM10 mass concentration decreased significantly to values lower than 10% in comparison with remainder data that range around 45±10%. Acknowledgement: This work was funded by the Portuguese Science Foundation (FCT) through the project PTDD/AAC-CLI/100331/2008 and FCOMP-01-0124-FEDER-008646 (CV-Dust). J. Cardoso acknowledges the PhD grant SFRH-BD-6105-2009 from FCT.

  15. Particulate Matter Contributions from Agricultural Tilling Operations in an Irrigated D