WorldWideScience

Sample records for air pollution modelling

  1. Geostatistical models for air pollution

    International Nuclear Information System (INIS)

    The objective of this paper is to present geostatistical models applied to the spatial characterisation of air pollution phenomena. A concise presentation of the geostatistical methodologies is illustrated with practical examples. The case study was conducted in an underground copper-mine located on the southern of Portugal, where a biomonitoring program using lichens has been implemented. Given the characteristics of lichens as indicators of air pollution it was possible to gather a great amount of data in space, which enabled the development and application of geostatistical methodologies. The advantages of using geostatistical models compared with deterministic models, as environmental control tools, are highlighted. (author)

  2. Stochastic Modeling of Traffic Air Pollution

    DEFF Research Database (Denmark)

    Thoft-Christensen, Palle

    2014-01-01

    In this paper, modeling of traffic air pollution is discussed with special reference to infrastructures. A number of subjects related to health effects of air pollution and the different types of pollutants are briefly presented. A simple model for estimating the social cost of traffic related air...... and using simple Monte Carlo techniques to obtain a stochastic estimate of the costs of traffic air pollution for infrastructures....... pollution is derived. Several authors have published papers on this very complicated subject, but no stochastic modelling procedure have obtained general acceptance. The subject is discussed basis of a deterministic model. However, it is straightforward to modify this model to include uncertain parameters...

  3. Emission scenario model for regional air pollution

    OpenAIRE

    Karvosenoja, Niko

    2008-01-01

    Air pollution emissions are produced in a wide variety of sources. They often result in detrimental impacts on both environments and human populations. To assess the emissions and impacts of air pollution, mathematical models have been developed. This study presents results from the application of an air pollution emission model, the Finnish Regional Emission Scenario (FRES) model, that covers the emissions of sulfur dioxide (SO2), nitrogen oxides (NOx), ammonia (NH3), non-methane volatile or...

  4. Large Scale Computations in Air Pollution Modelling

    DEFF Research Database (Denmark)

    Zlatev, Z.; Brandt, J.; Builtjes, P. J. H.;

    Proceedings of the NATO Advanced Research Workshop on Large Scale Computations in Air Pollution Modelling, Sofia, Bulgaria, 6-10 July 1998......Proceedings of the NATO Advanced Research Workshop on Large Scale Computations in Air Pollution Modelling, Sofia, Bulgaria, 6-10 July 1998...

  5. Applied Modeling of Air Pollution (AMAP)

    International Nuclear Information System (INIS)

    This report summarizes the activities in the first year of the project Applied Modeling of Air Pollution (AMAP). This project which has a duration of three years aims at concentrating and improve the available air quality modeling expertise in the Austrian Research Centre Seibersdorf. The overall project consists of the subprojects Dispersion Modeling, Receptor Modeling and Urban Airshed Modeling. During the first year appropriate models (such as ISCST3, CMB, UAM-IV and CALGRID) were installed and tested with data from real and fictive examples as well as with synthetic data. High emphasis was given to the visualization of the model outputs. (author)

  6. Air Pollution

    Science.gov (United States)

    Air pollution is a mixture of solid particles and gases in the air. Car emissions, chemicals from factories, dust, ... a gas, is a major part of air pollution in cities. When ozone forms air pollution, it's ...

  7. Air Pollution

    Science.gov (United States)

    Air pollution is a mixture of solid particles and gases in the air. Car emissions, chemicals from factories, dust, pollen and ... Ozone, a gas, is a major part of air pollution in cities. When ozone forms air pollution, ...

  8. MODELING OF GENERIC AIR POLLUTION DISPERSION ANALYSIS FROM CEMENT FACTORY

    Directory of Open Access Journals (Sweden)

    Moses E EMETERE

    2013-06-01

    Full Text Available Air pollution from cement factory is classified as one of the sources of air pollution. The control of the air pollution by addressing the wind field dynamics was the main objective of the paper. The dynamics of dispersion showed a three way flow which was calculated and explained accordingly. The 3D model showed good level of accuracy by determining field values of air deposited pollutants. Mean concentration of diffusing pollutants was shown to be directly proportional to the plume angular displacement. The 2D model explained the details of the wind field dynamics and proffers a solution which may be relevant in controlling air pollution from anthropogenic sources.

  9. Numerical time integration for air pollution models

    OpenAIRE

    Verwer, Jan; Hundsdorfer, Willem; Blom, Joke

    1998-01-01

    Due to the large number of chemical species and the three space dimensions, off-the-shelf stiff ODE integrators are not feasible for the numerical time integration of stiff systems of advection-diffusion-reaction equations [ fracpar{c{t + nabla cdot left( vu{u c right) = nabla cdot left( K ,nabla, c right) + R left( c right), c=c(vu{x,t), c in IR^m, vu{x in Omega subset IR^3 ] from the field of air pollution modelling. This has led to the use of special time integration techniques. This paper...

  10. Air pollution model and neural network: an integrated modelling system

    International Nuclear Information System (INIS)

    It is well known that neural networks can work as universal approximators of non-linear functions and they have become a useful tool either where any precise phenomenological model is available or when uncertainty complicates the application of deterministic modelling as, for example, in environmental systems. Usually, N N models are using as regression tool. We have developed an integrated modelling system coupling an air dispersion model with a neural network method both to simulate the influence of important parameters on air pollution models and to minimize the input neural net variables. In our approach, an optimised 3-Layer Perception is used to filter the air pollution concentrations evaluated by means of the non-Gaussian analytical model ADMD. We applied this methodology to the well known Indianapolis urban data set which deals with a release of pollutants from an elevated emission source.

  11. Air pollution modelling on the street canyon

    Czech Academy of Sciences Publication Activity Database

    Bezpalcová, Klára; Jaňour, Zbyněk

    2003-01-01

    Roč. 10, č. 5 (2003), s. 375-386. ISSN 1210-2717 R&D Projects: GA AV ČR KSK3012103; GA MŠk OC 715.10 Institutional research plan: CEZ:AV0Z2076919 Keywords : atmosphere * air pollution * wind tunnel Subject RIV: DG - Athmosphere Sciences, Meteorology

  12. Mixed deterministic statistical modelling of regional ozone air pollution

    KAUST Repository

    Kalenderski, Stoitchko Dimitrov

    2011-03-17

    We develop a physically motivated statistical model for regional ozone air pollution by separating the ground-level pollutant concentration field into three components, namely: transport, local production and large-scale mean trend mostly dominated by emission rates. The model is novel in the field of environmental spatial statistics in that it is a combined deterministic-statistical model, which gives a new perspective to the modelling of air pollution. The model is presented in a Bayesian hierarchical formalism, and explicitly accounts for advection of pollutants, using the advection equation. We apply the model to a specific case of regional ozone pollution-the Lower Fraser valley of British Columbia, Canada. As a predictive tool, we demonstrate that the model vastly outperforms existing, simpler modelling approaches. Our study highlights the importance of simultaneously considering different aspects of an air pollution problem as well as taking into account the physical bases that govern the processes of interest. © 2011 John Wiley & Sons, Ltd..

  13. Validation of a 3-D hemispheric nested air pollution model

    OpenAIRE

    Frohn, L. M.; Christensen, J.H.; Brandt, J; C. Geels; Hansen, K. M.

    2003-01-01

    Several air pollution transport models have been developed at the National Environmental Research Institute in Denmark over the last decade (DREAM, DEHM, ACDEP and DEOM). A new 3-D nested Eulerian transport-chemistry model: REGIonal high resolutioN Air pollution model (REGINA) is based on modules and parameterisations from these models as well as new methods. The model covers the majority of the Northern Hemisphere with currently one nest...

  14. Good manufacturing practice for modelling air pollution: Quality criteria for computer models to calculate air pollution

    Science.gov (United States)

    Dekker, C. M.; Sliggers, C. J.

    To spur on quality assurance for models that calculate air pollution, quality criteria for such models have been formulated. By satisfying these criteria the developers of these models and producers of the software packages in this field can assure and account for the quality of their products. In this way critics and users of such (computer) models can gain a clear understanding of the quality of the model. Quality criteria have been formulated for the development of mathematical models, for their programming—including user-friendliness, and for the after-sales service, which is part of the distribution of such software packages. The criteria have been introduced into national and international frameworks to obtain standardization.

  15. Experimental technique of calibration of symmetrical air pollution models

    Indian Academy of Sciences (India)

    P Kumar

    2005-10-01

    Based on the inherent property of symmetry of air pollution models,a Symmetrical Air Pollution Model Index (SAPMI)has been developed to calibrate the accuracy of predictions made by such models,where the initial quantity of release at the source is not known.For exact prediction the value of SAPMI should be equal to 1.If the predicted values are overestimating then SAPMI is > 1and if it is underestimating then SAPMI is < 1.Specific design for the layout of receptors has been suggested as a requirement for the calibration experiments.SAPMI is applicable for all variations of symmetrical air pollution dispersion models.

  16. Air Pollution

    OpenAIRE

    Lawther, P. J.

    2014-01-01

    The human costs of air pollution are considerable in Jordan. According to a report published in 2000 by the World Bank under the Mediterranean Environmental Technical Assistance Program (METAP), approximately 600 people die prematurely each year in Jordan because of urban pollution. 50-90% of air pollution in Jordanian towns is caused by road traffic. Readings taken in 2007 by Jordanian researchers showed that levels of black carbon particles in the air were higher in urban areas (caused by v...

  17. Solving vertical transport and chemistry in air pollution models

    OpenAIRE

    Berkvens, Patrick; Botchev, M.A.; Verwer, Jan; M. C. Krol; Peters, W.

    2000-01-01

    For the time integration of stiff transport-chemistry problems from air pollution modelling, standard ODE solvers are not feasible due to the large number of species and the 3D nature. The popular alternative, standard operator splitting, introduces artificial transients for short-lived species. This complicates the chemistry solution, easily causing large errors for such species. In the framework of an operational global air pollution model, we focus on the problem formed by chemistry and ve...

  18. An Analytical Air Pollution Model with Time Dependent Eddy Diffusivity

    OpenAIRE

    Tiziano Tirabassi; Marco Túllio Vilhena; Daniela Buske; Gervásio Annes Degrazia

    2013-01-01

    Air pollution transport and dispersion in the atmospheric boundary layer are modeled by the advection-diffusion equation, that is, essentially, a statement of conservation of the suspended material in an incompressible flow. Many models simulating air pollution dispersion are based upon the solution (numerical or analytical) of the advection-diffusion equation assuming turbulence parameterization for realistic physical scenarios. We present the general time dependent three-dimensional soluti...

  19. Solving vertical transport and chemistry in air pollution models

    OpenAIRE

    Berkvens, P.J.F.; Botchev, M.A.; M. C. Krol; Peters, W.; Verwer, J.G.

    2002-01-01

    For the time integration of stiff transport-chemistry problems from air pollution modelling, standard ODE solvers are not feasible due to the large number of species and the 3D nature. The popular alternative, standard operator splitting, introduces artificial transients for short-lived species. This complicates the chemistry solution, easily causing large errors for such species. In the framework of an operational global air pollution model, we focus on the problem formed by chemistry and ve...

  20. Solving Vertical Transport and Chemistry in Air Pollution Models.

    OpenAIRE

    Berkvens, P.J.F.; Botchev, M.A.; Verwer, J.G.; M. C. Krol; Peters, W.

    2000-01-01

    For the time integration of stiff transport-chemistry problems from air pollution modelling, standard ODE solvers are not feasible due to the large number of species and the 3D nature. The popular alternative, standard operator splitting, introduces artificial transients for short-lived species. This complicates the chemistry solution, easily causing large errors for such species. In the framework of an operational global air pollution model, we focus on the problem formed by chemistry and ve...

  1. Air Pollution.

    Science.gov (United States)

    Air quality is affected by many types of pollutants that are emitted from various sources, including stationary and mobile. These sources release both criteria and hazardous air pollutants, which cause health effects, ecological harm, and material damage. They are generally categ...

  2. Air pollution dispersion models as used in Poland in regional development planning

    Energy Technology Data Exchange (ETDEWEB)

    Pruchnicki, J.

    1977-02-01

    This paper discusses air pollution models used in regional development planning in Poland. After outlining the institutional structure and legislature dealing with air pollution control, the paper describes the air quality standards currently in effect. Dispersion models used in predicting air pollution concentrations are then detailed. Finally the application of air pollution modelling to urban design is discussed.

  3. Modeling of air pollution from the power plant ash dumps

    Science.gov (United States)

    Aleksic, Nenad M.; Balać, Nedeljko

    A simple model of air pollution from power plant ash dumps is presented, with emission rates calculated from the Bagnold formula and transport simulated by the ATDL type model. Moisture effects are accounted for by assumption that there is no pollution on rain days. Annual mean daily sedimentation rates, calculated for the area around the 'Nikola Tesla' power plants near Belgrade for 1987, show reasonably good agreement with observations.

  4. Letter to the Editor: Applications Air Q Model on Estimate Health Effects Exposure to Air Pollutants

    OpenAIRE

    , Gholamreza Goudarzi; Sahar Geravandi; Elaheh Jame Porazmey; Mohammad Javad Mohammadi

    2016-01-01

    Epidemiologic studies in worldwide have measured increases in mortality and morbidity associated with air pollution (1-3). Quantifying the effects of air pollution on the human health in urban area causes an increasingly critical component in policy discussion (4-6). Air Q model was proved to be a valid and reliable tool to predicts health effects related to criteria  pollutants (particulate matter (PM), ozone (O3), nitrogen dioxide (NO2), sulfur dioxide (SO2), and carbon monoxide (CO)),...

  5. RELMAP: A REGIONAL LAGRANGIAN MODEL OF AIR POLLUTION - USER'S GUIDE

    Science.gov (United States)

    The regional Lagrangian Model of Air Pollution (RELMAP) is a mass conserving, Lagrangian model that simulates ambient concentrations and wet and dry depositions of SO2, SO4=, and fine and coarse particulate matter over the eastern United States and southeastern Canada (default do...

  6. FUNDAMENTAL MASS TRANSFER MODELS FOR INDOOR AIR POLLUTION SOURCES

    Science.gov (United States)

    The paper discusses a simple, fundamental mass transfer model, based on Fick's Law of Diffusion, for indoor air pollution wet sorbent-based sources. (Note: Models are needed to predict emissions from indoor sources. hile empirical approaches based on dynamic chamber data are usef...

  7. Air pollution

    International Nuclear Information System (INIS)

    Australian cites experience a number of current and emerging air pollution problems. Concentrations of traditional primary pollutants such as CO, lead and dust have fallen in recent years as a consequence of air pollutant control measures, and the widespread introduction of lead-free petrol. However, recommended guidelines for ozone, the principal component of photochemical smog, are regularly exceeded in major capital cities in the summer months. In addition, it is predicted that extensive urban expansion will lead to much greater dependence on the motor vehicle as the primary means of transportation. Effects of air pollution are felt at a variety of scales. Traditionally, concerns about gaseous and particulate emissions from industrial and vehicular sources were focused on local impacts due to exposure to toxic species such as CO and lead. As noted above, concentrations of these pollutants have been reduced by a variety of control measures. Pollutants which have effects at a regional scale, such as photochemically-produced ozone, and acidic gases and particles have proved more difficult to reduce. In general, these pollutants arc not the result of direct emissions to atmosphere, but result from complex secondary processes driven by photochemical reactions of species such as NO2 and aldehydes. In addition, global effects of gaseous and particulate emissions to the atmosphere have received significant recent attention, concentrations of atmospheric CO2 with predicted impacts on global climate, and ozone depletion due to anthropogenic emissions of chlorine-containing chemicals are the two major examples. Combustion processes from petrol- and diesel-fuelled vehicles, make major contributions to air pollution, and the magnitude of this contribution is discussed in this article

  8. Development of a distributed air pollutant dry deposition modeling framework

    International Nuclear Information System (INIS)

    A distributed air pollutant dry deposition modeling system was developed with a geographic information system (GIS) to enhance the functionality of i-Tree Eco (i-Tree, 2011). With the developed system, temperature, leaf area index (LAI) and air pollutant concentration in a spatially distributed form can be estimated, and based on these and other input variables, dry deposition of carbon monoxide (CO), nitrogen dioxide (NO2), sulfur dioxide (SO2), and particulate matter less than 10 microns (PM10) to trees can be spatially quantified. Employing nationally available road network, traffic volume, air pollutant emission/measurement and meteorological data, the developed system provides a framework for the U.S. city managers to identify spatial patterns of urban forest and locate potential areas for future urban forest planting and protection to improve air quality. To exhibit the usability of the framework, a case study was performed for July and August of 2005 in Baltimore, MD. - Highlights: ► A distributed air pollutant dry deposition modeling system was developed. ► The developed system enhances the functionality of i-Tree Eco. ► The developed system employs nationally available input datasets. ► The developed system is transferable to any U.S. city. ► Future planting and protection spots were visually identified in a case study. - Employing nationally available datasets and a GIS, this study will provide urban forest managers in U.S. cities a framework to quantify and visualize urban forest structure and its air pollution removal effect.

  9. Performance of Air Pollution Models on Massively Parallel Computers

    DEFF Research Database (Denmark)

    Brown, John; Hansen, Per Christian; Wasniewski, Jerzy;

    1996-01-01

    To compare the performance and use of three massively parallel SIMD computers, we implemented a large air pollution model on the computers. Using a realistic large-scale model, we gain detailed insight about the performance of the three computers when used to solve large-scale scientific problems...... that involve several types of numerical computations. The computers considered in our study are the Connection Machines CM-200 and CM-5, and the MasPar MP-2216...

  10. Air pollution meteorology

    International Nuclear Information System (INIS)

    This report is intended as a training cum reference document for scientists posted at the Environmental Laboratories at the Nuclear Power Station Sites and other sites of the Department of Atomic Energy with installations emitting air pollutants, radioactive or otherwise. Since a manual already exists for the computation of doses from radioactive air pollutants, a general approach is take here i.e. air pollutants in general are considered. The first chapter presents a brief introduction to the need and scope of air pollution dispersion modelling. The second chapter is a very important chapter discussing the aspects of meteorology relevant to air pollution and dispersion modelling. This chapter is important because without this information one really does not understand the phenomena affecting dispersion, the scope and applicability of various models or their limitations under various weather and site conditions. The third chapter discusses the air pollution models in detail. These models are applicable to distances of a few tens of kilometres. The fourth chapter discusses the various aspects of meteorological measurements relevant to air pollution. The chapters are followed by two appendices. Apendix A discusses the reliability of air pollution estimates. Apendix B gives some practical examples relevant to general air pollution. It is hoped that the document will prove very useful to the users. (author)

  11. Hazardous Air Pollutants

    Science.gov (United States)

    ... Facebook Twitter Google+ Pinterest Contact Us Hazardous Air Pollutants Hazardous air pollutants are those known to cause ... protect against adverse environmental effects. About Hazardous Air Pollutants What are hazardous air pollutants? Health and Environmental ...

  12. Evaluation of air pollution modelling tools as environmental engineering courseware.

    Science.gov (United States)

    Souto González, J A; Bello Bugallo, P M; Casares Long, J J

    2004-01-01

    The study of phenomena related to the dispersion of pollutants usually takes advantage of the use of mathematical models based on the description of the different processes involved. This educational approach is especially important in air pollution dispersion, when the processes follow a non-linear behaviour so it is difficult to understand the relationships between inputs and outputs, and in a 3D context where it becomes hard to analyze alphanumeric results. In this work, three different software tools, as computer solvers for typical air pollution dispersion phenomena, are presented. Each software tool developed to be implemented on PCs, follows approaches that represent three generations of programming languages (Fortran 77, VisualBasic and Java), applied over three different environments: MS-DOS, MS-Windows and the world wide web. The software tools were tested by students of environmental engineering (undergraduate) and chemical engineering (postgraduate), in order to evaluate the ability of these software tools to improve both theoretical and practical knowledge of the air pollution dispersion problem, and the impact of the different environment in the learning process in terms of content, ease of use and visualization of results. PMID:15193095

  13. InMAP: a new model for air pollution interventions

    Science.gov (United States)

    Tessum, C. W.; Hill, J. D.; Marshall, J. D.

    2015-10-01

    Mechanistic air pollution models are essential tools in air quality management. Widespread use of such models is hindered, however, by the extensive expertise or computational resources needed to run most models. Here, we present InMAP (Intervention Model for Air Pollution), which offers an alternative to comprehensive air quality models for estimating the air pollution health impacts of emission reductions and other potential interventions. InMAP estimates annual-average changes in primary and secondary fine particle (PM2.5) concentrations - the air pollution outcome generally causing the largest monetized health damages - attributable to annual changes in precursor emissions. InMAP leverages pre-processed physical and chemical information from the output of a state-of-the-science chemical transport model (WRF-Chem) within an Eulerian modeling framework, to perform simulations that are several orders of magnitude less computationally intensive than comprehensive model simulations. InMAP uses a variable resolution grid that focuses on human exposures by employing higher spatial resolution in urban areas and lower spatial resolution in rural and remote locations and in the upper atmosphere; and by directly calculating steady-state, annual average concentrations. In comparisons run here, InMAP recreates WRF-Chem predictions of changes in total PM2.5 concentrations with population-weighted mean fractional error (MFE) and bias (MFB) < 10 % and population-weighted R2 ~ 0.99. Among individual PM2.5 species, the best predictive performance is for primary PM2.5 (MFE: 16 %; MFB: 13 %) and the worst predictive performance is for particulate nitrate (MFE: 119 %; MFB: 106 %). Potential uses of InMAP include studying exposure, health, and environmental justice impacts of potential shifts in emissions for annual-average PM2.5. Features planned for future model releases include a larger spatial domain, more temporal information, and the ability to predict ground-level ozone (O3

  14. Letter to the Editor: Applications Air Q Model on Estimate Health Effects Exposure to Air Pollutants

    Directory of Open Access Journals (Sweden)

    Gholamreza Goudarzi

    2016-02-01

    Full Text Available Epidemiologic studies in worldwide have measured increases in mortality and morbidity associated with air pollution (1-3. Quantifying the effects of air pollution on the human health in urban area causes an increasingly critical component in policy discussion (4-6. Air Q model was proved to be a valid and reliable tool to predicts health effects related to criteria  pollutants (particulate matter (PM, ozone (O3, nitrogen dioxide (NO2, sulfur dioxide (SO2, and carbon monoxide (CO, determinate  the  potential short term effects of air pollution  and allows the examination of various scenarios in which emission rates of pollutants are varied (7,8. Air Q software provided by the WHO European Centre for Environment and Health (ECEH (9. Air Q model is based on cohort studies and used to estimates of both attributable average reductions in life-span and numbers of mortality and morbidity associated with exposure to air pollution (10,11. Applications

  15. ARAMIS a regional air quality model for air pollution management: evaluation and validation

    International Nuclear Information System (INIS)

    The aim of this research was to better understand the dynamics of air pollutants and to forecast the air quality over regional areas in order to develop emission abatement strategies for air pollution and adverse health effects. To accomplish this objective, we developed and applied a high resolution Eulerian system named ARAMIS (A Regional Air Quality Modelling Integrated System) over the north-east of Spain (Catalonia), where several pollutants exceed threshold values for the protection of human health. The results indicate that the model reproduced reasonably well observed concentrations, as statistical values fell within Environmental Protection Agency (EPA) recommendations and European (EU) regulations. Nevertheless, some hourly O3 exceedances in summer and hourly peaks of NO2 in winter were underestimated. Concerning PM10 concentrations less accurate model levels were obtained with a moderate trend towards underestimation during the day. (Author)

  16. Dry deposition modelling of air pollutants over urban areas

    Science.gov (United States)

    Cherin, N.; Roustan, Y.; Seigneur, C.; Musson Genon, L.

    2012-04-01

    More than one-half of the world's inhabitants lives in urban areas. Consequently, the evolution of pollutants inside these urban areas are problems of great concern in air quality studies. Though the dry deposition fluxes of air pollutants, which are known to be significant in the neighborhood of sources of pollution, like urban areas, have not been modeled precisely until recently within urban areas. By reviewing the physics of the processes leading to the dry deposition of air pollutants, it is clear that atmosphere turbulence is crucial for dry deposition. Urban areas, and particularly buildings, are known to significantly impact flow fields and then by extension the dry deposition fluxes. Numerous urban schemes have been developed in the past decades to approximate the effect of the local scale urban elements on drag, heat flux and radiative budget. The most recent urban canopy models are based on quite simple geometries, but sufficiently close to represent the aerodynamic and thermal characteristics of cities. These canopy models are generally intended to parameterize aerodynamic and thermal fields, but not dry deposition. For dry deposition, the current classical "roughness" approach, uses only two representative parameters, z0 and d, namely the roughness length and the zero-plane displacement height to represent urban areas. In this work, an innovative dry deposition model based on the urban canyon concept, is proposed. It considers a single road, bordered by two facing buildings, which are treated separately. It accounts for sub-grid effects of cities, especially a better parameterization of the turbulence scheme, through the use of local mixing length and a more detailled description of the urban area and key parameters within the urban canopy. Three different flow regimes are distinguished in the urban canyon according to the height-to-width ratio: isolated roughness flow, wake interference flow and skimming flow regime. The magnitude of differences in

  17. Characterization of ambient air pollution for stochastic health models

    Energy Technology Data Exchange (ETDEWEB)

    Batterman, S.A.

    1981-08-01

    This research is an analysis of various measures of ambient air pollution useful in cross-sectional epidemiological investigations and rick assessments. The Chestnut Ridge area health effects investigation, which includes a cross-sectional study of respiratory symptoms in young children, is used as a case study. Four large coal-fired electric generating power plants are the dominant pollution sources in this area of western Pennsylvania. The air pollution data base includes four years of sulfur dioxide and five years of total suspended particulate concentrations at seventeen monitors. Some 70 different characterizations of pollution are constructed and tested. These include pollutant concentrations at various percentiles and averaging times, exceedence measures which show the amount of time a specified threshold concentration is exceeded, and several dosage measures which transform non-linear dose-response relationships onto pollutant concentrations.

  18. Assessing Climate Impacts on Air Pollution from Models and Measurements

    Science.gov (United States)

    Holloway, T.; Plachinski, S. D.; Morton, J. L.; Spak, S.

    2011-12-01

    It is well known that large-scale patterns in temperature, humidity, solar radiation and atmospheric circulation affect formation and transport of atmospheric constituents. These relationships have supported a growing body of work projecting changes in ozone (O3), and to a lesser extent aerosols, as a function of changing climate. Typically, global and regional chemical transport models are used to quantify climate impacts on air pollution, but the ability of these models to assess weather-dependent chemical processes has not been thoroughly evaluated. Quantifying model sensitivity to climate poses the additional challenge of isolating the local to synoptic scale effects of meteorological conditions on chemistry and transport from concurrent trends in emissions, hemispheric background concentrations, and land cover change. Understanding how well models capture historic climate-chemistry relationships is essential in projecting future climate impacts, in that it allows for better evaluation of model skill and improved understanding of climate-chemistry relationships. We compare the sensitivity of chemistry-climate relationships, as simulated by the EPA Community Multiscale Air Quality (CMAQ) model, with observed historical response characteristics from EPA Air Quality System (AQS) monitoring data. We present results for O3, sulfate and nitrate aerosols, and ambient mercury concentrations. Despite the fact that CMAQ over-predicts daily maximum 8-hour ground-level O3 concentrations relative to AQS data, the model does an excellent job at simulating the response of O3 to daily maximum temperature. In both model and observations, we find that higher temperatures produce higher O3 across most of the U.S., as expected in summertime conditions. However, distinct regions appear in both datasets where temperature and O3 are anti-correlated - for example, over the Upper Midwestern U.S. states of Iowa, Missouri, Illinois, and Indiana in July 2002. Characterizing uncertainties

  19. Air Pollution.

    Science.gov (United States)

    Barker, K.; And Others

    Pollution of the general environment, which exposes an entire population group for an indeterminate period of time, certainly constitutes a problem in public health. Serious aid pollution episodes have resulted in increased mortality and a possible relationship between chronic exposure to a polluted atmosphere and certain diseases has been…

  20. Solving vertical transport and chemistry in air pollution models

    International Nuclear Information System (INIS)

    For the time integration of stiff transport-chemistry problems from air pollution modelling, standard ODE solvers are not feasible due to the large number of species and the 3D nature. The popular alternative, standard operator splitting, introduces artificial transients for short-lived species. This complicates the chemistry solution, easily causing large errors for such species. In the framework of an operational global air pollution model, we focus on the problem formed by chemistry and vertical transport, which is based on diffusion, cloud-related vertical winds, and wet deposition. Its specific nature leads to full Jacobian matrices, ruling out standard implicit integration. We compare Strang operator splitting with two alternatives: source splitting and an (unsplit) Rosenbrock method with approximate matrix factorization, all having equal computational cost. The comparison is performed with real data. All methods are applied with half-hour time steps, and give good accuracies. Rosenbrock is the most accurate, and source splitting is more accurate than Strang splitting. Splitting errors concentrate in short-lived species sensitive to solar radiation and species with strong emissions and depositions. 30 refs

  1. Indoor Air Pollution (Environmental Health Student Portal)

    Science.gov (United States)

    ... Students to Environmental Health Information Menu Home Air Pollution Air Pollution Home Indoor Air Pollution Outdoor Air Pollution ... Pollution Indoor Air Pollution Print this Page Air Pollution Air Pollution Home Indoor Air Pollution Outdoor Air Pollution ...

  2. Dispersion model computations of urban air pollution in Espoo, Finland

    Energy Technology Data Exchange (ETDEWEB)

    Valkonen, E.; Haerkoenen, J.; Kukkonen, J.; Rantakrans, E.; Jalkanen, L.

    1997-12-31

    This report presents the numerical results of air quality studies of the city of Espoo in southern Finland. This city is one of the four cities in the Helsinki metropolitan area, having a total population of 850 000. A thorough emission inventory was made of both mobile and stationary sources in the Helsinki metropolitan area. The atmospheric dispersion was evaluated using an urban dispersion modelling system, including a Gaussian multiple-source plume model and a meteorological pre-processing model. The hourly time series of CO, NO{sub 2} and SO{sub 2} concentrations were predicted, using the emissions and meteorological data for the year 1990. The predicted results show a clear decrease in the yearly mean concentrations from southeast to northwest. This is due in part to the denser traffic in the southern parts of Espoo, and in part to pollution from the neighbouring cities of Helsinki and Vantaa, located east of Espoo. The statistical concentration parameters found for Espoo were lower than the old national air quality guidelines (1984); however, some occurrences of above-threshold values were found for NO{sub 2} in terms of the new guidelines (1996). The contribution of traffic to the total concentrations varies spatially from 30 to 90 % for NO{sub 2} from 1 to 65 % for SO{sub 2} while for CO it is nearly 100 %. The concentrations database will be further utilised to analyse the influence of urban air pollution on the health of children attending selected day nurseries in Espoo. The results of this study can also be applied in traffic and city planning. In future work the results will also be compared with data from the urban measurement network of the Helsinki Metropolitan Area Council. (orig.) 19 refs.

  3. Indoor air pollution

    International Nuclear Information System (INIS)

    Indoor air pollution is a potential risk to human health. Prolonged exposure to indoor pollutants may cause various infectious, allergic and other diseases. Indoor pollutants can emanate from a broad array of internal and external sources. Internal sources include building and furnishing materials, consumer and commercial products, office equipment, micro-organisms, pesticides and human occupants activities. External sources include soil, water supplies and outside makeup air. The main indoor air pollutants of concern are inorganic gases, formaldehyde and other volatile organic compounds, pesticides, radon and its daughters, particulates and microbes. The magnitude of human exposure to indoor pollutants can be estimated or predicted with the help of mathematical models which have been developed using the data from source emission testing and field monitoring of pollutants. In order to minimize human exposure to indoor pollutants, many countries have formulated guidelines / standards for the maximum permissible levels of main pollutants. Acceptable indoor air quality can be achieved by controlling indoor pollution sources and by effective ventilation system for removal of indoor pollutants. (author)

  4. Evaluation of Observation-Fused Regional Air Quality Model Results for Population Air Pollution Exposure Estimation

    OpenAIRE

    Chen, Gang; Li, Jingyi; Ying, Qi; Sherman, Seth; Perkins, Neil; Rajeshwari, Sundaram; Mendola, Pauline

    2014-01-01

    In this study, Community Multiscale Air Quality (CMAQ) model was applied to predict ambient gaseous and particulate concentrations during 2001 to 2010 in 15 hospital referral regions (HRRs) using a 36-km horizontal resolution domain. An inverse distance weighting based method was applied to produce exposure estimates based on observation-fused regional pollutant concentration fields using the differences between observations and predictions at grid cells where air quality monitors were locate...

  5. Modeling and Simulation of Air Pollutant Dispartion a Case Study of an Industrial Area in Nigeria

    OpenAIRE

    AbdulFatai JIMOH; Mohammed ALHASSAN

    2006-01-01

    This work was carried out to develop a model equation for predicting air pollutant dispersion. Major air pollutant were identified, their source, how they cause air pollution, effects and control measures were analysed. Chemiluminecent analyser, non dispersive infrared analyzer (NDN), flame ionization detector, charcoal column absorber, and titration techniques were used for the analysis. Great emphasis was laid on the pollutants resulting from united African textile in Lagos State. A predic...

  6. On the coupled solution of diffusion and chemistry in air pollution models

    OpenAIRE

    Verwer, Jan; Blom, Joke

    1995-01-01

    A numerical comparison is presented between different techniques considered for the coupled, implicit solution of vertical turbulent diffusion and nonlinear chemical transformations in air pollution models.

  7. A comparison of self reported air pollution problems and GIS-modeled levels of air pollution in people with and without chronic diseases

    OpenAIRE

    Nafstad Per; Næss Øyvind; Madsen Christian; Piro Fredrik; Claussen Bjørgulf

    2008-01-01

    Objective To explore various contributors to people's reporting of self reported air pollution problems in area of living, including GIS-modeled air pollution, and to investigate whether those with respiratory or other chronic diseases tend to over-report air pollution problems, compared to healthy people. Methods Cross-sectional data from the Oslo Health Study (2000–2001) were linked with GIS-modeled...

  8. Indoor Air Pollution

    Science.gov (United States)

    We usually think of air pollution as being outdoors, but the air in your house or office could also be polluted. Sources of indoor pollution include Mold and pollen Tobacco smoke Household products ...

  9. Analysis of Air Pollution Impact Factors in China: A MIMIC Modeling Approach

    OpenAIRE

    Jing Gao; Lei Zhang

    2015-01-01

    In this study, we investigate the impact factors on air pollution in terms of CO2, SO2 and NOx emissions simultaneously in China and compare changes in air pollution across provinces from 1998 to 2011 using a Multiple Indicators and Multiple Causes Model (MIMIC) within a Structural Equation Model (SEM) framework. Our findings reveal that GDP per capita and total population have the largest impacts on air pollution, followed by energy intensity, foreign direct investment, population density, a...

  10. Modelling air pollution abatement in deep street canyons by means of air scrubbers

    OpenAIRE

    De Giovanni, Marina; Curci, Gabriele; Avveduto, Alessandro; Pace, Lorenzo; Salisburgo, Cesare Dari; Giammaria, Franco; Monaco, Alessio; SPANTO, Giuseppe; Tripodi, Paolo

    2015-01-01

    Deep street canyons are characterized by weak ventilation and recirculation of air. In such environment, the exposure to particulate matter and other air pollutants is enhanced, with a consequent worsening of both safety and health. The main solution adopted by the international community is aimed at the reduction of the emissions. In this theoretical study, we test a new solution: the removal of air pollutants close to their sources by a network of Air Pollution Abatement (APA) devices. The ...

  11. Air Pollution

    Science.gov (United States)

    ... to a close in June 2013 when the company, Conscious Clothing, was awarded the My Air grand ... Page Options: Request Translation Services Facebook Twitter LinkedIn Google+ Reddit Email Evernote More Increase Font Size Decrease ...

  12. Air pollutants and energy pathways; Extending models for abatement strategies

    International Nuclear Information System (INIS)

    This study presents the development and applications of regional and local scale models for use in integrated assessment of air pollution effects in conjunction with large-scale models. A regional deposition model called DAIQUIRI (Deposition, AIr QUality and Integrated Regional Information) for integrated assessment purposes in Finland was constructed, and regional matrices for nitrogen oxides and ammonia were developed from the results of the regional air quality model of the FMI. DAIQUIRI produced similar estimates of deposition from Finnish sources as the original model, and long-term trends and the average level of deposition estimated with DAIQUIRI were found comparable with the monitored deposition levels and trends. For the mid-nineties situation, the regional nitrogen modeling resulted in 9 % to 19 % (depending on the region compared) larger estimates of areas with acidity critical load exceedances than when using European scale nitrogen deposition modeling. In this work, also a method for estimating the impacts of local NOx emissions on urban and sub-urban ozone levels was developed and tested. The study concentrated on representing the destruction of ozone by fresh NO emissions in urban areas for future use in integrated assessment modeling of ozone control strategies. Correlation coefficients between measured daytime ozone values in the study area were found to improve from 0.64 (correlation between urban and surrounding rural measurements) to 0.85, on the average. The average correlation between daytime large-scale model estimates and urban site measurements was found to improve from 0.37 to 0.58. In the study, also integrated assessment model applications were carried out at European, national and local levels. The synergies between control strategies for CO2 and acidification and ozone formation in the case of the UN/FCCC Kyoto protocol and the air quality targets of the EU were assessed with the help of coupled models. With two alternative energy

  13. Modeling and Simulation of Air Pollutant Dispartion a Case Study of an Industrial Area in Nigeria

    Directory of Open Access Journals (Sweden)

    AbdulFatai JIMOH

    2006-07-01

    Full Text Available This work was carried out to develop a model equation for predicting air pollutant dispersion. Major air pollutant were identified, their source, how they cause air pollution, effects and control measures were analysed. Chemiluminecent analyser, non dispersive infrared analyzer (NDN, flame ionization detector, charcoal column absorber, and titration techniques were used for the analysis. Great emphasis was laid on the pollutants resulting from united African textile in Lagos State. A predictive model for air pollutant dispersion was developed and simulated using data collected from the industry for the year 2001, 2002 and 2003. Both the model and simulated result shows that pollutants such as NO, CO, and CO2 are dispersed in accordance with the law of the dispersion (which state that there is a trend in the reduction of pollutant concentration with increasing distance, The quantities of air pollutants emitted from the industries were compared with that of FEPA regulated emission limit for each pollutant and it was discover that UNTL Lagos at a certain point in time exceeded the regulated limits. Hence the model could be used in predicting air pollutant dispersion in air pollution control and the safe distance for human habitation from the industrial area.

  14. Economic damages of ozone air pollution to crops using combined air quality and GIS modelling

    Science.gov (United States)

    Vlachokostas, Ch.; Nastis, S. A.; Achillas, Ch.; Kalogeropoulos, K.; Karmiris, I.; Moussiopoulos, N.; Chourdakis, E.; Banias, G.; Limperi, N.

    2010-09-01

    This study aims at presenting a combined air quality and GIS modelling methodological approach in order to estimate crop damages from photochemical air pollution, depict their spatial resolution and assess the order of magnitude regarding the corresponding economic damages. The analysis is conducted within the Greater Thessaloniki Area, Greece, a Mediterranean territory which is characterised by high levels of photochemical air pollution and considerable agricultural activity. Ozone concentration fields for 2002 and for specific emission reduction scenarios for the year 2010 were estimated with the Ozone Fine Structure model in the area under consideration. Total economic damage to crops turns out to be significant and estimated to be approximately 43 M€ for the reference year. Production of cotton presents the highest economic loss, which is over 16 M€, followed by table tomato (9 M€), rice (4.2 M€), wheat (4 M€) and oilseed rape (2.8 M€) cultivations. Losses are not spread uniformly among farmers and the major losses occur in areas with valuable ozone-sensitive crops. The results are very useful for highlighting the magnitude of the total economic impacts of photochemical air pollution to the area's agricultural sector and can potentially be used for comparison with studies worldwide. Furthermore, spatial analysis of the economic damage could be of importance for governmental authorities and decision makers since it provides an indicative insight, especially if the economic instruments such as financial incentives or state subsidies to farmers are considered.

  15. Geospatial Modeling of Asthma Population in Relation to Air Pollution

    Science.gov (United States)

    Kethireddy, Swatantra R.; Tchounwou, Paul B.; Young, John H.; Luvall, Jeffrey C.; Alhamdan, Mohammad

    2013-01-01

    Current observations indicate that asthma is growing every year in the United States, specific reasons for this are not well understood. This study stems from an ongoing research effort to investigate the spatio-temporal behavior of asthma and its relatedness to air pollution. The association between environmental variables such as air quality and asthma related health issues over Mississippi State are investigated using Geographic Information Systems (GIS) tools and applications. Health data concerning asthma obtained from Mississippi State Department of Health (MSDH) for 9-year period of 2003-2011, and data of air pollutant concentrations (PM2.5) collected from USEPA web resources, and are analyzed geospatially to establish the impacts of air quality on human health specifically related to asthma. Disease mapping using geospatial techniques provides valuable insights into the spatial nature, variability, and association of asthma to air pollution. Asthma patient hospitalization data of Mississippi has been analyzed and mapped using quantitative Choropleth techniques in ArcGIS. Patients have been geocoded to their respective zip codes. Potential air pollutant sources of Interstate highways, Industries, and other land use data have been integrated in common geospatial platform to understand their adverse contribution on human health. Existing hospitals and emergency clinics are being injected into analysis to further understand their proximity and easy access to patient locations. At the current level of analysis and understanding, spatial distribution of Asthma is observed in the populations of Zip code regions in gulf coast, along the interstates of south, and in counties of Northeast Mississippi. It is also found that asthma is prevalent in most of the urban population. This GIS based project would be useful to make health risk assessment and provide information support to the administrators and decision makers for establishing satellite clinics in future.

  16. A modeling analysis of a heavy air pollution episode occurred in Beijing

    OpenAIRE

    An, X.; Zhu, T.; Wang, Z.; C. Li; Wang, Y.

    2006-01-01

    The concentrations of fine particulate matter (PM) and ozone in Beijing often exceed healthful levels in recent years, therefore China is to taking steps to improve Beijing's air quality for the 2008 Olympic Games. In this paper, the Models-3 Community Multiscale Air Quality (CMAQ) Modeling System was used to investigate a heavy air pollution episode in Beijing during 3–7 April 2005 to obtain the basic information of how heavy air pollution formed and the contributions of local...

  17. Review of Air Exchange Rate Models for Air Pollution Exposure Assessments

    Science.gov (United States)

    A critical aspect of air pollution exposure assessments is estimation of the air exchange rate (AER) for various buildings, where people spend their time. The AER, which is rate the exchange of indoor air with outdoor air, is an important determinant for entry of outdoor air pol...

  18. A review on air pollution and various dust models for open cast mines in India

    International Nuclear Information System (INIS)

    Open cast coal mining continues to create significant environmental problems in India. In particular, this type of mining creates high rates of air pollution SPM, RPM, SO2 and NOx. In these particulate matter i.e. SPM and RPM is major pollution in the open cast mines. It creates several heath hazards to mine workers and surrounding peoples and high environmental deterioration occurs. Several studies are carried out in the field of air pollution and air quality modeling of open cast projects and many researchers suggested several control measures for the air pollution control in mines. Different dust models FDM, ISC3 are available for prediction and transport of the pollutants. In this paper a review has been studied about air pollution in the open cast mines and dust dispersion models for open cast mines in India. (author)

  19. A Geographic Approach to Modelling Human Exposure to Traffic Air Pollution using GIS

    OpenAIRE

    Solvang Jensen, Steen

    1999-01-01

    A new human exposure model has been developed that combines data on traffic air pollution and population data on a high spatial (postal address) and temporal (one hour) resolution. The model system is using a Geographic Information System in combination with available digital maps (buildings, streets, address points, property limits) and administrative databases on people, traffic and buildings. The air pollution is calculated with the Danish Operational Street Pollution Model ...

  20. Quality criteria for air pollution models, standardisation and model development in the Netherlands

    International Nuclear Information System (INIS)

    Based on standards of EPA and IEEE, quality criteria have been formulated which address the development of air pollution models, the transformation towards user-friendly software and ''after-sales'' service. A Dutch standard on the description of air pollution models is being finalized. The standard formulates minimal requirements on the theoretical and practical description of models. This paper provides a survey of the quality criteria and it summarizes the standard. Further, the current practice of model development at RIVM is discussed. (au) (24 refs.)

  1. Semi-Lagrangian methods in air pollution models

    Directory of Open Access Journals (Sweden)

    A. B. Hansen

    2011-06-01

    Full Text Available Various semi-Lagrangian methods are tested with respect to advection in air pollution modeling. The aim is to find a method fulfilling as many of the desirable properties by Rasch andWilliamson (1990 and Machenhauer et al. (2008 as possible. The focus in this study is on accuracy and local mass conservation.

    The methods tested are, first, classical semi-Lagrangian cubic interpolation, see e.g. Durran (1999, second, semi-Lagrangian cubic cascade interpolation, by Nair et al. (2002, third, semi-Lagrangian cubic interpolation with the modified interpolation weights, Locally Mass Conserving Semi-Lagrangian (LMCSL, by Kaas (2008, and last, semi-Lagrangian cubic interpolation with a locally mass conserving monotonic filter by Kaas and Nielsen (2010.

    Semi-Lagrangian (SL interpolation is a classical method for atmospheric modeling, cascade interpolation is more efficient computationally, modified interpolation weights assure mass conservation and the locally mass conserving monotonic filter imposes monotonicity.

    All schemes are tested with advection alone or with advection and chemistry together under both typical rural and urban conditions using different temporal and spatial resolution. The methods are compared with a current state-of-the-art scheme, Accurate Space Derivatives (ASD, see Frohn et al. (2002, presently used at the National Environmental Research Institute (NERI in Denmark. To enable a consistent comparison only non-divergent flow configurations are tested.

    The test cases are based either on the traditional slotted cylinder or the rotating cone, where the schemes' ability to model both steep gradients and slopes are challenged.

    The tests showed that the locally mass conserving monotonic filter improved the results significantly for some of the test cases, however, not for all. It was found that the semi-Lagrangian schemes, in almost every case, were not able to outperform the current ASD scheme

  2. Modelling air pollution abatement in deep street canyons by means of air scrubbers

    CERN Document Server

    De Giovanni, Marina; Avveduto, Alessandro; Pace, Lorenzo; Salisburgo, Cesare Dari; Giammaria, Franco; Monaco, Alessio; Spanto, Giuseppe; Tripodi, Paolo

    2015-01-01

    Deep street canyons are characterized by weak ventilation and recirculation of air. In such environment, the exposure to particulate matter and other air pollutants is enhanced, with a consequent worsening of both safety and health. The main solution adopted by the international community is aimed at the reduction of the emissions. In this theoretical study, we test a new solution: the removal of air pollutants close to their sources by a network of Air Pollution Abatement (APA) devices. The APA technology depletes gaseous and particulate air pollutants by a portable and low-consuming scrubbing system, that mimics the processes of wet and dry deposition. We estimate the potential pollutant abatement efficacy of a single absorber by Computational Fluid Dynamics (CFD) method. The presence of the scrubber effectively creates an additional sink at the bottom of the canyon, accelerating its cleaning process by up to 70%, when an almost perfect scrubber (90% efficiency) is simulated. The efficacy of absorber is not...

  3. Air Pollution Training Programs.

    Science.gov (United States)

    Public Health Service (DHEW), Rockville, MD.

    This catalog lists the universities, both supported and not supported by the Division of Air Pollution, which offer graduate programs in the field of air pollution. The catalog briefly describes the programs and their entrance requirements, the requirements, qualifications and terms of special fellowships offered by the Division of Air Pollution.…

  4. Indoor Air Pollution

    Science.gov (United States)

    We usually think of air pollution as being outdoors, but the air in your house or office could also be polluted. Sources of indoor pollution ... is known as sick building syndrome. Usually indoor air quality problems only cause discomfort. Most people feel ...

  5. A spatial multicriteria model for determining air pollution at sample locations.

    Science.gov (United States)

    Réquia Júnior, Weeberb João; Roig, Henrique Llacer; Koutrakis, Petros

    2015-02-01

    Atmospheric pollution in urban centers has been one of the main causes of human illness related to the respiratory and circulatory system. Efficient monitoring of air quality is a source of information for environmental management and public health. This study investigates the spatial patterns of atmospheric pollution using a spatial multicriteria model that helps target locations for air pollution monitoring sites. The main objective was to identify high-priority areas for measuring human exposures to air pollutants as they relate to emission sources. The method proved to be viable and flexible in its application to various areas. PMID:25947058

  6. Revealing transboundary and local air pollutant sources affecting Metro Manila through receptor modeling studies

    International Nuclear Information System (INIS)

    Ambient fine particulate matter (PM2.5) levels at the Metro Manila air sampling stations of the Philippine Nuclear Research Research Institute were found to be above the WHO guideline value of 10 μg m3 indicating, in general, very poor air quality in the area. The elemental components of the fine particulate matter were obtained using the energy-dispersive x-ray fluorescence spectrometry. Positive matrix factorization, a receptor modelling tool, was used to identify and apportion air pollution sources. Location of probable transboundary air pollutants were evaluated using HYSPLIT (Hybrid Single Particle Lagrangian Integrated Trajectory Model) while location of probable local air pollutant sources were determined using the conditional probability function (CPF). Air pollutant sources can either be natural or anthropogenic. This study has shown natural air pollutant sources such as volcanic eruptions from Bulusan volcano in 2006 and from Anatahan volcano in 2005 to have impacted on the region. Fine soils was shown to have originated from China's Mu US Desert some time in 2004. Smoke in the fine fraction in 2006 show indications of coming from forest fires in Sumatra and Borneo. Fine particulate Pb in Valenzuela was shown to be coming from the surrounding area. Many more significant air pollution impacts can be evaluated with the identification of probable air pollutant sources with the use of elemental fingerprints and locating these sources with the use of HYSPLIT and CPF. (author)

  7. ADVECTION-DIFFUSION NUMERICAL MODEL OF AN AIR POLLUTANT EMITTED FROM AN AREA SOURCE OF PRIMARY POLLUTANT WITH WET DEPOSITION

    Directory of Open Access Journals (Sweden)

    C M SURESHA

    2012-01-01

    Full Text Available A two dimensional advection-diffusion numerical model of air pollutant emitted from an area source of primary pollutant with wet deposition is presented. We study the effect of removal mechanism i.e. wet deposition on primary pollutant with respect to distance and height for stable and neutral cases. The numerical model has been solved by using Crank-Nicolson implicit finite difference technique. Concentration contours are plotted and results are analysed for primary pollutant in stable and neutral atmospheric situations for various meteorological parameters.

  8. Client Server Model Based DAQ System for Real-Time Air Pollution Monitoring

    Directory of Open Access Journals (Sweden)

    Vetrivel. P

    2014-01-01

    Full Text Available The proposed system consists of client server model based Data-Acquisition Unit. The Embedded Web Server integrates Pollution Server and DAQ that collects air Pollutants levels (CO, NO2, and SO2. The Pollution Server is designed by considering modern resource constrained embedded systems. In contrast, an application server is designed to the efficient execution of programs and scripts for supporting the construction of various applications. While a pollution server mainly deals with sending HTML for display in a web browser on the client terminal, an application server provides access to server side logic for pollutants levels to be use by client application programs. The Embedded Web Server is an arm mcb2300 board with internet connectivity and acts as air pollution server as this standalone device gathers air pollutants levels and as a Server. Embedded Web server is accessed by various clients.

  9. Mapping real-time air pollution health risk for environmental management: Combining mobile and stationary air pollution monitoring with neural network models.

    Science.gov (United States)

    Adams, Matthew D; Kanaroglou, Pavlos S

    2016-03-01

    Air pollution poses health concerns at the global scale. The challenge of managing air pollution is significant because of the many air pollutants, insufficient funds for monitoring and abatement programs, and political and social challenges in defining policy to limit emissions. Some governments provide citizens with air pollution health risk information to allow them to limit their exposure. However, many regions still have insufficient air pollution monitoring networks to provide real-time mapping. Where available, these risk mapping systems either provide absolute concentration data or the concentrations are used to derive an Air Quality Index, which provides the air pollution risk for a mix of air pollutants with a single value. When risk information is presented as a single value for an entire region it does not inform on the spatial variation within the region. Without an understanding of the local variation residents can only make a partially informed decision when choosing daily activities. The single value is typically provided because of a limited number of active monitoring units in the area. In our work, we overcome this issue by leveraging mobile air pollution monitoring techniques, meteorological information and land use information to map real-time air pollution health risks. We propose an approach that can provide improved health risk information to the public by applying neural network models within a framework that is inspired by land use regression. Mobile air pollution monitoring campaigns were conducted across Hamilton from 2005 to 2013. These mobile air pollution data were modelled with a number of predictor variables that included information on the surrounding land use characteristics, the meteorological conditions, air pollution concentrations from fixed location monitors, and traffic information during the time of collection. Fine particulate matter and nitrogen dioxide were both modelled. During the model fitting process we reserved

  10. Air pollution and society

    OpenAIRE

    Brimblecombe P.

    2010-01-01

    Air pollution is as much a product of our society as it is one of chemistry and meteorology. Social variables such as gender, age, health status and poverty are often linked with our exposure to air pollutants. Pollution can also affect our behaviour, while regulations to improve the environment can often challenge of freedom.

  11. Air Pollution, Teachers' Edition.

    Science.gov (United States)

    Lavaroni, Charles W.; O'Donnell, Patrick A.

    One of three in a series about pollution, this teacher's guide for a unit on air pollution is designed for use in junior high school grades. It offers suggestions for extending the information and activities contained in the textual material for students. Chapter 1 discusses the problem of air pollution and involves students in processes of…

  12. Evaluation of observation-fused regional air quality model results for population air pollution exposure estimation.

    Science.gov (United States)

    Chen, Gang; Li, Jingyi; Ying, Qi; Sherman, Seth; Perkins, Neil; Rajeshwari, Sundaram; Mendola, Pauline

    2014-07-01

    In this study, Community Multiscale Air Quality (CMAQ) model was applied to predict ambient gaseous and particulate concentrations during 2001 to 2010 in 15 hospital referral regions (HRRs) using a 36-km horizontal resolution domain. An inverse distance weighting based method was applied to produce exposure estimates based on observation-fused regional pollutant concentration fields using the differences between observations and predictions at grid cells where air quality monitors were located. Although the raw CMAQ model is capable of producing satisfying results for O3 and PM2.5 based on EPA guidelines, using the observation data fusing technique to correct CMAQ predictions leads to significant improvement of model performance for all gaseous and particulate pollutants. Regional average concentrations were calculated using five different methods: 1) inverse distance weighting of observation data alone, 2) raw CMAQ results, 3) observation-fused CMAQ results, 4) population-averaged raw CMAQ results and 5) population-averaged fused CMAQ results. It shows that while O3 (as well as NOx) monitoring networks in the HRRs are dense enough to provide consistent regional average exposure estimation based on monitoring data alone, PM2.5 observation sites (as well as monitors for CO, SO2, PM10 and PM2.5 components) are usually sparse and the difference between the average concentrations estimated by the inverse distance interpolated observations, raw CMAQ and fused CMAQ results can be significantly different. Population-weighted average should be used to account for spatial variation in pollutant concentration and population density. Using raw CMAQ results or observations alone might lead to significant biases in health outcome analyses. PMID:24747248

  13. Population Dynamics and Air Pollution

    DEFF Research Database (Denmark)

    Flachs, Esben Meulengracht; Sørensen, Jan; Bønløkke, Jacob;

    2013-01-01

    Objective. To explore how three different assumptions on demographics affect the health impact of Danish emitted air pollution in Denmark from 2005 to 2030, with health impact modeled from 2005 to 2050. Methods. Modeled air pollution from Danish sources was used as exposure in a newly developed......) a static year 2005 population, (2) morbidity and mortality fixed at the year 2005 level, or (3) an expected development. Results. The health impact of air pollution was estimated at 672,000, 290,000, and 280,000 lost life years depending on demographic assumptions and the corresponding social costs at 430.......4 M€, 317.5 M€, and 261.6 M€ through the modeled years 2005–2050. Conclusion. The modeled health impact of air pollution differed widely with the demographic assumptions, and thus demographics and assumptions on demographics played a key role in making health impact assessments on air pollution....

  14. High-resolution modelling of health impacts and related external cost from air pollution using the integrated model system EVA

    DEFF Research Database (Denmark)

    Brandt, Jørgen; Andersen, Mikael Skou; Bønløkke, Jakob; Christensen, Jesper Heile; Hansen, Kaj Mantzius; Hertel, Ole; Im, Ulas; Jensen, Steen Solvang; Ketzel, Matthias; Nielsen, Ole-Kenneth; Plejdrup, Marlene Schmidt; Sigsgaard, Torben; Geels, Camilla

    2015-01-01

    Proceedings from ITM 2015, 34th International Technical Meeting on Air Pollution Modelling and its Application. 4-8 May, 2015, Montpellier, France. 4 pp......Proceedings from ITM 2015, 34th International Technical Meeting on Air Pollution Modelling and its Application. 4-8 May, 2015, Montpellier, France. 4 pp...

  15. Estimation of Biomass Burning Influence on Air Pollution around Beijing from an Aerosol Retrieval Model

    OpenAIRE

    Sonoyo Mukai; Masayoshi Yasumoto; Makiko Nakata

    2014-01-01

    We investigate heavy haze episodes (with dense concentrations of atmospheric aerosols) occurring around Beijing in June, when serious air pollution was detected by both satellite and ground measurements. Aerosol retrieval is achieved by radiative transfer simulation in an Earth atmosphere model. We solve the radiative transfer problem in the case of haze episodes by successive order of scattering. We conclude that air pollution around Beijing in June is mainly due to increased emissions of an...

  16. Arima and integrated arfima models for forecasting air pollution index in Shah Alam, Selangor

    International Nuclear Information System (INIS)

    Air pollution is one of the major issues that has been affecting human health, agricultural crops, forest species and ecosystems. Since 1980, Malaysia has had a series of haze episodes and the worst ever was reported in 1997. As a result, the government has established the Malaysia Air Quality Guidelines, the Air Pollution Index (API) and Haze Action Plan, to improve the air quality. The API was introduced as an index system for classifying and reporting the ambient air quality in Malaysia. The API for a given period is calculated based on the sub-index value (sub-API) for all the five air pollutants, namely sulphur dioxide (SO2), nitrogen dioxide (NO2), ozone (O3), carbon monoxide (CO) and particulate matter below 10 micron size (PM10). The forecast of air pollution can be used for air pollution assessment and management. It can serve as information and warning to the public in cases of high air pollution levels and for policy management of many different chemical compounds. Hence, the objective of this project is to fit and illustrate the use of time series models in forecasting the API in Shah Alam, Selangor. The data used in this study consists of 70 monthly observations of API (from March 1998 to December 2003) published in the Annual Reports of the Department of Environment, Selangor. The time series models that were being considered were the Integrated Autoregressive Moving Average (ARIMA) and the Integrated Long Memory Model (ARFIMA) models. The lowest MAE, RMSE and MAPE values were used as the model selection criteria. Between these two models considered, the integrated ARFIMA model appears to be the better model as it has the lowest MAPE value. However, the actual value of May 2003 falls outside the 95% forecast interval, probably due to emissions from mobile sources (i.e., motor vehicles), industrial emissions, burning of solid wastes and forest fires. (author)

  17. Study on Model of Indoor Air Pollution Forecast for Decoration Under Natural Ventilation Condition

    Institute of Scientific and Technical Information of China (English)

    YAN-FENG HONG; XUN CHEN; NING XU

    2005-01-01

    Objective To establish the model of indoor air pollution forecast for decoration. Methods The model was based on the balance model for diffusing mass. Results The data between testing concentration and estimating concentration were compared. The maximal error was less than 30% and average error was 14.6%. Conclusion The model can easily predict whether the pollution for decoration exceeds the standard and how long the room is decorated.

  18. A dispersion modelling system for urban air pollution

    Energy Technology Data Exchange (ETDEWEB)

    Karppinen, A.; Kukkonen, J.; Nordlund, G.; Rantakrans, E.; Valkama, I.

    1998-10-01

    An Urban Dispersion Modelling system UDM-FMI, developed at the Finnish Meteorological Institute is described in the report. The modelling system includes a multiple source Gaussian plume model and a meteorological pre-processing model. The dispersion model is an integrated urban scale model, taking into account of all source categories (point, line, area and volume sources). It includes a treatment of chemical transformation (for NO{sub 2}) wet and dry deposition (for SO{sub 2}) plume rise, downwash phenomena and dispersion of inert particles. The model allows also for the influence of a finite mixing height. The model structure is mainly based on the state-of-the-art methodology. The system also computes statistical parameters from the time series, which can be compared to air quality guidelines. The relevant meteorological parameters for the dispersion model are evaluated using data produced by a meteorological pre-processor. The model is based mainly on the energy budget method. Results of national investigations have been used for evaluating climate-dependent parameters. The model utilises the synoptic meteorological observations, radiation records and aerological sounding observations. The model results include the hourly time series of the relevant atmospheric turbulence 51 refs.

  19. Characterization of background air pollution exposure in urban environments using a metric based on Hidden Markov Models

    Science.gov (United States)

    Gómez-Losada, Álvaro; Pires, José Carlos M.; Pino-Mejías, Rafael

    2016-02-01

    Urban area air pollution results from local air pollutants (from different sources) and horizontal transport (background pollution). Understanding urban air pollution background (lowest) concentration profiles is key in population exposure assessment and epidemiological studies. To this end, air pollution registered at background monitoring sites is studied, but background pollution levels are given as the average of the air pollutant concentrations measured at these sites over long periods of time. This short communication shows how a metric based on Hidden Markov Models (HMMs) can characterise the air pollutant background concentration profiles. HMMs were applied to daily average concentrations of CO, NO2, PM10 and SO2 at thirteen urban monitoring sites from three cities from 2010 to 2013. Using the proposed metric, the mean values of background and ambient air pollution registered at these sites for these primary pollutants were estimated and the ratio of ambient to background air pollution and the difference between them were studied. The ratio indicator for the studied air pollutants during the four-year study sets the background air pollution at 48%-69% of the ambient air pollution, while the difference between these values ranges from 101 to 193 μg/m3, 7-12 μg/m3, 11-13 μg/m3 and 2-3 μg/m3 for CO, NO2, PM10 and SO2, respectively.

  20. Air Pollution and Industry.

    Science.gov (United States)

    Ross, R. D., Ed.

    This book is an authoritative reference and practical guide designed to help the plant engineer identify and solve industrial air pollution problems in order to be able to meet current air pollution regulations. Prepared under the editorial supervision of an experienced chemical engineer, with each chapter contributed by an expert in his field,…

  1. Modeling for pollution dispersion and air quality 4.: the Gaussian model

    International Nuclear Information System (INIS)

    The Gaussian Model is the simulation model for atmospheric pollutant dispersion most used in practice, in particular for engineering applications; it has been the first model used in the United States to predict the impact of pollutant sources on air quality and for many years it has constituted the projecting instrument in environmental and territory planning; today it is still a very useful instrument, above all when the meteorological input data are not so abundant. In recent year, great efforts have been made to extend the original Gaussian model to different typologies of sources and to make it able to treat more detailed effects, as, for example, a complex terrain, the dry deposition, the gravity effect on heavy particulate matter and other microscale effects. In this work, the main characteristics of the Gaussian model and the equations which govern its description of the dispersion of air pollutants are discussed; moreover, the main used codices which implement Gaussian models which can be easily found in commerce or, sometimes, in the net, are briefly described

  2. Health Effects of Air Pollution

    Science.gov (United States)

    ... air pollution How to protect yourself from air pollution Chemicals Noise Quizzes Links to more information girlshealth glossary girlshealth.gov home http://www.girlshealth.gov/ Home The environment and your health Air Health effects of air pollution ... Health effects of air pollution Breathing air that ...

  3. Modelling of Carbon Monoxide Air Pollution in Larg Cities by Evaluetion of Spectral LANDSAT8 Images

    Science.gov (United States)

    Hamzelo, M.; Gharagozlou, A.; Sadeghian, S.; Baikpour, S. H.; Rajabi, A.

    2015-12-01

    Air pollution in large cities is one of the major problems that resolve and reduce it need multiple applications and environmental management. Of The main sources of this pollution is industrial activities, urban and transport that enter large amounts of contaminants into the air and reduces its quality. With Variety of pollutants and high volume manufacturing, local distribution of manufacturing centers, Testing and measuring emissions is difficult. Substances such as carbon monoxide, sulfur dioxide, and unburned hydrocarbons and lead compounds are substances that cause air pollution and carbon monoxide is most important. Today, data exchange systems, processing, analysis and modeling is of important pillars of management system and air quality control. In this study, using the spectral signature of carbon monoxide gas as the most efficient gas pollution LANDSAT8 images in order that have better spatial resolution than appropriate spectral bands and weather meters،SAM classification algorithm and Geographic Information System (GIS ), spatial distribution of carbon monoxide gas in Tehran over a period of one year from the beginning of 2014 until the beginning of 2015 at 11 map have modeled and then to the model valuation ،created maps were compared with the map provided by the Tehran quality comparison air company. Compare involved plans did with the error matrix and results in 4 types of care; overall, producer, user and kappa coefficient was investigated. Results of average accuracy were about than 80%, which indicates the fit method and data used for modeling.

  4. MODELLING OF CARBON MONOXIDE AIR POLLUTION IN LARG CITIES BY EVALUETION OF SPECTRAL LANDSAT8 IMAGES

    Directory of Open Access Journals (Sweden)

    M. Hamzelo

    2015-12-01

    Full Text Available Air pollution in large cities is one of the major problems that resolve and reduce it need multiple applications and environmental management. Of The main sources of this pollution is industrial activities, urban and transport that enter large amounts of contaminants into the air and reduces its quality. With Variety of pollutants and high volume manufacturing, local distribution of manufacturing centers, Testing and measuring emissions is difficult. Substances such as carbon monoxide, sulfur dioxide, and unburned hydrocarbons and lead compounds are substances that cause air pollution and carbon monoxide is most important. Today, data exchange systems, processing, analysis and modeling is of important pillars of management system and air quality control. In this study, using the spectral signature of carbon monoxide gas as the most efficient gas pollution LANDSAT8 images in order that have better spatial resolution than appropriate spectral bands and weather meters،SAM classification algorithm and Geographic Information System (GIS , spatial distribution of carbon monoxide gas in Tehran over a period of one year from the beginning of 2014 until the beginning of 2015 at 11 map have modeled and then to the model valuation ،created maps were compared with the map provided by the Tehran quality comparison air company. Compare involved plans did with the error matrix and results in 4 types of care; overall, producer, user and kappa coefficient was investigated. Results of average accuracy were about than 80%, which indicates the fit method and data used for modeling.

  5. Hybrid Air Quality Modeling Approach for use in the Hear-road Exposures to Urban air pollutant Study(NEXUS)

    Science.gov (United States)

    The paper presents a hybrid air quality modeling approach and its application in NEXUS in order to provide spatial and temporally varying exposure estimates and identification of the mobile source contribution to the total pollutant exposure. Model-based exposure metrics, associa...

  6. We Pollute the Air

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    1.Clean air is important to good health.If the aircontains impurities,they may be absorbed by ourbodies and make us ill.We need clean air,butunfortunately,air pollution is generally present,especially in cities. 2.Our cities have many factories,which we need tomake food products,clothing and many other things.

  7. Modelling of air pollutant releases from the Krsko Nuclear Power Plant

    International Nuclear Information System (INIS)

    Modelling the dispersion of air pollutants in the atmosphere around the nuclear power plant is one of the important tasks that should be managed for emergency preparedness. In the Krsko Nuclear Power Plant a simple Gaussian model is operating on line (built according to Regulatory Guide 1.145 instructions). But because of the complex terrain surrounding the power plant this model does not give reliable results for longer distances. Gaussian puff models and Lagrangean particle models that can both use a 3D wind field reconstruction are the ones that are capable of more accurate reconstruction of air pollution phenomena around a source of pollution located in complex terrain. The Krsko Nuclear Power Plant has decided to apply the Gaussian puff model in real time with automatic data collection within its Emergency Warning System. (author)

  8. Assessment of Air Pollution and GHG Mitigation Strategies in Malaysia using the GAINS Model

    International Nuclear Information System (INIS)

    Planning for future energy development, taking into account the national obligations to mitigate climate change and air quality pressures is a major challenge faced by Malaysia. This research facilitates the impact assessment of simultaneous control of air pollution and GHG abatement through a set of emission scenarios while considering current and future Malaysian policies. The IIASAs GAINS (Greenhouse Gas-Air Pollution Interactions and Synergies) model is used for the estimation of emissions and costs, and the outputs of the MESSAGE and MAED energy models provide the underlying energy projections by 2050. Results show that current air-quality policies are efficient in keeping emissions growth at moderate rate, however, significant reduction potential exists if best available control technologies are introduced. Malaysian climate policies - modeled here for power sector - aiming at the -40 % decrease in carbon-intensity, result in important reductions of air pollutants, while the overall co-benefits can be substantial if other sectors are tackled by climate strategies. Initial results indicate the reduction of air pollutant control cost due to climate measures is comparable to the invoked cost-increase in power sector by 2030. Thereby, these co-benefits help to moderate total expenditures for meeting national climate policy targets. (author)

  9. SENSITIVITY ANALYSIS OF RELMAP (REGIONAL LAGRANGIAN MODEL OF AIR POLLUTION) INVOLVING FINE AND COARSE PARTICULATE MATTER

    Science.gov (United States)

    The REgional Lagrangian Model of air pollution (RELMAP) is a mass-conserving, regional scale, Lagrangian model that simulates ambient concentrations as well as wet and dry deposition of SO2, SO4(2-), and more recently fine (diameters<2.5 micrometers) and coarse (2.5 < diameter < ...

  10. A modeling framework for characterizing near-road air pollutant concentration at community scales

    Science.gov (United States)

    In this study, we combine information from transportation network, traffic emissions, and dispersion model to develop a framework to inform exposure estimates for traffic-related air pollutants (TRAPs) with a high spatial resolution. A Research LINE source dispersion model (R-LIN...

  11. Simulation of Population-Based Commuter Exposure to NO2 Using Different Air Pollution Models

    Directory of Open Access Journals (Sweden)

    Martina S. Ragettli

    2014-05-01

    Full Text Available We simulated commuter routes and long-term exposure to traffic-related air pollution during commute in a representative population sample in Basel (Switzerland, and evaluated three air pollution models with different spatial resolution for estimating commute exposures to nitrogen dioxide (NO2 as a marker of long-term exposure to traffic-related air pollution. Our approach includes spatially and temporally resolved data on actual commuter routes, travel modes and three air pollution models. Annual mean NO2 commuter exposures were similar between models. However, we found more within-city and within-subject variability in annual mean (±SD NO2 commuter exposure with a high resolution dispersion model (40 ± 7 µg m−3, range: 21–61 than with a dispersion model with a lower resolution (39 ± 5 µg m−3; range: 24–51, and a land use regression model (41 ± 5 µg m−3; range: 24–54. Highest median cumulative exposures were calculated along motorized transport and bicycle routes, and the lowest for walking. For estimating commuter exposure within a city and being interested also in small-scale variability between roads, a model with a high resolution is recommended. For larger scale epidemiological health assessment studies, models with a coarser spatial resolution are likely sufficient, especially when study areas include suburban and rural areas.

  12. Indoor air pollution

    International Nuclear Information System (INIS)

    Although official efforts to control air pollution have traditionally focused on outdoor air, it is now apparent that elevated contaminant concentrations are common inside some private and public buildings. Concerns about potential public health problems due to indoor air pollution are based on evidence that urban residents typically spend more than 90 percent of their time indoors, concentrations of some contaminants are higher indoors than outdoors, and for some pollutants personal exposures are not characterized adequately by outdoor measurements. Among the more important indoor contaminants associated with health or irritation effects are passive tobacco smoke, radon decay products, carbon monoxide, nitrogen dioxide, formaldehyde, asbestos fibers, microorganisms and aeroallergens. Efforts to assess health risks associated with indoor air pollution are limited by insufficient information about the number of people exposed, the pattern and severity of exposures, and the health consequences of exposures. An overall strategy should be developed to investigate indoor exposures, health effects, control options, and public policy alternatives

  13. Forest models: their development and potential applications for air pollution effects research

    Energy Technology Data Exchange (ETDEWEB)

    Shugart, H.H.; McLaughlin, S.B.; West, D.C.

    1980-01-01

    As research tools for evaluating the effects of chronic air pollution stress, forest simulation models offer one means of integrating forest growth and development data with generalized indices of pollution stress. This approach permits consideration of both the competitive interactions of trees in the forest stand and the influences of the stage of stand development on sensitivity of component species. A review of forest growth models, including tree, stand, and gap models, is provided as a means of evaluating relative strengths, weaknesses, and limits of applicability of representative examples of each type. Data from recent simulations with a gap model of eastern deciduous forest responses to air pollution stress are presented to emphasize the potential importance of competition in modifying individual species' responses in a forest stand. Recent developments in dendroecology are discussed as a potential mechanism for model validation and extended application.

  14. Indoor Air Pollution

    OpenAIRE

    Kirk R Smith

    2003-01-01

    Outdoor air pollution in developing-country cities is difficult to overlook. Indoor air pollution caused by burning such traditional fuels as wood, crop residues, and dung is less evident, yet it is responsible for a significant part of country and global disease burdens. The main groups affected are poor women and children in rural areas and urban slums as they go about their daily activi...

  15. INDOOR AIR POLLUTION

    OpenAIRE

    Ahmet Soysal; Yucel Demiral

    2007-01-01

    The existance of hazardious materials including biological, chemical, and physical agents such as carbon dioxide, carbon monoxide, sulphur dioxide, nitrogen oxides, radon, volotile organic compounds, microorganisms in houses and the other non-industrilized buildings have been defined as “indoor air pollution”. Indoor air pollutants could possible arised from inside or outside environment and categorized into six subgroups. Almost 80% Turkish population have living in the urban areas...

  16. Indoor air pollution

    International Nuclear Information System (INIS)

    Indoor air pollution after being a neglected subject for a number of years, is attracting attention recently because it is a side effect of energy crisis. About 50% of world's 6 billion population, mostly in developing countries, depend on biomass and coal in the form of wood, dung and crop residues for domestic energy because of poverty. These materials are burnt in simple stoves with incomplete combustion and infants, children and women are exposed to high levels of indoor air pollution for a considerable period, approximately between 2-4 hours daily. Current worldwide trade in wood fuel is over US $7 billion and about 2 million people are employed full time in production and marketing it. One of the most annoying and common indoor pollutant in both, developing and developed countries, is cigarette smoke. Children in gas-equipped homes had higher incidences of respiratory disease. Babies' DNA can be damaged even before they are born if their mothers breathe polluted air. Exposure to indoor air pollution may be responsible for nearly 2 million excess deaths in developing countries and for 4% of the global burden of the disease. Only a few indoor pollutants have been studied in detail. Indoor air pollution is a major health threat on which further research is needed to define the extent of the problem more precisely and to determine solutions by the policy-makers instead of neglecting it because sufferers mostly belong to Third World countries. (author)

  17. Manual for THOR-AirPAS - air pollution assessment system

    DEFF Research Database (Denmark)

    Jensen, Steen Solvang; Ketzel, Matthias; Brandt, Jørgen;

    The report provides an outline of the THOR-AirPAS - air pollution assessment system and a brief manual for getting started with the air quality models and input data included in THOR-AirPAS.......The report provides an outline of the THOR-AirPAS - air pollution assessment system and a brief manual for getting started with the air quality models and input data included in THOR-AirPAS....

  18. A Statistical Model of Background Air Pollution Frequency Distributions

    OpenAIRE

    Antonovsky, M.Y.; Buchstaber, V. M.; Zaleniuk, E.A.

    1988-01-01

    The authors of this paper describe an approach for identifying statistically stable central tendencies in the frequency distributions of time series of observations of background atmospheric pollutants. The data were collected as daily mean values of concentrations of sulfur dioxide and suspended particulate matter at five monitoring stations -- three in the USSR, one in Norway, and one in Sweden. In their approach, the authors use well-developed statistical techniques and the usual meth...

  19. Modeling temporal and spatial variability of traffic-related air pollution: Hourly land use regression models for black carbon

    OpenAIRE

    Dons, Evi; Van Poppel, Martine; Kochan, Bruno; Wets, Geert; Int Panis, Luc

    2013-01-01

    Land use regression (LUR) modeling is a statistical technique used to determine exposure to air pollutants in epidemiological studies. Time-activity diaries can be combined with LUR models, enabling detailed exposure estimation and limiting exposure misclassification, both in shorter and longer time lags. In this study, the traffic related air pollutant black carbon was measured with mu-aethalometers on a 5-mm time base at 63 locations in Flanders, Belgium. The measurements show that hourly c...

  20. Comparison of the RAINS Emission Control Cost Curves for Air Pollutants with Emission Control Costs Computed by the GAINS Model

    OpenAIRE

    F. Wagner; Schoepp, W.

    2007-01-01

    This paper compares cost curves of SO2, NOx and PM2.5 emission controls generated with the RAINS (Regional Air Pollution Information and Simulation) model with cost estimates obtained from the GAINS (Greenhouse Gas - Air Pollution Interactions and Synergies) model. Based on the same set of input data, results from both models are very similar, and differences are considered as insignificant.

  1. Air Pollution Primer.

    Science.gov (United States)

    National Tuberculosis and Respiratory Disease Association, New York, NY.

    As the dangers of polluted air to the health and welfare of all individuals became increasingly evident and as the complexity of the causes made responsibility for solutions even more difficult to fix, the National Tuberculosis and Respiratory Disease Association felt obligated to give greater emphasis to its clean air program. To this end they…

  2. A Framework of Environmental Modelling and Information Sharing for Urban Air Pollution Control and Management

    Institute of Scientific and Technical Information of China (English)

    LIU Gang-jun; FU Er-jiang; WANG Yun-jia; ZHANG Ke-fei; HAN Bao-ping; ARROWSMITH Colin

    2007-01-01

    More effective environmental pollution control and management are needed due to the increasing environmental impacts from a range of human activities and the growing public demands for a better living environment. Urban air pollution is a serious environmental issue that poses adverse impacts on the health of people and the environment in most metropolitan areas. In this paper, we propose a geoinformatics augmented framework of environmental modelling and information sharing for supporting effective urban air pollution control and management. This framework is outlined in terms of its key components and processes including: 1) an integrated, adaptive network of sensors for environmental monitoring; 2) a set of distributed, interoperable databases for data management; 3) a set of intelligent, robust algorithms and models for environmental modelling; 4) a set of flexible, efficient user interfaces for data access and information sharing; and 5) a reliable, high capacity, high performance computing and communication infrastructure for integrating and supporting other framework components and processes.

  3. Analytical dispersion model for the chain of primary and secondary air pollutants released from point source

    Science.gov (United States)

    Juodis, Laurynas; Filistovič, Vitold; Maceika, Evaldas; Remeikis, Vidmantas

    2016-03-01

    An analytical model for dispersion of air pollutants released from a point source forming a secondary pollutant (e.g. chemical transformation or parent-daughter radionuclide chain) is formulated considering the constant wind speed and eddy diffusivities as an explicit function of downwind distance from the source in Cauchy (reflection-deposition type) boundary conditions. The dispersion of pollutants has been investigated by using the Gaussian plume dispersion parameters σy and σz instead of the diffusivity parameters Ky and Kz. For primary pollutant it was proposed to use the derived dry deposition factor instead of the source depletion alternative. An analytical solution for steady-state two-dimensional pollutant transport in the atmosphere is presented. Derived formulas include dependency from effective release height, gravitational and dry deposition velocities of primary and secondary pollutants, advection, surface roughness length and empirical dispersion parameters σy and σz. Demonstration of analytical solution application is provided by calculation of 135Xe and 135C air activity concentrations and the applicability of the model for the solution of atmospheric pollution transport problems.

  4. A physical approach to air pollution climatological modelling in a complex site

    International Nuclear Information System (INIS)

    A Gaussian climatological model which takes into account physical factors affecting air pollutant dispersion, such as nocturnal radiative inversion and mixing height evolution, associated with land breeze and sea breeze regimes, respectively, has been applied to the topographically complex area of La Spezia (a basin surrounded by hilly terrain, located on the Italian coast). Results from the measurements of the dynamic and thermodynamic structure of the lower atmosphere, obtained by a series of field experiments, are utilized in the model to calculate SO2 seasonal average concentrations. The model has been tested on eight three-monthly periods by comparing the simulated values with the ones measured at the SO2 stations of the local air pollution monitoring network. Comparison of simulated and measured values was very satisfactory and proved the applicability of the implemented model for urban planning and establishment of air quality strategies also at a topographically complex site. (author)

  5. Survey of statistical techniques used in validation studies of air pollution prediction models

    Energy Technology Data Exchange (ETDEWEB)

    Bornstein, R D; Anderson, S F

    1979-03-01

    Statistical techniques used by meteorologists to validate predictions made by air pollution models are surveyed. Techniques are divided into the following three groups: graphical, tabular, and summary statistics. Some of the practical problems associated with verification are also discussed. Characteristics desired in any validation program are listed and a suggested combination of techniques that possesses many of these characteristics is presented.

  6. A model for the estimation of energy consumption and air pollutant emissions from rail transport

    DEFF Research Database (Denmark)

    Lindgreen, Erik Bjørn Grønning; Sorenson, Spencer C

    2003-01-01

    A model is presented for the calculation of energy consumption and air pollutant emissions from rail transport. It is based on the estimation of energy consumption from a matirx describing the distribution of speeds and accelerations for operation. It is shown that calculations can be performed on...... on energy consumption and emissions....

  7. Integrated Modelling for Health and Environmental Impact Assessment of Air Pollution and Climate Change

    OpenAIRE

    Reis, Stefan; Oxley, Tim; Rowe, Ed

    2010-01-01

    Modelling the impacts of air pollution and climate change on human health and ecosystems in integrated assessment models (IAMs) has emerged as a key tool to inform policy decision making, where simplistic solutions are unlikely to deliver efficient and sustainable pathways for future development. Model integration is facing a complex set of challenges in different dimensions, as integrated models have to be: Spatially explicit and of sufficiently high spatial resolution for...

  8. Dynamic Modeling of Kosovo's Electricity Supply-Demand, Gaseous Emissions and Air Pollution

    OpenAIRE

    Sadik Bekteshi; Skender Kabashi; Skender Ahmetaj; Ivo Šlaus; Aleksander Zidanšek; Kushtrim Podrimqaku; Shkurta Kastrati

    2015-01-01

    In this paper is described the developing of an integrated electricity supply–demand, gaseous emission and air pollution model for study of possible baseline electricity developments and available options to mitigate emissions. This model is constructed in STELLA software, which makes use of Systems Dynamics Modeling as the methodology. Several baseline scenarios have been developed from this model and a set of options of possible developments of Kosovo's Electricity Supply–De...

  9. Regional model of EKC for air pollution: Evidence from the Republic of Korea

    International Nuclear Information System (INIS)

    This study aims to investigate a relationship between economic development and air pollution at the regional level, and further suggest energy policies for climate change mitigation. The present study examines an Environmental Kuznets Curve (EKC) hypothesis analyzing annual panel data of 16 metropolitan regions in Korea over a 16-year time period. The analysis results show that there is no one-dominant shape of EKC for SO2 and NO2; each region has its own EKC. That is, although we find the potential existence of U-shaped and N-shaped curves, the region-specific coefficients are enormously heterogeneous across regions. For CO, on the other hand, the random coefficient model shows that there is a dominant U-shaped curve across regions. In addition, energy consumption appears to be the most significant variable in explaining air pollution. Based on these results, we assert that environmental policy should consider the different characteristics of each region and type of pollutant. - Highlights: → Environmental Kuznets Curve (EKC) hypotheses are tested for air pollution in Korea. → A relationship of economic growth and pollution is analyzed at the regional level. → No-dominant EKC is found for SO2 and NO2, but a dominant U-shaped curve for CO. → Environmental Policy should consider different features of each pollutant and region.

  10. Air Pollution and Preterm Birth in the U.S. State of Georgia (2002–2006): Associations with Concentrations of 11 Ambient Air Pollutants Estimated by Combining Community Multiscale Air Quality Model (CMAQ) Simulations with Stationary Monitor Measurements

    OpenAIRE

    Hao, Hua; Chang, Howard H.; Holmes, Heather A.; Mulholland, James A.; Klein, Mitch; Darrow, Lyndsey A.; Strickland, Matthew J

    2015-01-01

    Background: Previous epidemiologic studies suggest associations between preterm birth and ambient air pollution. Objective: We investigated associations between 11 ambient air pollutants, estimated by combining Community Multiscale Air Quality model (CMAQ) simulations with measurements from stationary monitors, and risk of preterm birth (< 37 weeks of gestation) in the U.S. state of Georgia. Methods: Birth records for singleton births ≥ 27 weeks of gestation with complete covariate informatio...

  11. Air Pollution Prevention Applications for the Transport Sector by Integrating Urban Area Transport and Vehicle Emission Models with the Case Study of Bangkok, Thailand

    OpenAIRE

    Padet Praditphet

    2009-01-01

    This study proposes air pollution prevention applications for urban area transportation aimed at minimizing pollution and meeting ambient air quality standards through the use of transport and vehicle emissions models that account for air pollution changes resulting from prevention strategies. This study combines pollution prevention techniques and transport and vehicle emissions models to enhance air pollution prevention in an urban area. The amount of air emissions from transportation conti...

  12. Parallel runs of a large air pollution model on a grid of Sun computers

    DEFF Research Database (Denmark)

    Alexandrov, V.N.; Owczarz, W.; Thomsen, Per Grove;

    2004-01-01

    Large -scale air pollution models can successfully be used in different environmental studies. These models are described mathematically by systems of partial differential equations. Splitting procedures followed by discretization of the spatial derivatives leads to several large systems of ordin...... of ordinary differential equations of sizes up to 80 millions. The solution of such systems can only be treated succesfully if :(i) fast and sufficiently accurate numerical methods are applied and (ii) the models are run efficiently on parallel computers....

  13. Actual car fleet emissions estimated from urban air quality measurements and street pollution models

    International Nuclear Information System (INIS)

    A method to determine emissions from the actual car fleet under realistic driving conditions has been developed. The method is based on air quality measurements, traffic counts and inverse application of street air quality models. Many pollutants are of importance for assessing the adverse impact of the air pollution, e.g. NO2, CO, lead, VOCs and particulate matter. Aromatic VOCs are of special great concern due to their adverse health effects. Measurements of benzene, toluene and xylenes were carried out in central Copenhagen since 1994. Significant correlation was observed between VOCs and CO concentrations, indicating that the petrol engine vehicles are the major sources of VOC air pollution in central Copenhagen. Hourly mean concentrations of benzene were observed to reach values of up to 20 ppb, what is critically high according to the WHOs recommendations. Based on inverse model calculation of dispersion of pollutants in street canyons, an average emission factor of benzene for the fleet of petrol fuelled vehicles was estimated to be 0.38 g/km in 1994 and 0.11 in 1997. This decrease was caused by the reduction of benzene content in Danish petrol since summer 1995 and increasing percentage of cars equipped with three-way catalysts. The emission factors for benzene for diesel-fuelled vehicles were low

  14. Coupling dynamics and chemistry in the air pollution modelling of street canyons: A review.

    Science.gov (United States)

    Zhong, Jian; Cai, Xiao-Ming; Bloss, William James

    2016-07-01

    Air pollutants emitted from vehicles in street canyons may be reactive, undergoing mixing and chemical processing before escaping into the overlying atmosphere. The deterioration of air quality in street canyons occurs due to combined effects of proximate emission sources, dynamical processes (reduced dispersion) and chemical processes (evolution of reactive primary and formation of secondary pollutants). The coupling between dynamics and chemistry plays a major role in determining street canyon air quality, and numerical model approaches to represent this coupling are reviewed in this article. Dynamical processes can be represented by Computational Fluid Dynamics (CFD) techniques. The choice of CFD approach (mainly the Reynolds-Averaged Navier-Stokes (RANS) and Large-Eddy Simulation (LES) models) depends on the computational cost, the accuracy required and hence the application. Simplified parameterisations of the overall integrated effect of dynamics in street canyons provide capability to handle relatively complex chemistry in practical applications. Chemical processes are represented by a chemical mechanism, which describes mathematically the chemical removal and formation of primary and secondary species. Coupling between these aspects needs to accommodate transport, dispersion and chemical reactions for reactive pollutants, especially fast chemical reactions with time scales comparable to or shorter than those of typical turbulent eddies inside the street canyon. Different approaches to dynamical and chemical coupling have varying strengths, costs and levels of accuracy, which must be considered in their use for provision of reference information concerning urban canopy air pollution to stakeholders considering traffic and urban planning policies. PMID:27149146

  15. [Application of Land-use Regression Models in Spatial-temporal Differentiation of Air Pollution].

    Science.gov (United States)

    Wu, Jian-sheng; Xie, Wu-dan; Li, Jia-cheng

    2016-02-15

    With the rapid development of urbanization, industrialization and motorization, air pollution has become one of the most serious environmental problems in our country, which has negative impacts on public health and ecological environment. LUR model is one of the common methods simulating spatial-temporal differentiation of air pollution at city scale. It has broad application in Europe and North America, but not really in China. Based on many studies at home and abroad, this study started with the main steps to develop LUR model, including obtaining the monitoring data, generating variables, developing models, model validation and regression mapping. Then a conclusion was drawn on the progress of LUR models in spatial-temporal differentiation of air pollution. Furthermore, the research focus and orientation in the future were prospected, including highlighting spatial-temporal differentiation, increasing classes of model variables and improving the methods of model development. This paper was aimed to popularize the application of LUR model in China, and provide a methodological basis for human exposure, epidemiologic study and health risk assessment. PMID:27363125

  16. Multi-scale modeling of urban air pollution: development of a Street-in-Grid model

    Science.gov (United States)

    Kim, Youngseob; Wu, You; Seigneur, Christian; Roustan, Yelva

    2016-04-01

    A new multi-scale model of urban air pollution is presented. This model combines a chemical-transport model (CTM) that includes a comprehensive treatment of atmospheric chemistry and transport at spatial scales greater than 1 km and a street-network model that describes the atmospheric concentrations of pollutants in an urban street network. The street-network model is based on the general formulation of the SIRANE model and consists of two main components: a street-canyon component and a street-intersection component. The street-canyon component calculates the mass transfer velocity at the top of the street canyon (roof top) and the mean wind velocity within the street canyon. The estimation of the mass transfer velocity depends on the intensity of the standard deviation of the vertical velocity at roof top. The effect of various formulations of this mass transfer velocity on the pollutant transport at roof-top level is examined. The street-intersection component calculates the mass transfer from a given street to other streets across the intersection. These mass transfer rates among the streets are calculated using the mean wind velocity calculated for each street and are balanced so that the total incoming flow rate is equal to the total outgoing flow rate from the intersection including the flow between the intersection and the overlying atmosphere at roof top. In the default option, the Leighton photostationary cycle among ozone (O3) and nitrogen oxides (NO and NO2) is used to represent the chemical reactions within the street network. However, the influence of volatile organic compounds (VOC) on the pollutant concentrations increases when the nitrogen oxides (NOx) concentrations are low. To account for the possible VOC influence on street-canyon chemistry, the CB05 chemical kinetic mechanism, which includes 35 VOC model species, is implemented in this street-network model. A sensitivity study is conducted to assess the uncertainties associated with the use of

  17. Perception of Air Pollution in the Jinchuan Mining Area, China: A Structural Equation Modeling Approach

    OpenAIRE

    Zhengtao Li; Henk Folmer; Jianhong Xue

    2016-01-01

    Studies on the perception of air pollution in China are very limited. The aim of this paper is to help to fill this gap by analyzing a cross-sectional dataset of 759 residents of the Jinchuan mining area, Gansu Province, China. The estimations suggest that perception of air pollution is two-dimensional. The first dimension is the perceived intensity of air pollution and the second is the perceived hazardousness of the pollutants. Both dimensions are influenced by environmental knowledge. Perc...

  18. Pupils' Understanding of Air Pollution

    Science.gov (United States)

    Dimitriou, Anastasia; Christidou, Vasilia

    2007-01-01

    This paper reports on a study of pupils' knowledge and understanding of atmospheric pollution. Specifically, the study is aimed at identifying: 1) the extent to which pupils conceptualise the term "air pollution" in a scientifically appropriate way; 2) pupils' knowledge of air pollution sources and air pollutants; and 3) pupils' knowledge of air…

  19. Air pollution and its control in China

    Institute of Scientific and Technical Information of China (English)

    HAO Jiming; HE Kebin; DUAN Lei; LI Junhua; WANG Litao

    2007-01-01

    The rapid growth of China's economy has led to severe air pollution characterized by acid rain,severe pollution in cities,and regional air pollution.High concentrations are found for various pollutants such as sulfur dioxides(SO2),nitrogen oxides(NOx),and fine particulates.Great efforts have thus been undertaken for the control of air pollution in the country.This paper discusses the development and application of appropriate technologies for reducing the major pollutants produced by coal and vehicles,and investi gates air quality modeling as an important support for policy-making.

  20. Parallel runs of a large air pollution model on a grid of Sun computers

    OpenAIRE

    Alexandrov, V. N.; Owczarz, W.; Thomsen, Per Grove; Zlatev, Zahari

    2004-01-01

    Large -scale air pollution models can successfully be used in different environmental studies. These models are described mathematically by systems of partial differential equations. Splitting procedures followed by discretization of the spatial derivatives leads to several large systems of ordinary differential equations of sizes up to 80 millions. The solution of such systems can only be treated succesfully if :(i) fast and sufficiently accurate numerical methods are applied and (ii) the mo...

  1. MONITORING AND MODELLING OF AIR POLLUTION PRODUCED BY AIRCRAFT ENGINE EMISSION INSIDE THE ATHENS INTERNATIONAL AIRPORT

    Directory of Open Access Journals (Sweden)

    Oleksander I. Zaporozhets

    2009-04-01

    Full Text Available  Experimental measuring of air pollution inside the airport, produced by aircraft engine emission during accelaration and take-off on the runway. Measurement data were used for verification of modelling results according to complex model «PolEmiCa». It consists of the following basic components: engine emission inventory calculation; transport of the contaminants by engine jets, dispersion of the contaminants in atmosphere due to wind and atmospheric turbulence.

  2. Air pollution modelling using a graphics processing unit with CUDA

    CERN Document Server

    Molnar, Ferenc; Meszaros, Robert; Lagzi, Istvan; 10.1016/j.cpc.2009.09.008

    2010-01-01

    The Graphics Processing Unit (GPU) is a powerful tool for parallel computing. In the past years the performance and capabilities of GPUs have increased, and the Compute Unified Device Architecture (CUDA) - a parallel computing architecture - has been developed by NVIDIA to utilize this performance in general purpose computations. Here we show for the first time a possible application of GPU for environmental studies serving as a basement for decision making strategies. A stochastic Lagrangian particle model has been developed on CUDA to estimate the transport and the transformation of the radionuclides from a single point source during an accidental release. Our results show that parallel implementation achieves typical acceleration values in the order of 80-120 times compared to CPU using a single-threaded implementation on a 2.33 GHz desktop computer. Only very small differences have been found between the results obtained from GPU and CPU simulations, which are comparable with the effect of stochastic tran...

  3. A geographic approach to modelling human exposure to traffic air pollution using GIS. Separate appendix report

    Energy Technology Data Exchange (ETDEWEB)

    Solvang Jensen, S.

    1998-10-01

    A new exposure model has been developed that is based on a physical, single media (air) and single source (traffic) micro environmental approach that estimates traffic related exposures geographically with the postal address as exposure indicator. The micro environments: residence, workplace and street (road user exposure) may be considered. The model estimates outdoor levels for selected ambient air pollutants (benzene, CO, NO{sub 2} and O{sub 3}). The influence of outdoor air pollution on indoor levels can be estimated using average (I/O-ratios. The model has a very high spatial resolution (the address), a high temporal resolution (one hour) and may be used to predict past, present and future exposures. The model may be used for impact assessment of control measures provided that the changes to the model inputs are obtained. The exposure model takes advantage of a standard Geographic Information System (GIS) (ArcView and Avenue) for generation of inputs, for visualisation of input and output, and uses available digital maps, national administrative registers and a local traffic database, and the Danish Operational Street Pollution Model (OSPM). The exposure model presents a new approach to exposure determination by integration of digital maps, administrative registers, a street pollution model and GIS. New methods have been developed to generate the required input parameters for the OSPM model: to geocode buildings using cadastral maps and address points, to automatically generate street configuration data based on digital maps, the BBR and GIS; to predict the temporal variation in traffic and related parameters; and to provide hourly background levels for the OSPM model. (EG)

  4. A geographic approach to modelling human exposure to traffic air pollution using GIS

    Energy Technology Data Exchange (ETDEWEB)

    Solvang Jensen, S.

    1998-10-01

    A new exposure model has been developed that is based on a physical, single media (air) and single source (traffic) micro environmental approach that estimates traffic related exposures geographically with the postal address as exposure indicator. The micro environments: residence, workplace and street (road user exposure) may be considered. The model estimates outdoor levels for selected ambient air pollutants (benzene, CO, NO{sub 2} and O{sub 3}). The influence of outdoor air pollution on indoor levels can be estimated using average (I/O-ratios. The model has a very high spatial resolution (the address), a high temporal resolution (one hour) and may be used to predict past, present and future exposures. The model may be used for impact assessment of control measures provided that the changes to the model inputs are obtained. The exposure model takes advantage of a standard Geographic Information System (GIS) (ArcView and Avenue) for generation of inputs, for visualisation of input and output, and uses available digital maps, national administrative registers and a local traffic database, and the Danish Operational Street Pollution Model (OSPM). The exposure model presents a new approach to exposure determination by integration of digital maps, administrative registers, a street pollution model and GIS. New methods have been developed to generate the required input parameters for the OSPM model: to geocode buildings using cadastral maps and address points, to automatically generate street configuration data based on digital maps, the BBR and GIS; to predict the temporal variation in traffic and related parameters; and to provide hourly background levels for the OSPM model. (EG) 109 refs.

  5. Fundamentals of air pollution engineering

    OpenAIRE

    Flagan, Richard C.; Seinfeld, John H.

    1988-01-01

    Analysis and abatement of air pollution involve a variety of technical disciplines. Formation of the most prevalent pollutants occurs during the combustion process, a tightly coupled system involving fluid flow, mass and energy transport, and chemical kinetics. Its complexity is exemplified by the fact that, in many respects, the simplest hydrocarbon combustion, the methane-oxygen flame, has been quantitatively modeled only within the last several years. Nonetheless, the development of combus...

  6. Photochemical air pollution syndrome

    Energy Technology Data Exchange (ETDEWEB)

    Hamming, W.J.; MacBeth, W.C.; Chass, R.L.

    1967-01-01

    There are two distinct pollution problems in the Los Angeles Basin - one in winter, the other most frequently in summer and fall. In winter the concentrations of carbon monoxide, nitrogen oxides, sulfur dioxide and black filterable aerosols are higher than in summer, but the secondary pollutants such as ozone and photochemical oxidants are not as high. The photochemical air pollution syndrome is due to a pattern set by previous smog attacks. This pattern is due to low wind speeds, low inversion heights, a trajectory to carry the pollution and sufficient sunlight to photodissociate the nitrogen dioxide formed and to form nitric oxide and atomic oxygen. The results are high levels of oxidant or ozone and large quantities of particles. 5 references, 9 figures, 7 tables.

  7. Modeling air pollution in Lebanon: evaluation at a suburban site in Beirut

    Directory of Open Access Journals (Sweden)

    A. Waked

    2012-11-01

    Full Text Available Beirut, the capital city of Lebanon, which is located on the eastern shore of the Mediterranean basin, experiences high air pollution episodes. Annual average concentrations of coarse and fine particulate matter (PM2.5 as well as nitrogen oxides (NOx often exceed the World Health Organization (WHO guidelines. Therefore, improving air quality in this region is essential. The Polyphemus/Polair3D modeling system is used here to investigate air pollution episodes in Beirut during 2–18 July 2011. The modeling domain covers two nested grids of 1 and 5 km horizontal resolution over the greater Beirut and Lebanon, respectively. The anthropogenic emission inventory was developed earlier (Waked et al., 2012. The Weather and Research Forecasting (WRF model is used to generate the meteorological fields and the Model of Emissions of Gases and Aerosols from Nature (MEGAN is used for biogenic emissions. The results of the study are compared to measurements from a field campaign conducted in the suburb of Beirut during 2–18 July 2011. The model reproduces satisfactorily the concentrations of most gaseous pollutants, the total mass of PM2.5 as well as PM2.5 elemental carbon (EC, organic carbon (OC, and sulfate.

  8. Modeling air pollution in Lebanon: evaluation at a suburban site in Beirut during summer

    Directory of Open Access Journals (Sweden)

    A. Waked

    2013-06-01

    Full Text Available Beirut, the capital of Lebanon, which is located on the eastern shore of the Mediterranean basin, experiences high air pollution episodes. Annual average concentrations of coarse and fine particulate matter (PM2.5 as well as nitrogen oxides (NOx often exceed the World Health Organization (WHO guidelines. Therefore, improving air quality in this region is essential. The Polyphemus/Polair3D modeling system is used here to investigate air pollution episodes in Beirut during 2 to 18 July 2011. The modeling domain covers two nested grids of 1 and 5 km horizontal resolution over greater Beirut and Lebanon, respectively. The anthropogenic emission inventory was developed earlier (Waked et al., 2012. The Weather and Research Forecasting (WRF model is used to generate the meteorological fields and the Model of Emissions of Gases and Aerosols from Nature (MEGAN is used for biogenic emissions. The results of the study are compared to measurements from a field campaign conducted in the suburb of Beirut during 2–18 July 2011. The model reproduces satisfactorily the concentrations of most gaseous pollutants, the total mass of PM2.5 as well as PM2.5 elemental carbon (EC, organic carbon (OC, and sulfate. Ozone concentrations are overestimated and it appears that this overestimation results mainly from the boundary conditions.

  9. Advanced modeling of potential air pollution dispersion around Krsko NPP using 3D wind field reconstruction and numerical lagrangean particle model

    International Nuclear Information System (INIS)

    In the paper a successful automatisation of advanced air pollution dispersion modelling is presented. Air pollution dispersion modelling is an important part of dose projection procedures. At Krsko NPP modelling consists of 3D wind and turbulence field reconstruction and numerical Lagrangean particle model air pollution dispersion simulation. Input data collection and modelling calculations are done every half hour totally automatically. Results are automatically available for dose calculation system. (author)

  10. Asessing the air pollution distribution in busy street of Copenhagen in the further development of a street pollution model

    DEFF Research Database (Denmark)

    Hertel, Ole; Ketzel, Matthias; Poulsen, Maria B.;

    areas with the highest concentrations to which the population is exposed, but also areas which are representative for the exposure of the general population; in both cases for the protection of human health as well as for protecting biodiversity in ecosystems. The current project aims at obtaining a...... detailed dataset for the spatial air pollution distribution in a very busy street, H.C. Andersens Boulevard in Copenhagen; a street where a monitoring site has already been in place for many years. The dataset will be established for the further development of the Operational Street Pollution Model (OSPM......) developed at AU; the revised version OSPM includes new features like inhomogeneous distribution of the traffic on different lanes, slope of the street etc (see e.g. Ottosen et al. (2015)). An additional goal for the project is to explore the applicability of low-cost electrochemical sensors for describing...

  11. Computer Simulation for Dispersion of Air Pollution Released from a Line Source According to Gaussian Model

    International Nuclear Information System (INIS)

    A line source model, developed in laboratory of environmental physics, faculty of science at Qena, Egypt is proposed to describe the downwind dispersion of pollutants near roadways, at different cities in Egypt. The model is based on the Gaussian plume methodology and is used to predict air pollutants' concentrations near roadways. In this direction, simple software has been presented in this paper, developed by authors, adopted completely Graphical User Interface (GUI) technique for operating in various windows-based microcomputers. The software interface and code have been designed by Microsoft Visual basic 6.0 based on the Gaussian diffusion equation. This software is developed to predict concentrations of gaseous pollutants (eg. CO, SO2, NO2 and particulates) at a user specified receptor grid

  12. Cardiac arrhythmogenesis in urban air pollution: Optical mapping in a tissue-engineered model

    Science.gov (United States)

    Bien, Harold H.

    Recent epidemiological evidence has implicated particulate matter air pollution in cardiovascular disease. We hypothesized that inflammatory mediators released from lung macrophages after exposure to particulate matter predisposes the heart to disturbances in rhythm. Using a rational design approach, a fluorescent optical mapping system was devised to image spatiotemporal patterns of excitation in a tissue engineered model of cardiac tissue. Algorithms for automated data analysis and characterization of rhythm stability were developed, implemented, and verified. Baseline evaluation of spatiotemporal instability patterns in normal cardiac tissue was performed for comparison to an in-vitro model of particulate matter air pollution exposure. Exposure to particulate-matter activated alveolar macrophage conditioned media resulted in paradoxical functional changes more consistent with improved growth. These findings might be indicative of a "stress" response to particulate-matter induced pulmonary inflammation, or may be specific to the animal model (neonatal rat) employed. In the pursuit of elucidating the proposed pathway, we have also furthered our understanding of fundamental behaviors of arrhythmias in general and established a model where further testing might ultimately reveal the mechanism for urban air pollution associated cardiovascular morbidity.

  13. Collaborative Emission Reduction Model Based on Multi-Objective Optimization for Greenhouse Gases and Air Pollutants.

    Science.gov (United States)

    Meng, Qing-chun; Rong, Xiao-xia; Zhang, Yi-min; Wan, Xiao-le; Liu, Yuan-yuan; Wang, Yu-zhi

    2016-01-01

    CO2 emission influences not only global climate change but also international economic and political situations. Thus, reducing the emission of CO2, a major greenhouse gas, has become a major issue in China and around the world as regards preserving the environmental ecology. Energy consumption from coal, oil, and natural gas is primarily responsible for the production of greenhouse gases and air pollutants such as SO2 and NOX, which are the main air pollutants in China. In this study, a mathematical multi-objective optimization method was adopted to analyze the collaborative emission reduction of three kinds of gases on the basis of their common restraints in different ways of energy consumption to develop an economic, clean, and efficient scheme for energy distribution. The first part introduces the background research, the collaborative emission reduction for three kinds of gases, the multi-objective optimization, the main mathematical modeling, and the optimization method. The second part discusses the four mathematical tools utilized in this study, which include the Granger causality test to analyze the causality between air quality and pollutant emission, a function analysis to determine the quantitative relation between energy consumption and pollutant emission, a multi-objective optimization to set up the collaborative optimization model that considers energy consumption, and an optimality condition analysis for the multi-objective optimization model to design the optimal-pole algorithm and obtain an efficient collaborative reduction scheme. In the empirical analysis, the data of pollutant emission and final consumption of energies of Tianjin in 1996-2012 was employed to verify the effectiveness of the model and analyze the efficient solution and the corresponding dominant set. In the last part, several suggestions for collaborative reduction are recommended and the drawn conclusions are stated. PMID:27010658

  14. Collaborative Emission Reduction Model Based on Multi-Objective Optimization for Greenhouse Gases and Air Pollutants.

    Directory of Open Access Journals (Sweden)

    Qing-chun Meng

    Full Text Available CO2 emission influences not only global climate change but also international economic and political situations. Thus, reducing the emission of CO2, a major greenhouse gas, has become a major issue in China and around the world as regards preserving the environmental ecology. Energy consumption from coal, oil, and natural gas is primarily responsible for the production of greenhouse gases and air pollutants such as SO2 and NOX, which are the main air pollutants in China. In this study, a mathematical multi-objective optimization method was adopted to analyze the collaborative emission reduction of three kinds of gases on the basis of their common restraints in different ways of energy consumption to develop an economic, clean, and efficient scheme for energy distribution. The first part introduces the background research, the collaborative emission reduction for three kinds of gases, the multi-objective optimization, the main mathematical modeling, and the optimization method. The second part discusses the four mathematical tools utilized in this study, which include the Granger causality test to analyze the causality between air quality and pollutant emission, a function analysis to determine the quantitative relation between energy consumption and pollutant emission, a multi-objective optimization to set up the collaborative optimization model that considers energy consumption, and an optimality condition analysis for the multi-objective optimization model to design the optimal-pole algorithm and obtain an efficient collaborative reduction scheme. In the empirical analysis, the data of pollutant emission and final consumption of energies of Tianjin in 1996-2012 was employed to verify the effectiveness of the model and analyze the efficient solution and the corresponding dominant set. In the last part, several suggestions for collaborative reduction are recommended and the drawn conclusions are stated.

  15. Collaborative Emission Reduction Model Based on Multi-Objective Optimization for Greenhouse Gases and Air Pollutants

    Science.gov (United States)

    Zhang, Yi-min; Wan, Xiao-le; Liu, Yuan-yuan; Wang, Yu-zhi

    2016-01-01

    CO2 emission influences not only global climate change but also international economic and political situations. Thus, reducing the emission of CO2, a major greenhouse gas, has become a major issue in China and around the world as regards preserving the environmental ecology. Energy consumption from coal, oil, and natural gas is primarily responsible for the production of greenhouse gases and air pollutants such as SO2 and NOX, which are the main air pollutants in China. In this study, a mathematical multi-objective optimization method was adopted to analyze the collaborative emission reduction of three kinds of gases on the basis of their common restraints in different ways of energy consumption to develop an economic, clean, and efficient scheme for energy distribution. The first part introduces the background research, the collaborative emission reduction for three kinds of gases, the multi-objective optimization, the main mathematical modeling, and the optimization method. The second part discusses the four mathematical tools utilized in this study, which include the Granger causality test to analyze the causality between air quality and pollutant emission, a function analysis to determine the quantitative relation between energy consumption and pollutant emission, a multi-objective optimization to set up the collaborative optimization model that considers energy consumption, and an optimality condition analysis for the multi-objective optimization model to design the optimal-pole algorithm and obtain an efficient collaborative reduction scheme. In the empirical analysis, the data of pollutant emission and final consumption of energies of Tianjin in 1996–2012 was employed to verify the effectiveness of the model and analyze the efficient solution and the corresponding dominant set. In the last part, several suggestions for collaborative reduction are recommended and the drawn conclusions are stated. PMID:27010658

  16. AN AIR POLLUTION PREDICTION TECHNIQUE FOR URBAN DISTRICTS BASED ON MESO-SCALE NUMERICAL MODEL

    Institute of Scientific and Technical Information of China (English)

    YAN Jing-hua; XU Jian-ping

    2005-01-01

    Taking Shenzhen city as an example, the statistical and physical relationship between the density of pollutants and various atmospheric parameters are analyzed in detail, and a space-partitioned city air pollution potential prediction scheme is established based on it. The scheme considers quantitatively more than ten factors at the surface and planetary boundary layer (PBL), especially the effects of anisotropy of geographical environment, and treats wind direction as an independent impact factor. While the scheme treats the prediction equation respectively for different pollutants according to their differences in dilute properties, it considers as well the possible differences in dilute properties at different districts of the city under the same atmospheric condition, treating predictions respectively for different districts. Finally, the temporally and spatially high resolution predictions for the atmospheric factors are made with a high resolution numerical model, and further the space-partitioned and time-variational city pollution potential predictions are made. The scheme is objective and quantitative, and with clear physical meaning, so it is suitable to use in making high resolution air pollution predictions.

  17. Analysis of operator splitting for advection-diffusion-reaction problems from air pollution modelling

    OpenAIRE

    Lanser, D.; Verwer, Jan

    1998-01-01

    Operator or time splitting is often used in the numerical solution of initial boundary value problems for differential equations. It is, for example, standard practice in computational air pollution modelling where we encounter systems of three-dimensional, time-dependent partial differential equations of the advection-diffusion-reaction type. For such systems little attention has been devoted to the analysis of splitting and to the question why splitting can work so well. From the theoretica...

  18. An effort for developing a seamless transport modeling and remote sensing system for air pollutants

    Science.gov (United States)

    Nakajima, T.; Goto, D.; Dai, T.; Misawa, S.; Uchida, J.; Schutgens, N.; Hashimoto, M.; Oikawa, E.; Takenaka, H.; Tsuruta, H.; Inoue, T.; Higurashi, A.

    2015-12-01

    Wide area of the globe, like Asian region, still suffers from a large emission of air pollutants and cause serious impacts on the earth's climate and the public health of the area. Launch of an international initiative, Climate and Clean Air Coalition (CCAC), is an example of efforts to ease the difficulties by reducing Short-Lived Climate Pollutants (SLCPs), i.e., black carbon aerosol, methane and other short-lived atmospheric materials that heat the earth's system, along with long-lived greenhouse gas mitigation. Impact evaluation of the air pollutants, however, has large uncertainties. We like to introduce a recent effort of projects MEXT/SALSA and MOEJ/S-12 to develop a seamless transport model for atmospheric constituents, NICAM-Chem, that is flexible enough to cover global scale to regional scale by the NICAM nonhydrostatic dynamic core (NICAM), coupled with SPRINTARS aerosol model, CHASER atmospheric chemistry model and with their three computational grid systems, i.e. quasi homogeneous grids, stretched grids and diamond grids. A local ensemble transform Kalman filter/smoother with this modeling system was successfully applied to data from MODIS, AERONET, and CALIPSO for global assimilation/inversion and surface SPM and SO2 air pollution monitoring networks for Japanese area assimilation. My talk will be extended to discuss an effective utility of satellite remote sensing of aerosols using Cloud and Aerosol Imager (CAI) on board the GOSAT satellite and Advanced Himawari Imager (AHI) on board the new third generation geostationary satellite, Himawari-8. The CAI has a near-ultraviolet channel of 380nm with 500m spatial resolution and the AHI has high frequency measurement capability of every 10 minutes. These functions are very effective for accurate land aerosol remote sensing, so that a combination with the developed aerosol assimilation system is promising.

  19. Air Pollution Modeling at Road Sides Using the Operational Street Pollution Model-A Case Study in Hanoi, Vietnam

    DEFF Research Database (Denmark)

    Hung, Ngo Tho; Ketzel, Matthias; Jensen, Steen Solvang;

    2010-01-01

    many developed countries by a combination of air quality measurements and modeling. This study focuses on how to apply a dispersion model to cities in the developing world, where model input data and data from air quality monitoring stations are limited or of varying quality. This research uses the...

  20. Air pollution control in practice

    International Nuclear Information System (INIS)

    The book offers a comprehensive treatment of the subject, from air pollution monitoring and effects on human and animal health, on plants and materials, to pollution reduction measures, practical applications, and legal regulations. It intends to give the air pollution expert a basis for developing practicable solutions. Apart from the 'classic' pollutants, also radioactive air pollution is gone into. (DG) With 366 figs., 190 tabs

  1. A modeling analysis of a heavy air pollution episode occurred in Beijing

    Directory of Open Access Journals (Sweden)

    X. An

    2007-06-01

    Full Text Available The concentrations of fine particulate matter (PM and ozone in Beijing often exceed healthful levels in recent years, therefore China is to taking steps to improve Beijing's air quality for the 2008 Olympic Games. In this paper, the Models-3 Community Multiscale Air Quality (CMAQ Modeling System was used to investigate a heavy air pollution episode in Beijing during 3–7 April 2005 to obtain the basic information of how heavy air pollution formed and the contributions of local sources and surround emissions. The modeling domain covered from East Asia with four nested grids with 81 to 3 km horizontal resolution focusing on urban Beijing. This was coupled with a regional emissions inventory with a 10 km resolution and a local 1 km Beijing emissions database. The trend of predicted concentrations of various pollutants agreed reasonably well with the observations and captured the main features of this heavy pollution episode. The simulated column concentration distribution of PM was correlated well with the MODIS remote sensing products. Control runs with and without Beijing emissions were conducted to quantify the contributions of non-Beijing sources (NBS to the Beijing local air pollution. The contributions of NBS to each species differed spatially and temporally with the order of PM2.5>PM10>SO2> soil for this episode. The percentage contribution of NBS to fine particle (PM2.5 in Beijing was averaged about 39%, up to 53% at the northwest of urban Beijing and only 15% at southwest. The spatial distribution of NBS contributions for PM10 was similar to that for PM2.5, with a slightly less average percentage of about 30%. The average NBS contributions for SO2 and soil (diameter between 2.5 μm and 10 μm were 18% and 10%. In addition, the pollutant transport flux was calculated and compared at different levels to investigate transport pathway and magnitude. It was found

  2. Transport and Environment Database System (TRENDS): Maritime Air Pollutant Emission Modelling

    DEFF Research Database (Denmark)

    Georgakaki, Aliki; Coffey, R. A.; Lock, G.;

    2003-01-01

    This paper reports the development of the maritime module within the framework of the TRENDS project. A detailed database has been constructed, which includes all stages of the energy consumption and air pollutant emission calculations. The technical assumptions and factors incorporated in the...... database are presented, including changes from MEET findings. The database operates on statistical data provided by Eurostat. Data is at port to MCA level, so a bottom-up approach is used. This was the first attempt to use Eurostat maritime statistics for emission modelling, and the problems that have been...... encountered since the statistical data collection was not undertaken with a view to this purpose are mentioned. Examples of the results obtained by the database are presented. These include detailed air pollutant emission results per port and vessel type, to aggregate results for different types of movements...

  3. In Brief: Air pollution app

    Science.gov (United States)

    Showstack, Randy

    2010-10-01

    A new smartphone application takes advantage of various technological capabilities and sensors to help users monitor air quality. Tapping into smartphone cameras, Global Positioning System (GPS) sensors, compasses, and accelerometers, computer scientists with the University of Southern California's (USC) Viterbi School of Engineering have developed a new application, provisionally entitled “Visibility.” Currently available for the Android telephone operating system, the application is available for free download at http://robotics.usc.edu/˜mobilesensing/Projects/AirVisibilityMonitoring. An iPhone application may be introduced soon. Smartphone users can take a picture of the sky and then compare it with models of sky luminance to estimate visibility. While conventional air pollution monitors are costly and thinly deployed in some areas, the smartphone application potentially could help fill in some blanks in existing air pollution maps, according to USC computer science professor Gaurav Sukhatme.

  4. Unified Data Model of Urban Air Pollution Dispersion and 3D Spatial City Models: Groundwork Assessment towards Sustainable Urban Development for Malaysia

    OpenAIRE

    2013-01-01

    Understanding the behavior of urban air pollution is important en route for sustainable urban development (SUD). Malaysia is on its mission to be a developed country by year 2020 comprehends dealing with air pollution is one of the indicators headed towards it. At present monitoring and managing air pollution in urban areas encompasses sophisticated air quality modeling and data acquisition. However, rapid developments in major cities cause difficulties in acquiring the city geometries. The e...

  5. Perception of Air Pollution in the Jinchuan Mining Area, China: A Structural Equation Modeling Approach

    Science.gov (United States)

    Li, Zhengtao; Folmer, Henk; Xue, Jianhong

    2016-01-01

    Studies on the perception of air pollution in China are very limited. The aim of this paper is to help to fill this gap by analyzing a cross-sectional dataset of 759 residents of the Jinchuan mining area, Gansu Province, China. The estimations suggest that perception of air pollution is two-dimensional. The first dimension is the perceived intensity of air pollution and the second is the perceived hazardousness of the pollutants. Both dimensions are influenced by environmental knowledge. Perceived intensity is furthermore influenced by socio-economic status and proximity to the pollution source; perceived hazardousness is influenced by socio-economic status, family health experience, family size and proximity to the pollution source. There are no reverse effects from perception on environmental knowledge. The main conclusion is that virtually all Jinchuan residents perceive high intensity and hazardousness of air pollution despite the fact that public information on air pollution and its health impacts is classified to a great extent. It is suggested that, to assist the residents to take appropriate preventive action, the local government should develop counseling and educational campaigns and institutionalize disclosure of air quality conditions. These programs should pay special attention to young residents who have limited knowledge of air pollution in the Jinchuan mining area. PMID:27455291

  6. Perception of Air Pollution in the Jinchuan Mining Area, China: A Structural Equation Modeling Approach.

    Science.gov (United States)

    Li, Zhengtao; Folmer, Henk; Xue, Jianhong

    2016-01-01

    Studies on the perception of air pollution in China are very limited. The aim of this paper is to help to fill this gap by analyzing a cross-sectional dataset of 759 residents of the Jinchuan mining area, Gansu Province, China. The estimations suggest that perception of air pollution is two-dimensional. The first dimension is the perceived intensity of air pollution and the second is the perceived hazardousness of the pollutants. Both dimensions are influenced by environmental knowledge. Perceived intensity is furthermore influenced by socio-economic status and proximity to the pollution source; perceived hazardousness is influenced by socio-economic status, family health experience, family size and proximity to the pollution source. There are no reverse effects from perception on environmental knowledge. The main conclusion is that virtually all Jinchuan residents perceive high intensity and hazardousness of air pollution despite the fact that public information on air pollution and its health impacts is classified to a great extent. It is suggested that, to assist the residents to take appropriate preventive action, the local government should develop counseling and educational campaigns and institutionalize disclosure of air quality conditions. These programs should pay special attention to young residents who have limited knowledge of air pollution in the Jinchuan mining area. PMID:27455291

  7. Tracking hazardous air pollutants from a refinery fire by applying on-line and off-line air monitoring and back trajectory modeling

    International Nuclear Information System (INIS)

    Highlights: • An industrial fire can emit hazardous air pollutants into the surrounding areas. • Both on- and off-line monitoring are needed to study air pollution from fires. • Back trajectory and dispersion modeling can trace emission sources of fire-related pollution. -- Abstract: The air monitors used by most regulatory authorities are designed to track the daily emissions of conventional pollutants and are not well suited for measuring hazardous air pollutants that are released from accidents such as refinery fires. By applying a wide variety of air-monitoring systems, including on-line Fourier transform infrared spectroscopy, gas chromatography with a flame ionization detector, and off-line gas chromatography–mass spectrometry for measuring hazardous air pollutants during and after a fire at a petrochemical complex in central Taiwan on May 12, 2011, we were able to detect significantly higher levels of combustion-related gaseous and particulate pollutants, refinery-related hydrocarbons, and chlorinated hydrocarbons, such as 1,2-dichloroethane, vinyl chloride monomer, and dichloromethane, inside the complex and 10 km downwind from the fire than those measured during the normal operation periods. Both back trajectories and dispersion models further confirmed that high levels of hazardous air pollutants in the neighboring communities were carried by air mass flown from the 22 plants that were shut down by the fire. This study demonstrates that hazardous air pollutants from industrial accidents can successfully be identified and traced back to their emission sources by applying a timely and comprehensive air-monitoring campaign and back trajectory air flow models

  8. MODELLING OF CARBON MONOXIDE AIR POLLUTION IN LARG CITIES BY EVALUETION OF SPECTRAL LANDSAT8 IMAGES

    OpenAIRE

    Hamzelo, M.; Gharagozlou, A.; S. Sadeghian; Baikpour, S. H.; Rajabi, A.

    2015-01-01

    Air pollution in large cities is one of the major problems that resolve and reduce it need multiple applications and environmental management. Of The main sources of this pollution is industrial activities, urban and transport that enter large amounts of contaminants into the air and reduces its quality. With Variety of pollutants and high volume manufacturing, local distribution of manufacturing centers, Testing and measuring emissions is difficult. Substances such as carbon monoxide, sulfur...

  9. Lagrangian particle modeling of air pollution transport in southwestern United States

    Energy Technology Data Exchange (ETDEWEB)

    Uliasz, M. [Warsaw Univ. of Technology (Poland); Stocker, R.A.; Pielke, R.A. [Colorado State Univ., Fort Collins, CO (United States)

    1994-12-31

    Several modeling techniques of various complexity and accuracy are applied in a numerical modeling study of regional air pollution transport being performed within the Measurement Of Haze And Visual Effect (MOHAVE) project. The goal of this study is to assess the impact of the Mohave Power Project (MPP) and other potential sources of air pollution to specific Class I areas located in the desert southwest United States including the Grand Canyon National Park. The Colorado State University team is performing the daily meteorological and dispersion simulations for a year long study using a nonhydrostatic mesoscale meteorological model; the Regional Atmospheric Modeling System (RAMS) coupled with a Lagrangian particle dispersion (LPD) model. The modeling domain covers the southwestern United States with its extremely complex terrain. Two complementary dispersion modeling techniques: a traditional source-oriented approach and receptor-oriented approach are used to calculate concentration and influence function fields, respectively. All computations are performed on two IBM RISC-6000 workstations dedicated to the project. The goal of this paper is to present our design for daily dispersion simulations with an emphasis on influence function calculations using examples from the winter and summer intensive periods of the MOHAVE project.

  10. Conceptual Model for Assessing Criteria Air Pollutants in a Multipollutant Context: A Modified Adverse Outcome Pathway Approach

    Science.gov (United States)

    Background: Air pollution consists of a complex mixture of particulate and gaseous components. Individual criteria and other hazardous air pollutants have been linked to adverse respiratory and cardiovascular health outcomes. However, assessing risk of air pollutant mixtures is d...

  11. Uncertainty characterization and quantification in air pollution models. Application to the CHIMERE model

    Science.gov (United States)

    Debry, Edouard; Mallet, Vivien; Garaud, Damien; Malherbe, Laure; Bessagnet, Bertrand; Rouïl, Laurence

    2010-05-01

    Prev'Air is the French operational system for air pollution forecasting. It is developed and maintained by INERIS with financial support from the French Ministry for Environment. On a daily basis it delivers forecasts up to three days ahead for ozone, nitrogene dioxide and particles over France and Europe. Maps of concentration peaks and daily averages are freely available to the general public. More accurate data can be provided to customers and modelers. Prev'Air forecasts are based on the Chemical Transport Model CHIMERE. French authorities rely more and more on this platform to alert the general public in case of high pollution events and to assess the efficiency of regulation measures when such events occur. For example the road speed limit may be reduced in given areas when the ozone level exceeds one regulatory threshold. These operational applications require INERIS to assess the quality of its forecasts and to sensitize end users about the confidence level. Indeed concentrations always remain an approximation of the true concentrations because of the high uncertainty on input data, such as meteorological fields and emissions, because of incomplete or inaccurate representation of physical processes, and because of efficiencies in numerical integration [1]. We would like to present in this communication the uncertainty analysis of the CHIMERE model led in the framework of an INERIS research project aiming, on the one hand, to assess the uncertainty of several deterministic models and, on the other hand, to propose relevant indicators describing air quality forecast and their uncertainty. There exist several methods to assess the uncertainty of one model. Under given assumptions the model may be differentiated into an adjoint model which directly provides the concentrations sensitivity to given parameters. But so far Monte Carlo methods seem to be the most widely and oftenly used [2,3] as they are relatively easy to implement. In this framework one

  12. Model calculated global, regional and megacity premature mortality due to air pollution

    Directory of Open Access Journals (Sweden)

    J. Lelieveld

    2013-07-01

    Full Text Available Air pollution by fine particulate matter (PM2.5 and ozone (O3 has increased strongly with industrialization and urbanization. We estimate the premature mortality rates and the years of human life lost (YLL caused by anthropogenic PM2.5 and O3 in 2005 for epidemiological regions defined by the World Health Organization (WHO. This is based upon high-resolution global model calculations that resolve urban and industrial regions in greater detail compared to previous work. Results indicate that 69% of the global population is exposed to an annual mean anthropogenic PM2.5 concentration of >10 μg m−3 (WHO guideline and 33% to > 25 μg m−3 (EU directive. We applied an epidemiological health impact function and find that especially in large countries with extensive suburban and rural populations, air pollution-induced mortality rates have been underestimated given that previous studies largely focused on the urban environment. We calculate a global respiratory mortality of about 773 thousand/year (YLL ≈ 5.2 million/year, 186 thousand/year by lung cancer (YLL ≈ 1.7 million/year and 2.0 million/year by cardiovascular disease (YLL ≈ 14.3 million/year. The global mean per capita mortality caused by air pollution is about 0.1% yr−1. The highest premature mortality rates are found in the Southeast Asia and Western Pacific regions (about 25% and 46% of the global rate, respectively where more than a dozen of the most highly polluted megacities are located.

  13. The Federal Air Pollution Program.

    Science.gov (United States)

    National Air Pollution Control Administration (DHEW), Washington, DC.

    Described is the Federal air pollution program as it was in 1967. The booklet is divided into these major topics: History of the Federal Program; Research; Assistance to State and Local Governments; Abatement and Prevention of Air Pollution; Control of Motor Vehicle Pollution; Information and Education; and Conclusion. Federal legislation has…

  14. Fundamentals of air pollution. Third edition

    Energy Technology Data Exchange (ETDEWEB)

    Boubel, R.W.; Fox, D.L.; Turner, D.B.; Stern, A.C.

    1994-12-31

    This book presents an overview of air pollution. In Part I, the history of air pollution and the basic concepts involved with air pollution such as sources, scales, definitions are covered. Part II describes how airborne pollutants damage materials, vegetation, animals, and humans. Six fundamental aspects of air pollution are included in the text: The Elements of Air Pollution; The Effects of Air Pollution; Measurement and Monitoring of Air Pollution; Meterology of Air Pollution; regulatory Control of Air Pollution; and Engineering Control of Air Pollution.

  15. Air Pollution in Europe

    International Nuclear Information System (INIS)

    In spite of improvements relative to air pollution, there is still much to do. more than thirty millions of European people are exposed to sulfur dioxide concentrations superior to guide values for health fixed by European Union, 20% of ecosystems in Europe are above the critical charges in the area of acidification and 33% concern eutrophication. Relative to the carbon dioxide, it is not sure that European Union realize the objective to stabilize the emissions for the year 2000 at the level of the year 1990, because of the increasing of automobile traffic and the energy consumption. Four subjects are presented: the climatic change, acidification and eutrophication, tropospheric ozone and air quality. (N.C.)

  16. Accounting for spatial effects in land use regression for urban air pollution modeling.

    Science.gov (United States)

    Bertazzon, Stefania; Johnson, Markey; Eccles, Kristin; Kaplan, Gilaad G

    2015-01-01

    In order to accurately assess air pollution risks, health studies require spatially resolved pollution concentrations. Land-use regression (LUR) models estimate ambient concentrations at a fine spatial scale. However, spatial effects such as spatial non-stationarity and spatial autocorrelation can reduce the accuracy of LUR estimates by increasing regression errors and uncertainty; and statistical methods for resolving these effects--e.g., spatially autoregressive (SAR) and geographically weighted regression (GWR) models--may be difficult to apply simultaneously. We used an alternate approach to address spatial non-stationarity and spatial autocorrelation in LUR models for nitrogen dioxide. Traditional models were re-specified to include a variable capturing wind speed and direction, and re-fit as GWR models. Mean R(2) values for the resulting GWR-wind models (summer: 0.86, winter: 0.73) showed a 10-20% improvement over traditional LUR models. GWR-wind models effectively addressed both spatial effects and produced meaningful predictive models. These results suggest a useful method for improving spatially explicit models. PMID:26530819

  17. A new approximate matrix factorization for implicit time integration in air pollution modeling

    OpenAIRE

    Botchev, M.A.; Verwer, J.G.

    2003-01-01

    Implicit time stepping typically requires solution of one or several linear systems with a matrix I−τJ per time step where J is the Jacobian matrix. If solution of these systems is expensive, replacing I−τJ with its approximate matrix factorization (AMF) (I−τR)(I−τV), R+V=J, often leads to a good compromise between stability and accuracy of the time integration on the one hand and its efficiency on the other hand. For example, in air pollution modeling, AMF has been successfully used in the f...

  18. Dynamic Modeling of Kosovo's Electricity Supply-Demand, Gaseous Emissions and Air Pollution

    Directory of Open Access Journals (Sweden)

    Sadik Bekteshi

    2015-09-01

    Full Text Available In this paper is described the developing of an integrated electricity supply–demand, gaseous emission and air pollution model for study of possible baseline electricity developments and available options to mitigate emissions. This model is constructed in STELLA software, which makes use of Systems Dynamics Modeling as the methodology. Several baseline scenarios have been developed from this model and a set of options of possible developments of Kosovo's Electricity Supply–Demand and Gaseous Emissions are investigated. The analysis of various scenarios results in medium growth scenarios (MGS that imply building of generation capacities and increase in participation of the electricity generation from renewable sources. MGS would be 10% of the total electricity generation and ensure sustainable development of the electricity sector. At the same time, by implementation of new technologies, this would be accompanied by reduced GHG (CO2 and NOx emissions by 60% and significant reduction for air pollutants (dust and SO2 by 40% compared to the business-as-usual (BAU case. Conclusively, obtained results show that building of new generation capacities by introducing new technologies and orientation on environmentally friendly energy sources can ensure sustainable development of the electricity sector in Kosovo.  

  19. Monitoring urban transport air pollution and energy demand in Rawalpindi and Islamabad using leap model

    Energy Technology Data Exchange (ETDEWEB)

    Shabbir, Rabia; Ahmad, Sheikh Saeed [Department of Environmental Sciences, Fatima Jinnah Women University, Rawalpindi (Pakistan)

    2010-05-15

    A research associated with urban transportation was carried out in Rawalpindi and Islamabad to analyze the status of emission of air pollutants and energy demands. The study included a discussion of past trends and future scenarios in order to reduce the future emissions. A simple model of passenger transport has been developed using computer based software called Long-Range Energy Alternatives Planning System (LEAP). The LEAP model was used to estimate total energy demand and the vehicular emissions for the base year 2000 and extrapolated till 2030 for the future predictions. Transport database in Rawalpindi and Islamabad, together with fuel consumption values for the vehicle types and emission factors of NO{sub x}, SO{sub 2} and PM{sub 10} corresponding to the actual vehicle types, formed the basis of the transport demand, energy consumption and total emission calculations. Apart from base scenario, the model was run under three alternative scenarios to study the impact of different urban transport policy initiatives that would reduce energy demand and emissions in transport sector of Rawalpindi and Islamabad. The prime objective was to arrive at an optimal transport policy, which limits the future growth of fuel consumption as well as air pollution. (author)

  20. Air pollution: Impact and prevention

    OpenAIRE

    SIERRA-VARGAS, MARTHA PATRICIA; Teran, Luis M.

    2012-01-01

    ABSTRACT Air pollution is becoming a major health problem that affects millions of people worldwide. In support of this observation, the World Health Organization estimates that every year, 2.4 million people die because of the effects of air pollution on health. Mitigation strategies such as changes in diesel engine technology could result in fewer premature mortalities, as suggested by the US Environmental Protection Agency. This review: (i) discusses the impact of air pollution on respirat...

  1. Modelling transboundary air pollution in Southeast Asia: policy regime and the role of stakeholders

    OpenAIRE

    Asif Iqbal Siddiqui; Euston Quah

    2004-01-01

    Transboundary air pollution, popularly known as the 'haze', is a recent but significant environmental crisis in Southeast Asia, and is primarily the result of Indonesian forest fires. We identify that the fundamental motivation behind the practice of clearing forestland with fire by the polluters is economic in nature. We then argue that the major victims of the forest fires and haze are likely to play a vital role in the solution of the problem, at least by motivating the polluters, even if ...

  2. Hybrid Air Quality Modeling Approach For Use in the Near-Road Exposures to Urban Air Pollutant Study (NEXUS)

    Science.gov (United States)

    The Near-road EXposures to Urban air pollutant Study (NEXUS) investigated whether children with asthma living in close proximity to major roadways in Detroit, MI, (particularly near roadways with high diesel traffic) have greater health impacts associated with exposure to air pol...

  3. Analysis of the experimental data of air pollution using atmospheric dispersion modeling and rough set

    International Nuclear Information System (INIS)

    This thesis contains four chapters and list of references:In chapter 1, we introduce a brief survey about the atmospheric concepts and the topological methods for data analysis.In section 1.1, we give introduce a general introduction. We recall some of atmospheric fundamentals in Section 1.2. Section 1.3, shows the concepts of modern topological methods for data analysis.In chapter 2, we have studied the properties of atmosphere and focus on concept of Rough set and its properties. This concepts of rough set has been applied to analyze the atmospheric data.In section 2.1, we introduce a general introduction about concept of rough set and properties of atmosphere. Section 2.2 focuses on the concept of rough set and its properties and generalization of approximation of rough set theory by using topological space. In section 2.3 we have studied the stabilities of atmosphere for Inshas location for all seasons using different schemes and compared these schemes using statistical and rough set methods. In section 2.4, we introduce mixing height of plume for all seasons. Section 2.5 introduced seasonal surface layer turbulence processes for Inshas location. Section 2.6 gives a comparison between the seasonal surface layer turbulence processes for Inshas location and for different locations using rough set theory.In chapter 3 we focus on the concept of variable precision rough set (VPRS) and its properties and using it to compare, between the estimated and observed data of the concentration of air pollution for Inshas location. In Section 3.1 we introduce a general introduction about VPRS and air pollution. In Section 3.2 we have focused on the concept and properties of VPRS. In Section 3.3 we have introduced a method to estimate the concentration of air pollution for Inshas location using Gaussian plume model. Section 3.4 has showed the experimental data. The estimated data have been compared with the observed data using statistical methods in Section 3.5. In Section 3

  4. Method for Fusing Observational Data and Chemical Transport Model Simulations To Estimate Spatiotemporally Resolved Ambient Air Pollution.

    Science.gov (United States)

    Friberg, Mariel D; Zhai, Xinxin; Holmes, Heather A; Chang, Howard H; Strickland, Matthew J; Sarnat, Stefanie Ebelt; Tolbert, Paige E; Russell, Armistead G; Mulholland, James A

    2016-04-01

    Investigations of ambient air pollution health effects rely on complete and accurate spatiotemporal air pollutant estimates. Three methods are developed for fusing ambient monitor measurements and 12 km resolution chemical transport model (CMAQ) simulations to estimate daily air pollutant concentrations across Georgia. Temporal variance is determined by observations in one method, with the annual mean CMAQ field providing spatial structure. A second method involves scaling daily CMAQ simulated fields using mean observations to reduce bias. Finally, a weighted average of these results based on prediction of temporal variance provides optimized daily estimates for each 12 × 12 km grid. These methods were applied to daily metrics of 12 pollutants (CO, NO2, NOx, O3, SO2, PM10, PM2.5, and five PM2.5 components) over the state of Georgia for a seven-year period (2002-2008). Cross-validation demonstrates a wide range in optimized model performance across pollutants, with SO2 predicted most poorly due to limitations in coal combustion plume monitoring and modeling. For the other pollutants studied, 54-88% of the spatiotemporal variance (Pearson R(2) from cross-validation) was captured, with ozone and PM2.5 predicted best. The optimized fusion approach developed provides daily spatial field estimates of air pollutant concentrations and uncertainties that are consistent with observations, emissions, and meteorology. PMID:26923334

  5. Regional air pollution over Malaysia

    Science.gov (United States)

    Krysztofiak, G.; Catoire, V.; Dorf, M.; Grossmann, K.; Hamer, P. D.; Marécal, V.; Reiter, A.; Schlager, H.; Eckhardt, S.; Jurkat, T.; Oram, D.; Quack, B.; Atlas, E.; Pfeilsticker, K.

    2012-12-01

    During the SHIVA (Stratospheric Ozone: Halogen Impacts in a Varying Atmosphere) campaign in Nov. and Dec. 2011 a number of polluted air masses were observed in the marine and terrestrial boundary layer (0 - 2 km) and in the free troposphere (2 - 12 km) over Borneo/Malaysia. The measurements include isoprene, CO, CO2, CH4, N2O, NO2, SO2 as primary pollutants, O3 and HCHO as secondary pollutants, and meteorological parameters. This set of trace gases can be used to fingerprint different sources of local and regional air pollution (e.g., biomass burning and fossil fuel burning, gas flaring on oil rigs, emission of ships and from urban areas, volcanic emissions, and biogenic emissions). Individual sources and location can be identified when the measurements are combined with a nested-grid regional scale chemical and meteorological model and lagrangian particle dispersion model (e.g., CCATT-BRAMS and FLEXPART). In the case of the former, emission inventories of the primary pollutants provide the basis for the trace gas simulations. In this region, the anthropogenic influence on air pollution seems to dominate over natural causes. For example, CO2 and CH4 often show strong correlations with CO, suggesting biomass burning or urban fossil fuel combustion dominates the combustion sources. The study of the CO/CO2 and CH4/CO ratios can help separate anthropogenic combustion from biomass burning pollution sources. In addition, these ratios can be used as a measure of combustion efficiency to help place the type of biomass burning particular to this region within the wider context of fire types found globally. On several occasions, CH4 enhancements are observed near the ocean surface, which are not directly correlated with CO enhancements thus indicating a non-combustion-related CH4 source. Positive correlations between SO2 and CO show the anthropogenic influence of oil rigs located in the South China Sea. Furthermore, SO2 enhancements are observed without any increase in CO

  6. Simulation of air pollution with nested models in North Rhine-Westphalia

    International Nuclear Information System (INIS)

    High resolution modeling of air pollution events requires nested models. CARLOS is a combination of two comprehensive air quality simulation models that calculate chemistry and transport on regional and local scales. Both models apply nesting techniques to describe the influx of tracers into the inner highly resolved modeling domain. High resolution emission inventories are available for the innermost nest on the large scale, which allow the separate treatment of traffic and point sources. Results of a simulation for North Rhine-Westphalia in August 1997 are presented for two nesting levels, increasing the resolution from 27km in Central Europe to 3km in the domain of the second nest. One result is also presented for the local scale employing two nesting levels with a resolution of 1km and 333m, respectively. Statistical indices are used to indicate the quality of the predictions of ozone. Comparison of observations at the stations Koeln-Chorweiler and Wuppertal with modeled concentrations shows good agreement of ozone and reasonable reproduction of NO2 concentrations. (Author)

  7. Ozone as an air pollutant

    DEFF Research Database (Denmark)

    Berg, Rolf W.

    1996-01-01

    A Danish new book on ozone as an air pollutant has been reviewed. The Book is "Ozon som luftforurening" by Jes Fenger, Published by "Danmarks Miljøundersøgelser, 1995.......A Danish new book on ozone as an air pollutant has been reviewed. The Book is "Ozon som luftforurening" by Jes Fenger, Published by "Danmarks Miljøundersøgelser, 1995....

  8. A Geographic Approach to Modelling Human Exposure to Traffic Air Pollution using GIS

    DEFF Research Database (Denmark)

    Jensen, S. S.

    ; population data on gender and age from the Central Population Register (CPR); the number of employees from the Central Business Register (CER); standardised time-activity profiles for the different age groups in the residence and workplace microenvironments; and meteorological parameters (hourly). The......A new exposure model has been developed that is based on a physical, single media (air) and single source (traffic) microenvironmental approach that estimates traffic related exposures geographically with the postal address as exposure indicator. The microenvironments: residence, workplace and......) for generation of inputs, for visualisation of input and output, and uses available digital maps, national administrative registers and a local traffic database, and the Danish Operational Street Pollution Model (OSPM). The Municipality of Middelfart has been used as a case study area to develop and...

  9. Integrated monitoring and assessment of air pollution

    Energy Technology Data Exchange (ETDEWEB)

    Hertel, O.

    2009-09-15

    Improved quality, better understanding of processes and optimisation of allocated resources, these are the main advantages of applying Integrated Monitoring and Assessment (IMA) in air quality management. The IMA is defined as the combined use of measurements and model calculations. The use of IMA is demonstrated with examples with different aims: to obtain data for air pollution in urban streets, to assess human exposure to traffic air pollution, and to assess atmospheric deposition of nitrogen compounds to marine and terrestrial ecosystems. (author)

  10. User's guide to the LIRAQ model: an air pollution model for the San Francisco Bay Area

    International Nuclear Information System (INIS)

    The Livermore Regional Air Quality (LIRAQ) model comprises a set of computer programs that have been integrated into an easily used tool for the air quality planner. To assemble and modify the necessary data files and to direct model execution, a problem formulation program has been developed that makes possible the setup of a wide variety of studies involving perturbation of the emission inventory, changes to the initial and boundary conditions, and different choices of grid size and problem domain. In addition to describing the types of air quality problems for which the LIRAQ model may be used, this User's Guide provides detailed information on how to set up and conduct model simulations. Also included are descriptions of the formats of input data files so that the LIRAQ model may be applied to regions other than the San Francisco Bay Area

  11. Air pollution dispersion within urban street canyons

    Science.gov (United States)

    Taseiko, Olga V.; Mikhailuta, Sergey V.; Pitt, Anne; Lezhenin, Anatoly A.; Zakharov, Yuri V.

    A semi-empirical mathematical model, Urban Street Model (USM), is proposed to efficiently estimate the dispersion of vehicular air pollution in cities. This model describes urban building arrangements by combining building density, building heights and the permeability of building arrangements relative to wind flow. To estimate the level of air pollution in the city of Krasnoyarsk (in Eastern Siberia), the spatial distribution of pollutant concentrations off roadways is calculated using Markov's processes in USM. The USM-predicted numerical results were compared with field measurements and with results obtained from other frequently used models, CALINE-4 and OSPM. USM consistently yielded the best results. OSPM usually overestimated pollutant concentration values. CALINE-4 consistently underestimated these values. For OSPM, the maximum differences were 160% and for CALINE-4 about 400%. Permeability and building density are necessary parameters for accurately modeling urban air pollution and influencing regulatory requirements for building planning.

  12. Modeled effects of an improved building insulation scenario in Europe on air pollution, health and societal costs

    DEFF Research Database (Denmark)

    Bønløkke, Jakob Hjort; Holst, Gitte Juel; Sigsgaard, Torben;

    2015-01-01

    insulation scenario in Europe would have substantial benefits on health through improvements in air pollution. Health effects and societal cost savings may significantly counterbalance investment costs and should be taken into account when evaluating strategies for mitigation of global warming....... the resulting effects on health and economy. Methods: Projected energy savings between 2005 and 2020 were calculated for an improved building insulation scenario and a business as usual scenario. The resulting changes in emissions (e.g. from power plants) were used in the Comprehensive Air......-Quality Model with extensions. Mean annual changes in the main air pollutants were derived for each country. World Health Organization (WHO) and European Union (EU) data on populations and on impacts of pollutants were used to derive health effects and costs. Effects on indoor air quality were not assessed...

  13. Atmospheric Chemistry and Air Pollution

    OpenAIRE

    Gaffney, Jeffrey S.; Marley, Nancy A.

    2003-01-01

    Atmospheric chemistry is an important discipline for understanding air pollution and its impacts. This mini-review gives a brief history of air pollution and presents an overview of some of the basic photochemistry involved in the production of ozone and other oxidants in the atmosphere. Urban air quality issues are reviewed with a specific focus on ozone and other oxidants, primary and secondary aerosols, alternative fuels, and the potential for chlorine releases to amplify oxidant chemistry...

  14. Air Pollution and Lung Function in Dutch Children: A Comparison of Exposure Estimates and Associations Based on Land Use Regression and Dispersion Exposure Modeling Approaches

    OpenAIRE

    Wang, Meng; Gehring, Ulrike; Hoek, Gerard; Keuken, Menno; Jonkers, Sander; Beelen, Rob; Eeftens, Marloes; Dirkje S Postma; Brunekreef, Bert

    2015-01-01

    Background There is limited knowledge about the extent to which estimates of air pollution effects on health are affected by the choice for a specific exposure model. Objectives We aimed to evaluate the correlation between long-term air pollution exposure estimates using two commonly used exposure modeling techniques [dispersion and land use regression (LUR) models] and, in addition, to compare the estimates of the association between long-term exposure to air pollution and lung function in c...

  15. Meso-scale modeling of air pollution transport/chemistry/deposition and its application

    International Nuclear Information System (INIS)

    Transport/chemistry/deposition model for atmospheric trace chemical species is now regarded as an important tool for an understanding of the effects of various human activities, such as fuel combustion and deforestation, on human health, eco-system, and climate and for planning of appropriate control of emission sources. Several 'comprehensive' models have been proposed such as RADM (Chang, et al., 1987), STEM-II (Carmichael, et al., 1986), and CMAQ (Community Multi-scale Air Quality model, e.g., EPA website, 2003); the 'comprehensive' models include not only gas/aerosol phase chemistry but also aqueous phase chemistry in cloud/rain water in addition to the processes of advection, diffusion, wet deposition (mass transfer between aqueous and gas/aerosol phases), and dry deposition. The target of the development of the 'comprehensive' model will be that the model can correctly reproduce mass balance of various chemical species in the atmosphere with keeping adequate accuracy for calculated concentration distributions of chemical species. For the purpose, one of the important problems is a reliable wet deposition modeling, and here, we introduce two types of methods of 'cloud-resolving' and 'non-cloud-resolving' modeling for the wet deposition of pollutants. (author)

  16. Considering a point-source in a regional air pollution model; Prise en compte d`une source ponctuelle dans un modele regional de pollution atmospherique

    Energy Technology Data Exchange (ETDEWEB)

    Lipphardt, M.

    1997-06-19

    This thesis deals with the development and validation of a point-source plume model, with the aim to refine the representation of intensive point-source emissions in regional-scale air quality models. The plume is modelled at four levels of increasing complexity, from a modified Gaussian plume model to the Freiberg and Lusis ring model. Plume elevation is determined by Netterville`s plume rise model, using turbulence and atmospheric stability parameters. A model for the effect of a fine-scale turbulence on the mean concentrations in the plume is developed and integrated in the ring model. A comparison between results with and without considering micro-mixing shows the importance of this effect in a chemically reactive plume. The plume model is integrated into the Eulerian transport/chemistry model AIRQUAL, using an interface between Airqual and the sub-model, and interactions between the two scales are described. A simulation of an air pollution episode over Paris is carried out, showing that the utilization of such a sub-scale model improves the accuracy of the air quality model

  17. Simulation and empirical modeling of a Design of Cyclonic separator to combat air pollution

    OpenAIRE

    P. SYEDA ARSHI BANU; P. SYEDA NOORI BANU,

    2011-01-01

    In all the countries, the cause of air pollution are several, one of the major contributing factors being automobiles’ exhaust. Today, there are millions of vehicles allover the world. There has been a rapid increase in vehicle numbers in the world. The import of technologies and transport policy we pursued, are the most important reasons for this development. The main pollutant from internal combustion engines are carbondioxide(CO2), unburned hydrocarbons(UHC), oxides if nitrogen(NOX), lead ...

  18. Operational Street Pollution Model (OSPM)

    DEFF Research Database (Denmark)

    Kakosimos, k.E.; Hertel, Ole; Ketzel, Matthias;

    2010-01-01

    Environmental context Trafficked streets are air pollution hot spots where people experience high exposure to hazardous pollutants. Although monitoring networks provide crucial information about measured pollutant levels, the measurements are resource demanding and thus can be performed at only few...... selected sites. Fast and easily applied street pollution models are therefore necessary tools to provide information about the loadings in streets without measurement activities. We evaluate the Operational Street Pollution Model, one of the most commonly applied models in air pollution management and...... research worldwide. Abstract Traffic emissions constitute a major source of health hazardous air pollution in urban areas. Models describing pollutant levels in urban streets are thus important tools in air pollution management as a supplement to measurements in routine monitoring programmes. A widely used...

  19. Assessment of externalities related to global and local air pollutants with the NEEDS-TIMES Italy model

    Energy Technology Data Exchange (ETDEWEB)

    Pietrapertosa, F.; Cosmi, C.; Loperte, S.; Salvia, M.; Cuomo, V. [National Research Council, Institute of Methodologies for Environmental Analysis, C.da S. Loja, I-85050 Tito Scalo (PZ) (Italy); Di Leo, S. [University of Basilicata, Dept. of Environmental Engineering and Physics, C.da Macchia Romana, I-85100 Potenza (Italy); Macchiato, M. [Federico II University, Dept. of Physical Sciences, Via Cintia, I-80126 Naples (Italy)

    2010-01-15

    This work is aimed to illustrate the potentiality of the multi-region NEEDS-TIMES modelling platform, in the economic evaluation of the environmental damages due to air pollution. In particular the effects of external costs on the least-cost optimised energy system configuration were analysed in a national case study with the NEEDS-TIMES Italy model, considering the externalities related to local and global air pollutants (NO{sub x}, SO{sub 2}, VOC, particulates and GHGs). Different scenarios were compared to emphasise the role of external costs in the achievement of strategic environmental targets. The main results obtained are discussed, focusing on the changes in energy fuel mix as well as in local air pollutants and GHG emissions, highlighting the main conclusions in terms of policy strategies. (author)

  20. Assessment of externalities related to global and local air pollutants with the NEEDS-TIMES Italy model

    International Nuclear Information System (INIS)

    This work is aimed to illustrate the potentiality of the multi-region NEEDS-TIMES modelling platform, in the economic evaluation of the environmental damages due to air pollution. In particular the effects of external costs on the least-cost optimised energy system configuration were analysed in a national case study with the NEEDS-TIMES Italy model, considering the externalities related to local and global air pollutants (NOx, SO2, VOC, particulates and GHGs). Different scenarios were compared to emphasise the role of external costs in the achievement of strategic environmental targets. The main results obtained are discussed, focusing on the changes in energy fuel mix as well as in local air pollutants and GHG emissions, highlighting the main conclusions in terms of policy strategies. (author)

  1. Atmospheric Chemistry and Air Pollution

    Directory of Open Access Journals (Sweden)

    Jeffrey S. Gaffney

    2003-01-01

    Full Text Available Atmospheric chemistry is an important discipline for understanding air pollution and its impacts. This mini-review gives a brief history of air pollution and presents an overview of some of the basic photochemistry involved in the production of ozone and other oxidants in the atmosphere. Urban air quality issues are reviewed with a specific focus on ozone and other oxidants, primary and secondary aerosols, alternative fuels, and the potential for chlorine releases to amplify oxidant chemistry in industrial areas. Regional air pollution issues such as acid rain, long-range transport of aerosols and visibility loss, and the connections of aerosols to ozone and peroxyacetyl nitrate chemistry are examined. Finally, the potential impacts of air pollutants on the global-scale radiative balances of gases and aerosols are discussed briefly.

  2. Estimation of atmospheric dilution factors for Trombay site using the air pollution model

    International Nuclear Information System (INIS)

    This paper presents the application of The Air Pollution Model (TAPM) in estimation of atmospheric dilution factors for Trombay site for unit release rate in different wind sectors. The values obtained from the model are compared with those obtained from routinely collected meteorological data at 10 m height. The measurement carried out at 10 m height is extrapolated to the release height using power laws with stability-dependent coefficient. The maximum value of dilution factor at 1.6 km, computed using model data is 0.1039E-06 s/m3 while that obtained using measured data is 0.1238E-06 s/m3 however, the two are occurring in different sectors. Thus, model-generated dilution factors can be used in case if only the maximum impact of the releases need to be studied and no measured data are available. In general, it was found that except few sectors, model-generated dilution factors remain within a factor of two as compared to that generated using measured data. The main application of this study is for upcoming sites where representative measured meteorological data may not be available; however, computation of atmospheric dilution factors is required for environmental impact assessment. (author)

  3. Modeling of photochemical air pollution in the Barcelona area with highly disaggregated anthropogenic and biogenic emissions

    International Nuclear Information System (INIS)

    The city of Barcelona and its surrounding area, located in the western Mediterranean basin, can reach high levels of O3 in spring and summertime. To study the origin of this photochemical pollution, a numerical modeling approach was adopted and the episode that took place between 3 and 5 August 1990 was chosen. The main meteorological mesoscale flows were reproduced with the meteorological non-hydrostatic mesoscale model MEMO for 5 August 1990, when weak pressure synoptic conditions took place. The emissions inventory was calculated with the EIM-LEM model, giving highly disaggregated anthropogenic and biogenic emissions in the zone studied, an 80 x 80 km2 area around the city of Barcelona. Major sources of VOC were road traffic (51%) and vegetation (34%), while NOx were mostly emitted by road traffic (88%). However, emissions from some industrial stacks can be locally important and higher than those from road traffic. Photochemical simulation with the MARS model revealed that the combination of mesoscale wind flows and the above-mentioned local emissions is crucial in the production and transport of O3 in the area. On the other hand, the geostrophic wind also played an important role in advecting the air masses away from the places O3 had been generated. The model simulations were also evaluated by comparing meteorological measurements from nine surface stations and concentration measurements from five surface stations, and the results proved to be fairly satisfactory. (author)

  4. Air pollution exposure estimation using dispersion modelling and continuous monitoring data in a prospective birth cohort study in the Netherlands

    Directory of Open Access Journals (Sweden)

    Van den Hooven Edith H

    2012-02-01

    Full Text Available Abstract Previous studies suggest that pregnant women and children are particularly vulnerable to the adverse effects of air pollution. A prospective cohort study in pregnant women and their children enables identification of the specific effects and critical periods. This paper describes the design of air pollution exposure assessment for participants of the Generation R Study, a population-based prospective cohort study from early pregnancy onwards in 9778 women in the Netherlands. Individual exposures to PM10 and NO2 levels at the home address were estimated for mothers and children, using a combination of advanced dispersion modelling and continuous monitoring data, taking into account the spatial and temporal variation in air pollution concentrations. Full residential history was considered. We observed substantial spatial and temporal variation in air pollution exposure levels. The Generation R Study provides unique possibilities to examine effects of short- and long-term air pollution exposure on various maternal and childhood outcomes and to identify potential critical windows of exposure.

  5. Can air pollutant controls change global warming?

    International Nuclear Information System (INIS)

    Highlights: • Air pollution policies do not affect long-term climate targets. • Reduction of aerosols counteracts a fraction of the reduction of Kyoto forcing. • Air pollution policies may affect the rate of climate change in the short term. • There is no tradeoff between clean air and climate policies. - Abstract: In this paper we analyze the interaction between climate and air pollution policies using the integrated assessment model REMIND coupled to the reduced-form climate model MAGICC. Since overall, aerosols tend to cool the atmosphere, there is a concern that a reduction of pollutant emissions could accelerate global warming and offset the climate benefits of carbon dioxide emission reductions. We investigate scenarios which independently reduce emissions from either large-scale sources, such as power plants, or small-scale sources, such as cooking and heating stoves. Large-scale sources are likely to be easier to control, but their aerosol emissions are characterized by a relatively high sulfur content, which tends to result in atmospheric cooling. Pollution from small-scale sources, by contrast, is characterized by a high share of carbonaceous aerosol, which is an important contributor to global warming. We find that air pollution policies can significantly reduce aerosol emissions when no climate policies are in place. Stringent climate policies lead to a large reduction of fossil fuel use, and therefore result in a concurrent reduction of air pollutant emissions. These reductions partly reduce aerosol masking, thus initially counteracting the reduction of greenhouse gas forcing, however not overcompensating it. If climate policies are in place, air pollution policies have almost no impacts on medium- and long-term radiative forcing. Therefore there is no conflict of objectives between clean air and limiting global warming. We find that the stringency of air pollution policies may influence the rate of global temperature change in the first decade

  6. Apportionment of air pollution sources by receptor models in Hong Kong

    Science.gov (United States)

    Fung, Y. S.; Wong, L. W. Y.

    The application of a receptor modelling method for the apportionment of air pollution sources in a highly urbanised area has been investigated using trace metals as marker elements in air particulates sampled at five stations in New Territories in Hong Kong. The elemental profile of the coal used for burning, the fly ash obtained after the electrostatic precipitator and the ambient particulates collected at the five sampling sites were determined. The variability is found to be substantial and necessitates the use of factor analysis to identify the source prior to regression analysis for apportionment of the contribution of the various factors identified. Six factors are successfully isolated and their sources identified. Despite a negative loading of the sea aerosol, the mass contributions of other major sources (mg m -3) are estimated as construction work (6.48), automobile/incineration (1.93), wind-blown dust (7.14), coal-fired power plant (4.92) and oil combustion sources (8.15). The use of particle fractionation was found able to resolve earthy and non-natural material, especially at the fine particulate end, and thus provides a method to solve the negative scaling problem encountered during the regression analysis.

  7. Air quality over Europe: modeling gaseous and particulate pollutants and the effect of precursor emissions

    Directory of Open Access Journals (Sweden)

    E. Tagaris

    2013-03-01

    Full Text Available Air quality over Europe using Models-3 (i.e. CMAQ, MM5, SMOKE modeling system is performed for winter (i.e. January, 2006 and summer (i.e. July, 2006 months with the 2006 TNO gridded anthropogenic emissions database. Higher ozone concentrations are illustrated in southern Europe while higher NO2 concentrations are simulated over western Europe. Elevated SO2 concentrations are simulated over eastern Europe while elevated PM2.5 levels are simulated over eastern and western Europe. Results suggest that NO2 and PM2.5 are underpredicted, SO2 is overpredicted while Max8hrO3 is overpredicted for low concentrations and is underpredicted for the higher ones. Speciated PM2.5 components suggest that NO3 is dominant during winter in western Europe and in a few eastern countries due to the high NO2 concentrations. During summer NO3 is dominant only in regions with elevated NH3 emissions. For the rest of the domain SO4 is dominant. Low OC concentrations are simulated mainly due to the uncertain representation of SOA formation. The difference between observed and predicted concentrations for each country is assessed for the gaseous and particulate pollutants. The simultaneous precursor emissions change applying scaling factors on NOx, SO2 and PM2.5 emissions based on the observed/predicted ratio for each country seems to statistically enhance model performance (in gaseous pollutants the improvement in root mean square is up to 5.6 ppbV, in the index of agreement is up to 0.3 and in the mean absolute error is up to 4.2 ppbV while the related values in PM2.5 are 4.5 μg m−3, 0.2 and 3.5 μg m−3, respectively.

  8. Geochemical modeling of leaching from MSVI air-pollution-control residues

    DEFF Research Database (Denmark)

    Astrup, Thomas; Dijkstra, J.J.; Comans, R.N.J.; van der Sloot, H.; Christensen, Thomas Højlund

    2006-01-01

    This paper provides an improved understanding of the leaching behavior of waste incineration air-pollution-control (APC) residues in a long-term perspective. Leaching was investigated by a series of batch experiments reflecting leaching conditions after initial washout of highly soluble salts from...

  9. Global source identification of arctic air pollution using statistical analysis of particle dispersion model output and measurement data

    International Nuclear Information System (INIS)

    Full text: Arctic air pollution has received renewed interest recently because of its contribution to climate change in the arctic. Nevertheless, its sources are still not known with sufficient accuracy. Most of our understanding of artic air pollution sources is based on model simulations, analysis of air pollution episodes or, at best, statistical analysis of air mass back-trajectories. We present a new approach, namely combining the output of a Lagrangian particle dispersion model, FLEXPART, with measurement data from Arctic air pollution monitoring sites (Alert, Barrow, Zeppelin). This approach is similar to existing statistical methods for analyzing back-trajectories in conjunction with air pollution monitoring data. However, it has the advantage that the underlying model calculations also take into account turbulence and convection in the atmosphere, which are ignored by ordinary trajectory calculations. FLEXPART is run 20 days backward in time from each of the stations and every three hours, for several years. With every calculation, a so-called potential emission sensitivity (PES) field is obtained, which identifies where the measured air mass has come into contact with the Earth's surface. It quantitatively measures the sensitivity of the signal obtained at the station, to emissions occurring at or near the surface. By combining these PES fields with measured concentrations of several trace species and performing a statistical analysis, we identify where the measured species originate. Statistical analyses are performed both for average concentrations as well as the 10th and 90th percentiles of the measured frequency distribution. We show results for black carbon (BC), carbon monoxide (CO) and ozone (O3) for every station individually as well as by combining data from all stations, both yearly and for different seasons of the year. We find strong differences in source regions between the 10th and 90th percentiles, in particular for CO. (author)

  10. The Relationship between Odour Annoyance Scores and Modelled Ambient Air Pollution in Sarnia, “Chemical Valley”, Ontario

    Directory of Open Access Journals (Sweden)

    Dominic Odwa Atari

    2009-10-01

    Full Text Available This study aimed at establishing the relationship between annoyance scores and modelled air pollution in “Chemical Valley”, Sarnia, Ontario (Canada. Annoyance scores were taken from a community health survey (N = 774; and respondents’ exposure to nitrogen dioxide (NO2 and sulphur dioxide (SO2 were estimated using land use regression (LUR models. The associations were examined by univariate analysis while multivariate logistic regression was used to examine the determinants of odour annoyance. The results showed that odour annoyance was significantly correlated to modelled pollutants at the individual (NO2, r = 0.15; SO2, r = 0.13 and census tract (NO2, r = 0.56; SO2, r = 0.67 levels. The exposure-response relationships show that residents of Sarnia react to very low pollution concentrations levels even if they are within the Ontario ambient air quality criteria. The study found that exposure to high NO2 and SO2 concentrations, gender, and perception of health effects were significant determinants of individual odour annoyance reporting. The observed association between odour annoyance and modelled ambient pollution suggest that individual and census tract level annoyance scores may serve as proxies for air quality in exposed communities because they capture the within area spatial variability of pollution. However, questionnaire-based odour annoyance scores need to be validated longitudinally and across different scales if they are to be adopted for use at the national level.

  11. Air Pollution and the skin

    Directory of Open Access Journals (Sweden)

    Eleni eDrakaki

    2014-05-01

    Full Text Available The increase of air pollution over the years has major effects on the human skin. The skin is exposed to ultraviolet radiation (UVR and environmental air pollutants such as polycyclic aromatic hydrocarbons (PAHs, volatile organic compounds (VOCs, oxides, particulate matter (PM, ozone (O3 and cigarette smoke. Although human skin acts as a biological shield against pro-oxidative chemical and physical air pollutants, the prolonged or repetitive exposure to high levels of these pollutants may have profound negative effects on the skin. Exposure of the skin to air pollutants has been associated with skin aging and inflammatory or allergic skin conditions such as atopic dermatitis, eczema, psoriasis or acne, while skin cancer is among the most serious effects. On the other hand, some air pollutants (ie, ozone, nitrogen dioxide, and sulfur dioxide and scattering particulates (clouds and soot in the troposphere reduce the effects of shorter wavelength UVR and significant reductions in UV irradiance have been observed in polluted urban areas.

  12. Modeling of Air Pollutant Removal by Urban Trees Using a WRF/CMAQ/i-Tree Coupled System

    Science.gov (United States)

    Kroll, C.; Isla-Cabaraban, M.; Nowak, D.; Hirabayashi, S.; Endreny, T. A.

    2011-12-01

    The quantification of the effects of changes in land cover on the concentrations and depositions of air pollutants is crucial in the assessment of the potential impacts of urban tree planting schemes on air quality. Planting trees in urban areas can assist in the reduction of air pollutant concentrations and exposure risks. Techniques to calculate dry deposition to vegetation include the use transport and deposition models. A coupled modeling system that integrates the capabilities of meteorological, air quality, and urban dry deposition models to calculate dry deposition fluxes of nitrogen dioxide (NO2) has been developed and applied to Baltimore, MD. The system couples outputs from NOAA's mesoscale Weather Research and Forecasting (WRF) meteorological model, the EPA's Community Multiscale Air Quality (CMAQ) model, and a grid-based version of the dry deposition module of the USDA Forest Service's Urban Forest Effects model (i-Tree Landscape), which is being implemented in the new online i-Tree suite of tools. In this coupled system, WRF is used to create meteorological fields, CMAQ is used to estimate ambient air pollutant concentrations, and i-Tree Landscape is used to estimate dry deposition fluxes across an urban grid with a 500 m horizontal resolution. Tradeoffs between model complexity and model performance are examined to quantify the impact of employing simplified models to determine the impact of trees on urban air pollutants. Initial outputs from the modeling system for a period in July 2005 are compared with air temperatures and NO2 measurements at monitoring stations in downtown Baltimore. Although cold temperature biases were found, WRF simulation results show good agreement with air temperature observations during this period. CMAQ underestimates hourly NO2 concentrations but captures temporal variations. The normalized mean bias for hourly NO2 falls within the generally accepted range of -20% to -50%. Initial results show the benefits of utilizing

  13. Pigeons home faster through polluted air

    OpenAIRE

    Zhongqiu Li; Franck Courchamp; Blumstein, Daniel T.

    2016-01-01

    Air pollution, especially haze pollution, is creating health issues for both humans and other animals. However, remarkably little is known about how animals behaviourally respond to air pollution. We used multiple linear regression to analyse 415 pigeon races in the North China Plain, an area with considerable air pollution, and found that while the proportion of pigeons successfully homed was not influenced by air pollution, pigeons homed faster when the air was especially polluted. Our resu...

  14. Comparison of Land-Use Regression Modeling with Dispersion and Chemistry Transport Modeling to Assign Air Pollution Concentrations within the Ruhr Area

    Directory of Open Access Journals (Sweden)

    Frauke Hennig

    2016-03-01

    Full Text Available Two commonly used models to assess air pollution concentration for investigating health effects of air pollution in epidemiological studies are Land Use Regression (LUR models and Dispersion and Chemistry Transport Models (DCTM. Both modeling approaches have been applied in the Ruhr area, Germany, a location where multiple cohort studies are being conducted. Application of these different modelling approaches leads to differences in exposure estimation and interpretation due to the specific characteristics of each model. We aimed to compare both model approaches by means of their respective aims, modeling characteristics, validation, temporal and spatial resolution, and agreement of residential exposure estimation, referring to the air pollutants PM2.5, PM10, and NO2. Residential exposure referred to air pollution exposure at residences of participants of the Heinz Nixdorf Recall Study, located in the Ruhr area. The point-specific ESCAPE (European Study of Cohorts on Air Pollution Effects-LUR aims to temporally estimate stable long-term exposure to local, mostly traffic-related air pollution with respect to very small-scale spatial variations (≤100 m. In contrast, the EURAD (European Air Pollution Dispersion-CTM aims to estimate a time-varying average air pollutant concentration in a small area (i.e., 1 km2, taking into account a range of major sources, e.g., traffic, industry, meteorological conditions, and transport. Overall agreement between EURAD-CTM and ESCAPE-LUR was weak to moderate on a residential basis. Restricting EURAD-CTM to sources of local traffic only, respective agreement was good. The possibility of combining the strengths of both applications will be the next step to enhance exposure assessment.

  15. Population Dynamics and Air Pollution: The Impact of Demographics on Health Impact Assessment of Air Pollution

    OpenAIRE

    Esben Meulengracht Flachs; Jan Sørensen; Jakob Bønløkke; Henrik Brønnum-Hansen

    2013-01-01

    Objective. To explore how three different assumptions on demographics affect the health impact of Danish emitted air pollution in Denmark from 2005 to 2030, with health impact modeled from 2005 to 2050. Methods. Modeled air pollution from Danish sources was used as exposure in a newly developed health impact assessment model, which models four major diseases and mortality causes in addition to all-cause mortality. The modeling was at the municipal level, which divides the approximately 5.5 M ...

  16. Artificial neural networks forecasting of PM2.5 pollution using air mass trajectory based geographic model and wavelet transformation

    Science.gov (United States)

    Feng, Xiao; Li, Qi; Zhu, Yajie; Hou, Junxiong; Jin, Lingyan; Wang, Jingjie

    2015-04-01

    In the paper a novel hybrid model combining air mass trajectory analysis and wavelet transformation to improve the artificial neural network (ANN) forecast accuracy of daily average concentrations of PM2.5 two days in advance is presented. The model was developed from 13 different air pollution monitoring stations in Beijing, Tianjin, and Hebei province (Jing-Jin-Ji area). The air mass trajectory was used to recognize distinct corridors for transport of "dirty" air and "clean" air to selected stations. With each corridor, a triangular station net was constructed based on air mass trajectories and the distances between neighboring sites. Wind speed and direction were also considered as parameters in calculating this trajectory based air pollution indicator value. Moreover, the original time series of PM2.5 concentration was decomposed by wavelet transformation into a few sub-series with lower variability. The prediction strategy applied to each of them and then summed up the individual prediction results. Daily meteorological forecast variables as well as the respective pollutant predictors were used as input to a multi-layer perceptron (MLP) type of back-propagation neural network. The experimental verification of the proposed model was conducted over a period of more than one year (between September 2013 and October 2014). It is found that the trajectory based geographic model and wavelet transformation can be effective tools to improve the PM2.5 forecasting accuracy. The root mean squared error (RMSE) of the hybrid model can be reduced, on the average, by up to 40 percent. Particularly, the high PM2.5 days are almost anticipated by using wavelet decomposition and the detection rate (DR) for a given alert threshold of hybrid model can reach 90% on average. This approach shows the potential to be applied in other countries' air quality forecasting systems.

  17. A microscale model for air pollutant dispersion simulation in urban areas: Presentation of the model and performance over a single building

    Science.gov (United States)

    Zhang, Ning; Du, Yunsong; Miao, Shiguang

    2016-02-01

    A microscale air pollutant dispersion model system is developed for emergency response purposes. The model includes a diagnostic wind field model to simulate the wind field and a random-walk air pollutant dispersion model to simulate the pollutant concentration through consideration of the influence of urban buildings. Numerical experiments are designed to evaluate the model's performance, using CEDVAL (Compilation of Experimental Data for Validation of Microscale Dispersion Models) wind tunnel experiment data, including wind fields and air pollutant dispersion around a single building. The results show that the wind model can reproduce the vortexes triggered by urban buildings and the dispersion model simulates the pollutant concentration around buildings well. Typically, the simulation errors come from the determination of the key zones around a building or building cluster. This model has the potential for multiple applications; for example, the prediction of air pollutant dispersion and the evaluation of environmental impacts in emergency situations; urban planning scenarios; and the assessment of microscale air quality in urban areas.

  18. Leaching behavior of Pb and Zn in air pollution control residues and their modeling prediction

    Institute of Scientific and Technical Information of China (English)

    ZHANG Hua; HE Pin-jing; SHAO Li-ming; FENG Jun-hui; CAO Qun-ke

    2006-01-01

    Increasing attention has been paid to air pollution control (APC) residues in China recently due to the rising proportion of waste incineration and the hazardous characteristics of the residues, among which heavy metal leaching toxicity plays an important role. Leaching behavior and potential risk of Pb and Zn in the APC residues from a Shanghai municipal solid waste (MSW) incinerator was studied, based on the leaching tests under different conditions and theoretical calculation using a geochemical thermodynamic equilibrium model MINTEQA2. Results showed that, extractant species and liquid to solid (L/S) ratio predominantly controlled the leaching toxicity of Pb and Zn, while ionic strength, vibration method and leaching time had less effect on the metals release.Leachate/final pH determined the metal leaching behavior, which changed the speciation of heavy metals in the extraction system. The equilibrium aqueous speciation, precipitation-dissolution of Pb and Zn was investigated according to the model computation, which was well in agreement with the experimental results.

  19. An integrated assessment of acidification, eutrophication and ozone formation using regional scale air pollution models

    International Nuclear Information System (INIS)

    In order to achieve a cost-effective reduction of acidification, eutrophication and ozone formation in Europe, possible abatement strategies are discussed and optimised with respect to cost effectiveness using the RAINS and EMEP models, with a spatial resolution of 150 km x 150 km. For a detailed evaluation of the impact of the proposed abatement strategies on a smaller region, in case the Flanders region, more detailed computations have been carried out, using regional scale air pollution models with spatial resolutions varying from 5 km to 60 km. The results were used for an integrated assessment of acidification, eutrophication and ozone formation in Flanders for the period 1999-2010. The assessment includes a comparison with intermediate and long-term policy goals, an evaluation of the effects. The results show an increase of the dominant role of ammonia with respect to acidification and eutrophication in 2010. The AOT60 reductions aimed at in the proposed EU abatement strategy could be confirmed, but results for the AOT40 were found to be much more uncertain. (Author)

  20. Urban air pollution; La pollution de l'air dans la ville

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-07-01

    The theme of this congress concerns air pollution in urban areas. Cities are accumulation of populations and economic activities, and then pollutants activities. The first articles are devoted to pollutants and their effects on health. Then come articles relative to measurements and modeling. Finally, the traffic in city and the automobile pollution are examined. Transportation systems as well technology in matter of gas emissions are reviewed. (N.C.)

  1. Transport and Environment Database System (TRENDS): Maritime Air Pollutant Emission Modelling

    DEFF Research Database (Denmark)

    Georgakaki, Aliki; Coffey, Robert; Lock, Grahm;

    2005-01-01

    This paper reports the development of the maritime module within the framework of the Transport and Environment Database System (TRENDS) project. A detailed database has been constructed for the calculation of energy consumption and air pollutant emissions. Based on an in-house database of...... commercial vessels kept at the Technical University of Denmark, relationships between the fuel consumption and size of different vessels have been developed, taking into account the fleet's age and service speed. The technical assumptions and factors incorporated in the database are presented, including...... changes from findings reported in Methodologies for Estimating air pollutant Emissions from Transport (MEET). The database operates on statistical data provided by Eurostat, which describe vessel and freight movements from and towards EU 15 major ports. Data are at port to Maritime Coastal Area (MCA...

  2. Reactions of oxidant air pollutants with model compounds for pulmonary surfactant

    Energy Technology Data Exchange (ETDEWEB)

    Lai, C.C.; Finlayson-Pitts, B.J. (California State Univ., Fullerton (USA))

    1990-01-01

    The authors report here results of studies of the reactions of a mono-saturated phosphatidylcholine found as one of the components of pulmonary surfactant,{beta}-oleoyl-{gamma}-palmitoyl L-{alpha}-phosphatidylcholine (OPPC), with three oxidant air pollutants, O{sub 3}, N{sub 2}O{sub 5} and NO{sub 2} respectively. Because this work is intended primarily to develop the analytical methodology needed to study the phosphatidylcholines reactions, much higher concentrations of the oxidants than found in ambient air were used. The major reaction products have been separated and identified. We report what appears to be the first identification of a phosphatidylcholine secondary ozonide.

  3. Air Pollution Prevention Applications for the Transport Sector by Integrating Urban Area Transport and Vehicle Emission Models with the Case Study of Bangkok, Thailand

    Directory of Open Access Journals (Sweden)

    Padet Praditphet

    2009-01-01

    Full Text Available This study proposes air pollution prevention applications for urban area transportation aimed at minimizing pollution and meeting ambient air quality standards through the use of transport and vehicle emissions models that account for air pollution changes resulting from prevention strategies. This study combines pollution prevention techniques and transport and vehicle emissions models to enhance air pollution prevention in an urban area. The amount of air emissions from transportation continues to rise as travel patterns expand, necessitating reduced pollution emissions from the transportation sector. This study aims to probe the major causes for the increase in air pollutants in the transportation sector of Bangkok and proposes a feasible method capable of reducing and controlling its associated air pollution. Furthermore, the results suggest that the most effective countermeasures to transportation-based air emissions include four potential solutions that promote the use of Natural Gas Vehicle (NGV buses and the institution of rerouting existing services. The current study can be used to formulate policies related to air pollution on a macro scale.

  4. Long-term leaching from MSWI air-pollution-control residues: leaching characterization and modeling.

    Science.gov (United States)

    Hyks, Jiri; Astrup, Thomas; Christensen, Thomas H

    2009-02-15

    Long-term leaching of Ca, Fe, Mg, K, Na, S, Al, As, Ba, Cd, Co, Cr, Cu, Hg, Mn, Ni, Pb, Zn, Mo, Sb, Si, Sn, Sr, Ti, V, P, Cl, and dissolved organic carbon from two different municipal solid waste incineration (MSWI) air-pollution-control residues was monitored during 24 months of column percolation experiments; liquid-to-solid (L/S) ratios of 200-250L/kg corresponding to more than 10,000 years in a conventional landfill were reached. Less than 2% of the initially present As, Cu, Pb, Zn, Cr, and Sb had leached during the course of the experiments. Concentrations of Cd, Fe, Mg, Hg, Mn, Ni, Co, Sn, Ti, and P were generally bellow 1microg/L; overall less than 1% of their mass leached. Column leaching data were further used in a two-step geochemical modeling in PHREEQC in order to (i) identify solubility controlling minerals and (ii) evaluate their interactions in a water-percolated column system over L/S of 250L/kg. Adequate predictions of pH, alkalinity, and the leaching of Ca, S, Al, Si, Ba, and Zn were obtained in a simultaneous calculation. Also, it was suggested that removal of Ca and S together with depletion of several minerals apparently caused dissolution of ettringite-like phases. In turn, significant increase in leaching of oxyanions (especially Sb and Cr) was observed at late stage of leaching experiments. PMID:18583034

  5. Unified Data Model of Urban Air Pollution Dispersion and 3D Spatial City Models: Groundwork Assessment towards Sustainable Urban Development for Malaysia

    DEFF Research Database (Denmark)

    Ujang, Uznir; Anton, François; Rahman, Alias Abdul

    2013-01-01

    (OSPM). This research proposed the implementation of three-dimensional (3D) spatial city model as a new physical data input for OSPM. The five Level of Details (LOD) of 3D spatial city model shows the scale applicability for the dispersion model implementtation. Subsequently 3D spatial city model data......Understanding the behavior of urban air pollution is important en route for sustainable urban development (SUD). Malaysia is on its mission to be a developed country by year 2020 comprehends dealing with air pollution is one of the indicators headed towards it. At present monitoring and managing...... air pollution in urban areas encompasses sophisticated air quality modeling and data acquisition. However, rapid developments in major cities cause difficulties in acquiring the city geometries. The existing method in acquiring city geometries data via ground or space measurement inspection such as...

  6. Spatial modeling for air pollution monitoring network design: example of residential woodsmoke.

    Science.gov (United States)

    Su, Jason G; Larson, Timothy; Baribeau, Anne-Marie; Brauer, Michael; Rensing, Michael; Buzzelli, Michael

    2007-08-01

    The purpose of this paper is to demonstrate how to develop an air pollution monitoring network to characterize small-area spatial contrasts in ambient air pollution concentrations. Using residential woodburning emissions as our case study, this paper reports on the first three stages of a four-stage protocol to measure, estimate, and validate ambient residential woodsmoke emissions in Vancouver, British Columbia. The first step is to develop an initial winter nighttime woodsmoke emissions surface using inverse-distance weighting of emissions information from consumer woodburning surveys and property assessment data. Second, fireplace density and a compound topographic index based on hydrological flow regimes are used to enhance the emissions surface. Third, the spatial variation of the surface is used in a location-allocation algorithm to design a network of samplers for the woodsmoke tracer compound levoglucosan and fine particulate matter. Measurements at these network sites are then used in the fourth stage of the protocol (not presented here): a mobile sampling campaign aimed at developing a high-resolution surface of woodsmoke concentrations for exposure assignment in health effects studies. Overall the results show that relatively simple data inputs and spatial analysis can be effective in capturing the spatial variability of ambient air pollution emissions and concentrations. PMID:17824279

  7. A mathematical model for air pollution forecast and alarm in an urban area

    Energy Technology Data Exchange (ETDEWEB)

    Finzi, G. (Instituto di Elettrotecnica ed Elettronica, Milan, Italy); Tebaldi, G.

    1982-01-01

    A mathematical ARMAX model of daily SO/sub 2/ pollution in an urban area (Milan, Italy) during the domestic heating season (from mid-October to the end of March) is described. The real-time predictor derived from this model supplies a forecast of SO/sub 2/ pollution one day ahead, by using as inputs actual pollution, mean daily wind speed and temperature and a synoptic meteorological category, defined on the basis of forecast synoptic maps. By means of this predictor, a forecast and alarm system has been implemented in real time on the computer of the local Public Health Office during the 1979/1980 heating season. Forecast pollution values have been published every day by the local papers.

  8. 3D MODEL OF TRANSFER OF POLLUTIONS FROM MOTOR VEHICLES TO THE AIR

    OpenAIRE

    Sukhinov, A.; Gadelshina, B.; Lyubomischenko, D.

    2008-01-01

    The article states the main ideas of mathematical simulation of pollution distribution from motor transport in the city atmosphere. Emission estimation model is based on solution of dual problems. A 3D model of advection-diffusion is shown. All models are paralleled on memory distribution system using domain decomposition method.

  9. Air Pollution, Allocation of Property Rights, Environmental Issues and Theoretical Overlapping Generations General Equilibrium Modelling

    OpenAIRE

    Tchouto Eric Jules

    2011-01-01

    This paper presents how the environment - considered as a production factor - and other related assumptions can be introduced step by step in a theoretical Overlapping Generations General Equilibrium Model (OLG - GE). The first part shows the behaviors of agents with pollution in the absence of an environmental policy. The second part emphasizes a Greenhouse Gas abatement policy through the allocation of Pollution Permit ownership, which allows property rights on the environment; here we assu...

  10. Structural equation modeling of the inflammatory response to traffic air pollution

    OpenAIRE

    Baja, Emmanuel S.; Schwartz, Joel D.; Coull, Brent A.; Wellenius, Gregory A.; Vokonas, Pantel S.; Suh, Helen H.

    2012-01-01

    Several epidemiological studies have reported conflicting results on the effect of traffic-related pollutants on markers of inflammation. In a Bayesian framework, we examined the effect of traffic pollution on inflammation using structural equation models (SEMs). We studied measurements of C-reactive protein (CRP), soluble vascular cell adhesion molecule-1 (sVCAM-1), and soluble intracellular adhesion molecule-1 (sICAM-1) for 749 elderly men from the Normative Aging Study. Using repeated meas...

  11. Source apportionment of air pollution in China: Extending the usefulness of receptor modeling by combining multivariate and chemical mass balance models

    International Nuclear Information System (INIS)

    The research explores the possibility of using a two step method of identifying and quantifying air pollution emissions in an urban environment. The procedures uses a mathematical model called Target Transformation Factor Analysis (TTFA) to estimate source profiles using ambient trace element air concentration data. A source profile is analogous to a fingerprint since it is unique to each source of air pollution. The profiles estimated by TTFA are then employed in a Chemical Mass Balance (CMB) source apportionment analysis for the air shed. Other known sources are estimated using source signatures from the literature. Applying the TTFA and CMB models in this fashion is called receptor modeling. Generically, a receptor model is the combination of measured air pollution concentration data with a numerical technique which apportions the measured air pollution among distinct source types. The results show that TTFA can be used to provide quantitative estimates of air pollution source profiles for an urban center in China. The number of profiles for unique source types was limited for the data set since emissions from certain types of sources co-varied during each sampling day. Consequently, the CMB analyses that applied the TTFA source profiles needed to be supplemented with standard U.S. EPA source profiles

  12. Implementation and testing of a simple data assimilation algorithm in the regional air pollution forecast model, DEOM

    OpenAIRE

    J. Frydendall; Brandt, J; Christensen, J.H.

    2009-01-01

    A simple data assimilation algorithm based on statistical interpolation has been developed and coupled to a long-range chemistry transport model, the Danish Eulerian Operational Model (DEOM), applied for air pollution forecasting at the National Environmental Research Institute (NERI), Denmark. In this paper, the algorithm and the results from experiments designed to find the optimal setup of the algorithm are described. The algorithm has been developed and optimized via eight different exper...

  13. The Relationship between Odour Annoyance Scores and Modelled Ambient Air Pollution in Sarnia, “Chemical Valley”, Ontario

    OpenAIRE

    Dominic Odwa Atari; Luginaah, Isaac N.; Karen Fung

    2009-01-01

    This study aimed at establishing the relationship between annoyance scores and modelled air pollution in “Chemical Valley”, Sarnia, Ontario (Canada). Annoyance scores were taken from a community health survey (N = 774); and respondents’ exposure to nitrogen dioxide (NO2) and sulphur dioxide (SO2) were estimated using land use regression (LUR) models. The associations were examined by univariate analysis while multivariate logistic regression was used to examine the determinants of odour annoy...

  14. Air Pollution in the World's Megacities.

    Science.gov (United States)

    Richman, Barbara T., Ed.

    1994-01-01

    Reports findings of the Global Environment Monitoring System study concerning air pollution in the world's megacities. Discusses sources of air pollution, air pollution impacts, air quality monitoring, air quality trends, and control strategies. Provides profiles of the problem in Beijing, Los Angeles, Mexico City, India, Cairo, Sao Paulo, and…

  15. The effect of future ambient air pollution on human premature mortality to 2100 using output from the ACCMIP model ensemble

    Science.gov (United States)

    Silva, Raquel A.; West, J. Jason; Lamarque, Jean-François; Shindell, Drew T.; Collins, William J.; Dalsoren, Stig; Faluvegi, Greg; Folberth, Gerd; Horowitz, Larry W.; Nagashima, Tatsuya; Naik, Vaishali; Rumbold, Steven T.; Sudo, Kengo; Takemura, Toshihiko; Bergmann, Daniel; Cameron-Smith, Philip; Cionni, Irene; Doherty, Ruth M.; Eyring, Veronika; Josse, Beatrice; MacKenzie, Ian A.; Plummer, David; Righi, Mattia; Stevenson, David S.; Strode, Sarah; Szopa, Sophie; Zengast, Guang

    2016-08-01

    Ambient air pollution from ground-level ozone and fine particulate matter (PM2.5) is associated with premature mortality. Future concentrations of these air pollutants will be driven by natural and anthropogenic emissions and by climate change. Using anthropogenic and biomass burning emissions projected in the four Representative Concentration Pathway scenarios (RCPs), the ACCMIP ensemble of chemistry-climate models simulated future concentrations of ozone and PM2.5 at selected decades between 2000 and 2100. We use output from the ACCMIP ensemble, together with projections of future population and baseline mortality rates, to quantify the human premature mortality impacts of future ambient air pollution. Future air-pollution-related premature mortality in 2030, 2050 and 2100 is estimated for each scenario and for each model using a health impact function based on changes in concentrations of ozone and PM2.5 relative to 2000 and projected future population and baseline mortality rates. Additionally, the global mortality burden of ozone and PM2.5 in 2000 and each future period is estimated relative to 1850 concentrations, using present-day and future population and baseline mortality rates. The change in future ozone concentrations relative to 2000 is associated with excess global premature mortality in some scenarios/periods, particularly in RCP8.5 in 2100 (316 thousand deaths year-1), likely driven by the large increase in methane emissions and by the net effect of climate change projected in this scenario, but it leads to considerable avoided premature mortality for the three other RCPs. However, the global mortality burden of ozone markedly increases from 382 000 (121 000 to 728 000) deaths year-1 in 2000 to between 1.09 and 2.36 million deaths year-1 in 2100, across RCPs, mostly due to the effect of increases in population and baseline mortality rates. PM2.5 concentrations decrease relative to 2000 in all scenarios, due to projected reductions in emissions, and

  16. Using statistical models to explore ensemble uncertainty in climate impact studies: the example of air pollution in Europe

    Science.gov (United States)

    Lemaire, Vincent E. P.; Colette, Augustin; Menut, Laurent

    2016-03-01

    Because of its sensitivity to unfavorable weather patterns, air pollution is sensitive to climate change so that, in the future, a climate penalty could jeopardize the expected efficiency of air pollution mitigation measures. A common method to assess the impact of climate on air quality consists in implementing chemistry-transport models forced by climate projections. However, the computing cost of such methods requires optimizing ensemble exploration techniques. By using a training data set from a deterministic projection of climate and air quality over Europe, we identified the main meteorological drivers of air quality for eight regions in Europe and developed statistical models that could be used to predict air pollutant concentrations. The evolution of the key climate variables driving either particulate or gaseous pollution allows selecting the members of the EuroCordex ensemble of regional climate projections that should be used in priority for future air quality projections (CanESM2/RCA4; CNRM-CM5-LR/RCA4 and CSIRO-Mk3-6-0/RCA4 and MPI-ESM-LR/CCLM following the EuroCordex terminology). After having tested the validity of the statistical model in predictive mode, we can provide ranges of uncertainty attributed to the spread of the regional climate projection ensemble by the end of the century (2071-2100) for the RCP8.5. In the three regions where the statistical model of the impact of climate change on PM2.5 offers satisfactory performances, we find a climate benefit (a decrease of PM2.5 concentrations under future climate) of -1.08 (±0.21), -1.03 (±0.32), -0.83 (±0.14) µg m-3, for respectively Eastern Europe, Mid-Europe and Northern Italy. In the British-Irish Isles, Scandinavia, France, the Iberian Peninsula and the Mediterranean, the statistical model is not considered skillful enough to draw any conclusion for PM2.5. In Eastern Europe, France, the Iberian Peninsula, Mid-Europe and Northern Italy, the statistical model of the impact of climate change

  17. Air pollution and allergic diseases

    Energy Technology Data Exchange (ETDEWEB)

    Ring, J.

    1987-03-13

    In the discussion on possible adverse effects of air pollution upon human health one has to distinguish between out-door and in-door environment. The most frequent pollutants in out-door air over industrialized areas are particulate substances, sulfur dioxide, nitrous oxide, carbonmonoxide, ozone and lead. Most of these substances have direct irritating effects on mucous surfaces. Hypersensitivity reactions have been described against sulfur dioxide and sulfites occurring as asthma, urticaria or anaphylactoid reactions. In-door air pollution is of much greater practical importance for a variety of diseases. Apart from physio-chemical irritants and microbial organisms leading to infections, organic allergens (e.g. house dust mites, moulds, animal epithelia) can induce a variety of allergic diseases via different pathomechanisms.

  18. Indoor air pollution and health

    OpenAIRE

    World Heath Organization (WHO)

    2005-01-01

    Metadata only record This is a fact sheet summarizing the indoor air pollution problem. The risk factors include health impacts such as respiratory infections and lung cancer. The fact sheet explains that women and children in developing nations are most vulnerable to the pollutants. It links Millennium Development Goals 1, 3, 4 and 7 (eradicate extreme poverty, empowering women, reducing child mortality, and ensure environmental sustainability) with the need for action. The fact sheet end...

  19. Air pollution in the Slovak Republic, 2001

    International Nuclear Information System (INIS)

    A report on air quality and contribution of individual sources on its pollution in the Slovak Republic in 2001 is presented. This report consists of two parts: (1) Ambient air and (2) Emission. Ambient air part is divided into the following chapters: Regional air pollution and quality of precipitation; Local air pollution; Atmospheric ozone. Emission part is divided into the following chapters: Emission and air pollution source inventory, Greenhouse gas emissions

  20. Integrating environmental taxes on local air pollutants with fiscal reform in Hungary: simulations with a computable general equilibrium model

    International Nuclear Information System (INIS)

    This paper describes the Fiscal Environmental Integration Model (FEIM) and its use to examine the merits of introducing a set of air pollutant emission taxes and stringent abatement requirements based on best commonly available control technology. These environmental protection strategies are examined both independently and in combination. In addition, Hungary has very high VAT, employment, and income tax rates and therefore might receive more than the usual advantage from using environmental tax revenues to reduce other taxes. We therefore also examine the economic and environmental implications of different uses of the revenues generated by the air pollutant emissions taxes. FEIM is a CGE model of the Hungarian economy that includes sectoral air pollution control costs functions and execution options that allow examination of the key policy choices involved. We developed and ran a baseline and seven scenarios with FEIM. The scenarios centered on introduction of environmental load fees (ELF) on emissions of SO2, NOx, and particulates and emission abatement requirements (EAR) for these pollutants. (Author)

  1. Inter-annual variability of air pollutants over East Asia: an integrated analysis using satellite, lidar and numerical model.

    Science.gov (United States)

    Yumimoto, K.; Uno, I.; Kuribayashi, M.; Miyazaki, K.; Nishizawa, T.

    2014-12-01

    Air quality in East Asia has a drastic temporal and spatial variability. The rapid economic growth in the last three decades enhanced the increase of anthropogenic emission of air pollutions, and caused deterioration of the air quality in both source and downwind regions. The unprecedented heavy PM­2.5 pollution over the central China in January 2013 records the maximum PM2.5 concentration of 996 μg/m3 and raised critical environmental issues (e.g., mortality, human health, social activity and trans-boundary transport, etc.). Recently, efforts to reduce anthropogenic emissions (e.g., emission regulations and improvements of emission factors and removal efficiencies) decelerate their growth rates. In fact, Asian SO2 emission is estimated to be reducing from 2007 [Kurokawa et al., 2013]. However, growth rates other pollutant emissions (e.g., NOx and PM10) still remain in high. To understand the life cycle of pollutants (emission, transport, reaction and deposition) and their temporal and spatial variation, an integrated analysis using observation and numerical model (chemical transport model; CTM) is useful. In this study, we installed a comprehensive observation operator system, which converts model results into observed variables, into the GEOS-Chem CTM. A long-term (2005-2013) full-chemistry simulation over East Asia was performed, and simulation results are translated to tropospheric NO2 and SO2 columns and vertical profiles of aerosol extinction coefficient equivalent to satellite measurements and in-situ lidar network observations. Combining CTM and observations, and integrating analyses of aerosols over the downwind region and their precursors over the source region will provide important insights into temporal and spatial variation of air pollutants over East Asia.

  2. Air pollution forecasting by coupled atmosphere-fire model WRF and SFIRE with WRF-Chem

    CERN Document Server

    Kochanski, Adam K; Mandel, Jan; Clements, Craig B

    2013-01-01

    Atmospheric pollution regulations have emerged as a dominant obstacle to prescribed burns. Thus, forecasting the pollution caused by wildland fires has acquired high importance. WRF and SFIRE model wildland fire spread in a two-way interaction with the atmosphere. The surface heat flux from the fire causes strong updrafts, which in turn change the winds and affect the fire spread. Fire emissions, estimated from the burning organic matter, are inserted in every time step into WRF-Chem tracers at the lowest atmospheric layer. The buoyancy caused by the fire then naturally simulates plume dynamics, and the chemical transport in WRF-Chem provides a forecast of the pollution spread. We discuss the choice of wood burning models and compatible chemical transport models in WRF-Chem, and demonstrate the results on case studies.

  3. Molecular Epidemiology and Air Pollution

    Czech Academy of Sciences Publication Activity Database

    Rössner ml., Pavel; Binková, B.; Rössnerová, Andrea; Šrám, Radim

    Rieka: InTech, 2015 - (Nejadkoorki, F.), s. 609-643 ISBN 978-953-51-2180-0 R&D Projects: GA ČR GA13-13458S Institutional support: RVO:68378041 Keywords : molecular epidemiology * biomarkers * human populations * in vitro studies Subject RIV: DN - Health Impact of the Environment Quality http://www.intechopen.com/books/current-air-quality-issues/molecular-epidemiology-and-air- pollution

  4. Air pollution in the Slovak Republic, 2003

    International Nuclear Information System (INIS)

    A report on air quality and contribution of individual sources on its pollution in the Slovak Republic in 2003 is presented. This report consists of two parts: (1) Pollutants part and (2) Emission part. Pollutants part is divided into the following chapters: Regional air pollution and quality of of precipitation; Local air pollution; Atmospheric ozone. Emission part is divided into the following chapters: Inventory control of emissions and sources of pollution, Emission of greenhouse gases

  5. Air pollution in the Slovak Republic, 2004

    International Nuclear Information System (INIS)

    A report on air quality and contribution of individual sources on its pollution in the Slovak Republic in 2004 is presented. This report consists of two parts: (1) Pollutants part and (2) Emission part. Pollutants part is divided into the following chapters: Regional air pollution and quality of precipitation; Local air pollution; Atmospheric ozone. Emission part is divided into the following chapters: Inventory control of emissions and sources of pollution, Emission of greenhouse gases

  6. Implementation and testing of a simple data assimilation algorithm in the regional air pollution forecast model, DEOM

    DEFF Research Database (Denmark)

    Frydendall, Jan; Brandt, J.; Christensen, J. H.

    2009-01-01

    A simple data assimilation algorithm based on statistical interpolation has been developed and coupled to a long-range chemistry transport model, the Danish Eulerian Operational Model (DEOM), applied for air pollution forecasting at the National Environmental Research Institute (NERI), Denmark. In...... (European Monitoring and Evaluation Programme) network covering a half-year period, April-September 1999. The best performing setup of the data assimilation algorithm for surface ozone concentrations has been found, including the combination of determining the covariances using the Hollingsworth method...... configuration of the data assimilation algorithm, were found. The data assimilation algorithm will in the future be used in the operational THOR integrated air pollution forecast system, which includes the DEOM....

  7. CALPUFF and CAFOs: Air Pollution Modeling and Environmental Justice Analysis in the North Carolina Hog Industry

    OpenAIRE

    Yelena Ogneva-Himmelberger; Liyao Huang; Hao Xin

    2015-01-01

    Concentrated animal feeding operations (CAFOs) produce large amounts of animal waste, which potentially pollutes air, soil and water and affects human health if not appropriately managed. This study uses meteorological and CAFO data and applies an air pollution dispersion model (CALPUFF) to estimate ammonia concentrations at locations downwind of hog CAFOs and to evaluate the disproportionate exposure of children, elderly, whites and minorities to the pollutant. Ammonia is one of the gases e...

  8. Air pollution and climate response to aerosol direct radiative effects: A modeling study of decadal trends across the northern hemisphere

    Science.gov (United States)

    Xing, Jia; Mathur, Rohit; Pleim, Jonathan; Hogrefe, Christian; Gan, Chuen-Meei; Wong, David C.; Wei, Chao; Wang, Jiandong

    2015-12-01

    Decadal hemispheric Weather Research and Forecast-Community Multiscale Air Quality simulations from 1990 to 2010 were conducted to examine the meteorology and air quality responses to the aerosol direct radiative effects. The model's performance for the simulation of hourly surface temperature, relative humidity, wind speed, and direction was evaluated through comparison with observations from NOAA's National Climatic Data Center Integrated Surface Data. The inclusion of aerosol direct radiative effects improves the model's ability to reproduce the trend in daytime temperature range which over the past two decades was increasing in eastern China but decreasing in eastern U.S. and Europe. Trends and spatial and diurnal variations of the surface-level gaseous and particle concentrations to the aerosol direct effect were analyzed. The inclusion of aerosol direct radiative effects was found to increase the surface-level concentrations of SO2, NO2, O3, SO42-, NO3-, and particulate matter 2.5 in eastern China, eastern U.S., and Europe by 1.5-2.1%, 1-1.5%, 0.1-0.3%, 1.6-2.3%, 3.5-10.0%, and 2.2-3.2%, respectively, on average over the entire 21 year period. However, greater impacts are noted during polluted days with increases of 7.6-10.6%, 6.2-6.7%, 2.0-3.0%, 7.8-9.5%, 11.1-18.6%, and 7.2-10.1%, respectively. Due to the aerosol direct radiative effects, stabilizing of the atmosphere associated with reduced planetary boundary layer height and ventilation leads to an enhancement of pollution. Consequently, the continual increase of aerosol optical depth (AOD) in eastern China leads to an increasing trend in the air quality feedback which exacerbates air pollution, while emission reductions in eastern U.S. and Europe result in a declining trend in both AODs and feedback which make the air pollution control strategies more effective.

  9. Spatial Modeling of Air Pollution Based on Traffic Emissions in Urban Areas

    Czech Academy of Sciences Publication Activity Database

    Matějíček, L.; Jaňour, Zbyněk; Střižík, Michal

    New York: Nova Science Publishers, 2011 - (Matějíček, L.), s. 85-98 ISBN 978-1-60876-363-4 R&D Projects: GA TA ČR TA01020428; GA AV ČR 1ET400760405; GA ČR GA205/02/0898 Institutional research plan: CEZ:AV0Z20760514 Keywords : air pollution * atmosphere * GIS Subject RIV: DG - Athmosphere Sciences, Meteorology https://www.novapublishers.com/catalog/product_info.php?products_id=11446

  10. Augmentation of arginase 1 expression by exposure to air pollution exacerbates the airways hyperresponsiveness in murine models of asthma

    Directory of Open Access Journals (Sweden)

    Amatullah Hajera

    2011-02-01

    Full Text Available Abstract Background Arginase overexpression contributes to airways hyperresponsiveness (AHR in asthma. Arginase expression is further augmented in cigarette smoking asthmatics, suggesting that it may be upregulated by environmental pollution. Thus, we hypothesize that arginase contributes to the exacerbation of respiratory symptoms following exposure to air pollution, and that pharmacologic inhibition of arginase would abrogate the pollution-induced AHR. Methods To investigate the role of arginase in the air pollution-induced exacerbation of airways responsiveness, we employed two murine models of allergic airways inflammation. Mice were sensitized to ovalbumin (OVA and challenged with nebulized PBS (OVA/PBS or OVA (OVA/OVA for three consecutive days (sub-acute model or 12 weeks (chronic model, which exhibit inflammatory cell influx and remodeling/AHR, respectively. Twenty-four hours after the final challenge, mice were exposed to concentrated ambient fine particles plus ozone (CAP+O3, or HEPA-filtered air (FA, for 4 hours. After the CAP+O3 exposures, mice underwent tracheal cannulation and were treated with an aerosolized arginase inhibitor (S-boronoethyl-L-cysteine; BEC or vehicle, immediately before determination of respiratory function and methacholine-responsiveness using the flexiVent®. Lungs were then collected for comparison of arginase activity, protein expression, and immunohistochemical localization. Results Compared to FA, arginase activity was significantly augmented in the lungs of CAP+O3-exposed OVA/OVA mice in both the sub-acute and chronic models. Western blotting and immunohistochemical staining revealed that the increased activity was due to arginase 1 expression in the area surrounding the airways in both models. Arginase inhibition significantly reduced the CAP+O3-induced increase in AHR in both models. Conclusions This study demonstrates that arginase is upregulated following environmental exposures in murine models of

  11. Climatological variability in regional air pollution

    International Nuclear Information System (INIS)

    Although some air pollution modeling studies examine events that have already occurred (e.g., the Chernobyl plume) with relevant meteorological conditions largely known, most pollution modeling studies address expected or potential scenarios for the future. Future meteorological conditions, the major pollutant forcing function other than emissions, are inherently uncertain although much relevant information is contained in past observational data. For convenience in our discussions of regional pollutant variability unrelated to emission changes, we define meteorological variability as short-term (within-season) pollutant variability and climatological variability as year-to-year changes in seasonal averages and accumulations of pollutant variables. In observations and in some of our simulations the effects are confounded because for seasons of two different years both the mean and the within-season character of a pollutant variable may change. Effects of climatological and meteorological variability on means and distributions of air pollution parameters, particularly those related to regional visibility, are illustrated. Over periods of up to a decade climatological variability may mask or overstate improvements resulting from emission controls. The importance of including climatological uncertainties in assessing potential policies, particularly when based partly on calculated source-receptor relationships, is highlighted

  12. Modelling and prediction of air pollutant transport during the 2014 biomass burning and forest fires in peninsular Southeast Asia.

    Science.gov (United States)

    Duc, Hiep Nguyen; Bang, Ho Quoc; Quang, Ngo Xuan

    2016-02-01

    During the dry season, from November to April, agricultural biomass burning and forest fires especially from March to late April in mainland Southeast Asian countries of Myanmar, Thailand, Laos and Vietnam frequently cause severe particulate pollution not only in the local areas but also across the whole region and beyond due to the prevailing meteorological conditions. Recently, the BASE-ASIA (Biomass-burning Aerosols in South East Asia: Smoke Impact Assessment) and 7-SEAS (7-South-East Asian Studies) studies have provided detailed analysis and important understandings of the transport of pollutants, in particular, the aerosols and their characteristics across the region due to biomass burning in Southeast Asia (SEA). Following these studies, in this paper, we study the transport of particulate air pollution across the peninsular region of SEA and beyond during the March 2014 burning period using meteorological modelling approach and available ground-based and satellite measurements to ascertain the extent of the aerosol pollution and transport in the region of this particular event. The results show that the air pollutants from SEA biomass burning in March 2014 were transported at high altitude to southern China, Hong Kong, Taiwan and beyond as has been highlighted in the BASE-ASIA and 7-SEAS studies. There are strong evidences that the biomass burning in SEA especially in mid-March 2014 has not only caused widespread high particle pollution in Thailand (especially the northern region where most of the fires occurred) but also impacted on the air quality in Hong Kong as measured at the ground-based stations and in LulinC (Taiwan) where a remote background monitoring station is located. PMID:26797812

  13. Dispersion Modeling of Traffic-Related Air Pollutant Exposures and Health Effects Among Children with Asthma in Detroit, Michigan

    OpenAIRE

    Batterman, Stuart; Ganguly, Rajiv; Isakov, Vlad; Burke, Janet; Arunachalam, Saravanan; Snyder, Michelle; Robins, Thomas; Lewis, Toby

    2014-01-01

    Vehicular traffic is a major source of ambient air pollution in urban areas. Traffic-related air pollutants, including carbon monoxide, nitrogen oxides, particulate matter less than 2.5 μm in diameter, and diesel exhaust emissions, have been associated with adverse human health effects, especially in areas near major roads. In addition to emissions from vehicles, ambient concentrations of air pollutants include contributions from stationary sources and background (or regional) sources. Althou...

  14. A dynamic urban air pollution population exposure assessment study using model and population density data derived by mobile phone traffic

    Science.gov (United States)

    Gariazzo, Claudio; Pelliccioni, Armando; Bolignano, Andrea

    2016-04-01

    A dynamic city-wide air pollution exposure assessment study has been carried out for the urban population of Rome, Italy, by using time resolved population distribution maps, derived by mobile phone traffic data, and modelled air pollutants (NO2, O3 and PM2.5) concentrations obtained by an integrated air dispersion modelling system. More than a million of persons were tracked during two months (March and April 2015) for their position within the city and its surroundings areas, with a time resolution of 15 min and mapped over an irregular grid system with a minimum resolution of 0.26 × 0.34 Km2. In addition, demographics information (as gender and age ranges) were available in a separated dataset not connected with the total population one. Such BigData were matched in time and space with air pollution model results and then used to produce hourly and daily resolved cumulative population exposures during the studied period. A significant mobility of population was identified with higher population densities in downtown areas during daytime increasing of up to 1000 people/Km2 with respect to nigh-time one, likely produced by commuters, tourists and working age population. Strong variability (up to ±50% for NO2) of population exposures were detected as an effect of both mobility and time/spatial changing in pollutants concentrations. A comparison with the correspondent stationary approach based on National Census data, allows detecting the inability of latter in estimating the actual variability of population exposure. Significant underestimations of the amount of population exposed to daily PM2.5 WHO guideline was identified for the Census approach. Very small differences (up to a few μg/m3) on exposure were detected for gender and age ranges population classes.

  15. Monitoring and Modelling the Trends of Primary and Secondary Air Pollution Precursors: The Case of the State of Kuwait

    Directory of Open Access Journals (Sweden)

    S. M. Al-Salem

    2010-01-01

    Full Text Available Since the beginning of the industrial revolution, processes of different scales have contributed greatly to the pollution and waste load on the environment. More specifically, airborne pollutants associated with chemical processes have contributed greatly on the ecosystem and populations health. In this communication, we review recent activities and trends of primary and secondary air pollutants in the state of Kuwait, a country associated with petroleum, petrochemical, and other industrial pollution. Trends of pollutants and impact on human health have been studied and categorized based on recent literature. More attention was paid to areas known to researchers as either precursor sensitive (i.e., nitrogen oxides (NOx, volatile organic compounds (VOCs or adjacent to upstream- or downstream-related activities. Environmental monitoring and modelling techniques relevant to this study are also reviewed. Two case studies that link recent data with models associated with industrial sectors are also demonstrated, focusing mainly on chemical mass balance (CMB and Gaussian line source modelling. It is concluded that a number of the monitoring stations and regulations placed by the Kuwait Environment Public Authority (KUEPA need up-to-date revisions and better network placement, in agreement with previous findings.

  16. Modeling of hazardous air pollutant removal in the pulsed corona discharge

    Energy Technology Data Exchange (ETDEWEB)

    Derakhshesh, Marzie [Department of Chemical and Petroleum Engineering, University of Calgary, Schulich School of Engineering, 2500 University Drive, N.W., Calgary, AB, T2N 1N4 (Canada); Abedi, Jalal [Department of Chemical and Petroleum Engineering, University of Calgary, Schulich School of Engineering, 2500 University Drive, N.W., Calgary, AB, T2N 1N4 (Canada)], E-mail: jabedi@ucalgary.ca; Omidyeganeh, Mohammad [Department of Chemical and Petroleum Engineering, University of Calgary, Schulich School of Engineering, 2500 University Drive, N.W., Calgary, AB, T2N 1N4 (Canada)

    2009-03-09

    This study investigated the effects of two parts of the performance equation of the pulsed corona reactor, which is one of the non-thermal plasma processing tools of atmospheric pressure for eliminating pollutant streams. First, the effect of axial dispersion in the diffusion term and then the effect of different orders of the reaction in the decomposition rate term were considered. The mathematical model was primarily developed to predict the effluent concentration of the pulsed corona reactor using mass balance, and considering axial dispersion, linear velocity and decomposition rate of pollutant. The steady state form of this equation was subsequently solved assuming different reaction orders. For the derivation of the performance equation of the reactor, it was assumed that the decomposition rate of the pollutant was directly proportional to discharge power and the concentration of the pollutant. The results were validated and compared with another predicted model using their experimental data. The model developed in this study was also validated with two other experimental data in the literature for N{sub 2}O.

  17. Use of CFD modeling for estimating spatial representativeness of urban air pollution monitoring sites and suitability of their locations

    International Nuclear Information System (INIS)

    A methodology to estimate the spatial representativeness of air pollution monitoring sites is applied to two urban districts. This methodology is based on high resolution maps of air pollution computed by using Computational Fluid Dynamics (CFD) modelling tools. Traffic-emitted NO2 dispersion is simulated for several meteorological conditions taking into account the effect of the buildings on air flow and pollutant dispersion and using a steady state CFD-RANS approach. From these results, maps of average pollutant concentrations for January -May 2011 are computed as a combination of the simulated scenarios. Two urban districts of Madrid City were simulated. Spatial representativeness areas for 32 different sites within the same district (including the site of the operative air quality stations) have been estimated by computing the portion of the domains with average NO2 concentration differing less than a 20% of the concentration at each candidate monitoring site. New parameters such as the ratio AR between the representativeness area and the whole domain area or the representativeness index (IR) has been proposed to discuss and compare the representativeness areas. Significant differences between the spatial representativeness of the candidate sites of both studied districts have been found. The sites of the Escuelas Aguirre district have generally smaller representativeness areas than those of the Plaza de Castilla. More stations are needed to cover the Escuelas Aguirre district than for the Plaza de Castilla one. The operative air quality station of the Escuelas Aguirre district is less representative than the station of the Plaza de Castilla district. The cause of these differences seems to be the differences in urban structure of both districts prompting different ventilation. (Author)

  18. Modeling Spatial and Temporal Variability of Residential Air Exchange Rates for the Near-Road Exposures and Effects of Urban Air Pollutants Study (NEXUS)

    Science.gov (United States)

    Air pollution health studies often use outdoor concentrations as exposure surrogates. Failure to account for variability of residential infiltration of outdoor pollutants can induce exposure errors and lead to bias and incorrect confidence intervals in health effect estimates. Th...

  19. Simulation and empirical modeling of a Design of Cyclonic separator to combat air pollution

    Directory of Open Access Journals (Sweden)

    P. SYEDA ARSHI BANU

    2011-06-01

    Full Text Available In all the countries, the cause of air pollution are several, one of the major contributing factors being automobiles’ exhaust. Today, there are millions of vehicles allover the world. There has been a rapid increase in vehicle numbers in the world. The import of technologies and transport policy we pursued, are the most important reasons for this development. The main pollutant from internal combustion engines are carbondioxide(CO2, unburned hydrocarbons(UHC, oxides if nitrogen(NOX, lead and carbonmonaxide(CO and other particulate emissions[Haagen-Smit (1952]. Because of the pollutant of engines in the atmosphere causes harmful to the human. Cyclonic separator is a dust collector which canbe used to collect particles from engine exhaust. In the current study, with the help of this program an analytical study of the effect of variables such as cyclone diameter, number in parallel, Inlet gas velocity and exhaust gas temperature on particle cut and pressure drop of the cyclone has been made.

  20. Using principal component analysis and general path seeker regression for investigation of air pollution and CO modeling

    Science.gov (United States)

    Ivanov, A.; Voynikova, D.; Gocheva-Ilieva, S.; Kulina, H.; Iliev, I.

    2015-10-01

    The monitoring and control of air quality in urban areas is important problem in many European countries. The main air pollutants are observed and a huge amount of data is collected during the last years. In Bulgaria, the air quality is surveyed by the official environmental agency and in many towns exceedances of harmful pollutants are detected. The aim of this study is to investigate the pollution from 9 air pollutants in the town of Dimitrovgrad, Bulgaria in the period of 5 years based on hourly data. Principal Component Analysis (PCA) is used to discover the patterns in the overall pollution and the contribution of the 9 pollutants. In addition the Generalized Path Seeker (GPS) regularized regression method is applied to find dependence of CO (carbon monoxide) with respect to other pollutants and 8 meteorological parameters. It is reported that the CO concentrations are in continuously repeated low level quantities very harmful for human health.

  1. Air pollution in Copenhagen

    International Nuclear Information System (INIS)

    Aerosols were monitored in Greater Copenhagen in the period June 1973 to July 1974. Size-fractionated cascade impactor samples and unfractionated filter samples were regularly collected and analyzed be neutron activation analysis, spark emission spectroscopy or proton-induced X-ray emission spectroscopy. Concentrations were determined of the following elements: Al, Si, S, Cl, K, Ca, Ti, V, Cr, Mn, Fe, Ni, Cu, Zn, Br, Mo, Cd, Sn, Sb, and Pb. All elements showed orders-of-magnitude fluctuationsthe mean concentrations were roughly the same as in other large cities. In relation to proposed air quality standards, Pb was the most critical component. Statistical analysis of variation patterns, size distributions and interelement correlations indicate that automotive exhaust is the source of Br and Pbfuel-oil combustion is the main source of V and Ni (and partly of S)soil dust raised by wind or by human activity (e.g. traffic) is the main source of Al, Si, Ca, Ti, and Fe. (author)

  2. Creating National Air Pollution Models for Population Exposure Assessment in Canada

    Science.gov (United States)

    Setton, Eleanor; Cervantes, Alejandro; Poplawski, Karla; Deschenes, Steeve; Brauer, Michael; van Donkelaar, Aaron; Lamsal, Lok; Martin, Randall; Jerrett, Michael; Demers, Paul

    2011-01-01

    Background: Population exposure assessment methods that capture local-scale pollutant variability are needed for large-scale epidemiological studies and surveillance, policy, and regulatory purposes. Currently, such exposure methods are limited. Methods: We created 2006 national pollutant models for fine particulate matter [PM with aerodynamic diameter ≤ 2.5 μm (PM2.5)], nitrogen dioxide (NO2), benzene, ethylbenzene, and 1,3-butadiene from routinely collected fixed-site monitoring data in Canada. In multiple regression models, we incorporated satellite estimates and geographic predictor variables to capture background and regional pollutant variation and used deterministic gradients to capture local-scale variation. The national NO2 and benzene models are evaluated with independent measurements from previous land use regression models that were conducted in seven Canadian cities. National models are applied to census block-face points, each of which represents the location of approximately 89 individuals, to produce estimates of population exposure. Results: The national NO2 model explained 73% of the variability in fixed-site monitor concentrations, PM2.5 46%, benzene 62%, ethylbenzene 67%, and 1,3-butadiene 68%. The NO2 model predicted, on average, 43% of the within-city variability in the independent NO2 data compared with 18% when using inverse distance weighting of fixed-site monitoring data. Benzene models performed poorly in predicting within-city benzene variability. Based on our national models, we estimated Canadian ambient annual average population-weighted exposures (in micrograms per cubic meter) of 8.39 for PM2.5, 23.37 for NO2, 1.04 for benzene, 0.63 for ethylbenzene, and 0.09 for 1,3-butadiene. Conclusions: The national pollutant models created here improve exposure assessment compared with traditional monitor-based approaches by capturing both regional and local-scale pollution variation. Applying national models to routinely collected

  3. Modelling air pollution transfers in the Fos-Sur-Mer area

    International Nuclear Information System (INIS)

    A 'puff' gaussian model with determined standard deviations based on transfer times of two classes of vertical stability of the atmosphere was developed in order to evaluate the atmospheric dispersion of industrial discharges in the Fos-sur-Mer area. This research was carried out within the framework of a large study for the processing of the data obtained during the measurement campaign organized by the European Communities. The model in its analytic form allows consideration of the main phenomena which modify the puff content during the transfer: reflectance, wet and dry deposition, physical-chemical transformation of the pollutant SO2. The model includes the site meteorological parameters measured in three dimensions (wind speed and direction at ground level and in altitude) and the characteristics of the different stacks. It can also calculate pollutions resulting from a short emission or from continuous emissions. Examples are presented. (author)

  4. Ship emissions and air pollution in Denmark

    DEFF Research Database (Denmark)

    Olesen, Helge Rørdam; Winther, Morten; Ellermann, Thomas;

    A project has been carried out to map the contribution from ship traffic to air pollution in Denmark. A main element in the project is the establishment of a new, improved inventory of ship emissions for the waters around Denmark. The inventory makes use of the so-called AIS system, which...... continuously keeps track of ship positions. The inventory provides basis for model calculations of air quality in Denmark for the years 2007, 2011 and 2020. The study has focus on identifying the contribution from ships, and on assessing the effect of international regulations of ship pollution. A minor...... component of the study concerns the contribution to local air pollution from ships at port....

  5. Human Exposure Assessment in Air Pollution Systems

    OpenAIRE

    Junfeng Zhang; Lioy, Paul J.

    2002-01-01

    The air pollution problem can be depicted as a system consisting of several basic components: source, concentration, exposure, dose, and adverse effects. Exposure, the contact between an agent (e.g., an air pollutant) and a target (e.g., a human respiratory tract), is the key to linking the pollution source and health effects. Human exposure to air pollutants depends on exposure concentration and exposure duration. Exposure concentration is the concentration of a pollutant at a contact bounda...

  6. Clean Air Slots Amid Atmospheric Pollution

    Science.gov (United States)

    Hobbs, Peter V.

    2002-01-01

    This article investigates the mechanism for those layers in the atmosphere that are free of air borne pollution even though the air above and below them carry pollutants. Atmospheric subsidence is posed as a mechanism for this phenomenon.

  7. Mild Air Pollution of Concern in Pregnancy

    Science.gov (United States)

    ... nih.gov/medlineplus/news/fullstory_158558.html Mild Air Pollution of Concern in Pregnancy Study found risk for ... Being exposed to just a small amount of air pollution during pregnancy ups the risk of a pregnancy ...

  8. Air Pollution and Heart Disease, Stroke

    Science.gov (United States)

    ... High Blood Pressure Tools & Resources Stroke More Air Pollution and Heart Disease, Stroke Updated:Aug 30,2016 ... routine or in a less populated place, tiny pollution particles in the air can lead to big ...

  9. Air pollution and COPD in China

    OpenAIRE

    Hu, Guoping; Zhong, Nanshan; Ran, Pixin

    2015-01-01

    Recently, many researchers paid more attentions to the association between air pollution and chronic obstructive pulmonary disease (COPD). Haze, a severe form of outdoor air pollution, affected most parts of northern and eastern China in the past winter. In China, studies have been performed to evaluate the impact of outdoor air pollution and biomass smoke exposure on COPD; and most studies have focused on the role of air pollution in acutely triggering symptoms and exacerbations. Few studies...

  10. Air pollution in Kenya

    International Nuclear Information System (INIS)

    This work will look into PM-10 particulate matter collected from Nairobi City, Kenya (metropolitan city) and the remote forest on Mount Kenya (Timau Hills 3,875 m) for background monitoring. Previous work was done along the roadside, where total suspended particulate matter was collected and zinc, lead, and bromine were identified as highly enriched elements. The nine elements analyzed by EDXRF were found to account for 20% of the total mass. In this work we hope to account for more mass by including AAS and ion chromatography in the analytical methods. Indoor (industrial) samples will also be collected using Personal Samplers with a PM-10 Cyclone Head. Receptor modelling will be done taking into account the indoor data. Variations of the data with seasons and changes in weather will be analyzed. The background data will be used to assess long-range transfer of particulate. (author). 12 refs, 1 fig

  11. Dispersion Modeling of Traffic-Related Air Pollutant Exposures and Health Effects among Children with Asthma in Detroit, Michigan

    Science.gov (United States)

    Vehicular traffic is a major source of ambient air pollution in urban areas, and traffic-related air pollutants, including carbon monoxide, nitrogen oxides, particulate matter under 2.5 microns in diameter (PM2.5) and diesel exhaust emissions, have been associated with...

  12. The passive control of air pollution exposure in Dublin, Ireland: A combined measurement and modelling case study

    International Nuclear Information System (INIS)

    This study investigates the potential real world application of passive control systems to reduce personal pollutant exposure in an urban street canyon in Dublin, Ireland. The implementation of parked cars and/or low boundary walls as a passive control system has been shown to minimise personal exposure to pollutants on footpaths in previous investigations. However, previous research has been limited to generic numerical modelling studies. This study combines real-time traffic data, meteorological conditions and pollution concentrations, in a real world urban street canyon before and after the implementation of a passive control system. Using a combination of field measurements and numerical modelling this study assessed the potential impact of passive controls on personal exposure to nitric oxide (NO) concentrations in the street canyon in winter conditions. A calibrated numerical model of the urban street canyon was developed, taking into account the variability in traffic and meteorological conditions. The modelling system combined the computational fluid dynamic (CFD) simulations and a semi-empirical equation, and demonstrated a good agreement with measured field data collected in the street canyon. The results indicated that lane distribution, fleet composition and vehicular turbulence all affected pollutant dispersion, in addition to the canyon geometry and local meteorological conditions. The introduction of passive controls displayed mixed results for improvements in air quality on the footpaths for different wind and traffic conditions. Parked cars demonstrated the most comprehensive passive control system with average improvements in air quality of up to 15% on the footpaths. This study highlights the potential of passive controls in a real street canyon to increase dispersion and improve air quality at street level. - Highlights: • Parked cars and LBWs were assessed as passive controls in an urban street canyon. • The calibrated model combined CFD

  13. Biomonitoring air pollution in Chile

    International Nuclear Information System (INIS)

    Full text: Chile, in general, and Santiago, its capital city, in particular, has serious air pollution problems mainly in winter time when the pollutants could reach dangerous levels which might be detrimental to older people and children. A project was undertaken within the framework of a Co-ordinated Research Programme (CRP) supported by the International Atomic Energy Agency (IAEA) to carry out a long term study on atmospheric air pollution in Chile using biomonitors. The present paper describes the activities carried out within this CRP. The lichens, collected in clean areas (native forests), were transplanted to selected sites in Santiago and exposed during three and six months. At a second stage, samples of Tillandsia recurvata were collected in the Metropolitan Area. All samples were carefully cleaned, using only clean plastic materials, milled at liquid nitrogen temperature, freeze dried, re-homogenized and stored at low temperature until analysis. The samples were mainly analysed by INAA, RNAA SS-AAS and ASV. As part of the routine QA/QC programme, analytical laboratories involved in the project participated in intercomparison runs organized by the IAEA for the determination of trace and minor elements in two lichens samples. From the data and its subsequent mapping over the area under study, it was possible to identify places exposed to higher amounts of some elements. Of interest are also the correlations between several elements, perhaps indicating a given source of pollutants. The results indicate the usefulness of biomonitoring air pollution using lichens and Tillandsias, which, jointly with multielemental analytical techniques, such as NAA, open the possibility to study extensive areas without the infrastructure needed for conventional APM sample collection and at reduced costs. (author)

  14. Air Pollution. Environmental Ecological Education Project.

    Science.gov (United States)

    Parkway School District, Chesterfield, MO.

    This unit, designed for senior high school students, focuses on air pollution by examining its effect on man, plants and animals, the causes of air pollution, and possible solutions to the air pollution problems. It approaches each of these topics through both natural science and social science perspectives. The unit is divided into seven separate…

  15. Second moment modelling for the numerical simulation of passive scalar dispersion of air pollutants in urban environments

    OpenAIRE

    Izarra Garcia, Rafael

    2011-01-01

    Since the Industrial Revolution mankind has needed to deal with increasing air pollution problems as a result of manufacturing, mining, transportation, and power production. Air pollution concerns the interaction of gases and particles emitted into the atmosphere with the surrounding environment. This interaction can redirect pollutants toward sensitive areas, concentrate different species above acceptable levels, or even mitigate concentration levels by enhancing diffusion and dispersion. Th...

  16. Climate change and air pollution

    OpenAIRE

    D’Amato, Gennaro; Bergmann, Karl Christian; Cecchi, Lorenzo; Annesi-Maesano, Isabella; Sanduzzi, Alessandro; Liccardi, Gennaro; Vitale, Carolina; Stanziola, Anna; D’Amato, Maria

    2014-01-01

    Summary The observational evidence indicates that recent regional changes in climate, particularly temperature increases, have already affected a diverse set of physical and biological systems in many parts of the world. Allergens patterns are also changing in response to climate change and air pollution can modify the allergenic potential of pollen grains especially in the presence of specific weather conditions. Although genetic factors are important in the development of asthma and allergi...

  17. Air Pollution and Procyclical Mortality

    OpenAIRE

    Garth Heutel; Ruhm, Christopher J.

    2013-01-01

    Prior research demonstrates that mortality rates increase during economic booms and decrease during economic busts, but little analysis has been conducted investigating the role of environmental risks as potential mechanisms for this relationship. We investigate the contribution of air pollution to the procyclicality of deaths by combining state-level data on overall, cause-specific, and age-specific mortality rates with state-level measures of ambient concentrations of three types of polluta...

  18. Lung cancer and air pollution.

    OpenAIRE

    Cohen, A J; Pope, C A

    1995-01-01

    Epidemiologic studies over the last 40 years suggest rather consistently that general ambient air pollution, chiefly due to the incomplete combustion of fossil fuels, may be responsible for increased rates of lung cancer. This evidence derives from studies of lung cancer trends, studies of occupational groups, comparisons of urban and rural populations, and case-control and cohort studies using diverse exposure metrics. Recent prospective cohort studies observed 30 to 50% increases in lung ca...

  19. Residential preferences for stable electricity supply and a reduction in air pollution risk: A benefit transfer study using choice modeling in China

    OpenAIRE

    Ohdoko, Taro; Komatsu, Satoru; Kaneko, Shinji

    2012-01-01

    This paper uses choice modeling surveys from the Chinese cities of Jiujiang, Jiangxi Province, and Changsha, Hunan Province, to identify residential preferences for simultaneously increasing the stability of the electricity supply and decreasing the health risks from air pollution. Air pollution in China is mainly attributable to externalities associated with the electricity supply. We employ a contingent ranking approach as our choice modeling method and test for the transfer of benefits for...

  20. Air pollution and air cleaning equipment in buildings

    OpenAIRE

    Evdokimova, Ekaterina

    2011-01-01

    The subject of this thesis work is air pollution and air cleaners in building. Clean air has big significance for human health because different pollutions can cause allergy and disease. The quality of indoor air affects health and effective working. The aim of this thesis is to present methods and devices for cleaning the air.

  1. Vehicles and Particulate Air Pollution

    Institute of Scientific and Technical Information of China (English)

    2000-01-01

    The current scene relating to particles and vehicular emissions in UK is reviewed. The active research topics are health effects of particles, particle size and composition, modeling the fate of particles and assessing individual exposure. There is a National Air Quality Strategy combined with local air quality management which includes monitoring and assessment, dispersion modeling and development of management plans.

  2. Bayesian model averaging method for evaluating associations between air pollution and respiratory mortality: a time-series study

    Science.gov (United States)

    Fang, Xin; Li, Runkui; Kan, Haidong; Bottai, Matteo; Fang, Fang

    2016-01-01

    Objective To demonstrate an application of Bayesian model averaging (BMA) with generalised additive mixed models (GAMM) and provide a novel modelling technique to assess the association between inhalable coarse particles (PM10) and respiratory mortality in time-series studies. Design A time-series study using regional death registry between 2009 and 2010. Setting 8 districts in a large metropolitan area in Northern China. Participants 9559 permanent residents of the 8 districts who died of respiratory diseases between 2009 and 2010. Main outcome measures Per cent increase in daily respiratory mortality rate (MR) per interquartile range (IQR) increase of PM10 concentration and corresponding 95% confidence interval (CI) in single-pollutant and multipollutant (including NOx, CO) models. Results The Bayesian model averaged GAMM (GAMM+BMA) and the optimal GAMM of PM10, multipollutants and principal components (PCs) of multipollutants showed comparable results for the effect of PM10 on daily respiratory MR, that is, one IQR increase in PM10 concentration corresponded to 1.38% vs 1.39%, 1.81% vs 1.83% and 0.87% vs 0.88% increase, respectively, in daily respiratory MR. However, GAMM+BMA gave slightly but noticeable wider CIs for the single-pollutant model (−1.09 to 4.28 vs −1.08 to 3.93) and the PCs-based model (−2.23 to 4.07 vs −2.03 vs 3.88). The CIs of the multiple-pollutant model from two methods are similar, that is, −1.12 to 4.85 versus −1.11 versus 4.83. Conclusions The BMA method may represent a useful tool for modelling uncertainty in time-series studies when evaluating the effect of air pollution on fatal health outcomes. PMID:27531727

  3. Evaluation of modelling systems in high resolution to assess the air pollutant impacts on human health

    OpenAIRE

    González-Rocha, Sergio Natan; Baldasano Recio, José María

    2015-01-01

    Nowadays the modelling of systems in high resolution is being used for air quality and other forecasting applications, where a spatial area is related with different interrelated variables that could be displayed on a map. This area is usually represented by global domains (hundred to thousand of square km); when smaller regions need to be represented, a high resolution modelling system can be used, these systems goes from one square km to dozen of square km, health is on...

  4. Air pollution control policy in Switzerland

    International Nuclear Information System (INIS)

    There are a lot of reasons why emissions of air pollutants have to be reduced. Acid deposition and its consequences are among them, but they are not the only ones. This paper presents the comprehensive legal basis of air pollution control policy in Switzerland as well as the overall air pollution control strategy. The present situation with respect to air pollution is discussed. A list of implemented and planned measures is given as well as emission trends of major air pollutants from 1950 to 2010. 6 refs., 1 fig

  5. Air Pollution and Control Legislation in India

    Science.gov (United States)

    P Bhave, Prashant; Kulkarni, Nikhil

    2015-09-01

    Air pollution in urban areas arises from multiple sources, which may vary with location and developmental activities. Anthropogenic activities as rampant industrialization, exploitation and over consumption of natural resources, ever growing population size are major contributors of air pollution. The presented review is an effort to discuss various aspects of air pollution and control legislation in India emphasizing on the history, present scenario, international treaties, gaps and drawbacks. The review also presents legislative controls with judicial response to certain landmark judgments related to air pollution. The down sides related to enforcement mechanism for the effective implementation of environmental laws for air pollution control have been highlighted.

  6. High-resolution modelling of health impacts and related external cost from air pollution over 36 years using the integrated model system EVA

    Science.gov (United States)

    Brandt, Jørgen; Andersen, Mikael S.; Bønløkke, Jakob; Christensen, Jesper H.; Geels, Camilla; Hansen, Kaj M.; Hertel, Ole; Im, Ulas; Jensen, Steen S.; Ketzel, Matthias; Nielsen, Ole-Kenneth; Plejdrup, Marlene S.; Sigsgaard, Torben

    2016-04-01

    A high-resolution assessment of health impacts from air pollution and related external cost has been conducted for Denmark using the integrated EVA model system. The EVA system is based on the impact-pathway methodology, where the site-specific emissions will result, via atmospheric transport and chemistry, in a concentration distribution, which together with detailed population data, is used to estimate the population-level exposure. Using exposure-response functions and economic valuations, the exposure is transformed into impacts on human health and related external costs. In this study we have used a coupling of two chemistry transport models to calculate the air pollution concentration at different domain and scales; the Danish Eulerian Hemispheric Model (DEHM) to calculate the air pollution levels in the Northern Hemisphere with a resolution down to 5.6 km x 5.6 km and the Urban Background Model (UBM) to further calculate the air pollution in Denmark at 1 km x 1 km resolution using results from DEHM as boundary conditions. Both the emission data as well as the population density has been represented in the model system with the same high resolution. Previous health impact assessments related to air pollution have been made on a lower resolution. In this study, the integrated model system, EVA, has been used to estimate the health impacts and related external cost for Denmark at a 1 km x 1 km resolution. New developments of the integrated model system will be presented as well as the development of health impacts and related external costs in Europe and Denmark over a period of 36 years (1979-2014). Acknowledgements This work was funded by: DCE - National Centre for Environment and Energy. Project: "Health impacts and external costs from air pollution in Denmark over 25 years" and NordForsk under the Nordic Programme on Health and Welfare. Project: "Understanding the link between air pollution and distribution of related health impacts and welfare in the

  7. Evaluation of two isoprene emission models for use in a long-range air pollution model

    Directory of Open Access Journals (Sweden)

    A. Zare

    2012-08-01

    Full Text Available Knowledge about isoprene emissions and concentration distribution is important for chemistry transport models (CTMs, because isoprene acts as a precursor for tropospheric ozone and subsequently affects the atmospheric concentrations of many other atmospheric compounds. Isoprene has a short lifetime, and hence it is very difficult to evaluate its emission estimates against measurements. For this reason, we coupled two isoprene emission models with the Danish Eulerian Hemispheric Model (DEHM, and evaluated the simulated background ozone concentrations based on different models for isoprene emissions. In this research, results of using the two global biogenic emission models; GEIA (Global Emissions Inventory Activity and MEGAN (the global Model of Emissions of Gases and Aerosols from Nature are compared and evaluated. The total annual emissions of isoprene for the year 2006 estimated by using MEGAN is 592 Tg yr−1 for an extended area of the Northern Hemisphere, which is 21% higher than that estimated by using GEIA. The overall feature of the emissions from the two models is quite similar, but differences are found mainly in Africa's savannah and in the southern part of North America. Differences in spatial distribution of emission factors are found to be a key source of these discrepancies. In spite of the short life-time of isoprene, a direct evaluation of isoprene concentrations using the two biogenic emission models in DEHM has been made against available measurements in Europe. Results show an agreement between two models simulations and the measurements in general and that the CTM is able to simulate isoprene concentrations. Additionally, investigation of ozone concentrations resulting from the two biogenic emission models show that isoprene simulated by MEGAN strongly affects the ozone production in the African savannah; the effect is up to 10% more than that obtained using GEIA. In contrast, the impact of using GEIA is higher in

  8. Global model simulations of air pollution during the 2003 European heat wave

    Directory of Open Access Journals (Sweden)

    C. Ordóñez

    2010-01-01

    Full Text Available Three global Chemistry Transport Models – MOZART, MOCAGE, and TM5 – as well as MOZART coupled to the IFS meteorological model including assimilation of ozone (O3 and carbon monoxide (CO satellite column retrievals, have been compared to surface measurements and MOZAIC vertical profiles in the troposphere over Western/Central Europe for summer 2003. The models reproduce the meteorological features and enhancement of pollution during the period 2–14 August, but not fully the ozone and CO mixing ratios measured during that episode. Modified normalised mean biases are around −25% (except ~5% for MOCAGE in the case of ozone and from −80% to −30% for CO in the boundary layer above Frankfurt. The coupling and assimilation of CO columns from MOPITT overcomes some of the deficiencies in the treatment of transport, chemistry and emissions in MOZART, reducing the negative biases to around 20%. The high reactivity and small dry deposition velocities in MOCAGE seem to be responsible for the overestimation of O3 in this model. Results from sensitivity simulations indicate that an increase of the horizontal resolution to around 1°×1° and potential uncertainties in European anthropogenic emissions or in long-range transport of pollution cannot completely account for the underestimation of CO and O3 found for most models. A process-oriented TM5 sensitivity simulation where soil wetness was reduced results in a decrease in dry deposition fluxes and a subsequent ozone increase larger than the ozone changes due to the previous sensitivity runs. However this latest simulation still underestimates ozone during the heat wave and overestimates it outside that period. Most probably, a combination of the mentioned factors together with underrepresented biogenic emissions in the models, uncertainties in the modelling of vertical/horizontal transport processes in the proximity of the boundary layer as well as limitations of

  9. Global model simulations of air pollution during the 2003 European heat wave

    Directory of Open Access Journals (Sweden)

    C. Ordóñez

    2009-08-01

    Full Text Available Three global Chemistry Transport Models – MOZART, MOCAGE, and TM5 – as well as MOZART coupled to the IFS meteorological model including assimilation of ozone (O3 and carbon monoxide (CO satellite column retrievals, have been compared to surface measurements and MOZAIC vertical profiles in the troposphere over Europe for summer 2003. The models reproduce the meteorological features and enhancement of pollution in the troposphere over Central and Western Europe during the period 2–14 August, but not fully the ozone and CO mixing ratios measured during that episode. Modified normalised mean biases are around −25% (except ~5% for MOCAGE in the case of ozone and from −80% to −30% in the case of CO in the boundary layer above Frankfurt. The coupling and assimilation of CO columns from MOPITT overcomes some of the deficiencies in the treatment of transport, chemistry and emissions in MOZART, reducing the negative biases to around 20%. Results from sensitivity simulations indicate that an increase of the coarse resolution of the global models to around 1°×1° and potential uncertainties in European anthropogenic emissions or in long-range transport of pollution cannot completely account for the underestimation of CO and O3 found for most global models. A process-oriented TM5 sensitivity simulation where soil wetness was reduced results in a decrease in dry deposition fluxes and a subsequent ozone increase larger than those of other sensitivity runs where the horizontal resolution or European emissions are increased. However this latest simulation still underestimates ozone during the heat wave and overestimates it outside that period. Most probably, a combination of the mentioned factors together with underrepresented biogenic emissions in the models, uncertainties in the modelling of vertical/horizontal transport processes in the proximity of the boundary layer as well as limitations of the chemistry schemes are

  10. REAL TIME WIRELESS AIR POLLUTION MONITORING SYSTEM

    OpenAIRE

    Raja Vara Prasad Y; Mirza Sami Baig; Mishra, Rahul K; Rajalakshmi, P.; U. B. Desai; S. N. Merchant

    2011-01-01

    Air pollution has significant influence on the concentration of constituents in the atmosphere leading to effects like global warming and acid rains. To avoid such adverse imbalances in the nature, an air pollution monitoring system is utmost important. This paper attempts to develop an effective solution for pollution monitoring using wireless sensor networks (WSN) on a real time basis namely real time wireless air pollution monitoring system. Commercially available discrete gas sensors for ...

  11. Ambient Air Pollution and the Risk of Stillbirth

    OpenAIRE

    Faiz, Ambarina S.; Rhoads, George G.; Demissie, Kitaw; Kruse, Lakota; Lin, Yong; Rich, David Q.

    2012-01-01

    The purpose of the present study was to examine the risk of stillbirth associated with ambient air pollution during pregnancy. Using live birth and fetal death data from New Jersey from 1998 to 2004, the authors assigned daily concentrations of air pollution to each birth or fetal death. Generalized estimating equation models were used to estimate the relative odds of stillbirth associated with interquartile range increases in mean air pollutant concentrations in the first, second, and third ...

  12. Epiphytic lichens and air pollution

    Energy Technology Data Exchange (ETDEWEB)

    De Wit, T.

    1978-01-01

    The WHEN workgroup has made an inventory of the epiphytic lichens on freestanding trees in The Netherlands, using a 5 km square-grid as a basis. On the basis of the number of lichen species per tree species per square, the squares were divided into six classes of epiphyte richness. The data for the west of the country were analyzed in more detail, resulting in a zone map. It appeared possible to construct a descriptive model of the correlation between SO/sub 2/ concentrations and epiphyte richness. At median winter SO/sub 2/ concentrations higher than 100..mu..g/m/sup 3/ only a few insensitive species occur. At lower concentrations winter peak values (98 percentile) are more important than median ones. The extent to which a species is restricted to epiphyte-rich squares is used as a measure for ranking the species according to sensitivity. The more sensitive species have disappeared from large areas of The Netherlands. Comparison of the present situation with data from around 1950 reveals a decline almost everywhere in the country. The southern and western parts of the country are impoverished, the area between Rotterdam and Den Haag and the area between Arnhem and Nijmegen in particular have become very poor. A further decline of the epiphytic lichen vegetation, in particular of the relatively rich areas, is expected. In fumigation experiments, using HF, SO/sub 2/, C/sub 2/H/sub 4/, O/sub 3/ and O/sub 3/ combined with SO/sub 2/ at realistic concentrations and prolonged exposition it was found that these air pollutants cause (under glasshouse conditions) significant morphological damage to all or some of the tested lichen species.

  13. AIR POLLUTION OF URBAN AREAS

    Directory of Open Access Journals (Sweden)

    MAKAROVA V. N.

    2016-04-01

    Full Text Available Raising of problem. Any manufacturing processes related to the generation of waste. Year after year, a growing mass of waste is one of the main factors reducing the quality of the environment and destruction of natural landscapes. Industrial development inevitably enhances human impacts on the environment and disrupts the ecological balance [3]. Atmospher air is a vital element of the environment. The development of industry, the growth of cities, increasing the number of transport, active exploration of near-Earth space lead to a change in the gas composition of the atmosphere and disruption of its natural balance. Air quality affects the health of the population [5]. Without water or food a person can do for a while, but without air he can not live a few minutes, therefore saving air breathable is an urgent problem. Purpose. The results of geological studies clearly indicate that the contamination of the surface layer of the atmosphere is the most powerful permanent factor of influence on the human food chain and the environment. This problem was reflected in the scientific literature [2; 3; 6], and the second significant indicator of ecological well-being of the region is the number of generation and accumulation of waste. According to this indicator, Dnipropetrovsk region is in the lead, as relates to the industrialized regions. The idea of the article is to consider the air pollution of the urban environment in terms of the accumulation of waste in the territory of enterprises, in particular slag dumps metallurgical production. Conclusion. Slag dumps located on the premises are a significant source of air pollution urbanized areas due to the permanent nature of the spread of contamination. Slag dump of PAT "Nikopol Ferroalloy Plant" is a source of manganese, zinc, nickel emissions. As a conclusion about the magnitude of pollution of the atmospheric boundary layer can say the following: on the border of the sanitary protection zone (SPZ, in

  14. Diagnosing vegetation injury caused by air pollution

    Energy Technology Data Exchange (ETDEWEB)

    1978-02-01

    The structure and function of plants in relation to air pollution injury is discussed. The sources, atmospheric chemistry, monitoring data, symptomatology, factors affecting plant response, injury threshold doses, air quality standards, relative sensitivity of plants, and leaf tissue analysis are discussed for major air pollutants. Among the pollutants discussed are: the photochemical oxidants (ozone, PAN, nitrogen oxides, sulfur dioxide, and fluorides). Minor pollutants discussed in the same framework are chlorine, hydrogen chloride, ethylene, ammonia, hydrogen sulfide, carbon monoxide, heavy metals (lead, zinc, cadmium, copper, and mercury), particulates, and pesticides. Other subjects discussed include: interactions between pollutants and between pollutants and pathogens, mimicking symptoms, meteorology and air pollution injury, and basic diagnostic procedures of suspected air pollution injury to vegetation. 76 references, 128 figures, 28 tables.

  15. Implementation and testing of a simple data assimilation algorithm in the regional air pollution forecast model, DEOM

    Directory of Open Access Journals (Sweden)

    J. Frydendall

    2009-08-01

    Full Text Available A simple data assimilation algorithm based on statistical interpolation has been developed and coupled to a long-range chemistry transport model, the Danish Eulerian Operational Model (DEOM, applied for air pollution forecasting at the National Environmental Research Institute (NERI, Denmark. In this paper, the algorithm and the results from experiments designed to find the optimal setup of the algorithm are described. The algorithm has been developed and optimized via eight different experiments where the results from different model setups have been tested against measurements from the EMEP (European Monitoring and Evaluation Programme network covering a half-year period, April–September 1999. The best performing setup of the data assimilation algorithm for surface ozone concentrations has been found, including the combination of determining the covariances using the Hollingsworth method, varying the correlation length according to the number of adjacent observation stations and applying the assimilation routine at three successive hours during the morning. Improvements in the correlation coefficient in the range of 0.1 to 0.21 between the results from the reference and the optimal configuration of the data assimilation algorithm, were found. The data assimilation algorithm will in the future be used in the operational THOR integrated air pollution forecast system, which includes the DEOM.

  16. Radon as a tool for characterising atmospheric stability effects on air pollution concentrations in model evaluation studies

    Science.gov (United States)

    Chambers, Scott; Williams, Alastair; Crawford, Jagoda; Griffiths, Alan

    2015-04-01

    A clearer understanding of the variability in near-surface concentrations of pollutants in urban regions is essential for improving the predictive abilities of chemical transport models as well as identifying the need for (and assessing the efficacy of) emission mitigation strategies. Pollutant concentrations in the atmospheric boundary layer (ABL) are a complex function of many factors, including: source strengths and distribution, local meteorology and air chemistry. On short (sub-diurnal) timescales, the extent of the vertical column within which emissions mix usually has the largest influence on measured concentrations, and the depth of this mixing volume is in turn closely related to wind speed and the thermal stability of the ABL. Continuous hourly observations of the ubiquitous, surface-emitted, passive tracer radon-222 provide a powerful alternative to contemporary meteorological techniques for assessing stability effects on urban pollutants, because radon's concentration is closely matched with pollution transport processes at the surface. Here we outline a technique by which single-height, near-surface (<20m) radon observations can be conditioned to derive a multi-category stability classification scheme for urban pollution monitoring to provide benchmarking tools for local- to regional- chemical transport model evaluations. Efficacy of the radon-based classification scheme is compared to that based on conventional Pasquil-Gifford "turbulence" and "radiation" schemes. Lastly, we apply the radon-based classification scheme to nocturnal mixing height estimates calculated from the diurnal radon accumulation time series, and provide insight to the range of nocturnal mixing depths expected for each of the stability classes.

  17. Air pollution burden of illness from traffic in Toronto

    International Nuclear Information System (INIS)

    This paper examined the health impacts of air pollution from traffic in Toronto. The paper provided a review of scientific studies on the health effects of vehicle pollution as well as a quantitative assessment of the economic costs and the burden of illness attributed to traffic pollution in Toronto. The report also assessed air pollution and traffic trends in the city, and outlined initiatives being conducted to reduce vehicle-related pollution. The study used the new air quality benefits tool (AQBAT) which determines the burden of illness and the economic impacts of traffic-related air pollution. Air modelling specialists were consulted in order to determine the contribution of traffic-related pollutants to overall pollution levels using data on traffic counts and vehicle emissions factors. The air model also considered dispersion, transport and and the transformation of compounds emitted from vehicles. Results of the study showed that traffic pollution caused approximately 440 premature deaths and 1700 hospitalizations per year. Children in the city experienced more than 1200 acute bronchitis episodes per year as a result of air pollution from traffic. Mortality-related costs associated with traffic pollution in Toronto were estimated at $2.2 billion. It was concluded that the city must pursue the implementation of sustainable transportation policies and programs which foster and enable the expansion and use of public transport. 47 refs., 8 tabs., 9 figs

  18. Air pollution burden of illness from traffic in Toronto

    Energy Technology Data Exchange (ETDEWEB)

    McKeown, D.; Campbell, M.; Bassil, K.; Morgan, C.; Lalani, M.; Macfarlane, R.; Bienefeld, M. [Toronto Public Health, ON (Canada)

    2007-11-15

    This paper examined the health impacts of air pollution from traffic in Toronto. The paper provided a review of scientific studies on the health effects of vehicle pollution as well as a quantitative assessment of the economic costs and the burden of illness attributed to traffic pollution in Toronto. The report also assessed air pollution and traffic trends in the city, and outlined initiatives being conducted to reduce vehicle-related pollution. The study used the new air quality benefits tool (AQBAT) which determines the burden of illness and the economic impacts of traffic-related air pollution. Air modelling specialists were consulted in order to determine the contribution of traffic-related pollutants to overall pollution levels using data on traffic counts and vehicle emissions factors. The air model also considered dispersion, transport and and the transformation of compounds emitted from vehicles. Results of the study showed that traffic pollution caused approximately 440 premature deaths and 1700 hospitalizations per year. Children in the city experienced more than 1200 acute bronchitis episodes per year as a result of air pollution from traffic. Mortality-related costs associated with traffic pollution in Toronto were estimated at $2.2 billion. It was concluded that the city must pursue the implementation of sustainable transportation policies and programs which foster and enable the expansion and use of public transport. 47 refs., 8 tabs., 9 figs.

  19. Air pollution monitor for TRISTAN

    International Nuclear Information System (INIS)

    In the summer of 1988, sixteen superconducting RF cavities were installed to increase the beam energy of TRISTAN and they began to be effective operation in November. One of the obvious problems created by the installation of superconducting equipment to the tunnel is oxygen-poor in case of bursting the liquefied gases. Air pollution in the tunnel from poisonous gases formed by synchrotron radiations is also becoming serious problem as upgrading TRISTAN. It is the purpose of this paper to show the special safety control problems and the system used in TRISTAN to give a solution for these problems. 3 refs., 5 figs., 1 tab

  20. Environmental Chemistry: Air and Water Pollution.

    Science.gov (United States)

    Stoker, H. Stephen; Seager, Spencer L.

    This is a book about air and water pollution whose chapters cover the topics of air pollution--general considerations, carbon monoxide, oxides of nitrogen, hydrocarbons and photochemical oxidants, sulfur oxides, particulates, temperature inversions and the greenhouse effect; and water pollution--general considerations, mercury, lead, detergents,…

  1. Evaluation of model-predicted hazardous air pollutants (HAPs) near a mid-sized U.S. airport

    Science.gov (United States)

    Vennam, Lakshmi Pradeepa; Vizuete, William; Arunachalam, Saravanan

    2015-10-01

    Accurate modeling of aircraft-emitted pollutants in the vicinity of airports is essential to study the impact on local air quality and to answer policy and health-impact related issues. To quantify air quality impacts of airport-related hazardous air pollutants (HAPs), we carried out a fine-scale (4 × 4 km horizontal resolution) Community Multiscale Air Quality model (CMAQ) model simulation at the T.F. Green airport in Providence (PVD), Rhode Island. We considered temporally and spatially resolved aircraft emissions from the new Aviation Environmental Design Tool (AEDT). These model predictions were then evaluated with observations from a field campaign focused on assessing HAPs near the PVD airport. The annual normalized mean error (NME) was in the range of 36-70% normalized mean error for all HAPs except for acrolein (>70%). The addition of highly resolved aircraft emissions showed only marginally incremental improvements in performance (1-2% decrease in NME) of some HAPs (formaldehyde, xylene). When compared to a coarser 36 × 36 km grid resolution, the 4 × 4 km grid resolution did improve performance by up to 5-20% NME for formaldehyde and acetaldehyde. The change in power setting (from traditional International Civil Aviation Organization (ICAO) 7% to observation studies based 4%) doubled the aircraft idling emissions of HAPs, but led to only a 2% decrease in NME. Overall modeled aircraft-attributable contributions are in the range of 0.5-28% near a mid-sized airport grid-cell with maximum impacts seen only within 4-16 km from the airport grid-cell. Comparison of CMAQ predictions with HAP estimates from EPA's National Air Toxics Assessment (NATA) did show similar annual mean concentrations and equally poor performance. Current estimates of HAPs for PVD are a challenge for modeling systems and refinements in our ability to simulate aircraft emissions have made only incremental improvements. Even with unrealistic increases in HAPs aviation emissions the model

  2. Domestic exposure to indoor air chemical pollutants : modeled exposure related to respiratory health effects in infancy : findings from the PARIS (Pollution and Asthma Risk an Infant Study) birth cohort

    OpenAIRE

    Roda, Célina

    2012-01-01

    There is a growing public health concern about indoor air quality due to the time spent indoors and the presence of numerous biological and chemical pollutants. Aims: To assess indoor chemical pollutant levels, to model domestic exposure and to examine the impact of indoor chemical pollutants on the respiratory health of infants from the PARIS birth cohort, during their first year of life. Methods: Multiple self-administered questionnaires were used to gather information from parents about re...

  3. DEVELOPMENTS AND APPLICATIONS OF CFD SIMULATIONS OF MICROMETEOROLOGY AND POLLUTION TRANSPORT IN SUPPORT OF AIR QUALITY MODELING

    Science.gov (United States)

    Development and application of computational fluid dynamics (CFD) simulations are being advanced through case studies for simulating air pollutant concentrations from sources within open fields and within complex urban building environments. CFD applications have been under deve...

  4. Study of Air Pollution Propagation in a Street Canyon by Means of Differential Absorption Lidar Monitoring and Physical Modelling

    Czech Academy of Sciences Publication Activity Database

    Střižík, M.; Zelinger, Zdeněk; Jaňour, Zbyněk; Berger, P.; Černý, A.; Civiš, Svatopluk; Engst, P.; Němcová, I.

    Praha, 2002. s. 226. [International Conference on High Resolution Molecular Spectroscopy /17./. 01.09.2002-05.09.2002, Praha] Institutional research plan: CEZ:AV0Z4040901 Keywords : spectroscopic * air pollution Subject RIV: CF - Physical ; Theoretical Chemistry

  5. Modelling traffic pollution in streets

    Energy Technology Data Exchange (ETDEWEB)

    Berkowicz, R.; Hertel, O. [National Environmental Research Inst., Dept. of Atmospheric Environment, Roskilde (Denmark); Larsen, S.E.; Soerensen, N.N.; Nielsen, M. [Risoe National Lab., Dept. of Meteorology and Wind Energy, Roskilde (Denmark)

    1997-01-01

    This report concerns mainly the subject related to modelling air pollution from traffic in urban streets. A short overview is presented over the theoretical aspects and examples of most commonly used methods and models are given. Flow and dispersion conditions in street canyons are discussed and the presentation is substantiated with the analysis of the experimental data. The main emphasis is on the modelling methods that are suitable for routine applications and a more detailed presentation is given of the Operational Street Pollution Model (OSPM), which was developed by the National Environmental Research Institute. The model is used for surveillance of air pollution from traffic in Danish cities and also for special air pollution studies. (au) 76 refs.

  6. Three-dimensional simulation model MODIS for the propagation of air-pollutants

    Energy Technology Data Exchange (ETDEWEB)

    Eppel, D.; Haeuser, J.; Mueller, A.

    1981-01-01

    A three-dimensional model is presented for the propagation of pollutants in the atmosphere. The moments of the unknown concentration distribution with respect to one horizontal coordinate (i.e. normalization, mean value, width, skewness, etc.) are determined by integrating numerically the pertaining transport equations over a vertical plane oriented in the main flow direction. The original three-dimensional distribution can then be reconstructed approximately. Partial absorption at the surface boundary as well as decay-, rainout-, and washout-processes may be simulated for various meteorological conditions. The numerical treatment of the transport equation is done within the frame of discrete-element techniques. The resulting equations are integrated by an explicit scheme.

  7. National implementation of the UNECE convention on long-range transboundary air pollution (effects). Pt. 1. Deposition loads: methods, modelling and mapping results, trends

    Energy Technology Data Exchange (ETDEWEB)

    Gauger, Thomas [Federal Agricultural Research Centre, Braunschweig (DE). Inst. of Agroecology (FAL-AOE); Stuttgart Univ. (Germany). Inst. of Navigation; Haenel, Hans-Dieter; Roesemann, Claus [Federal Agricultural Research Centre, Braunschweig (DE). Inst. of Agroecology (FAL-AOE)] (and others)

    2008-09-15

    The report on the implementation of the UNECE convention on long-range transboundary air pollution Pt.1, deposition loads (methods, modeling and mapping results, trends) includes the following chapters: Introduction, deposition on air pollutants used for the input for critical loads in exceeding calculations, methods applied for mapping total deposition loads, mapping wet deposition, wet deposition mapping results, mapping dry deposition, dry deposition mapping results, cloud and fog mapping results, total deposition mapping results, modeling the air concentration of acidifying components and heavy metals, agricultural emissions of acidifying and eutrophying species.

  8. Biological monitors of air pollution

    International Nuclear Information System (INIS)

    Direct biological monitoring of air pollution was introduced about 30 years ago. Although still under development, the application of biological monitors, or indicators, may provide important information on the levels, availability, and pathways of a variety of pollutants including heavy metals and other toxic trace elements in the air. A survey is given of the most frequently used biomonitors, such as herbaceous plants, tree leaves or needles, bryophytes, and lichens, with their possible advantages and/or limitations. In addition to using naturally-occurring biomonitors, a possibility of employing ''transplanted'' species in the study areas, for instance grasses grown in special containers in standard soils or lichens transplanted with their natural substrate to an exposition site, is also mentioned. Several sampling and washing procedures are reported. The important of employing nuclear analytical methods, especially instrumental neutron activation analysis, for multielemental analysis of biomonitors as a pre-requisite for unlocking the information contained in chemical composition of monitor's tissues, such as apportionment of emission sources using multivariate statistical procedures, is also outlined. (author). 32 refs, 2 figs

  9. Air pollution and congenital heart defects.

    Science.gov (United States)

    Agay-Shay, Keren; Friger, Michael; Linn, Shai; Peled, Ammatzia; Amitai, Yona; Peretz, Chava

    2013-07-01

    Environmental factors such as ambient air pollution have been associated with congenital heart defects. The aim of this study was to investigate the association between gestational exposure to air pollution and the risk of congenital heart defects. We conducted a registry-based cohort study with a total of 135,527 live- and still-births in the Tel-Aviv region during 2000-2006. We used a Geographic Information System-based spatiotemporal approach with weekly inverse distance weighting modeling to evaluate associations between gestational exposure to ambient air pollution during weeks 3-8 of pregnancy and the risk for congenital heart defects. The following pollutants were studied: carbon monoxide, nitrogen-dioxide, ozone, sulfur-dioxide and particulate matter with aerodynamic diameter smaller than 10 μm and 2.5 μm (PM10, PM2.5 respectively). Logistic models, adjusted for socio-demographic covariates were used to evaluate the associations. We found that maternal exposure to increased concentrations of PM10 was associated with multiple congenital heart defects (adjusted OR 1.05, 95% CI: 1.01 to 1.10 for 10 μg/m(3) increment). An inverse association was observed between concentrations of PM2.5 and isolated patent ductus arteriosus (adjusted OR 0.78, 95% CI: 0.68 to 0.91 for 5 µg/m(3) increment). Sensitivity analyses showed that results were consistent. Generally there were no evidence for an association between gaseous air pollutants and congenital heart defects.Our results for PM10 and congenital heart defects confirm results from previous studies. The results for PM2.5 need further investigations. PMID:23623715

  10. Analysis Of Highway Air Pollution

    Directory of Open Access Journals (Sweden)

    T.SUBRAMANI

    2014-06-01

    Full Text Available The traffic is growing at rapid rate in urban areas of India and the management of traffic operations on the limited road network of the cities has become a gigantic task to the concerned authorities. Despite the concerted efforts of concerned authorities aimed at augmenting road infrastructure, traffic congestion is continuing to increase leading to environmental degradation. Eventually, a major study was commissioned by the Government of India to quantify urban travel by road and associated air pollutants coming from automobile exhausts in eight cities namely, Delhi, Mumbai, Kolkata, Chennai, Bangalore, Hyderabad, Kanpur and Agra. The main objective was to make an accurate assessment of total number of vehicles and develop database and techniques to estimate road traffic and pollution loads in each city. This paper describes operating characteristics of traffic and quantification of traffic and air pollution loads (base and horizon year on major road network of Chennai city. Comparatively urbanization is moderate in India. This is because the major contributor to the Indian economy is agriculture and it is rural based. As per the Census of India 2001, the urban population of India is around 28 percent of the total population. This proportion of urban population has grown from ten percent in 1901 to twenty eight percent in 2001. The disturbing aspect of the urbanization trends in India is the skewed distribution of the urban population. Nearly seventy percent of the urban population is located in Class-I cities (i.e. population of 100 Thousand and above. Further, 38 percent of the total urban population is located in metropolitan cities (i.e. population of 1 million and above numbering about thirty-five. This heavy concentration of population in a few centers has resulted in the expansion of cities in density as well as area.

  11. A modelling system for predicting urban air pollution: model description and applications in the Helsinki metropolitan area

    International Nuclear Information System (INIS)

    We have developed a modelling system for evaluating the traffic volumes, emissions from stationary and vehicular sources, and atmospheric dispersion of pollution in an urban area. The dispersion modelling is based on combined application of the urban dispersion modelling system (UDM-FMI) and the road network dispersion model (CAR-FMI). The system includes also a meteorological preprocessing model and a statistical and graphical analysis of the computed time series of concentrations. The modelling system contains a method, which allows for the chemical interaction of pollutants, originating from a large number of urban sources. This paper presents an overview of the modelling system and its application for estimating the NOx and NO2 concentrations in the Helsinki metropolitan area in 1993. A companion paper addresses comparison of model predictions with the results of an urban measurement network. This modelling system is an important regulatory assessment tool for the national environmental authorities. (author)

  12. Pigeons home faster through polluted air

    Science.gov (United States)

    Li, Zhongqiu; Courchamp, Franck; Blumstein, Daniel T.

    2016-01-01

    Air pollution, especially haze pollution, is creating health issues for both humans and other animals. However, remarkably little is known about how animals behaviourally respond to air pollution. We used multiple linear regression to analyse 415 pigeon races in the North China Plain, an area with considerable air pollution, and found that while the proportion of pigeons successfully homed was not influenced by air pollution, pigeons homed faster when the air was especially polluted. Our results may be explained by an enhanced homing motivation and possibly an enriched olfactory environment that facilitates homing. Our study provides a unique example of animals’ response to haze pollution; future studies are needed to identify proposed mechanisms underlying this effect.

  13. A dynamic activity-based population modelling approach to evaluate exposure to air pollution: Methods and application to a Dutch urban area

    International Nuclear Information System (INIS)

    Recent air quality studies have highlighted that important differences in pollutant concentrations can occur over the day and between different locations. Traditional exposure analyses, however, assume that people are only exposed to pollution at their place of residence. Activity-based models, which recently have emerged from the field of transportation research, offer a technique to micro-simulate activity patterns of a population with a high resolution in space and time. Due to their characteristics, this model can be applied to establish a dynamic exposure assessment to air pollution. This paper presents a new exposure methodology, using a micro-simulator of activity-travel behaviour, to develop a dynamic exposure assessment. The methodology is applied to a Dutch urban area to demonstrate the advantages of the approach for exposure analysis. The results for the exposure to PM10 and PM2.5, air pollutants considered as hazardous for human health, reveal large differences between the static and the dynamic approach, mainly due to an underestimation of the number of hours spent in the urban region by the static method. We can conclude that this dynamic population modelling approach is an important improvement over traditional methods and offers a new and more sensitive way for estimating population exposure to air pollution. In the light of the new European directive, aimed at reducing the exposure of the population to PM2.5, this new approach contributes to a much more accurate exposure assessment that helps evaluate policies to reduce public exposure to air pollution

  14. On a pollution look; Sur un air de pollution

    Energy Technology Data Exchange (ETDEWEB)

    Garrec, J.P.; Monchicourt, M.O.

    2002-07-01

    The author, who is director of the laboratory of atmospheric pollution studies of the French national institute of agronomical research (INRA), answers the questions of a journalist about: how to detect air pollution, what are its causes, what are its impacts on health and environment, and what are the existing protection means against atmospheric pollution. (J.S.)

  15. Can the Air Pollution Index be used to communicate the health risks of air pollution?

    Science.gov (United States)

    Li, Li; Lin, Guo-Zhen; Liu, Hua-Zhang; Guo, Yuming; Ou, Chun-Quan; Chen, Ping-Yan

    2015-10-01

    The validity of using the Air Pollution Index (API) to assess health impacts of air pollution and potential modification by individual characteristics on air pollution effects remain uncertain. We applied distributed lag non-linear models (DLNMs) to assess associations of daily API, specific pollution indices for PM10, SO2, NO2 and the weighted combined API (APIw) with mortality during 2003-2011 in Guangzhou, China. An increase of 10 in API was associated with a 0.88% (95% confidence interval (CI): 0.50, 1.27%) increase of non-accidental mortality at lag 0-2 days. Harvesting effects appeared after 2 days' exposure. The effect estimate of API over lag 0-15 days was statistically significant and similar with those of pollutant-specific indices and APIw. Stronger associations between API and mortality were observed in the elderly, females and residents with low educational attainment. In conclusion, the API can be used to communicate health risks of air pollution. PMID:26057478

  16. Ambient air pollution and the fetus

    OpenAIRE

    Kadriye Yurdakök

    2013-01-01

    There is a growing evidence on the hazards of ambient air pollution on fetal development. Several review articles have been published on the adverse fetal outcomes including low birth weight, preterm birth, small-for-gestational age, and congenital anomalies. Recent studies have linked ambient air pollution to gestational hypertension, and preeclampsia which may be related to the detrimental effect of ambient air pollution on placental growth and function. Short-term and long-term exposure to...

  17. Urban air pollution climates throughout the world

    DEFF Research Database (Denmark)

    Hertel, Ole; Goodsite, Michael Evan

    2009-01-01

    The extent of the urban area, the local emission density, and the temporal pattern in the releases govern the local contribution to air pollution levels in urban environments. However, meteorological conditions also heavily affect the actual pollution levels as they govern the dispersion conditions...... air pollution climates, particulate pollution in general together with gaseous and particulate polycyclic aromatic hydrocarbons (PAHs) and heavy metals are those where further field measurements, characterization and laboratory studies are urgently needed in order to fully assess the health impact on...... the urban population and provide the right basis for future urban air pollution management. © Royal Society of Chemistry 2009....

  18. Air pollution and sick-leaves. A case study using air pollution data from Oslo

    International Nuclear Information System (INIS)

    During the last decade an increasing amount of studies have investigated the relationship between air pollution and human health effects. In this study we investigate how these effects in turn induce reduced labour productivity in terms of sick-leaves, which is an important factor in assessment of air pollution costs in urban areas. For this purpose we employ a logit model along with data on sick-leaves from a large office in Oslo and different air pollutants. Our results indicate that sick-leaves are significantly associated with particulate matter (PM10), while the associations with SO2 and NO2 are more ambiguous. We also try to estimate the induced social costs in terms of lost labour productivity and increased governmental expenditures, although these estimates are more uncertain. 17 refs

  19. PUBLICATIONS (AIR POLLUTION TECHNOLOGY BRANCH, AIR POLLUTION PREVENTION AND CONTROL DIVISION, NRMRL)

    Science.gov (United States)

    The Air Pollution Technology Branch (APTB) of NRMRL's Air Pollution Prevention and Control Division produces and publishes highly specialized technical and scientific documents related to APTB's research. Areas of research covered include artificial intelligence, CFC destruction,...

  20. Impact of air pollutants from surface transport sources on human health: A modeling and epidemiological approach.

    Science.gov (United States)

    Aggarwal, Preeti; Jain, Suresh

    2015-10-01

    This study adopted an integrated 'source-to-receptor' assessment paradigm in order to determine the effects of emissions from passenger transport on urban air quality and human health in the megacity, Delhi. The emission modeling was carried out for the base year 2007 and three alternate (ALT) policy scenarios along with a business as usual (BAU) scenario for the year 2021. An Activity-Structure-Emission Factor (ASF) framework was adapted for emission modeling, followed by a grid-wise air quality assessment using AERMOD and a health impact assessment using an epidemiological approach. It was observed that a 2021-ALT-III scenario resulted in a maximum concentration reduction of ~24%, ~42% and ~58% for carbon monoxide (CO), nitrogen dioxide (NO2) and particulate matter (PM), respectively, compared to a 2021-BAU scenario. Further, it results in significant reductions in respiratory and cardiovascular mortality, morbidity and Disability Adjusted Life Years (DALY) by 41% and 58% on exposure to PM2.5 and NO2 concentrations when compared to the 2021-BAU scenario, respectively. In other words, a mix of proposed policy interventions namely the full-phased introduction of the Integrated Mass Transit System, fixed bus speed, stringent vehicle emission norms and a hike in parking fees for private vehicles would help in strengthening the capability of passenger transport to cater to a growing transport demand with a minimum health burden in the Delhi region. Further, the study estimated that the transport of goods would be responsible for ~5.5% additional VKT in the 2021-BAU scenario; however, it will contribute ~49% and ~55% additional NO2 and PM2.5 concentrations, respectively, in the Delhi region. Implementation of diesel particulate filters for goods vehicles in the 2021-ALT-IV-O scenario would help in the reduction of ~87% of PM2.5 concentration, compared to the 2021-BAU scenario; translating into a gain of 1267 and 505 DALY per million people from exposure to PM2.5 and NO

  1. Combined air and water pollution control system

    Science.gov (United States)

    Wolverton, Billy C. (Inventor); Jarrell, Lamont (Inventor)

    1990-01-01

    A bioaquatic air pollution control system for controlling both water and atmospheric pollution is disclosed. The pollution control system includes an exhaust for directing polluted gases out of a furnace and a fluid circulating system which circulates fluid, such as waste water, from a source, past the furnace where the fluid flow entrains the pollutants from the furnace. The combined fluid and pollutants are then directed through a rock/plant/microbial filtering system. A suction pump pumps the treated waste water from the filter system past the exhaust to again entrain more pollutants from the furnace where they are combined with the fluid (waste water) and directed to the filter system.

  2. GPS-based Microenvironment Tracker (MicroTrac) Model to Estimate Time-Location of Individuals for Air Pollution Exposure Assessments: Model Evaluation in Central North Carolina

    Science.gov (United States)

    A critical aspect of air pollution exposure assessment is the estimation of the time spent by individuals in various microenvironments (ME). Accounting for the time spent in different ME with different pollutant concentrations can reduce exposure misclassifications, while failure...

  3. APEX (Air Pollution Exercise) Volume 21: Legal References: Air Pollution Control Regulations.

    Science.gov (United States)

    Environmental Protection Agency, Research Triangle Park, NC. Office of Manpower Development.

    The Legal References: Air Pollution Control Regulations Manual is the last in a set of 21 manuals (AA 001 009-001 029) used in APEX (Air Pollution Exercise), a computerized college and professional level "real world" game simulation of a community with urban and rural problems, industrial activities, and air pollution difficulties. The manual…

  4. Can the Air Pollution Index be used to communicate the health risks of air pollution?

    International Nuclear Information System (INIS)

    The validity of using the Air Pollution Index (API) to assess health impacts of air pollution and potential modification by individual characteristics on air pollution effects remain uncertain. We applied distributed lag non-linear models (DLNMs) to assess associations of daily API, specific pollution indices for PM10, SO2, NO2 and the weighted combined API (APIw) with mortality during 2003–2011 in Guangzhou, China. An increase of 10 in API was associated with a 0.88% (95% confidence interval (CI): 0.50, 1.27%) increase of non-accidental mortality at lag 0–2 days. Harvesting effects appeared after 2 days’ exposure. The effect estimate of API over lag 0–15 days was statistically significant and similar with those of pollutant-specific indices and APIw. Stronger associations between API and mortality were observed in the elderly, females and residents with low educational attainment. In conclusion, the API can be used to communicate health risks of air pollution. - Highlights: • The cumulative effects of API on mortality over lag 0–15 days remained significant. • The indices for three specific pollutants had similar associations with mortality. • The effects of API were modified by age, gender and educational attainment. • Our findings can help to communicate health risks of air pollution to the public. - The Air Pollution Index communicates health risks of air pollution

  5. Study on an Air Quality Evaluation Model for Beijing City Under Haze-Fog Pollution Based on New Ambient Air Quality Standards

    OpenAIRE

    Li Li(State Key Laboratory of Theoretical Physics, Institute of Theoretical Physics, Chinese Academy of Sciences, Beijing 100190, China); Dong-Jun Liu

    2014-01-01

    Since 2012, China has been facing haze-fog weather conditions, and haze-fog pollution and PM2.5 have become hot topics. It is very necessary to evaluate and analyze the ecological status of the air environment of China, which is of great significance for environmental protection measures. In this study the current situation of haze-fog pollution in China was analyzed first, and the new Ambient Air Quality Standards were introduced. For the issue of air quality evaluation, a comprehensive eval...

  6. Personal exposure of children to air pollution

    Science.gov (United States)

    Ashmore, M. R.; Dimitroulopoulou, C.

    Changes over recent decades in outdoor concentrations of air pollutants are well documented. However, the impacts of air pollution on an individual's health actually relate not to these outdoor concentrations but to their personal exposure in the different locations in which they spend time. Assessing how personal exposures differ from outdoor concentrations, and how they have changed over recent decades, is challenging. This review focuses on the exposure of children, since they are a particularly sensitive group. Much of children's time is spent indoors, and childhood exposure is closely related to concentrations in the home, at school, and in transport. For this reason, children's personal exposures to air pollutants differ significantly from both those of adults and from outdoor concentrations. They depend on a range of factors, including urbanisation, energy use, building design, travel patterns, and activity profiles; analysis of these factors can identify a wider range of policy measures to reduce children's exposure than direct emission control. There is a very large variation in personal exposure between individual children, caused by differences in building design, indoor and outdoor sources, and activity patterns. Identifying groups of children with high personal exposure, and their underlying causes, is particularly important in regions of the world where emissions are increasing, but there are limited resources for environmental and health protection. Although the science of personal exposure assessment, with the associated measurement and modelling techniques, has developed to maturity in North America and western Europe over the last 50 years, there is an urgent need to apply this science in other parts of the world where the effects of air pollution are now much more serious.

  7. Ambient air pollution and low birthweight

    DEFF Research Database (Denmark)

    Pedersen, Marie; Giorgis-Allemand, Lise; Bernard, Claire;

    2013-01-01

    BACKGROUND: Ambient air pollution has been associated with restricted fetal growth, which is linked with adverse respiratory health in childhood. We assessed the effect of maternal exposure to low concentrations of ambient air pollution on birthweight. METHODS: We pooled data from 14 population...

  8. Air pollution and human fertility rates

    NARCIS (Netherlands)

    Nieuwenhuijsen, Mark J.; Basagaña, Xavier; Dadvand, Payam; Martinez, David; Cirach, Marta; Beelen, Rob; Jacquemin, Bénédicte

    2014-01-01

    Background: Some reports have suggested effects of air pollution on semen quality and success rates of in vitro fertilization (IVF) in humans and lower fertility rates in mice. However, no studies have evaluated the impact of air pollution on human fertility rates. Aims: We assessed the association

  9. Air pollution restrictions in electrical production system

    International Nuclear Information System (INIS)

    A description of the principal characteristics regarding the Italian electrical power system and the evolution of standardization in air pollution control is given. Afterwards, ENEL (the Italian National Electricity Board) actions in the environmental protection field (with particular respect to thermo-electrical production) are presented. Finally, principal ENEL research programs on new air pollution control technologies are discussed

  10. Measurement of Air Pollutants in the Troposphere

    Science.gov (United States)

    Clemitshaw, Kevin C.

    2011-01-01

    This article describes the principles, applications and performances of methods to measure gas-phase air pollutants that either utilise passive or active sampling with subsequent laboratory analysis or involve automated "in situ" sampling and analysis. It focuses on air pollutants that have adverse impacts on human health (nitrogen dioxide, carbon…

  11. Controlling Indoor Air Pollution from Moxibustion

    Directory of Open Access Journals (Sweden)

    Chung-Yen Lu

    2016-06-01

    Full Text Available Indoor air quality (IAQ control of hospitals plays a critical role in protecting both hospital staffs and patients, particularly those who are highly susceptible to the adverse effects of indoor noxious hazards. However, moxibustion in outpatient departments (OPDs of traditional Chinese medicine (TCM may be a source of indoor air pollution in hospitals. Some studies have investigated indoor air pollution during moxibustion in Chinese medicine clinics (CMCs and moxibustion rooms, demonstrating elevated air pollutants that pose a threat to the health of medical staff and patients. Our study investigated the indoor air pollutants of indoor carbon dioxide (CO2, carbon monoxide (CO, formaldehyde (HCHO, total volatile organic compounds (TVOCs, airborne particulate matter with a diameter of ≤10 µm (PM10 and ≤2.5 µm (PM2.5 during moxibustion in an acupuncture and moxibustion room of the OPD in a hospital in Taipei. To evaluate the different control strategies for indoor air pollution from moxibution, a comparison of air pollutants during moxibution among the methods of using alternative old moxa wools, local exhaust ventilation and an air cleaner was conducted. In this study, burning alternative old moxa wools for moxibustion obviously reduced all gaseous pollutants except for aerosols comparing burning fresh moxa wools. Using local exhaust ventilation reduced most of the aerosols after burning moxa. We also found that using an air cleaner was inefficient for controlling indoor air pollutants, particularly gaseous pollutants. Therefore, combining replacing alternative old moxa wools and local exhaust ventilation could be a suitable design for controlling indoor air pollution during moxibustion therapy.

  12. Controlling Indoor Air Pollution from Moxibustion

    Science.gov (United States)

    Lu, Chung-Yen; Kang, Sy-Yuan; Liu, Shu-Hui; Mai, Cheng-Wei; Tseng, Chao-Heng

    2016-01-01

    Indoor air quality (IAQ) control of hospitals plays a critical role in protecting both hospital staffs and patients, particularly those who are highly susceptible to the adverse effects of indoor noxious hazards. However, moxibustion in outpatient departments (OPDs) of traditional Chinese medicine (TCM) may be a source of indoor air pollution in hospitals. Some studies have investigated indoor air pollution during moxibustion in Chinese medicine clinics (CMCs) and moxibustion rooms, demonstrating elevated air pollutants that pose a threat to the health of medical staff and patients. Our study investigated the indoor air pollutants of indoor carbon dioxide (CO2), carbon monoxide (CO), formaldehyde (HCHO), total volatile organic compounds (TVOCs), airborne particulate matter with a diameter of ≤10 µm (PM10) and ≤2.5 µm (PM2.5) during moxibustion in an acupuncture and moxibustion room of the OPD in a hospital in Taipei. To evaluate the different control strategies for indoor air pollution from moxibution, a comparison of air pollutants during moxibution among the methods of using alternative old moxa wools, local exhaust ventilation and an air cleaner was conducted. In this study, burning alternative old moxa wools for moxibustion obviously reduced all gaseous pollutants except for aerosols comparing burning fresh moxa wools. Using local exhaust ventilation reduced most of the aerosols after burning moxa. We also found that using an air cleaner was inefficient for controlling indoor air pollutants, particularly gaseous pollutants. Therefore, combining replacing alternative old moxa wools and local exhaust ventilation could be a suitable design for controlling indoor air pollution during moxibustion therapy. PMID:27331817

  13. A technical overview of air pollution problems and its control

    International Nuclear Information System (INIS)

    Air pollution is a well known phenomenon experienced in every day life. The air we breathe consist of gases and aerosol particles on which pollutants such as toxic elements and bacteria reside. These microscopic particles are transported to long distances from the source of origin the direction and magnitude of which depends upon the prevailing meteorological conditions. In order to assess the impact of air pollution, systematic studies are carried out which consist of: 1) sampling of air, 2) measurement of pollutants, 3) identification of pollutant source and 4) adoption of control methods. Each of these topics are fairly exhaustive and their understanding requires accurate scientific approach. An overview of these topic has been presented in this talk. Air samples are best collected by filtering air through suitable medium and analyses are carried out by diverse analytical techniques. Source identifications is a very important step which is done either by emission modeling or receptor modeling techniques. A general survey of these techniques, especially receptor modeling is presented in this talk. The control of air pollution is carried out by using carried devices and the processes especially developed for this purpose. Air pollution has given rise to a number of global problems such as depletion of stratospheric ozone, acid rain and greenhouse effect, which are being tackled on international scale. These problems have been discussed very briefly and a summary of international efforts has been presented. (author)

  14. Modeling for planning municipal electric power systems associated with air pollution control – A case study of Beijing

    International Nuclear Information System (INIS)

    In this study, an IFJMP (interval-parameter full-infinite joint-probabilistic mixed-integer programming) method is developed for supporting EPS (electric power systems) management. The IFJMP-EPS model cannot only deal with uncertainties expressed as joint probabilities, crisp interval values and functional intervals, but also examine the risk of violating joint-probabilistic constraints. The developed IFJMP-EPS model is then applied to a case study for planning EPS of Beijing within a multi-energy resource, multi-electric power plant and multi-period context, where MILP (mixed integer linear programming technique is employed to facilitate dynamic analysis for decisions of facility-capacity expansion. With the aid of IFJMP, tradeoffs among system costs, electricity-supply security, and air-pollution control can be obtained under joint probabilities. The results can be used to help managers to identify desired system designs and to determine which of these designs can most efficiently accomplish optimizing the system objective under uncertainty. The results can also address the challenges generated in the processes of electric-power production (such as imbalance between electricity supply and demand, the contradiction between air pollution emission and environmental protection); this allows an increased robustness in controlling electricity-generation and -supply risk for Beijing's EPS under various complexities and uncertainties. - Highlights: • An innovative optimization method is developed for tackling uncertainties. • It can reflect the risk of violating system constraints under joint probability. • The developed method is applied to planning electric power systems of Beijing. • Solutions related to electricity supply and capacity expansion are obtained. • Results can generate the city's energy policy to satisfy different objectives

  15. Air Pollution and Environmental Justice Awareness

    Science.gov (United States)

    Bouvier-Brown, N. C.

    2014-12-01

    Air pollution is not equally dispersed in all neighborhoods and this raises many social concerns, such as environmental justice. "Real world" data, whether extracted from online databases or collected in the field, can be used to demonstrate air quality patterns. When students explore these trends, they not only learn about atmospheric chemistry, but they also become socially aware of any inequities. This presentation outlines specific ways to link air pollution and environmental justice suitable for an undergraduate upper division Air Pollution or Atmospheric Chemistry course.

  16. Land use regression modeling of intra-urban residential variability in multiple traffic-related air pollutants

    Directory of Open Access Journals (Sweden)

    Baxter Lisa K

    2008-05-01

    Full Text Available Abstract Background There is a growing body of literature linking GIS-based measures of traffic density to asthma and other respiratory outcomes. However, no consensus exists on which traffic indicators best capture variability in different pollutants or within different settings. As part of a study on childhood asthma etiology, we examined variability in outdoor concentrations of multiple traffic-related air pollutants within urban communities, using a range of GIS-based predictors and land use regression techniques. Methods We measured fine particulate matter (PM2.5, nitrogen dioxide (NO2, and elemental carbon (EC outside 44 homes representing a range of traffic densities and neighborhoods across Boston, Massachusetts and nearby communities. Multiple three to four-day average samples were collected at each home during winters and summers from 2003 to 2005. Traffic indicators were derived using Massachusetts Highway Department data and direct traffic counts. Multivariate regression analyses were performed separately for each pollutant, using traffic indicators, land use, meteorology, site characteristics, and central site concentrations. Results PM2.5 was strongly associated with the central site monitor (R2 = 0.68. Additional variability was explained by total roadway length within 100 m of the home, smoking or grilling near the monitor, and block-group population density (R2 = 0.76. EC showed greater spatial variability, especially during winter months, and was predicted by roadway length within 200 m of the home. The influence of traffic was greater under low wind speed conditions, and concentrations were lower during summer (R2 = 0.52. NO2 showed significant spatial variability, predicted by population density and roadway length within 50 m of the home, modified by site characteristics (obstruction, and with higher concentrations during summer (R2 = 0.56. Conclusion Each pollutant examined displayed somewhat different spatial patterns

  17. FORMAL UNCERTAINTY ANALYSIS OF A LAGRANGIAN PHOTOCHEMICAL AIR POLLUTION MODEL. (R824792)

    Science.gov (United States)

    This study applied Monte Carlo analysis with Latinhypercube sampling to evaluate the effects of uncertaintyin air parcel trajectory paths, emissions, rate constants,deposition affinities, mixing heights, and atmospheric stabilityon predictions from a vertically...

  18. Anisotropic diffusion of volatile pollutants at air-water interface

    Directory of Open Access Journals (Sweden)

    Li-ping CHEN

    2013-04-01

    Full Text Available The volatile pollutants that spill into natural waters cause water pollution. Air pollution arises from the water pollution because of volatilization. Mass exchange caused by turbulent fluctuation is stronger in the direction normal to the air-water interface than in other directions due to the large density difference between water and air. In order to explore the characteristics of anisotropic diffusion of the volatile pollutants at the air-water interface, the relationship between velocity gradient and mass transfer rate was established to calculate the turbulent mass diffusivity. A second-order accurate smooth transition differencing scheme (STDS was proposed to guarantee the boundedness for the flow and mass transfer at the air-water interface. Simulations and experiments were performed to study the trichloroethylene (C2HCl3 release. By comparing the anisotropic coupling diffusion model, isotropic coupling diffusion model, and non-coupling diffusion model, the features of the transport of volatile pollutants at the air-water interface were determined. The results show that the anisotropic coupling diffusion model is more accurate than the isotropic coupling diffusion model and non-coupling diffusion model. Mass transfer significantly increases with the increase of the air-water relative velocity at a low relative velocity. However, at a higher relative velocity, an increase in the relative velocity has no effect on mass transfer.

  19. Anisotropic diffusion of volatile pollutants at air-water interface

    Institute of Scientific and Technical Information of China (English)

    Li-ping CHEN; Jing-tao CHENG; Guang-fa DENG

    2013-01-01

    The volatile pollutants that spill into natural waters cause water pollution. Air pollution arises from the water pollution because of volatilization. Mass exchange caused by turbulent fluctuation is stronger in the direction normal to the air-water interface than in other directions due to the large density difference between water and air. In order to explore the characteristics of anisotropic diffusion of the volatile pollutants at the air-water interface, the relationship between velocity gradient and mass transfer rate was established to calculate the turbulent mass diffusivity. A second-order accurate smooth transition differencing scheme (STDS) was proposed to guarantee the boundedness for the flow and mass transfer at the air-water interface. Simulations and experiments were performed to study the trichloroethylene (C2HCl3) release. By comparing the anisotropic coupling diffusion model, isotropic coupling diffusion model, and non-coupling diffusion model, the features of the transport of volatile pollutants at the air-water interface were determined. The results show that the anisotropic coupling diffusion model is more accurate than the isotropic coupling diffusion model and non-coupling diffusion model. Mass transfer significantly increases with the increase of the air-water relative velocity at a low relative velocity. However, at a higher relative velocity, an increase in the relative velocity has no effect on mass transfer.

  20. Measurement and modeling of short- and long-term commuter exposure to traffic-related air pollution

    OpenAIRE

    Ragettli, Martina Simone

    2015-01-01

    Background. Many epidemiological studies have reported associations between traffic-related air pollu¬tion exposure and acute and chronic health problems. Exposure assignment in those stud¬ies has typically relied on home outdoor locations and ignored exposure during commuting and at non-residential locations. However, because of high concentrations of harmful air pollutants in proximity to traffic, time spent in transport may contribute considerably to a person’s total daily exposure to traf...

  1. Air pollutant production by algal cell cultures

    Science.gov (United States)

    Fong, F.; Funkhouser, E. A.

    1982-01-01

    The production of phytotoxic air pollutants by cultures of Chlorella vulgaris and Euglena gracilis is considered. Algal and plant culture systems, a fumigation system, and ethylene, ethane, cyanide, and nitrogen oxides assays are discussed. Bean, tobacco, mustard green, cantaloupe and wheat plants all showed injury when fumigated with algal gases for 4 hours. Only coleus plants showed any resistance to the gases. It is found that a closed or recycled air effluent system does not produce plant injury from algal air pollutants.

  2. Some measurements of ambient air pollution

    International Nuclear Information System (INIS)

    Ambient air pollution arising from different sources in Karachi and its surroundings has been studied. The urban centres like Karachi are mostly confronted with eye-irritation, reduce visibility, heart-diseases, nervous disorder, smog and other unpleasant experiences. In this paper quantitative estimations of some air-pollutants such as sulphur dioxide, carbon monoxide, oxides of nitrogen, chlorine and particular matters are presented with their hazardous effects. The remedial measures for the control of major air emissions are also discussed. (author)

  3. Controlling Indoor Air Pollution from Moxibustion

    OpenAIRE

    Chung-Yen Lu; Sy-Yuan Kang; Shu-Hui Liu; Cheng-Wei Mai; Chao-Heng Tseng

    2016-01-01

    Indoor air quality (IAQ) control of hospitals plays a critical role in protecting both hospital staffs and patients, particularly those who are highly susceptible to the adverse effects of indoor noxious hazards. However, moxibustion in outpatient departments (OPDs) of traditional Chinese medicine (TCM) may be a source of indoor air pollution in hospitals. Some studies have investigated indoor air pollution during moxibustion in Chinese medicine clinics (CMCs) and moxibustion rooms, demonstra...

  4. Air pollution: UNCED convention on climate change

    International Nuclear Information System (INIS)

    In addition to United Nations papers delineating the Organization's convention on climate change and strategies concerning the protection of the earth's atmosphere, this booklet presents four papers expressing the views of Italian and American strategists. The central theme is the establishment of current global air pollution trends, the determination of suitable air pollution limits, and the preparation of feasible socio-economic strategies to allow industrialized and developing countries to work together effectively to achieve the proposed global air quality goals

  5. Measurement and Modeling of NO2 Traffic-Related Air Pollution in Doha, Qatar

    OpenAIRE

    Al-Naimi, Noora Abdulla

    2013-01-01

    Six major intersections along C-ring road of Qatar were investigated for NO2 emission. NO2 is considered to be a marker of vehicular pollution thus in this study, its relationship was established with traffic volume in each intersection during December 2012 and March-April 2013. Significant differences were established between the NO2 concentration in each intersection. Higher concentrations were observed in areas with high traffic volume. The magnitude of the dispersion of the NO2 emission ...

  6. ADVECTION - DIFFUSION NUMERICAL MODEL OF AN AIR POLLUTANT EMITTED FROM AN AREA SOURCE OF PRIMARY POLLUTANT WITH CHEMICAL REACTION AND DRY DEPOSITION

    Directory of Open Access Journals (Sweden)

    SUDHEER PAI K L

    2012-01-01

    Full Text Available A time dependent two dimensional advection-diffusion numerical model for primary pollutant with chemical reaction and dry deposition for an urban area is presented. The proposed numerical model takes into account of realistic form of variable wind velocity and eddy diffusivity profiles. The partial differential equation of primarypollutant is solved by using Crank-Nicolson implicit finite difference technique. The results are plotted for concentration of primary pollutant and the effect of chemical reaction and dry deposition on the dispersion of pollutant are analysed extensively.

  7. Progress in the prevention and control of air pollution in 1988: Report to congress. Annual report

    International Nuclear Information System (INIS)

    Contents of this study: air quality trends, monitoring, and modeling; air pollution research programs; development of national ambient air; quality standards; assessment and control of toxic air pollutants; status of air quality management programs; control of stationary source emissions; stationary source compliance; control of mobile source emissions; stratospheric ozone protection; indoor air quality; acid deposition; radon assessment and remediation; litigation

  8. Air pollution and the respiratory system.

    Science.gov (United States)

    Arbex, Marcos Abdo; Santos, Ubiratan de Paula; Martins, Lourdes Conceição; Saldiva, Paulo Hilário Nascimento; Pereira, Luiz Alberto Amador; Braga, Alfésio Luis Ferreira

    2012-01-01

    Over the past 250 years-since the Industrial Revolution accelerated the process of pollutant emission, which, until then, had been limited to the domestic use of fuels (mineral and vegetal) and intermittent volcanic emissions-air pollution has been present in various scenarios. Today, approximately 50% of the people in the world live in cities and urban areas and are exposed to progressively higher levels of air pollutants. This is a non-systematic review on the different types and sources of air pollutants, as well as on the respiratory effects attributed to exposure to such contaminants. Aggravation of the symptoms of disease, together with increases in the demand for emergency treatment, the number of hospitalizations, and the number of deaths, can be attributed to particulate and gaseous pollutants, emitted by various sources. Chronic exposure to air pollutants not only causes decompensation of pre-existing diseases but also increases the number of new cases of asthma, COPD, and lung cancer, even in rural areas. Air pollutants now rival tobacco smoke as the leading risk factor for these diseases. We hope that we can impress upon pulmonologists and clinicians the relevance of investigating exposure to air pollutants and of recognizing this as a risk factor that should be taken into account in the adoption of best practices for the control of the acute decompensation of respiratory diseases and for maintenance treatment between exacerbations. PMID:23147058

  9. Large scale air pollution estimation method combining land use regression and chemical transport modeling in a geostatistical framework

    NARCIS (Netherlands)

    Akita, Yasuyuki; Baldasano, Jose M.; Beelen, Rob; Cirach, Marta; De Hoogh, Kees; Hoek, Gerard; Nieuwenhuijsen, Mark; Serre, Marc L.; De Nazelle, Audrey

    2014-01-01

    In recognition that intraurban exposure gradients may be as large as between-city variations, recent air pollution epidemiologic studies have become increasingly interested in capturing within-city exposure gradients. In addition, because of the rapidly accumulating health data, recent studies also

  10. The impact of the congestion charging scheme on air quality in London. Part 1. Emissions modeling and analysis of air pollution measurements.

    Science.gov (United States)

    Kelly, Frank; Anderson, H Ross; Armstrong, Ben; Atkinson, Richard; Barratt, Ben; Beevers, Sean; Derwent, Dick; Green, David; Mudway, Ian; Wilkinson, Paul

    2011-04-01

    On February 17, 2003, a congestion charging scheme (CCS*) was introduced in central London along with a program of traffic management measures. The scheme operated Monday through Friday, 7 AM to 6 PM. This program resulted in an 18% reduction in traffic volume and a 30% reduction in traffic congestion in the first year (2003). We developed methods to evaluate the possible effects of the scheme on air quality: We used a temporal-spatial design in which modeled and measured air quality data from roadside and background monitoring stations were used to compare time periods before (2001-2002) and after (2003-2004) the CCS was introduced and to compare the spatial area of the congestion charging zone (CCZ) with the rest of London. In the first part of this project, we modeled changes in concentrations of oxides of nitrogen (NOx), nitrogen dioxide (NO2), and PM10 (particles with a mass median aerodynamic diameter measurements obtained from the London Air Quality Network (LAQN) for air pollution monitors sited to measure roadside and urban background concentrations. Fully ratified (validated) 15-minute mean carbon monoxide (CO), nitric oxide (NO), NO2, NOx, PM10, and PM2.5 data from each chosen monitoring site for the period from February 17, 2001, to February 16, 2005, were transferred from the LAQN database. In the third part of our project, these data were used to compare geometric means for the 2 years before and the 2 years after the CCS was introduced. Temporal changes within the CCZ were compared with changes, over the same period, at similarly sited (roadside or background) monitors in a control area 8 km distant from the center of the CCZ. The analysis was confined to measurements obtained during the hours and days on which the scheme was in operation and focused on pollutants derived from vehicles (NO, NO2, NOx, PM10, and CO). This set of analyses was based on the limited data available from within the CCZ. When compared with data from outside the zone, we did

  11. Hazardous air pollutant emissions from process units in the synthetic organic chemical manufacturing industry: Background information for proposed standards. Volume 1C. Model emission sources. Draft report

    Energy Technology Data Exchange (ETDEWEB)

    1992-11-01

    A draft rule for the regulation of emissions of organic hazardous air pollutants (HAP's) from chemical processes of the synthetic organic chemical manufacturing industry (SOCMI) is being proposed under the authority of Sections 112, 114, 116, and 301 of the Clean Air Act, as amended in 1990. The volume of the Background Information Document presents model emission sources that were developed to evaluate the national impacts of the proposed rule.

  12. BLUME - the Berlin air pollution monitoring network

    International Nuclear Information System (INIS)

    This report compiles the BLUME air pollution chracteristics obtained in winter 1987/88. Figures and tables summarize and compare the measuring results obtained for sulfur dioxide, airborne particles, carbon monoxide, nitrogen oxides and ozone. Air pollution in winter 1987/88 was not as critical as in the previous years. The 1987/88 mean sulfur dioxide concentrations were found to be the lowest values determined since BLUME measurements started in 1975, and the mean values obtained for airborne particles and for most of the remaining pollutants were lower than in the previous year. The causes of these relatively low pollutant concentrations are discussed. (orig./BBR)

  13. Long-term exposure to air pollution and cardiovascular mortality

    DEFF Research Database (Denmark)

    Beelen, Rob; Stafogguiia, Massimo; Raaschou-Nielsen, Ole;

    2014-01-01

    BACKGROUND: Air pollution has been associated with cardiovascular mortality, but it remains unclear as to whether specific pollutants are related to specific cardiovascular causes of death. Within the multicenter European Study of Cohorts for Air Pollution Effects (ESCAPE), we investigated the...... associations of long-term exposure to several air pollutants with all cardiovascular disease (CVD) mortality, as well as with specific cardiovascular causes of death. METHODS: Data from 22 European cohort studies were used. Using a standardized protocol, study area-specific air pollution exposure at the...... residential address was characterized as annual average concentrations of the following: nitrogen oxides (NO2 and NOx); particles with diameters of less than 2.5 μm (PM2.5), less than 10 μm (PM10), and 10 μm to 2.5 μm (PMcoarse); PM2.5 absorbance estimated by land-use regression models; and traffic indicators...

  14. RESEARCH AREA -- ARTIFICIAL INTELLIGENCE CONTROL (AIR POLLUTION TECHNOLOGY BRANCH, AIR POLLUTION PREVENTION AND CONTROL DIVISION, NRMRL)

    Science.gov (United States)

    The Air Pollution Technology Branch (APTB) of NRMRL's Air Pollution Prevention and Control Division in Research Triangle Park, NC, has conducted several research projects for evaluating the use of artificial intelligence (AI) to improve the control of pollution control systems an...

  15. Mathematical study of chemical kinetics schemes. Application to air pollution models; Etude mathematique de schemas de cinetique chimique. Application a des modeles de pollution atmospherique

    Energy Technology Data Exchange (ETDEWEB)

    Billette, E.

    1997-06-23

    Complex chemical kinetics modelling is relevant in numerous fields related to the petroleum industry, for instance engine combustion, petrochemistry and atmospheric pollution. Many numerical difficulties are encountered in the computation of these models, mainly due to the large size, the non-linearity and the stiffness of the associated ordinary differential systems. We first studied systems that have an asymptotic behaviour which may be derived from an algebraic analysis. Then we reviewed different methods that make possible the reduction of size and stiffness for chemical kinetics-related differential systems, and suggest possible improvements for some of those methods. We also studied their application to atmospheric chemistry models. Finally, we started to extend those reduction methods to partial differential systems that include, in addition to chemical kinetics, other phenomena such as species emission, advection or diffusion. (author) 44 refs.

  16. Comparison of Highly Resolved Model-Based Exposure Metrics for Traffic-Related Air Pollutants to Support Environmental Health Studies

    Directory of Open Access Journals (Sweden)

    Shih Ying Chang

    2015-12-01

    Full Text Available Human exposure to air pollution in many studies is represented by ambient concentrations from space-time kriging of observed values. Space-time kriging techniques based on a limited number of ambient monitors may fail to capture the concentration from local sources. Further, because people spend more time indoors, using ambient concentration to represent exposure may cause error. To quantify the associated exposure error, we computed a series of six different hourly-based exposure metrics at 16,095 Census blocks of three Counties in North Carolina for CO, NOx, PM2.5, and elemental carbon (EC during 2012. These metrics include ambient background concentration from space-time ordinary kriging (STOK, ambient on-road concentration from the Research LINE source dispersion model (R-LINE, a hybrid concentration combining STOK and R-LINE, and their associated indoor concentrations from an indoor infiltration mass balance model. Using a hybrid-based indoor concentration as the standard, the comparison showed that outdoor STOK metrics yielded large error at both population (67% to 93% and individual level (average bias between −10% to 95%. For pollutants with significant contribution from on-road emission (EC and NOx, the on-road based indoor metric performs the best at the population level (error less than 52%. At the individual level, however, the STOK-based indoor concentration performs the best (average bias below 30%. For PM2.5, due to the relatively low contribution from on-road emission (7%, STOK-based indoor metric performs the best at both population (error below 40% and individual level (error below 25%. The results of the study will help future epidemiology studies to select appropriate exposure metric and reduce potential bias in exposure characterization.

  17. Evaluating strategies to reduce urban air pollution

    Science.gov (United States)

    Duque, L.; Relvas, H.; Silveira, C.; Ferreira, J.; Monteiro, A.; Gama, C.; Rafael, S.; Freitas, S.; Borrego, C.; Miranda, A. I.

    2016-02-01

    During the last years, specific air quality problems have been detected in the urban area of Porto (Portugal). Both PM10 and NO2 limit values have been surpassed in several air quality monitoring stations and, following the European legislation requirements, Air Quality Plans were designed and implemented to reduce those levels. In this sense, measures to decrease PM10 and NO2 emissions have been selected, these mainly related to the traffic sector, but also regarding the industrial and residential combustion sectors. The main objective of this study is to investigate the efficiency of these reduction measures with regard to the improvement of PM10 and NO2 concentration levels over the Porto urban region using a numerical modelling tool - The Air Pollution Model (TAPM). TAPM was applied over the study region, for a simulation domain of 80 × 80 km2 with a spatial resolution of 1 × 1 km2. The entire year of 2012 was simulated and set as the base year for the analysis of the impacts of the selected measures. Taking into account the main activity sectors, four main scenarios have been defined and simulated, with focus on: (1) hybrid cars; (2) a Low Emission Zone (LEZ); (3) fireplaces and (4) industry. The modelling results indicate that measures to reduce PM10 should be focused on residential combustion (fireplaces) and industrial activity and for NO2 the strategy should be based on the traffic sector. The implementation of all the defined scenarios will allow a total maximum reduction of 4.5% on the levels of both pollutants.

  18. Law and features of TVOC and Formaldehyde pollution in urban indoor air

    Science.gov (United States)

    Chi, Chenchen; Chen, Weidong; Guo, Min; Weng, Mili; Yan, Gang; Shen, Xueyou

    2016-05-01

    There are several categories of indoor air pollutants. Organic pollutants are the most common ones. This study chooses TVOC and Formaldehyde, two of the typical pollutants, as indicators of evaluating household indoor air pollution and improves the TVOC concentration prediction model through the samples of indoor air taken from 3122 households. This study also categorizes and explains the features of household indoor air pollution based on the TVOC and Formaldehyde models as well as a large amount of sample measurement. Moreover, this study combines the TVOC model with the Formaldehyde model to calculate and verify the critical values of each type of indoor air pollution. In this study, indoor air pollution is categorized into three types: decoration pollution, consumption pollution and transition pollution. During the first 12 months after decoration, decoration pollution is the primary pollution type, both TVOC and Formaldehyde are highly concentrated while sometimes seriously over the standard. Pollutants mainly come from volatile sources. After the first 12 month but before 24 months the indoor air pollution is transition pollution. Both decoration materials and human activates affect the indoor air quality. 24 months after decoration, it transits into consumption pollution. In this stage, the main pollutants come from combustion sources, and concentration of pollutants fluctuates with the appearance and disappearance of the sources.

  19. COST Action FP0903: “Research, monitoring and modelling in the study of climate change and air pollution impacts on forest ecosystems”

    Directory of Open Access Journals (Sweden)

    Tuovinen J-P

    2011-08-01

    Full Text Available The COST Action FP0903 and its first scientific conference are described here. This Action aims at increasing the understanding of state and potential of forest mitigation and adaptation to climate change in a polluted environment. Another key objective is to reconcile process-oriented research, long-term monitoring and applied modelling, for which the concept of “Supersites” (comprehensive forest research sites is being developed. The conference “Research, monitoring and modelling in the study of climate change and air pollution impacts on forest ecosystems” was held in Rome (Italy on 5-7 October 2010. It networked the main European communities working on air pollution, climate change and forests. The proceedings of the conference are published in this collection.

  20. Atmospheric dispersion modeling of hazardous air pollutant emissions from USDOE Oak Ridge Reservation Facilities. Volume 1, Independent Assessment conducted from April 1994 to December 1994

    International Nuclear Information System (INIS)

    Title 3 of the 1990 Clean Air Act (CAA) Amendments addresses the emissions of 189 hazardous air pollutants (HAPs) and mandates that EPA develop technology-based [Maximum Achievable Control Technology (MACT)] standards for the control of these pollutants from approximately 174 source categories. After implementation of technology-based standards, EPA is required to further evaluate ''residual risk'' from HAP emissions, and, if required, develop more stringent standards to protect human health and the environment with an ''adequate margin of safety''. Recognizing that EPA will be issuing risk-based regulations after MACT standards have been implemented, the US Department of Energy (DOE), Oak Ridge Operations Office (ORO) has conducted an evaluation of ambient air impacts of HAP emissions from its installations located on the Oak Ridge Reservation (ORR) near Oak Ridge, Tennessee. This report provides results of atmospheric dispersion modeling conducted to determine ambient air impacts of HAP emissions from facilities located on the ORR

  1. Dispersion Modeling of the Air Pollution, Emitted by the Traffic in the Transport Tunnel under the Old Town of Plovdiv, Bulgaria

    Directory of Open Access Journals (Sweden)

    Nikolay Takuchev

    2014-06-01

    Full Text Available Аir quality control and management is one of the areas in which Europe has been the most active in recent years. Air quality assessment is the process of determining the nature of ambient air pollution using monitoring and supplementary techniques such as modelling. Aim of this study was to evaluate the air pollution as a result of the traffic in the transport tunnel of “Tsar Boris III Obedinitel” Boulevard, situated under the Architectural Reserve “Old Town” in the central part of Plovdiv. Analyses included two consequent steps: (i calculating the emissions of exhaused gases from the motor vehicles in the tunnel using the dispersion modeling software; (ii comparing the values obtained with data from the automatic measuring station of the air quality, located in proximity of the tunnel. Our study revealed that the main air pollutant in the tunnel is the nitrogen oxides whose concentrations were 4 to 6 times higher than TLV. Carbon oxide concentrations were 5 times lower than TLV and those of the soot – two times lower. Curves of the NOx, CO and dust concentrations changes in both cases (modelled and measured, respectively are parallel which confirms the validity of the model used.

  2. A Zooming Technique for Wind Transport of Air Pollution

    NARCIS (Netherlands)

    Berkvens, P.J.F.; Botchev, M.A.; Lioen, W.; Verwer, J.G.

    1999-01-01

    In air pollution dispersion models, typically systems of millions of equations that describe wind transport, chemistry and vertical mixing have to be integrated in time. To have more accurate results over specific fixed areas of interest---usually highly polluted areas with intensive emissions---a l

  3. AIR POLLUTION IN SHOLAPUR CITY

    OpenAIRE

    Shinde Tukaram Vittal

    2015-01-01

    Pollution is the presentation of contaminants into the regular habitat that cause antagonistic change. Contamination can take the type of substance substances orenergy, for example, commotion, warmth or light. Pollution, the parts of contamination, can be either outside substances/ energies or normally happening contaminants. Contamination is regularly classed as point source or nonpoint source contamination.

  4. ADDRESSING HUMAN EXPOSURE TO AIR POLLUTANTS AROUND BUILDINGS IN URBAN AREAS WITH COMPUTATIONAL FLUID DYNAMICS (CFD) MODELS

    Science.gov (United States)

    Computational Fluid Dynamics (CFD) simulations provide a number of unique opportunities for expanding and improving capabilities for modeling exposures to environmental pollutants. The US Environmental Protection Agency's National Exposure Research Laboratory (NERL) has been c...

  5. Air pollution in Karachi: a study

    International Nuclear Information System (INIS)

    Air population is a necessary adjunct to the advancement of civilisation. It was an offshoot or rapid industrialisation of Europe during the late nineteenth and early twentieth century when most of the industrial plants coming up in the big industrial cities were based on the use of coal as a source of energy. This caused an enormous amount of air pollution. Air pollution therefore is a man made phenomenon which creates environmental degradation and it generally builds up over a period of time. Pollution of Karachi which was less than half a million at the time of partition of India has crossed ten million mark during the last decade. This rapid and more or less unplanned expansion of population of this teeming metropolis has entailed environmental degradation of Karachi. As this matter needs detailed and in depth monitoring we have limited our scope to the study of its effect on air pollution alone. (A.B.)

  6. Indoor air pollution: a public health perspective

    International Nuclear Information System (INIS)

    Although official efforts to control air pollution have traditionally focused on outdoor air, it is now apparent that elevated contaminant concentrations are common inside some private and public buildings. Concerns about potential public health problems due to indoor air pollution are based on evidence that urban residents typically spend more than 90 percent of their time indoors, concentrations of some contaminants are higher indoors than outdoors, and for some pollutants personal exposures are not characterized adequately by outdoor measurements. Among the more important indoor contaminants associated with health or irritation effects are passive tobacco smoke, radon decay products, carbon monoxide, nitrogen dioxide, formaldehyde, asbestos fibers, microorganisms, and aeroallergens. Efforts to assess health risks associated with indoor air pollution are limited by insufficient information about the number of people exposed, the pattern and severity of exposures, and the health consequences of exposures. An overall strategy should be developed to investigate indoor exposures, health effects, control options, and public policy alternatives

  7. Fire risk and air pollution assessment during the 2007 wildfire events in Greece using the COSMO-ART atmospheric model

    Science.gov (United States)

    Athanasopoulou, E.; Giannakopoulos, C.; Vogel, H.; Rieger, D.; Knote, C.; Hatzaki, M.; Vogel, B.; Karali, A.

    2012-04-01

    During 2007, Greece experienced an extreme summer and the worst natural hazard in its modern history. Soil dehydration, following a prolonged dry period in combination with hot temperatures and strong winds, yielded favorable conditions for the ignition and spread of wild fires that burnt approximately 200,000 ha of vegetated land (Founda and Gianakopoulos, 2009; Sifakis et al., 2011). The relationship between meteorology and fire potential can be provided by the Canadian Fire Weather Index (FWI), which is already found applicable in the fire activity of the Mediterranean region (Carvalho et al., 2008). However, lack of meteorological data or remote fire spots can be sources of uncertainties for fire risk estimation. In addition to the direct fire damage, these fires produced large quantities of gaseous air pollutants and particles (PM10) dispersed over the area of Greece. Indeed, PM10 concentration measurements showed two pollution episodes over Athens during late August and early September, 2007 (Liu et al., 2009). Nevertheless, these measurements neither show the large spatial extent of fire effects nor reveal its important role on atmospheric chemistry. In the current study, the application of the atmospheric model COSMO-ART is used to investigate the issues addressed above. COSMO-ART (Vogel et al. 2009) is a regional chemistry transport model (ART stands for Aerosols and Reactive Trace gases) online-coupled to the COSMO regional numerical weather prediction and climate model (Baldauf et al. 2011). The current simulations are performed between August 15 and September 15 over Greece with a horizontal resolution of 2.8 km and a vertical extend up to 20 km. The initial and boundary meteorological conditions are derived from a coarser COSMO simulation performed by the German Weather Service. Fire emissions are retrieved from the Global Fire Emissions Database version 3 (van der Werf et al., 2010). The anthropogenic emission database used is the TNO/MACC (Kuenen et

  8. Air pollution, public health, and inflation

    OpenAIRE

    Ostro, Bart David

    1980-01-01

    Since the passage of the environmental legislation in the early 1970's, critics have attacked these laws as being unnecessary and for contributing significantly to the problem of inflation in the United States. This paper is an attempt to put the inflationary costs of air pollution into perspective by considering them in light of the cost, especially to public health, of not proceeding with pollution control. There is now a great deal of evidence that the concentration of certain pollutants i...

  9. Airports, Air Pollution, and Contemporaneous Health

    OpenAIRE

    Wolfram Schlenker; W. Reed Walker

    2011-01-01

    Airports are some of the largest sources of air pollution in the United States. We demonstrate that daily airport runway congestion contributes significantly to local pollution levels and contemporaneous health of residents living nearby and downwind from airports. Our research design exploits the fact that network delays originating from large airports on the East Coast increase runway congestion in California, which in turn increases daily pollution levels around California airports. Using ...

  10. NONPARAMETRIC FIXED EFFECT PANEL DATA MODELS: RELATIONSHIP BETWEEN AIR POLLUTION AND INCOME FOR TURKEY

    Directory of Open Access Journals (Sweden)

    Rabia Ece OMAY

    2013-06-01

    Full Text Available In this study, relationship between gross domestic product (GDP per capita and sulfur dioxide (SO2 and particulate matter (PM10 per capita is modeled for Turkey. Nonparametric fixed effect panel data analysis is used for the modeling. The panel data covers 12 territories, in first level of Nomenclature of Territorial Units for Statistics (NUTS, for period of 1990-2001. Modeling of the relationship between GDP and SO2 and PM10 for Turkey, the non-parametric models have given good results.

  11. Numerical solution of a parabolic system in air pollution

    OpenAIRE

    Chernogorova, Tatiana P.; Vulkov, Lubin G.

    2016-01-01

    An air pollution model is generally described by a system of PDEs on unbounded domain. Transformation of the independent variable is used to convert the problem for nonlinear air pollution on finite computational domain. We investigate the new, degenerated parabolic problem in Sobolev spaces with weights for well-posedness and positivity of the solution. Then we construct a fitted finite volume difference scheme. Some results from computations are presented.

  12. Public Communication on Urban Air Pollution

    International Nuclear Information System (INIS)

    The aim of this study was to analyze the state of public information in the field of air pollution in Spain. We conducted semi-structured interviews with members of public agencies, technical experts, scientists, and members of non governmental associations together with a documentary analysis of air pollution documents (plans, reports, etc.). We tried to characterize the information actions on air quality carried out in Spanish cities during the last years. In the results section we first analyze the ideas, concerns and considerations that underlie the actions of public information on air pollution, as well as the main challenges of public communication on this subject, according to the documents and the different experts consulted. We analyze the various contents of information transmitted nowadays (on levels of pollution, health impacts and mitigation or protection actions), as well as the mechanisms by which it is communicated, both continuously and in the case of threshold overcoming episodes. We also review the different media used to communicate air pollution information (Internet, mobile applications and other forms) and other issues such as information audiences, or the perceived impacts of information provided. Finally, the implications for more diverse and effective public involvement strategies in air pollution are discussed. (Author)

  13. Ambient air pollution and the fetus

    Directory of Open Access Journals (Sweden)

    Kadriye Yurdakök

    2013-06-01

    Full Text Available There is a growing evidence on the hazards of ambient air pollution on fetal development. Several review articles have been published on the adverse fetal outcomes including low birth weight, preterm birth, small-for-gestational age, and congenital anomalies. Recent studies have linked ambient air pollution to gestational hypertension, and preeclampsia which may be related to the detrimental effect of ambient air pollution on placental growth and function. Short-term and long-term exposure to particulate air pollution may cause systemic inflammatory response which may trigger preterm delivery in pregnant women. Environmental toxic chemicals that alter intrauterine environment disregulates fetal epigenome causing epigenetic-mediated changes in gene expression that may be linked to later childhood and adulthood diseases. Exposure to ambient air pollution during the whole pregnancy especially in third-trimester may cause intrauterine vitamin D deficiency which is critical for the normal development of the lung, and immune system in fetus. However, more research is needed to understand the cause and effect interaction between air pollution and fetal development. Proceedings of the 9th International Workshop on Neonatology · Cagliari (Italy · October 23rd-26th, 2013 · Learned lessons, changing practice and cutting-edge research

  14. Air Conditioning Does Reduce Air Pollution Indoors

    Science.gov (United States)

    Healy, Bud

    1970-01-01

    Report of the winter meeting of the American Society of Heating, Refrigerating and Air-Conditioning Engineers. Subjects covered are--(1) title subject, (2) predictions for the human habitat in 1994, (3) fans, and (4) fire safety in buildings. (JW)

  15. Modeling of atmospheric pollutant transfers

    International Nuclear Information System (INIS)

    Modeling is today a common tool for the evaluation of the environmental impact of atmospheric pollution events, for the design of air monitoring networks or for the calculation of pollutant concentrations in the ambient air. It is even necessary for the a priori evaluation of the consequences of a pollution plume. A large choice of atmospheric transfer codes exist but no ideal tool is available which allows to model all kinds of situations. The present day approach consists in combining different types of modeling according to the requested results and simulations. The CEA has a solid experience in this domain and has developed independent tools for the impact and safety studies relative to industrial facilities and to the management of crisis situations. (J.S.)

  16. Technology of Measuring equipment for Air Pollution. Development of Mobile Air Pollution monitoring system (LIDAR)

    International Nuclear Information System (INIS)

    Most air pollution monitoring technologies accompany a time-consuming sample treatment process and provides pollution information only for a local area. Thus, they have a critical restriction in monitoring time-dependent pollution variation effectively over the wide range of area both in height and in width. LIDAR (Light detection and ranging) is a new technology to overcome such drawbacks of the existing pollution monitoring technologies and has long been investigated in the advanced countries. The goal of this project is to develop the mobile air pollution monitoring system and to apply the system to the detection of various pollutants, such as ozone, nitrogen dioxide, sulfur dioxide and aerosols

  17. Technology of Measuring equipment for Air Pollution. Development of Mobile Air Pollution monitoring system (LIDAR)

    Energy Technology Data Exchange (ETDEWEB)

    Cha, Hyung Ki; Song, Ky Seok; Rhee, Young Joo; Kim, Duck Hyun; Yang, Ki Ho; Lee, Jong Min; Cha, Byung Heon; Lee, Kang Soo

    1999-01-01

    Most air pollution monitoring technologies accompany a time-consuming sample treatment process and provides pollution information only for a local area. Thus, they have a critical restriction in monitoring time-dependent pollution variation effectively over the wide range of area both in height and in width. LIDAR (Light detection and ranging) is a new technology to overcome such drawbacks of the existing pollution monitoring technologies and has long been investigated in the advanced countries. The goal of this project is to develop the mobile air pollution monitoring system and to apply the system to the detection of various pollutants, such as ozone, nitrogen dioxide, sulfur dioxide and aerosols.

  18. Development of regional atmospheric dynamic and air pollution models for nuclear emergency response system WSPEEDI

    International Nuclear Information System (INIS)

    WSPEEDI (Worldwide version of System for Prediction of Environmental Emergency Dose Information) is a computer-based emergency response system to predict long-range atmospheric dispersion of radionuclides discharged into the atmosphere due to a nuclear accident. WSPEEDI has been applied to several international exercises and real events. Through such experiences, the new version of WSPEEDI aims to employ a combination of an atmospheric dynamic model and a particle random walk model for more accurate predictions. This paper describes these models, improvement of prediction and computational techniques for quick responses. (author)

  19. Air pollution and venous thrombosis: a meta-analysis

    Science.gov (United States)

    Tang, Liang; Wang, Qing-Yun; Cheng, Zhi-Peng; Hu, Bei; Liu, Jing-Di; Hu, Yu

    2016-01-01

    Exposure to air pollution has been linked to cardiovascular and respiratory disorders. However, the effect of air pollution on venous thrombotic disorders is uncertain. We performed a meta-analysis to assess the association between air pollution and venous thrombosis. PubMed, Embase, EBM Reviews, Healthstar, Global Health, Nursing Database, and Web of Science were searched for citations on air pollutants (carbon monoxide, sulfur dioxide, nitrogen dioxide, ozone, and particulate matters) and venous thrombosis. Using a random-effects model, overall risk estimates were derived for each increment of 10 μg/m3 of pollutant concentration. Of the 485 in-depth reviewed studies, 8 citations, involving approximately 700,000 events, fulfilled the inclusion criteria. All the main air pollutants analyzed were not associated with an increased risk of venous thrombosis (OR = 1.005, 95% CI = 0.998–1.012 for PM2.5; OR = 0.995, 95% CI = 0.984–1.007 for PM10; OR = 1.006, 95% CI = 0.994–1.019 for NO2). Based on exposure period and thrombosis location, additional subgroup analyses provided results comparable with those of the overall analyses. There was no evidence of publication bias. Therefore, this meta analysis does not suggest the possible role of air pollution as risk factor for venous thrombosis in general population. PMID:27600652

  20. Air pollution and venous thrombosis: a meta-analysis.

    Science.gov (United States)

    Tang, Liang; Wang, Qing-Yun; Cheng, Zhi-Peng; Hu, Bei; Liu, Jing-Di; Hu, Yu

    2016-01-01

    Exposure to air pollution has been linked to cardiovascular and respiratory disorders. However, the effect of air pollution on venous thrombotic disorders is uncertain. We performed a meta-analysis to assess the association between air pollution and venous thrombosis. PubMed, Embase, EBM Reviews, Healthstar, Global Health, Nursing Database, and Web of Science were searched for citations on air pollutants (carbon monoxide, sulfur dioxide, nitrogen dioxide, ozone, and particulate matters) and venous thrombosis. Using a random-effects model, overall risk estimates were derived for each increment of 10 μg/m(3) of pollutant concentration. Of the 485 in-depth reviewed studies, 8 citations, involving approximately 700,000 events, fulfilled the inclusion criteria. All the main air pollutants analyzed were not associated with an increased risk of venous thrombosis (OR = 1.005, 95% CI = 0.998-1.012 for PM2.5; OR = 0.995, 95% CI = 0.984-1.007 for PM10; OR = 1.006, 95% CI = 0.994-1.019 for NO2). Based on exposure period and thrombosis location, additional subgroup analyses provided results comparable with those of the overall analyses. There was no evidence of publication bias. Therefore, this meta analysis does not suggest the possible role of air pollution as risk factor for venous thrombosis in general population. PMID:27600652

  1. Study of urban air pollution in Thailand

    International Nuclear Information System (INIS)

    The Office of Atoms for Peace has conducted a monitoring study of urban air pollution in Thailand for years. The primary objective of the project was to support the use of nuclear-related techniques for research and monitoring studies on air pollution. The databases obtained have been analyzed and interpreted by statistical methods including source identification using receptor model. This paper reports the work of 2002 at a heavy traffic area in Bangkok. A Gent sampler was set at the curbside of a major road in Bangkok to collect fine and coarse particles routinely on a weekday for 24 hours, once a week. The filter samples were analyzed for elemental concentrations by use of instrumental neutron activation analysis. Black carbon was separately determined by means of the reflectance measurement of the filter sample. In the report, the methodologies and the results of analyses of fine and coarse particles on filters collected in 2002 are presented. The study of the applicability of certified reference material was done by analyses of two standard reference materials provided by JAERI, i.e., NIST 1632c and NIES No.8. The comparisons of the measured and certified values are also given in the paper. (author)

  2. REAL TIME WIRELESS AIR POLLUTION MONITORING SYSTEM

    Directory of Open Access Journals (Sweden)

    Raja Vara Prasad Y

    2011-06-01

    Full Text Available Air pollution has significant influence on the concentration of constituents in the atmosphere leading to effects like global warming and acid rains. To avoid such adverse imbalances in the nature, an air pollution monitoring system is utmost important. This paper attempts to develop an effective solution for pollution monitoring using wireless sensor networks (WSN on a real time basis namely real time wireless air pollution monitoring system. Commercially available discrete gas sensors for sensing concentration of gases like CO2, NO2, CO and O2 are calibrated using appropriate calibration technologies. These pre-calibrated gas sensors are then integrated with the wireless sensor motes for field deployment at the campus and the Hyderabad city using multi hop data aggregation algorithm. A light weight middleware and a web interface to view the live pollution data in the form of numbers and charts from the test beds was developed and made available from anywhere on the internet. Other parameters like temperature and humidity were also sensed along with gas concentrations to enable data analysis through data fusion techniques. Experimentation carried out using the developed wireless air pollution monitoring system under different physical conditions show that the system collects reliable source of real time fine-grain pollution data.

  3. Characterization of the particulate air pollution in contrasted mega cities

    International Nuclear Information System (INIS)

    This work aims at characterizing the physics and the chemistry that govern particulate air pollution in two mega cities (Paris and Cairo) for which the size distribution and the chemical composition of airborne particles were poorly documented. Seasonal variations of the main aerosol sources and transformation processes are investigated in these two urban centres, with a particular attention to semi-volatile material and secondary organic aerosols. Short-term health effects of Paris size-segregated aerosols, as well as particulate pollution during the Cairo 'Black Cloud' season, are also emphasized here. Finally, the comparison of results obtained for the two mega cities and for another one (Beijing) allows investigating main factors responsible for particulate air pollution in urban centres with contrasted climatic conditions and development levels. Notably, this work also allows the build-up of an experimental dataset which is now available for the modelling of urban air quality and of environmental impacts of mega city air pollution. (author)

  4. A Model of Emission Trading for Minimizing the Cost of Air Pollution Control from Belgian Power Plants

    OpenAIRE

    Hecq, Walter; Kestemont, Bruno

    1991-01-01

    In Belgium recent national and community legislation regulates emission levels of "acid pollutants" (SO2, NOx) and apply to large combustion facilities whose pollutants are transported over large distances. Complying with these legislations requires costly emission control equipment. In order to minimize the costs of clean-up operations, this paper analyses the potentialities of an emission trading programme by means of a linear programming model. Six retrofit power plants have been chosen to...

  5. Indoor air pollution and airway disease

    Energy Technology Data Exchange (ETDEWEB)

    Viegi, G.; Simoni, M.; Scognamiglio, A.; Baldacci, S.; Pistelli, F.; Carrozzi, L.; Annesi-Maesano, I. [CNR, Pisa (Italy). Inst. of Clinical Physiology

    2004-12-15

    Growing scientific evidence has shown that because people generally spend the majority of their time indoors, indoor pollution plays a significant role in affecting health and is thus an important health issue. Common indoor pollutants are environmental tobacco smoke, particulate matter, nitrogen dioxide, carbon monoxide, volatile organic compounds and biological allergens. In developing countries, relevant sources of indoor pollution include biomass and coal burning for cooking and heating. Concentrations of these pollutants can be many times higher indoors than outdoors. Indoor air pollution may increase the risk of irritation phenomena, allergic sensitisation, acute and chronic respiratory disorders and lung function impairment. Recent conservative estimates have shown that 1.5-2 million deaths per year worldwide could be attributed to indoor air pollution. Approximately 1 million of these deaths occur in children aged under 5 years due to acute respiratory infections and significant proportions of deaths occur due to chronic obstructive pulmonary disease and lung cancer in women. Today, indoor air pollution ranks tenth among preventable risk factors contributing to the global burden of disease. Further research is necessary to better evaluate the respiratory health effects of indoor pollution and to implement protective programmes for public health.

  6. Exposure to traffic-related air pollution during pregnancy and term low birth weight: estimation of causal associations in a semiparametric model.

    Science.gov (United States)

    Padula, Amy M; Mortimer, Kathleen; Hubbard, Alan; Lurmann, Frederick; Jerrett, Michael; Tager, Ira B

    2012-11-01

    Traffic-related air pollution is recognized as an important contributor to health problems. Epidemiologic analyses suggest that prenatal exposure to traffic-related air pollutants may be associated with adverse birth outcomes; however, there is insufficient evidence to conclude that the relation is causal. The Study of Air Pollution, Genetics and Early Life Events comprises all births to women living in 4 counties in California's San Joaquin Valley during the years 2000-2006. The probability of low birth weight among full-term infants in the population was estimated using machine learning and targeted maximum likelihood estimation for each quartile of traffic exposure during pregnancy. If everyone lived near high-volume freeways (approximated as the fourth quartile of traffic density), the estimated probability of term low birth weight would be 2.27% (95% confidence interval: 2.16, 2.38) as compared with 2.02% (95% confidence interval: 1.90, 2.12) if everyone lived near smaller local roads (first quartile of traffic density). Assessment of potentially causal associations, in the absence of arbitrary model assumptions applied to the data, should result in relatively unbiased estimates. The current results support findings from previous studies that prenatal exposure to traffic-related air pollution may adversely affect birth weight among full-term infants. PMID:23045474

  7. Efficiency of clay-TiO2 nanocomposites on the photocatalytic eliminationof a model hydrophobic air pollutant

    Energy Technology Data Exchange (ETDEWEB)

    Kibanova, Daria; Cervini-Silva, Javiera; Destaillats, Hugo

    2009-01-01

    Clay-supported TiO2 photocatalysts can potentially improve the performance of air treatment technologies via enhanced adsorption and reactivity of target volatile organic compounds (VOCs). In this study, a bench-top photocatalytic flow reactor was used to evaluate the efficiency of hectorite-TiO2 and kaolinite-TiO2, two novel composite materials synthesized in our laboratory. Toluene, a model hydrophobic VOC and a common indoor air pollutant, was introduced in the air stream at realistic concentrations, and reacted under UVA (gamma max = 365 nm) or UVC (gamma max = 254 nm) irradiation. The UVC lamp generated secondary emission at 185 nm, leading to the formation of ozone and other short-lived reactive species. Performance of clay-TiO2 composites was compared with that of pure TiO2 (Degussa P25), and with UV irradiation in the absence of photocatalyst under identical conditions. Films of clay-TiO2 composites and of P25 were prepared by a dip-coating method on the surface of Raschig rings, which were placed inside the flow reactor. An upstream toluene concentration of ~;;170 ppbv was generated by diluting a constant flow of toluene vapor from a diffusion source with dry air, or with humid air at 10, 33 and 66percent relative humidity (RH). Toluene concentrations were determined by collecting Tenax-TA (R) sorbent tubes downstream of the reactor, with subsequent thermal desorption -- GC/MS analysis. The fraction of toluene removed, percentR, and the reaction rate, Tr, were calculated for each experimental condition from the concentration changes measured with and without UV irradiation. Use of UVC light (UV/TiO2/O3) led to overall higher reactivity, which can be partially attributed to the contribution of gas phase reactions by short-lived radical species. When the reaction rate was normalized to the light irradiance, Tr/I gamma, the UV/TiO2 reaction under UVA irradiation was more efficient for samples with a higher content of TiO2 (P25 and Hecto-TiO2), but not for Kao

  8. Theoretical model for removal of volatile organic compound (VOC) air pollutant in trickling biofilter

    Institute of Scientific and Technical Information of China (English)

    LIAO; Qiang; (廖; 强); CHEN; Rong; (陈; 蓉); ZHU; Xun; (朱; 恂)

    2003-01-01

    This paper presents an analytical model for predicting VOC waste gas degradation in a trickling biofilter. To facilitate the analysis, the packed bed is simplified into a series of straight capillary tubes covered by the biofilm. The gas-liquid flow field through the tube is divided into the liquid film flow on the biofilm and the gas core flow in the center. The biofilm consists of a reaction free zone close to solid wall and a reaction zone beneath the liquid film. The capillary tube model accounts for the effect of mass transport resistance in the liquid film and the biofilm, the gas-liquid interfacial mass transport resistance, the biochemical reaction, and the limitation of oxygen to biochemical reaction. The liquid film thickness in the capillary tube is obtained by simultaneously solving a set of hydrodynamic equations representing the momentum transport behaviors of the gas-liquid two-phase flow. The mass transport equations are established for gas core, liquid film, and biofilm combined with biochemical kinetics equations. An iterative computation process is employed to solve the discrete equations. The predicted purification efficiencies of VOC waste gas in trickling biofilter are found to be in good agreement with the experimental data. It has been revealed that for a fixed inlet concentration of toluene, the purification efficiency of trickling biofilter decreases with the increase in gas flow rate and liquid flow rate. The purification efficiency of VOC waste gas is dominated by mass transport resistance in liquid film and biofilm. The highest biodegradation rate occurs at the inlet of waste gas in trickling biofilter.

  9. Air pollution and lung cancer incidence in 17 European cohorts

    DEFF Research Database (Denmark)

    Raaschou-Nielsen, Ole; Andersen, Zorana Jovanovic; Beelen, Rob;

    2013-01-01

    Ambient air pollution is suspected to cause lung cancer. We aimed to assess the association between long-term exposure to ambient air pollution and lung cancer incidence in European populations.......Ambient air pollution is suspected to cause lung cancer. We aimed to assess the association between long-term exposure to ambient air pollution and lung cancer incidence in European populations....

  10. CALPUFF and CAFOs: Air Pollution Modeling and Environmental Justice Analysis in the North Carolina Hog Industry

    Directory of Open Access Journals (Sweden)

    Yelena Ogneva-Himmelberger

    2015-01-01

    Full Text Available Concentrated animal feeding operations (CAFOs produce large amounts of animal waste, which potentially pollutes air, soil and water and affects human health if not appropriately managed. This study uses meteorological and CAFO data and applies an air pollution dispersion model (CALPUFF to estimate ammonia concentrations at locations downwind of hog CAFOs and to evaluate the disproportionate exposure of children, elderly, whites and minorities to the pollutant. Ammonia is one of the gases emitted by swine CAFOs and could affect human health. Local indicator of spatial autocorrelation (LISA analysis uses census block demographic data to identify hot spots where both ammonia concentrations and the number of exposed vulnerable population are high. We limit our analysis to one watershed in North Carolina and compare environmental justice issues between 2000 and 2010. Our results show that the average ammonia concentrations in hot spots for 2000 and 2010 were 2.5–3-times higher than the average concentration in the entire watershed. The number of people living in the areas where ammonia concentrations exceeded the minimal risk level was 3647 people in 2000 and 3360 people in 2010. We recommend using air pollution dispersion models in future environmental justice studies to assess the impacts of the CAFOs and to address concerns regarding the health and quality of life of vulnerable populations.

  11. Emissions of CO2 and criteria air pollutants from mobile sources: Insights from integrating real-time traffic data into local air quality models

    Science.gov (United States)

    Gately, Conor; Hutyra, Lucy

    2016-04-01

    In 2013, on-road mobile sources were responsible for over 26% of U.S. fossil fuel carbon dioxide (ffCO2) emissions, and over 34% of both CO and NOx emissions. However, accurate representations of these emissions at the scale of urban areas remains a difficult challenge. Quantifying emissions at the scale of local streets and highways is critical to provide policymakers with the information needed to develop appropriate mitigation strategies and to guide research into the underlying process that drive mobile emissions. Quantification of vehicle ffCO2 emissions at high spatial and temporal resolutions requires a detailed synthesis of data on traffic activity, roadway attributes, fleet characteristics and vehicle speeds. To accurately characterize criteria air pollutant emissions, information on local meteorology is also critical, as the temperature and relative humidity can affect emissions rates of these pollutants by as much as 400%. As the health impacts of air pollutants are more severe for residents living in close proximity (<500m) to road sources, it is critical that inventories of these emissions rely on highly resolved source data to locate potential hot-spots of exposure. In this study we utilize real-time GPS estimates of vehicle speeds to estimate ffCO2 and criteria air pollutant emissions at multiple spatial and temporal scales across a large metropolitan area. We observe large variations in emissions associated with diurnal activity patterns, congestion, sporting and civic events, and weather anomalies. We discuss the advantages and challenges of using highly-resolved source data to quantify emissions at a roadway scale, and the potential of this methodology for forecasting the air quality impacts of changes in infrastructure, urban planning policies, and regional climate.

  12. Air pollution and forest ecosystems: a regional to global perspective

    International Nuclear Information System (INIS)

    factors influencing forest productivity, community dynamics, and biogeochemistry, and that effects arise through long—term exposures. This evolution in methodologies will become even more marked in the future as new ecological approaches are adopted and an understanding is developed of how air pollution interacts with changes in climate. One of the most promising methodologies is process level modeling, which utilizes the large base of data in tree physiology and forest ecology, watershed chemistry, and atmosphere— forest canopy meteorology to develop models of tree physiology and growth and to subsequently scale these investigations to the levels of forest stands and landscapes

  13. Air pollution: a smoking gun for cancer

    Directory of Open Access Journals (Sweden)

    Wei Zhang

    2014-04-01

    Full Text Available Once considered a taboo topic or stigma, cancer is the number one public health enemy in the world. Once a product of an almost untouchable industry, tobacco is indisputably recognized as a major cause of cancer and a target for anticancer efforts. With the emergence of new economic powers in the world, especially in highly populated countries such as China, air pollution has rapidly emerged as a smoking gun for cancer and has become a hot topic for public health debate because of the complex political, economic, scientific, and technologic issues surrounding the air pollution problem. This editorial and the referred articles published in this special issue of the Chinese Journal of Cancer discuss these fundamental questions. Does air pollution cause a wide spectrum of cancers? Should air pollution be considered a necessary evil accompanying economic transformation in developing countries? Is an explosion of cancer incidence coming to China and how soon will it arrive? What must be done to prevent this possible human catastrophe? Finally, the approaches for air pollution control are also discussed

  14. Evaluation of emission control strategies to reduce ozone pollution in the Paso del Norte region using a photochemical air quality modeling system

    Science.gov (United States)

    Valenzuela, Victor Hugo

    Air pollution emissions control strategies to reduce ozone precursor pollutants are analyzed by applying a photochemical modeling system. Simulations of air quality conditions during an ozone episode which occurred in June, 2006 are undertaken by increasing or reducing area source emissions in Ciudad Juarez, Chihuahua, Mexico. Two air pollutants are primary drivers in the formation of tropospheric ozone. Oxides of nitrogen (NOx) and volatile organic compounds (VOC) undergo multiple chemical reactions under favorable meteorological conditions to form ozone, which is a secondary pollutant that irritates respiratory systems in sensitive individuals especially the elderly and young children. The U.S. Environmental Protection Agency established National Ambient Air Quality Standards (NAAQS) to limit ambient air pollutants such as ozone by establishing an 8-hour average concentration of 0.075 ppm as the threshold at which a violation of the standard occurs. Ozone forms primarily due reactions in the troposphere of NOx and VOC emissions generated primarily by anthropogenic sources in urban regions. Data from emissions inventories indicate area sources account for ˜15 of NOx and ˜45% of regional VOC emissions. Area sources include gasoline stations, automotive paint bodyshops and nonroad mobile sources. Multiplicity of air pollution emissions sources provides an opportunity to investigate and potentially implement air quality improvement strategies to reduce emissions which contribute to elevated ozone concentrations. A baseline modeling scenario was established using the CAMx photochemical air quality model from which a series of sensitivity analyses for evaluating air quality control strategies were conducted. Modifications to area source emissions were made by varying NOx and / or VOC emissions in the areas of particular interest. Model performance was assessed for each sensitivity analysis. Normalized bias (NB) and normalized error (NE) were used to identify

  15. A Bayesian kriging model for estimating residential exposure to air pollution of children living in a high-risk area in Italy

    Directory of Open Access Journals (Sweden)

    Ana M. Vicedo-Cabrera

    2013-11-01

    Full Text Available A core challenge in epidemiological analysis of the impact of exposure to air pollution on health is assessment of the individual exposure for subjects at risk. Geographical information systems (GIS-based pollution mapping, such as kriging, has become one of the main tools for evaluating individual exposure to ambient pollutants. We applied universal Bayesian kriging to estimate the residential exposure to gaseous air pollutants for children living in a high-risk area (Milazzo- Valle del Mela in Sicily, Italy. Ad hoc air quality monitoring campaigns were carried out: 12 weekly measurements for sulphur dioxide (SO2 and nitrogen dioxide (NO2 were obtained from 21 passive dosimeters located at each school yard of the study area from November 2007 to April 2008. Universal Bayesian kriging was performed to predict individual exposure levels at each residential address for all 6- to 12-years-old children attending primary school at various locations in the study area. Land use, altitude, distance to main roads and population density were included as covariates in the models. A large geographical heterogeneity in air quality was recorded suggesting complex exposure patterns. We obtained a predicted mean level of 25.78 (±10.61 μg/m3 of NO2 and 4.10 (±2.71 μg/m3 of SO2 at 1,682 children’s residential addresses, with a normalised root mean squared error of 28% and 25%, respectively. We conclude that universal Bayesian kriging approach is a useful tool for the assessment of realistic exposure estimates with regard to ambient pollutants at home addresses. Its prediction uncertainty is highly informative and can be used for both designing subsequent campaigns and for improved modelling of epidemiological associations.

  16. Evaluating the capability of regional-scale air quality models to capture the vertical distribution of pollutants

    OpenAIRE

    E. Solazzo; Bianconi, R.; G. Pirovano; M. D. Moran; R. Vautard; Hogrefe, C; K. W. Appel; Matthias, V.; Grossi, P.; BESSAGNET B.; Brandt, J.; Chemel, C.; Christensen, J. H.; FORKEL R.; Francis, X. V.

    2013-01-01

    This study is conducted in the framework of the Air Quality Modelling Evaluation International Initiative (AQMEII) and aims at the operational evaluation of an ensemble of 12 regional-scale chemical transport models used to predict air quality over the North American (NA) and European (EU) continents for 2006. The modelled concentrations of ozone and CO, along with the meteorological fields of wind speed (WS) and direction (WD), temperature (T), and relative humidity (RH), a...

  17. A modelling system for predicting urban air pollution: comparison of model predictions with the data of an urban measurement network in Helsinki

    International Nuclear Information System (INIS)

    We have developed a modelling system for predicting the traffic volumes, emissions from stationary and vehicular sources, and atmospheric dispersion of pollution in an urban area. A companion paper addresses model development and its applications. This paper describes a comparison of the predicted NOx and NO2 concentrations with the results of an urban air quality monitoring network. We performed a statistical analysis concerning the agreement of the predicted and measured hourly time series of concentrations, at four monitoring stations in the Helsinki metropolitan area in 1993. The predicted and measured NO2 concentrations agreed well at all the stations considered. The agreement of model predictions and measurements for NOx and NO2 was better for the two suburban monitoring stations, compared with the two urban stations, located in downtown Helsinki. (author)

  18. Air pollution and climate response to aerosol direct radiative effects: A modeling study of decadal trends across the northern hemisphere

    Science.gov (United States)

    Decadal hemispheric Weather Research and Forecast-Community Multiscale Air Quality simulations from 1990 to 2010 were conducted to examine the meteorology and air quality responses to the aerosol direct radiative effects. The model's performance for the simulation of hourly surfa...

  19. Air pollution control policy in Switzerland

    Energy Technology Data Exchange (ETDEWEB)

    Leutert, G. [Forests and Landscape, Berne (Switzerland). Federal Office of Environment

    1995-12-31

    The legal basis of the Swiss air pollution control policy is set by the Federal Law on the Protection of the Environment, which came into force in 1985. It aims to protect human beings, animals and plants, their biological communities and habitats against harmful effects or nuisances and to maintain the fertility of the soil. The law is source-oriented (by emission standards) as well as effect-oriented (by ambient air quality standards). To link both elements a two-stage approach is applied. In the first stage preventive measures are taken at the emitting sources, irrespective of existing air pollution levels. Emissions have to be limited by early preventive measures as much as technical and operational conditions allow and as far as economically acceptable (prevention principle). By this, air pollution shall be kept as low as possible as a matter of principle, without the environment having to be in danger first. In a second stage the measures are strengthened or backed up by additional measures if ambient air quality standards laid down in the Ordinance on Air Pollution Control are exceeded. At this second stage, protection of man and his environment has priority over economic considerations. (author)

  20. Air pollution epidemiology. Assessment of health effects and risks

    Energy Technology Data Exchange (ETDEWEB)

    Katsouyanni, K. [Athens Univ. (Greece). Dept. of Hygiene and Epidemiology

    1995-12-31

    Air pollution epidemiology is the study of the occurrence and distribution of health outcomes in association with community air pollution exposure. It is therefore specific in the exposure variable. Air pollution health effects became evident during high air pollution episodes which occurred in the first decades of our century. Since then, legal and other control measures have led to lower air pollution levels. However, recent results from several studies indicate that lower levels of air pollution than the previously considered safe have serious adverse health effects. Although, there is increasingly agreement that air pollution, at levels measured today, affects health, there is still a lot to be understood concerning specific causal pollutants, biologic mechanisms involved and sensitive groups of individuals. The extent of potential confounding, time-considerations in air pollution effects, individual variation in air pollution exposure and exposure misclassification are some factors which complicate the study of these issues. (author)

  1. the role of industry in air pollution

    International Nuclear Information System (INIS)

    Industry is among the main sources of air pollution in Lebanon. Industrial plants emits dangerous effluents affecting on human health and on population living in industrial zones. Personnel within industries ignore the dangerous effect of substances they use in their work and the toxic effect of gaseous, liquid and solid wastes produced and their impact on health and on environment. A major attention should be paid by Lebanese government to avoid the increasing of atmospheric pollution and must encourage the monitoring of air pollution and its effect on human target organs in the influenced zones. Within industries air is contaminated by gases, vapor, dusts in high rates. Attention has to be focused to the diseases due to breathing diseases, Asbestos, arterial high blood pressure, stress, digestive diseases and other

  2. Correcting agglomeration economies: How air pollution matters

    OpenAIRE

    Drut, Marion; Mahieu, Aurélie

    2015-01-01

    This paper aims to correct standard measures of agglomeration economies to account for air pollution generated by commuting. This paper examines the impact of nitrogen oxide (NOX) ? a pollutant mainly released by transportation ? on worker productivity. On one side, literature on agglomeration economies highlights the positive role of employment density on productivity, without accounting for the environmental impact of a better accessibility. On the other side, several studies (Graham, 2007;...

  3. Healthy Neighborhoods: Walkability and Air Pollution

    OpenAIRE

    Marshall, Julian D.; Brauer, Michael; Frank, Lawrence D

    2009-01-01

    Background The built environment may influence health in part through the promotion of physical activity and exposure to pollution. To date, no studies have explored interactions between neighborhood walkability and air pollution exposure. Methods We estimated concentrations of nitric oxide (NO), a marker for direct vehicle emissions), and ozone (O3) and a neighborhood walkability score, for 49,702 (89% of total) postal codes in Vancouver, British Columbia, Canada. NO concentrations were esti...

  4. Pollution. Warning on the future of air quality

    International Nuclear Information System (INIS)

    This article comments the results published by INERIS (the French national institute of the industrial environment and risks) and based on the use of its model Chimere which aims at measuring and foreseeing the evolution of air quality. This model simulates the concentrations of pollutants in the air. It is integrated into the national tool of prediction of air quality, PREV'AIR, which studies prospective scenarios of reduction of emissions, and is also part of the SALUT'AIR project which assesses the evolution of atmospheric concentrations of pollutants by 2050 while taking climate change into account. These models notably show the importance of atmospheric circulation over continents. The author also recalls and comments the objectives of the UN Goteborg protocol for 2020

  5. A mathematical formulation for optimal control of air pollution

    Institute of Scientific and Technical Information of China (English)

    朱江; 曾庆存

    2003-01-01

    The problem of optimal control of air pollution using weather forecastresults and numerical air pollution models is discussed. A mathematical formulation of the problem is presented. The control is an act on pollution sources with feasible constraints. Based on forecasted weather conditions, the objective ofthe optimal control is to minimize total cost caused by control under the constraint that the pollution concentrations over a certain period and a certain spatial domain are less than some specified values. Using the adjoint method, an effective algorithm is given. Since the optimal solutions are based on weather forecasts, the errors in weather forecasts will cause uncertainties in the optimal solutions. Estimation of impacts of weather forecast errors on the optimal solutions is discussed using the adjoint sensitivity analysis technique that is an approximated, however very effective method. The adjoint sensitivity analysis technique can be used to calculate the impacts of errors in wind, temperature and initial pollutant concentration fields on performances of the optimal control.

  6. Exposure to Traffic-related Air Pollution During Pregnancy and Term Low Birth Weight: Estimation of Causal Associations in a Semiparametric Model

    OpenAIRE

    Padula, Amy M.; Mortimer, Kathleen; Hubbard, Alan; Lurmann, Frederick; Jerrett, Michael; Tager, Ira B.

    2012-01-01

    Traffic-related air pollution is recognized as an important contributor to health problems. Epidemiologic analyses suggest that prenatal exposure to traffic-related air pollutants may be associated with adverse birth outcomes; however, there is insufficient evidence to conclude that the relation is causal. The Study of Air Pollution, Genetics and Early Life Events comprises all births to women living in 4 counties in California's San Joaquin Valley during the years 2000–2006. The probability ...

  7. A Method for Estimating Urban Background Concentrations in Support of Hybrid Air Pollution Modeling for Environmental Health Studies

    OpenAIRE

    Saravanan Arunachalam; Alejandro Valencia; Yasuyuki Akita; Serre, Marc L.; Mohammad Omary; Valerie Garcia; Vlad Isakov

    2014-01-01

    Exposure studies rely on detailed characterization of air quality, either from sparsely located routine ambient monitors or from central monitoring sites that may lack spatial representativeness. Alternatively, some studies use models of various complexities to characterize local-scale air quality, but often with poor representation of background concentrations. A hybrid approach that addresses this drawback combines a regional-scale model to provide background concentrations and a local-scal...

  8. Air Pollution in the Mexico Megacity

    Science.gov (United States)

    Ruiz-Suarez, L. G.

    2007-05-01

    Mexico City is a megacity whose metropolitan area includes the country federal district, 18 municipalities of the State of Mexico. In year 1992, only 16 municipalities of the State of Mexico were part of MCMA. In year 1940 the Mexico City population was 1.78 millions in an area of 118 km2, in year 2000 the population was 17.9 millions in an area of 1,500 km2. Population has grown a ten fold whereas population density has dropped 20%. Total number of private cars has grown from 2,341,731 in year 1998 to 2,967,893 in year 2004. Nowadays, people and goods travel longer at lower speed to reach school, work and selling points. In addition highly efficient public transport lost a significant share of transport demand from 19.1 in 1986 to 14.3 in 1998. Air pollution is a public concern since early eighties last century; systematic public efforts have been carried out since late eighties. Energy consumption has steadily increased in the MCMA whereas emissions have also decreased. From year 2000 to 2004, the private cars fleet increased 17% whereas CO, NOx and COV emissions decreased between 20-30%. Average concentrations of criteria pollutants have decreased The number of days that the one-hour national standard for bad air quality was exceeded in year 1990 was 160. In year 2005 was 70. Research efforts and public policies on air pollution have been focused on public health. We are now better able to estimate the cost in human lives due to air pollution, or the cost in labor lost due to illness. Little if none at all work has been carried out to look at the effect of air pollution on private and public property or onto the cultural heritage. Few reports have can be found on the impact of air pollution in rural areas, including forest and crops, around the mega city. Mexico City is in the south end of a Valley with mountain ranges higher than 1000 m above the average city altitude. In spite the heavy loss of forested areas to the city, the mountains still retain large

  9. Annual air pollution report for 1993

    International Nuclear Information System (INIS)

    The present annual report contains the data collected in the course of the continuous air pollution monitoring conducted by the Bayerische Landesamt fuer Umweltschutz (Environment Protection Agency of the Land of Bavaria). The monitored pollutants are carbon monoxide, sulphur dioxide, hydrogen sulphide, nitrogen monoxide and dioxide, ozone, and air-borne dust. The report also gives a chronology of the weather for comparison pruposes. Deposition studies were performed using rainwater analysis and bioindicators in order to determine the geographical distribution of environementally harmful substances (sulphur, nitrogen, heavy metals) and ozone impact on plants. The report presents different kinds of bioindicators. (SR)

  10. 75 FR 18142 - Approval and Promulgation of Air Quality Implementation Plans; Texas; Control of Air Pollution...

    Science.gov (United States)

    2010-04-09

    ... Air Pollution From Motor Vehicles AGENCY: Environmental Protection Agency (EPA). ACTION: Proposed rule... Title 30 of the Texas Administrative Code (TAC), Chapter 114, Control of Air Pollution from...

  11. Heat Waves, Urban Vegetation, and Air Pollution

    Science.gov (United States)

    Churkina, G.; Grote, R.; Butler, T. M.

    2014-12-01

    Fast-track programs to plant millions of trees in cities around the world aim at the reduction of summer temperatures, increase carbon storage, storm water control, provision of space for recreation, as well as poverty alleviation. Although these multiple benefits speak positively for urban greening programs, the programs do not take into account how close human and natural systems are coupled in urban areas. Elevated temperatures together with anthropogenic emissions of air and water pollutants distinguish the urban system. Urban and sub-urban vegetation responds to ambient changes and reacts with pollutants. Neglecting the existence of this coupling may lead to unforeseen drawbacks of urban greening programs. The potential for emissions from urban vegetation combined with anthropogenic emissions to produce ozone has long been recognized. This potential increases under rising temperatures. Here we investigate how global change induced heat waves affect emissions of volatile organic compounds (VOC) from urban vegetation and corresponding ground-level ozone levels. We also quantify other ecosystem services provided by urban vegetation (e.g., cooling and carbon storage) and their sensitivity to climate change. In this study we use Weather Research and Forecasting Model with coupled atmospheric chemistry (WRF-CHEM) to quantify these feedbacks in Berlin, Germany during the heat waves in 2003 and 2006. We highlight the importance of the vegetation for urban areas under changing climate and discuss associated tradeoffs.

  12. The influence of uncertain map features on risk beliefs and perceived ambiguity for maps of modeled cancer risk from air pollution

    OpenAIRE

    Severtson, Dolores; Myers, Jeffrey D.

    2012-01-01

    Maps are often used to convey information generated by models, for example, modeled cancer risk from air pollution. The concrete nature of images, such as maps, may convey more certainty than warranted for modeled information. Three map features were selected to communicate the uncertainty of modeled cancer risk: (a) map contours appeared in or out of focus, (b) one or three colors were used, and (c) a verbal-relative or numeric risk expression was used in the legend. Study aims were to asses...

  13. Pollution prevention at ports: clearing the air

    International Nuclear Information System (INIS)

    Seaports are major hubs of economic activity and of environmental pollution in coastal urban areas. Due to increasing global trade, transport of goods through ports has been steadily increasing and will likely continue to increase in the future. Evaluating air pollution impacts of ports requires consideration of numerous sources, including marine vessels, trucks, locomotives, and off-road equipment used for moving cargo. The air quality impacts of ports are significant, with particularly large emissions of diesel exhaust, particulate matter, and nitrogen oxides. The health effects of these air pollutants to residents of local communities include asthma, other respiratory diseases, cardiovascular disease, lung cancer, and premature mortality. In children, there are links with asthma, bronchitis, missed school days, and emergency room visits. The significance of these environmental health impacts requires aggressive efforts to mitigate the problem. Approaches to mitigation encompass a range of possibilities from currently available, low-cost approaches, to more significant investments for cleaner air. Examples of the former include restrictions on truck idling and the use of low-sulfur diesel fuel; the latter includes shore-side power for docked ships, and alternative fuels. A precautionary approach to port-related air pollution would encourage local production of goods in order to reduce marine traffic, greener design for new terminals, and state-of-the art approaches to emissions-control that have been successfully demonstrated at ports throughout the world

  14. Spatio-temporal modelling of atmospheric pollution based on observations provided by an air quality monitoring network at a regional scale

    International Nuclear Information System (INIS)

    This study is devoted to the spatio-temporal modelling of air pollution at a regional scale using a set of statistical methods in order to treat the measurements of pollutant concentrations (NO2, O3) provided by an air quality monitoring network (AIRPARIF). The main objective is the improvement of the pollutant fields mapping using either interpolation methods based on the spatial or spatio-temporal structure of the data (spatial or spatio-temporal kriging) or some algorithms taking into account the observations, in order to correct the concentrations simulated by a deterministic model (Ensemble Kalman Filter). The results show that nitrogen dioxide mapping based only on spatial interpolation (kriging) gives the best results, while the spatial repartition of the monitoring sites is good. For the ozone mapping it is the sequential data assimilation that leads us to a better reconstruction of the plume's form and position for the analyzed cases. Complementary to the pollutant mapping, another objective was to perform a local prediction of ozone concentrations on a 24-hour horizon; this task was performed using Artificial Neural Networks. The performance indices obtained using two types of neural architectures indicate a fair accuracy especially for the first 8 hours of prediction horizon. (author)

  15. Analysis of air pollution and greenhouse gases

    Energy Technology Data Exchange (ETDEWEB)

    Benkovitz, C.M.

    1992-03-01

    The current objective of the project Analysis of Air Pollution and Greenhouse Gases'' is to develop a study of emissions and emission sources that could easily be linked to models of economic activity. Initial studies were conducted to evaluate data currently available linking activity rates and emissions estimates. The emissions inventory developed for the National Acid Precipitation Assessment Program (NAPAP) presents one of the most comprehensive data sets, and was chosen for our initial studies, which are described in this report. Over 99% of the SO{sub 2} emissions, 98% of the NO{sub x} emission and 57% of the VOC emissions from area sources are related to fuel combustion. The majority of emission from these sources are generated by the transportation sector. Activity rates for area sources are not archived with the NAPAP inventory; alternative derivations of these data will be part of the future activities of this project. The availability and completeness of the fuel heat content data in the NAPAP inventory were also studied. Approximately 10% of the SO{sub 2} emissions, 13% of the NO{sub x} emissions and 46% of the VOC emissions are generated by sources with unavailable data for fuel heat content. Initial estimates of pollutant emission rate per unit fuel heat content. Initial estimates of pollutant emission rate per unit fuel heat content were generated. Future studies for this project include the derivation of activity rates for area sources, improved explanations for the default fuel parameters defined in the NAPAP inventory and the development of links to data bases of economic activity.

  16. Air pollution monitoring in downtown Rome, Italy

    International Nuclear Information System (INIS)

    This paper tables air pollution data indicating concentrations of sulfur dioxide, nitrous oxides, carbon monoxide, ozone, non-methane hydrocarbons (NMTHC) and particulate matter measured in downtown Rome during the period, April 1990 - March 1991. These data are analyzed according to National Air Quality Standards. Correlations are developed for nitrous oxide, NMTHC and ozone concentration trends as a function of solar radiation intensity. Analysis of the data reveals that the concentrations of the primary pollutants, carbon monoxide and nitrogen oxide, were very high in the winter months when building heating systems were operating under stable weather conditions. In many cases, the concentrations of carbon monoxide exceeded ambient air quality standards. The paper also discusses the need for the development of limits for NMTHC concentrations and including these limits in the Air Quality Standards

  17. Air pollution of urban areas

    OpenAIRE

    Makarova, V. N.

    2016-01-01

    Raising of problem. Any manufacturing processes related to the generation of waste. Year after year, a growing mass of waste is one of the main factors reducing the quality of the environment and destruction of natural landscapes. Industrial development inevitably enhances human impacts on the environment and disrupts the ecological balance [3]. Atmospher air is a vital element of the environment. The development of industry, the growth of cities, increasing the number of transport, active ex...

  18. Regulations Concerning Agriculture and Air Pollution

    Directory of Open Access Journals (Sweden)

    Chiara Bertora

    2010-03-01

    Full Text Available The main issues related to the atmospheric pollution are the stratospheric ozone depletion, the transboundary air pollution, the troposphere air quality and the climate change. The three last decades have seen the birth of several measures for the atmosphere safeguard. Agricultural activities play a key role in determining, preventing and mitigating atmospheric pollution. The emission to atmosphere of different ozone-depleting substances is regulated by the Montreal Protocol. The role of agriculture activity in ozone depletion is linked to the utilization of methyl bromide as soil sterilant and to the emission of nitrogen oxides and nitrous oxide, from agricultural soils. The Convention on long-range transboundary air pollution regulates the emission of several pollutants, i.e. sulphur dioxide, nitrogen oxides, ammonia, non methane volatile organic compounds, carbon monoxide, heavy metals, persistent organic pollutants, and tropospheric ozone. The agriculture sector is responsible for a large part of the emissions of ammonia and nitrogen oxides, mainly through manure management and nitrogen fertilization, and of most persistent organic pollutants, largely used in the past as insecticides and fungicides. The increase of the greenhouse gases (GHGs concentration in the atmosphere is under the control of the Kyoto Protocol. Agriculture accounts for 59-63% of global non-CO2 GHGs emissions but at the same time it contributes to the atmospheric CO2 concentration stabilisation through the substitution of fossil fuels by biofuels and the sequestration of C in soil and vegetal biomass. In this paper we provide an outline of the numerous scientific and legislative initiatives aimed at protecting the atmosphere, and we analyse in detail the agriculture sector in order to highlight both its contribution to atmospheric pollution and the actions aimed at preventing and mitigating it.

  19. Air pollution forecast in cities by an air pollution index highly correlated with meteorological variables

    International Nuclear Information System (INIS)

    There are many different air pollution indexes which represent the global urban air pollution situation. The daily index studied here is also highly correlated with meteorological variables and this index is capable of identifying those variables that significantly affect the air pollution. The index is connected with attention levels of NO2, CO and O3 concentrations. The attention levels are fixed by a law proposed by the Italian Ministries of Health and Environment. The relation of that index with some meteorological variables is analysed by the linear multiple partial correlation statistical method. Florence, Milan and Vicence were selected to show the correlation among the air pollution index and the daily thermic excursion, the previous day's air pollution index and the wind speed. During the January-March period the correlation coefficient reaches 0.85 at Milan. The deterministic methods of forecasting air pollution concentrations show very high evaluation errors and are applied on limited areas around the observation stations, as opposed to the whole urban areas. The global air pollution, instead of the concentrations at specific observation stations, allows the evaluation of the level of the sanitary risk regarding the whole urban population. (Author)

  20. Human exposure to urban air pollution.

    OpenAIRE

    Boström, C E; Almén, J; Steen, B; Westerholm, R

    1994-01-01

    This study deals with some methods of making human exposure estimates, aimed at describing the human exposure for selected air pollutants in Sweden that are suspected carcinogens. Nitrogen oxides (NOx) have been chosen as an indicator substance for estimating the concentration of the urban plume. Earlier investigations have shown that the traffic in Swedish cities contributes around 85% to the measured NOx concentrations, and that most of the mutagenicity in urban air originates from traffic....

  1. Air pollution measurements in traffic tunnels.

    OpenAIRE

    De Fré, R; Bruynseraede, P; Kretzschmar, J G

    1994-01-01

    Air pollution measurements during April 1991 are reported from the Craeybeckx highway tunnel in Antwerp, Belgium. The tunnel was used daily by an average of 45,000 vehicles, of which 60% were gasoline fueled passenger cars, 20% diesel cars, and 20% trucks. Of the gasoline cars, only 3% had three-way catalysts. Tunnel air concentrations of nitrogen oxides, sulphur dioxide, carbon dioxide, carbon monoxide, nonmethane hydrocarbons, volatile organic compounds, polycyclic aromatic hydrocarbons, an...

  2. Hold your breath: A new index of air pollution

    International Nuclear Information System (INIS)

    Environmental quality and climate change have been discussed prominently as urgent problems that – due to air pollution – produce severe consequences affecting the everyday life of millions of people. Using a Multiple Indicators Multiple Causes (MIMIC) model, we calculate a new index of air pollution and provide a ranking for 122 countries for every fifth year between 1985 and 2005. The empirical analysis supports the Environmental Kuznets Curve (EKC) hypothesis and shows a significant influence of determinants such as energy efficiency, industrial production, the electricity produced from coal sources, and demographic transition on air pollution. According to the index, Norway, Switzerland, Japan, Luxembourg, and Iceland are among the top 5 countries in terms of air quality performance. Eritrea, Mozambique, Tajikistan, the Democratic Republic of Congo, and Ethiopia performed worst in 2005. - Highlights: ► We calculate a new index of air pollution and provide a ranking for 122 countries. ► The empirical analysis supports the EKC hypothesis. ► Country ranking of this air pollution index is comparable across the period 1985 to 2005. ► Definition of the underlying variables does not change and the methodology is consistent

  3. Experience with urban air pollution in Paterson, New Jersey and implications for air pollution communication.

    Science.gov (United States)

    Johnson, Branden B

    2012-01-01

    Communication about air pollution can help reduce health risks, but a scattered, largely qualitative literature on air pollution beliefs, attitudes, and behaviors raises questions about its effectiveness. A telephone survey of Paterson, New Jersey (USA) residents tested four hypotheses aimed toward integrating these findings. Self-reported sheltering indoors during high pollution, the recommended strategy, was predicted by perceived air quality and self-reported "sensitivity" to air pollution. Nearly a quarter of the sample reported mandatory outdoor activity (e.g., work) that might increase their exposures, but this factor did not significantly affect self-reported sheltering. Perceptions of air quality did not correlate strongly with official monitoring data (U.S. Air Quality Index (AQI)); even people who regularly sought AQI data relied upon sensory cues to high pollution, and secondarily upon health cues. Use of sensory and health cues, definitions of what makes someone sensitive to air pollution, and (less strongly) definitions of vulnerability to air pollution varied widely. The minority aware of the AQI were more likely to seek it if they had illnesses or saw themselves in the targeted AQI audience, yet less likely if they believed themselves sensitive to pollution. However, their sense of the AQI's match to their own experience was driven by whether they used sensory (yes) or health (no) cues, not by illness status. Some urban residents might not have access to AQI data, but this barrier seems outweighed by need to bridge interpretive gaps over definitions of air pollution, sensory perception, vulnerability, and health consequences. PMID:21883333

  4. Does Air Pollution Matter for Low Birth Weight?

    OpenAIRE

    Seonyeong Cho; Choongki Lee; Beomsoo Kim

    2012-01-01

    There is growing concern that air pollution may impact the health of newborns. This study examines this issue by considering overtime variation generated by exogenous changes in the pollution level in Korea in early 2000, when some part of Korea experienced huge drop in air pollution. We matched the census of all births from 1998 to 2008 and air pollution data in mother¡¯s residence county level. For air pollutants, we considered carbon monoxide, nitrogen dioxide, particulate matter, sulfur d...

  5. Metrology of gaseous air pollutants

    Energy Technology Data Exchange (ETDEWEB)

    Walden, J.

    2009-07-01

    The need for mutual recognition of accurate measurement results made by competent laboratories has been very widely accepted at the international level e.g., at the World Trade Organization. A partial solution to the problem was made by the International Committee for Weights and Measures (CIPM) in setting up the Mutual Recognition Arrangement (CIPM MRA), which was signed by National Metrology Institutes (NMI) around the world. The core idea of the CIPM MRA is to have global arrangements for the mutual acceptance of the calibration certificates of National Metrology Institutes. The CIPM MRA covers all the fields of science and technology for which NMIs have their national standards. The infrastructure for the metrology of the gaseous compounds carbon monoxide (CO), nitrogen monoxide (Norway), nitrogen dioxide (NO{sub 2}), sulphur dioxide (SO2) and ozone (O{sub 3}) has been constructed at the national level at the Finnish Meteorological Institute (FMI). The calibration laboratory at the FMI was constructed for providing calibration services for air quality measurements and to fulfil the requirements of a metrology laboratory. The laboratory successfully participated, with good results, in the first comparison project, which was aimed at defining the state of the art in the preparation and analysis of the gas standards used by European metrology institutes and calibration laboratories in the field of air quality. To confirm the competence of the laboratory, the international external surveillance study was conducted at the laboratory. Based on the evidence, the Centre for Metrology and Accreditation (MIKES) designated the calibration laboratory at the Finnish Meteorological Institute (FMI) as a National Standard Laboratory in the field of air quality. With this designation, the MIKES-FMI Standards Laboratory became a member of CIPM MRA, and Finland was brought into the internationally-accepted forum in the field of gas metrology. The concept of 'once measured

  6. The DMU-ATMI THOR Air Pollution Forecast System

    DEFF Research Database (Denmark)

    Brandt, J.; Christensen, J. H.; Frohn, L. M.;

    A new operational air pollution forecast system, THOR, has been developed at the National Environmental Research Institute, Den-mark. The integrated system consists of a series of different air pollu-tion models, which cover a wide range of scales (from European scale to street scale in cities...... examples of model results and preliminary valida-tions will be shown. Also the end user interface is described. The system has been prepared to include additional cities and streets. However, new implementations also require additional input data such as emission, street configuration and traffic data...

  7. Health impact of air pollution to children.

    Science.gov (United States)

    Sram, Radim J; Binkova, Blanka; Dostal, Miroslav; Merkerova-Dostalova, Michaela; Libalova, Helena; Milcova, Alena; Rossner, Pavel; Rossnerova, Andrea; Schmuczerova, Jana; Svecova, Vlasta; Topinka, Jan; Votavova, Hana

    2013-08-01

    Health impact of air pollution to children was studied over the last twenty years in heavily polluted parts of the Czech Republic during. The research program (Teplice Program) analyzed these effects in the polluted district Teplice (North Bohemia) and control district Prachatice (Southern Bohemia). Study of pregnancy outcomes for newborns delivered between 1994 and 1998 demonstrated that increase in intrauterine growth retardation (IUGR) was associated with PM10 and c-PAHs exposure (carcinogenic polycyclic aromatic hydrocarbons) in the first month of gestation. Morbidity was followed in the cohort of newborns (N=1492) up to the age of 10years. Coal combustion in homes was associated with increased incidence of lower respiratory track illness and impaired early childhood skeletal growth up to the age of 3years. In preschool children, we observed the effect of increased concentrations of PM2.5 and PAHs on development of bronchitis. The Northern Moravia Region (Silesia) is characterized by high concentrations of c-PAHs due to industrial air pollution. Exposure to B[a]P (benzo[a]pyrene) in Ostrava-Radvanice is the highest in the EU. Children from this part of the city of Ostrava suffered higher incidence of acute respiratory diseases in the first year of life. Gene expression profiles in leukocytes of asthmatic children compared to children without asthma were evaluated in groups from Ostrava-Radvanice and Prachatice. The results suggest the distinct molecular phenotype of asthma bronchiale in children living in polluted Ostrava region compared to children living in Prachatice. The effect of exposure to air pollution to biomarkers in newborns was analyzed in Prague vs. Ceske Budejovice, two locations with different levels of pollution in winter season. B[a]P concentrations were higher in Ceske Budejovice. DNA adducts and micronuclei were also elevated in cord blood in Ceske Budejovice in comparison to Prague. Study of gene expression profiles in the cord blood showed

  8. Public Health and Air Pollution in Asia (PAPA): A multicity study of short-term effects of air pollution on mortality

    OpenAIRE

    Wong, Chit-Ming; Vichit-Vadakan, Nuntavarn; Kan, Haidong; Qian, Zhengmin

    2008-01-01

    Background and Objectives: Although the deleterious effects of air pollution from fossil fuel combustion have been demonstrated in many Western nations, fewer studies have been conducted in Asia. The Public Health and Air Pollution in Asia (PAPA) project assessed the effects of short-term exposure to air pollution on daily mortality in Bangkok, Thailand, and in three cities in China: Hong Kong, Shanghai, and Wuhan. Methods: Poisson regression models incorporating natural spline smoothing func...

  9. Exposure to Air Pollutants During Physical Activity

    NARCIS (Netherlands)

    Ramos, C.A.

    2016-01-01

    The context for this thesis is the concern that people who practice physical activity are more susceptible to air pollution. For the studies presented here, three perspectives of physical activity were considered: in indoor, i) physical activity in fitness centers; in outdoor ii) the use of bicycle

  10. Air pollution control at a DOE facility

    International Nuclear Information System (INIS)

    The Department of Energy (DOE) plutonium production program Produced some of the greatest scientific and engineering accomplishments of all time. It is remarkable to consider the accomplishments of the Manhattan Project. The Reactor on the Hanford Site, the first production reactor in the world, began operation only 13 months after the start of construction. The DOE nuclear production program was also instrumental in pioneering other fields such as health physics an radiation monitoring. The safety record of these installations is remarkable considering that virtually every significant accomplishment was on the technological threshold of the time. One other area that the DOE Facilities pioneered was the control of radioactive particles and gases emitted to the atmosphere. The high efficiency particulate air filter (HEPA) was a development that provided high collection efficiencies of particulates to protect workers and the public. The halogen and noble gases also were of particular concern. Radioactive iodine is captured by adsorption on activated carbon or synthetic zeolites. Besides controlling radioncuclide air pollution, DOE facilities are concerned with other criteria pollutants and hazardous air pollutant emissions. The Hanford Site encompasses all those air pollution challenges

  11. Human health effects of air pollution

    Energy Technology Data Exchange (ETDEWEB)

    Kampa, Marilena [Laboratory of Experimental Endocrinology, University of Crete, School of Medicine, P.O. Box 2208, Heraklion, 71003 (Greece)], E-mail: kampa@med.uoc.gr; Castanas, Elias [Laboratory of Experimental Endocrinology, University of Crete, School of Medicine, P.O. Box 2208, Heraklion, 71003 (Greece)], E-mail: castanas@med.uoc.gr

    2008-01-15

    Hazardous chemicals escape to the environment by a number of natural and/or anthropogenic activities and may cause adverse effects on human health and the environment. Increased combustion of fossil fuels in the last century is responsible for the progressive change in the atmospheric composition. Air pollutants, such as carbon monoxide (CO), sulfur dioxide (SO{sub 2}), nitrogen oxides (NOx), volatile organic compounds (VOCs), ozone (O{sub 3}), heavy metals, and respirable particulate matter (PM2.5 and PM10), differ in their chemical composition, reaction properties, emission, time of disintegration and ability to diffuse in long or short distances. Air pollution has both acute and chronic effects on human health, affecting a number of different systems and organs. It ranges from minor upper respiratory irritation to chronic respiratory and heart disease, lung cancer, acute respiratory infections in children and chronic bronchitis in adults, aggravating pre-existing heart and lung disease, or asthmatic attacks. In addition, short- and long-term exposures have also been linked with premature mortality and reduced life expectancy. These effects of air pollutants on human health and their mechanism of action are briefly discussed. - The effect of air pollutants on human health and underlying mechanisms of cellular action are discussed.

  12. Human health effects of air pollution

    International Nuclear Information System (INIS)

    Hazardous chemicals escape to the environment by a number of natural and/or anthropogenic activities and may cause adverse effects on human health and the environment. Increased combustion of fossil fuels in the last century is responsible for the progressive change in the atmospheric composition. Air pollutants, such as carbon monoxide (CO), sulfur dioxide (SO2), nitrogen oxides (NOx), volatile organic compounds (VOCs), ozone (O3), heavy metals, and respirable particulate matter (PM2.5 and PM10), differ in their chemical composition, reaction properties, emission, time of disintegration and ability to diffuse in long or short distances. Air pollution has both acute and chronic effects on human health, affecting a number of different systems and organs. It ranges from minor upper respiratory irritation to chronic respiratory and heart disease, lung cancer, acute respiratory infections in children and chronic bronchitis in adults, aggravating pre-existing heart and lung disease, or asthmatic attacks. In addition, short- and long-term exposures have also been linked with premature mortality and reduced life expectancy. These effects of air pollutants on human health and their mechanism of action are briefly discussed. - The effect of air pollutants on human health and underlying mechanisms of cellular action are discussed

  13. Exercise and outdoor ambient air pollution

    OpenAIRE

    Carlisle, A.; Sharp, N

    2001-01-01

    Objectives—To establish by literature survey: (a) levels at which air pollutants are considered damaging to human health and to exercisers in particular; (b) the current ambient levels experienced in the United Kingdom; (c) whether athletes are especially at risk.

  14. Electrodialytic remediation of air pollution control residues

    DEFF Research Database (Denmark)

    Jensen, Pernille Erland

    Air pollution control (APC) residue from municipal solid waste incineration (MSWI) consists of the fly ash, and, in dry and semi-dry systems, also the reaction products from the flue gas cleaning process. APC residue is considered a hazardous waste due to its high alkalinity, high content of salts...

  15. AIR POLLUTION FROM TRAFFIC AND RESPIRATORY HEALTH

    Directory of Open Access Journals (Sweden)

    Maja Nikolić

    2004-12-01

    Full Text Available Air pollution has very important influence on human health. Earlier investigations were not employed with estimation of influence of air pollution, which spring from traffic, on people health who live near busy cross – road.The aim of this paper was to determine how living near busy cross – road influences on appearance of respiratory symptoms and illness.400 adult people between 18-76 age who live five year least on this location at took a part in investigation. One group (200 live in Nis near the busiest cross-road, another group live in Niska Banja near cross-road with the smallest concentration of pollutants in last five years.We have determined that examines, who live near busy cross – road had statistical signify greater prevalence of all respiratory symptoms and pneumonia.Our investigation showed that living near busy cross road present risk factor for appearance of respiratory symptoms and pneumonia.

  16. Air Pollution and Autism Spectrum Disorders: Causal or Confounded?

    Science.gov (United States)

    Weisskopf, Marc G; Kioumourtzoglou, Marianthi-Anna; Roberts, Andrea L

    2015-12-01

    In the last decade, several studies have examined the association between perinatal exposure to ambient air pollution and risk of autism spectrum disorder (ASD). These studies have largely been consistent, with associations seen with different aspects of air pollution, including hazardous air toxics, ozone, particulate, and traffic-related pollution. Confounding by socioeconomic status (SES) and place of residence are of particular concern, as these can be related to ASD case ascertainment and other potential causal risk factors for ASD. While all studies take steps to address this concern, residual confounding is difficult to rule out. Two recent studies of air pollution and ASD, however, present findings that strongly argue against residual confounding, especially for factors that do not vary over relatively short time intervals. These two studies, conducted in communities around the USA, found a specific association with air pollution exposure during the 3rd, but not the 1st, trimester, when both trimesters were modeled simultaneously. In this review, we discuss confounding possibilities and then explain-with the aid of directed acyclic graphs (DAGs)-why an association that is specific to a particular time window, when multiple exposure windows are simultaneously assessed, argues against residual confounding by (even unmeasured) non-time-varying factors. In addition, we discuss why examining ambient air pollution concentration as a proxy for personal exposure helps avoid confounding by personal behavior differences, and the implications of measurement error in using ambient concentrations as a proxy for personal exposures. Given the general consistency of findings across studies and the exposure-window-specific associations recently reported, the overall evidence for a causal association between air pollution and ASD is increasingly compelling. PMID:26399256

  17. Air pollution from traffic and risk for brain tumors

    DEFF Research Database (Denmark)

    Poulsen, Aslak Harbo; Sørensen, Mette; Andersen, Zorana J;

    2016-01-01

    residential nitrogen oxides (NO x ) concentrations since 1971 with a validated dispersion model. Categorical and linear odds ratios (OR) and confidence intervals (CI) were calculated with conditional logistic regression models. RESULTS: The highest risk estimates for any brain cancer were observed among......PURPOSE: Air pollution is an established lung carcinogen, and there is increasing evidence that air pollution also negatively affects the brain. We have previously reported an association between air pollution and risk of brain tumors in a cohort study based on only 95 cases. We set out to...... replicate that finding in a large nationwide case-control study. METHODS: We identified all 4,183 adult brain tumor cases in Denmark in the years 2000-2009 and 8,018 risk set sampled population controls matched on gender and year of birth. We extracted residential address histories and estimated mean...

  18. Air Pollution Prevention Alliance between Japan and China: The Possibility and Problems

    OpenAIRE

    Lin Sun; Zhuyezi Sun

    2009-01-01

    The air environmental pollutants exhausted by China have attracted the attention from the world, especially the neighboring countries including Japan. Japan has put forward a conceived model named Air Pollution Prevention Alliance between Japan and China. This article analyzes the background and causations of air environmental pollution problems in China, and the efforts that Chinese government has made in energy conservation and lessening the pollutants exhaust of car. On this basis, we anal...

  19. Acculturation, ethnicity, and air pollution perceptions.

    Science.gov (United States)

    Johnson, Branden B

    2011-06-01

    A globalizing world increases immigration between nations, raising the question of how acculturation (or its lack) of immigrants and their descendants to host societies affects risk perceptions. A survey of Paterson, New Jersey, residents tested acculturation's associations with attitudes to air pollution and its management, and knowledge of and self-reported behaviors concerning air pollution. Linguistic and temporal proxy measures for acculturation were independent variables along with ethnicity, plus controls for gender, age, education, and income in multivariate analyses. About one-fifth of contrasts between non-Hispanic whites, non-Hispanic blacks, English-interviewed Hispanics, and Spanish-interviewed Hispanics were statistically significant (Bonferroni-corrected) and of medium or higher affect size, with most featuring the Spanish-interviewed Hispanics. Knowledge variables featured the most significant differences. Specifically, Spanish-interviewed Hispanics reported less concern, familiarity with pollution, recognition of high pollution, and vigorous outdoor activity, and greater belief that government overregulates pollution than English-interviewed Hispanics (and than the other two groups on most of these variables too). English-interviewed Hispanics did not differ from non-Hispanic whites, but did on several variables from non-Hispanic blacks. Temporal proxies of acculturation among the foreign-born were far less significant, but concern and familiarity with air pollution increased with time spent in the United States, while belief in overregulation and a positive trend in New Jersey pollution increased with time in the nation of origin. Implications of these acculturation and ethnicity findings for risk perception/communication research and practice are discussed. PMID:21231941

  20. Land survey map of air pollutants

    International Nuclear Information System (INIS)

    The first step toward finding a solution to the problems with air pollution is the realization of a land survey map of polluters and a constant acquisition of data from periodical controls of emission of harmful materials, which will be carried out with a determined dynamic. Such a land survey map is not a project which should be finished within a strict time limit, but is intended to create all conditions for a periodical monitoring of emission of harmful materials from registered polluters in order to make a periodical, exact picture of the quantity of harmful materials, which are conveyed by polluters in certain city, a part of the state or the whole country. (author). 4 ills

  1. Air pollutant penetration through airflow leaks into buildings

    Energy Technology Data Exchange (ETDEWEB)

    Liu, De-Ling

    2002-09-01

    The penetration of ambient air pollutants into the indoor environment is of concern owing to several factors: (1) epidemiological studies have shown a strong association between ambient fine particulate pollution and elevated risk of human mortality; (2) people spend most of their time in indoor environments; and (3) most information about air pollutant concentration is only available from ambient routine monitoring networks. A good understanding of ambient air pollutant transport from source to receptor requires knowledge about pollutant penetration across building envelopes. Therefore, it is essential to gain insight into particle penetration in infiltrating air and the factors that affect it in order to assess human exposure more accurately, and to further prevent adverse human health effects from ambient particulate pollution. In this dissertation, the understanding of air pollutant infiltration across leaks in the building envelope was advanced by performing modeling predictions as well as experimental investigations. The modeling analyses quantified the extent of airborne particle and reactive gas (e.g., ozone) penetration through building cracks and wall cavities using engineering analysis that incorporates existing information on building leakage characteristics, knowledge of pollutant transport processes, as well as pollutant-surface interactions. Particle penetration is primarily governed by particle diameter and by the smallest dimension of the building cracks. Particles of 0.1-1 {micro}m are predicted to have the highest penetration efficiency, nearly unity for crack heights of 0.25 mm or higher, assuming a pressure differential of 4 Pa or greater and a flow path length of 3 cm or less. Supermicron and ultrafine particles (less than 0.1 {micro}m) are readily deposited on crack surfaces by means of gravitational settling and Brownian diffusion, respectively. The fraction of ozone penetration through building leaks could vary widely, depending

  2. Long-memory property in air pollutant concentrations

    Science.gov (United States)

    Chelani, Asha

    2016-05-01

    In the present paper, long-memory in air pollutant concentrations is reviewed and outcome of the past studies is analyzed to provide the possible mechanism behind temporal evolution of air pollutant concentrations. It is observed that almost all the studies show air pollutant concentrations over time possess persistence up to a certain limit. Self-organized criticality of air pollution, multiplicative process of pollutant concentrations, and uniformity in emission sources leading to self-organized criticality are few of the phenomena behind the persistent property of air pollutant concentrations. The self-organized criticality of air pollution is linked to atmosphere's self-cleansing mechanism. This demonstrates that inspite of increasing anthropogenic emissions, self-organized criticality of air pollution is sustained and has low influence of human interventions. In the future, this property may, however, be perturbed due to continuous air pollution emissions, which may influence the accuracy in predictions.

  3. China's international trade and air pollution in the United States.

    Science.gov (United States)

    Lin, Jintai; Pan, Da; Davis, Steven J; Zhang, Qiang; He, Kebin; Wang, Can; Streets, David G; Wuebbles, Donald J; Guan, Dabo

    2014-02-01

    China is the world's largest emitter of anthropogenic air pollutants, and measurable amounts of Chinese pollution are transported via the atmosphere to other countries, including the United States. However, a large fraction of Chinese emissions is due to manufacture of goods for foreign consumption. Here, we analyze the impacts of trade-related Chinese air pollutant emissions on the global atmospheric environment, linking an economic-emission analysis and atmospheric chemical transport modeling. We find that in 2006, 36% of anthropogenic sulfur dioxide, 27% of nitrogen oxides, 22% of carbon monoxide, and 17% of black carbon emitted in China were associated with production of goods for export. For each of these pollutants, about 21% of export-related Chinese emissions were attributed to China-to-US export. Atmospheric modeling shows that transport of the export-related Chinese pollution contributed 3-10% of annual mean surface sulfate concentrations and 0.5-1.5% of ozone over the western United States in 2006. This Chinese pollution also resulted in one extra day or more of noncompliance with the US ozone standard in 2006 over the Los Angeles area and many regions in the eastern United States. On a daily basis, the export-related Chinese pollution contributed, at a maximum, 12-24% of sulfate concentrations over the western United States. As the United States outsourced manufacturing to China, sulfate pollution in 2006 increased in the western United States but decreased in the eastern United States, reflecting the competing effect between enhanced transport of Chinese pollution and reduced US emissions. Our findings are relevant to international efforts to reduce transboundary air pollution. PMID:24449863

  4. Air pollution in the Benelux/Rhine-Ruhr area: Numerical simulations with a multi-scale regional chemistry-transport model

    Science.gov (United States)

    Memmesheimer, M.; Jakobs, H. J.; Wurzler, S.; Friese, E.; Piekorz, G.; Ebel, A.

    2009-04-01

    The Rhine-Ruhr area is a strongly industrialized region with about 10 Million inhabitants. It is one of the regions in Europe, which has the characteristics of a megacity with respect to population density, traffic, industry and environmental issues. The main centre of European steel production and the biggest inland port of the world is located in Duisburg, one of the major cities in the Rhine-Ruhr area. Together with the nearby urban agglomerations in the Benelux area including Brussels, Amsterdam and in particular Rotterdam as one of the most important sea-harbours of the world together with Singapore and Shanghai, it forms one of the regions in Europe heavily loaded with air pollutants as ozone, NO2 and particulate matter. Ammonia emissions outside the urban agglomerations but within the domain are also on a quite high level due to intense agricultural usage in Benelux, North-Rhine-Westphalia and lower Saxony. Therefore this area acts also as an important source region for gaseous precursors contributing to the formation of secondary particles in the atmosphere. The Benelux/Rhine-Ruhr area therefore has been selected within the framework of the recently established FP7 research project CityZen as one hot spot for detailed investigations of the past and current status of air pollution and its future development on different spatial and temporal scales. Some examples from numerical simulations with the regional multi-scale chemistry transport model EURAD for Central Europe and the Rhine-Ruhr area will be presented. The model calculates the transport, chemical transformations and deposition of trace constituents in the troposphere from the surface up to about 16 km using MM5 as meteorological driver, the RACM-MIM gas-phase chemistry and MADE-SORGAM for the treatment of particulate matter. Horizontal grid sizes are in the range of 100 km down to 1 km for heavily polluted urbanized areas within Benelux/Rhine-Ruhr. The planetary boundary layer is resolved by 15

  5. Endothelial damage due to air pollution

    Directory of Open Access Journals (Sweden)

    Livio Dei Cas

    2010-05-01

    Full Text Available The first human deaths due to air pollution were recorded in the mid-20th century. There were 6,000 cases of illness recorded in Donora, Pennsylvania, in 1948 and 20,000 in London in 1952; 15 and 4,000 cases of death, respectively, were allegedly ascribed to air pollution. Since then, many countries have adopted standards of air quality in order to protect environmental and human health, although the quality of the air in some industrialized countries remains worrying. Emerging countries in the Far East and South America are also cause for concern because of the growth in the population, industrialization and transport. The WHO World Health Report 2002 estimated that air pollutants, particularly PM10, are associated with a mortality rate of 5% for cancer of the respiratory system, 2% for cardiovascular diseases and about 1% for respiratory tract infections. These estimates consider the mortality but not the morbidity rate, which would increase proportionally the number of cases of these pathologies, despite the difficulty in evaluation.

  6. Modelling the influence of intermittent rain events on long-term fate and transport of organic air pollutants

    DEFF Research Database (Denmark)

    Jolliet, Olivier; Hauschild, Michael Zwicky

    2005-01-01

    The deposition of particles and substances in air is under strong influence of the precipitation patterns of the atmosphere. Most multimedia models, like type III Mackay models, treat rain as a continuous phenomenon. This may cause severe overestimation of the substance removal from the atmosphere...... through wet deposition, and an underestimation of travel distances, leading to the following questions: How strong is the influence of the intermittent character of rain on concentrations, residence times, deposited fractions and characteristic transport distances of different substances in air? Is there...... an expression which can provide an accurate approximation to be used in steady state multimedia models? Assuming a periodically intermittent rain, the mass of an emitted substance which is present in the air compartment is calculated as a function of the deposition rate constants during dry and wet...

  7. Assessment of socioeconomic costs to China's air pollution

    Science.gov (United States)

    Xia, Yang; Guan, Dabo; Jiang, Xujia; Peng, Liqun; Schroeder, Heike; Zhang, Qiang

    2016-08-01

    Particulate air pollution has had a significant impact on human health in China and it is associated with cardiovascular and respiratory diseases and high mortality and morbidity. These health impacts could be translated to reduced labor availability and time. This paper utilized a supply-driven input-output (I-O) model to estimate the monetary value of total output losses resulting from reduced working time caused by diseases related to air pollution across 30 Chinese provinces in 2007. Fine particulate matter (PM2.5) pollution was used as an indicator to assess impacts to health caused by air pollution. The developed I-O model is able to capture both direct economic costs and indirect cascading effects throughout inter-regional production supply chains and the indirect effects greatly outnumber the direct effects in most Chinese provinces. Our results show the total economic losses of 346.26 billion Yuan (approximately 1.1% of the national GDP) based on the number of affected Chinese employees (72 million out of a total labor population of 712 million) whose work time in years was reduced because of mortality, hospital admissions and outpatient visits due to diseases resulting from PM2.5 air pollution in 2007. The loss is almost the annual GDP of Vietnam in 2010. The proposed modelling approach provides an alternative method for health-cost measurement with additional insights on inter-industrial and inter-regional linkages along production supply chains.

  8. Assessment of past, present and future health-cost externalities of air pollution in Europe and the contribution from international ship traffic using the EVA model system

    Directory of Open Access Journals (Sweden)

    J. Brandt

    2013-03-01

    Full Text Available An integrated model system, EVA (Economic Valuation of Air pollution, based on the impact-pathway chain has been developed, to assess the health-related economic externalities of air pollution resulting from specific emission sources or sectors. The model system can be used to support policy-making with respect to emission control. In this study, we apply the EVA system to Europe, and perform a more detailed assessment of past, present, and future health-cost externalities of the total air pollution levels in Europe (including both natural and anthropogenic sources, represented by the years 2000, 2007, 2011, and 2020. We also assess the contribution to the health-related external costs from international ship traffic with special attention to the international ship traffic in the Baltic and North Seas, since special regulatory actions on sulphur emissions, called SECA (sulphur emission control area, have been introduced in these areas,. We conclude that despite efficient regulatory actions in Europe in recent decades, air pollution still constitutes a serious problem to human health, hence the related external costs are considerable. The total health-related external costs for the whole of Europe is estimated at 803 bn Euro yr−1 for the year 2000, decreasing to 537 bn Euro yr−1 in the year 2020. We estimate the total number of premature deaths in Europe in the year 2000 due to air pollution to be around 680 000 yr−1, decreasing to approximately 450 000 in the year 2020. The contribution from international ship traffic in the Northern Hemisphere was estimated to 7% of the total health-related external costs in Europe in the year 2000, increasing to 12% in the year 2020. In contrast, the contribution from international ship traffic in the Baltic Sea and the North Sea decreases 36% due to the regulatory efforts of reducing sulphur emissions from ship traffic in SECA. Introducing this regulatory instrument for all international ship traffic in

  9. Verification of a prognostic meteorological and air pollution model for year-long predictions in the Kwinana industrial region of Western Australia

    International Nuclear Information System (INIS)

    A prognostic air pollution model (TAPM) has been used to predict meteorology and sulphur dioxide concentration in the Kwinana industrial region of Western Australia for 1997, with a view to verifying TAPM for use in environmental impact assessments and associated air pollution studies. The regulatory plume model, DISPMOD, developed for the Kwinana region has also been run using both an observationally based meteorological file (denoted DISPMOD-O) and using a TAPM-based meteorological file (denoted DISPMOD-T). TAPM predictions of the meteorology for 1997 compare well with the observed values at each of the five monitoring sites. Root mean square error and index of agreement values for temperature and winds indicate that TAPM performs well at predicting the meteorology, compared to the performance of similar models from other studies. The yearly average, 99.9 percentile, maximum and mean of the top 10 ground-level sulphur dioxide concentrations for 1997 were predicted well by all of the model runs, although DISPMOD-O and DISPMOD-T tended to overpredict extreme statistics at sites furthest from the sources. Overall, TAPM performed better than DISPMOD-O, which in turn performed better than DISPMOD-T, for all statistics considered, but we consider that all three sets of results are sufficiently accurate for regulatory applications. The mean of the top ten concentrations is generally considered to be a robust performance statistic for air pollution applications, and we show that compared to the site-averaged observed value of 95μgm-3, TAPM predicted 94μgm-3, DISPMOD-O predicted 111μgm-3 and DISPMOD-T predicted 125μgm-3. The results indicate that the prognostic meteorological and air pollution approach to regulatory modelling used by TAPM, gives comparable or better results than the current regulatory approach used in the Kwinana region (DISPMOD), and also indicates that the approach of using a currently accepted regulatory model with a prognostically determined

  10. Atmospheric impacts of the 2010 Russian wildfires: integrating modelling and measurements of the extreme air pollution episode in the Moscow megacity region

    Directory of Open Access Journals (Sweden)

    I. B. Konovalov

    2011-04-01

    Full Text Available Numerous wildfires provoked by an unprecedented intensive heat wave caused continuous episodes of extreme air pollution in several Russian cities and densely pullulated regions, including the Moscow megacity region. This paper analyzes the chemical evolution of the atmosphere over the Moscow region during the 2010 heat wave by integrating available ground based and satellite measurements with results of meso-scale modeling. The state-of-the-art CHIMERE CTM is used, which is modified to take into account air pollutant emissions from wildfires and the shielding effect of smoke aerosols. The wild fire emissions are derived from satellite measurements of the fire radiative power and are optimized by assimilating data of ground measurements of carbon monoxide (CO and particulate matter (PM10 into the model. It is demonstrated that the optimized simulations reproduce independent observations, which were withheld during the optimisation procedure, quite adequately (specifically, the correlation coefficient of daily time series of CO and PM10 exceeds 0.8 and that inclusion of the fire emissions into the model significantly improves its performance. The results of the analysis show that wildfires were a principal factor causing the observed air pollution episodes associated with the extremely high level of daily mean CO and PM10 concentrations (up to 10 mg m−3 and 700 μg m−3 in the averages over available monitoring sites, respectively in the Moscow region, although accumulation of anthropogenic pollution was also favoured by a stagnant meteorological situation. In contrast, diagnostic model runs indicate that ozone concentrations could reach very high values even without fire emissions which provide "fuel" for ozone formation, but, at the same time, inhibit it as a result of absorption and scattering of solar radiation by smoke aerosols. The analysis of MOPITT CO measurements and of

  11. AIR POLLUTION DIFFERENCES IN SIMULATION PATTERNS BY USING MM5-CMAQ AND WRF-CMAQ: SUMMER 2003 EUROPEAN POLLUTION EPISODE

    OpenAIRE

    San José, Roberto; Pérez, Juan L.; Morant, José L.; González, Rosa M.

    2008-01-01

    Abstract: One of the most important advantages of the modern and state-of-the-art air quality modelling systems is the capability to produce air pollution forecasts and particularly for ozone. In this contribution, we have applied the CMAQ (EPA) air quality modelling system to produce ozone air quality forecasts and compare the results for the 2003 August, episode in Europe. Modern air quality modelling systems are composed by a complete, modern and robust mesoscale meteorological mo...

  12. Relationships in indoor/outdoor air pollution

    International Nuclear Information System (INIS)

    Beryllium-7 and sulphurhexaflourid has been used as tracers in measurements designed to enable an estimate of the ratio of the outdoor to indoor time-integrated concentration for aerosols and non-reactive gasses of outdoor origin with a special reference to the reduction in inhalation dose that can be achieved by staying indoors during a pollution episode, especially a reactor accident. The effect of operating a vacuum cleaner during the pollution episode and airing shortly after is also investigated. Earlier relevant literature is reviewed and shows goos agreement with the results in this study. Protection factor from 1-12 has been found. (author)

  13. Air Pollution Assessment Combusting Fermented Waste

    Directory of Open Access Journals (Sweden)

    Violeta Čepanko

    2011-04-01

    Full Text Available This work examines the problem of air pollution burning organic waste from agricultural and drinks production sectors. Chicken and pig manure and biogas dregs after extraction, i.e. after the process of fermentation in laboratory bioreactors were selected as an object of research. The article presents the method of fermented waste incineration and the experimental results of waste incineration. Periodic surveys of kiln load disclosed that under combustion, pollutant concentrations change over time depending on the stage of combustion.Article in Lithuanian

  14. Air pollution and health risks due to vehicle traffic

    OpenAIRE

    Zhang, Kai; Batterman, Stuart

    2013-01-01

    Traffic congestion increases vehicle emissions and degrades ambient air quality, and recent studies have shown excess morbidity and mortality for drivers, commuters and individuals living near major roadways. Presently, our understanding of the air pollution impacts from congestion on roads is very limited. This study demonstrates an approach to characterize risks of traffic for on- and near-road populations. Simulation modeling was used to estimate on- and near-road NO2 concentrations and he...

  15. Ambient Air Pollution and Autism in Los Angeles County, California

    DEFF Research Database (Denmark)

    Becerra, Tracy Ann; Wilhelm, Michelle; Olsen, Jørn;

    2013-01-01

    Background: The prevalence of Autistic Disorder (AD), a serious developmental condition, has risen dramatically over the past two decades but high-quality population-based research addressing etiology is limited. Objectives: We studied the influence of exposures to traffic-related air pollution...... during pregnancy on the development of autism using data from air monitoring stations and a land use regression (LUR) model to estimate exposures....

  16. Emission of toxic air pollutants from biomass combustion

    International Nuclear Information System (INIS)

    Combustion of biomass for power generation, home heating, process steam generation, and waste disposal constitutes a major source of air pollutants nationwide. Emissions from hog-fueled boilers, demolition wood-fired power plants, municipal waste incinerators, woodstoves, fireplaces, pellet stoves, agricultural burning, and forestry burning have been characterized for a variety of purposes. These have included risk assessment, permitting, emission inventory development, source profiling for receptor modeling, and control technology evaluations. From the results of the source characterization studies a compilation of emission factors for criteria and non-criteria pollutants are presented here. Key among these pollutants are polycyclic aromatic hydrocarbons, priority pollutant metals, carbon monoxide, sulfur dioxide, nitrous oxides, and PM10 particles. The emission factors from the biomass combustion processes are compared and contrasted with other pollutant sources. In addition, sampling and analysis procedures most appropriate for characterizing emissions from the biomass combustion sources are also discussed

  17. MATHEMATICAL MODELING CONSIDERING AIR POLLUTION OF TRANSPORTATION: AN URBAN ENVIRONMENTAL PLANNING, CASE STUDY IN PETALING JAYA, MALAYSIA

    OpenAIRE

    Mehrdad HADIPOUR; Sharareh POUREBRAHIM; Ahmad Rodzi MAHMMUD

    2009-01-01

    This paper provides the findings on a project undertaken to develop a geo-spatial mathematical model relating landuse, road type and air quality. The model shows how spatial elements and issues were quantified to accurately represent the usual and unusual urban environment in the development of residential land-use. The mathematical relationship was based on the optimum distance between residential area and urban transportation network. This mathematical analysis would provide a better planni...

  18. Air pollution and population health: a global challenge

    OpenAIRE

    Chen, Bingheng; Kan, Haidong

    2008-01-01

    Air pollution and population health” is one of the most important environmental and public health issues. Economic development, urbanization, energy consumption, transportation/motorization, and rapid population growth are major driving forces of air pollution in large cities, especially in megacities. Air pollution levels in developed countries have been decreasing dramatically in recent decades. However, in developing countries and in countries in transition, air pollution levels are still...

  19. Environmental Perception and Citizen Response: a Denver, Colorado Air Pollution Case Study.

    Science.gov (United States)

    Naomi, Leaura M.

    Denver, a high altitude city, suffers from air pollution. Automobile emissions, as well as wood and coal burning contribute to Denver's air pollution. In order to reduce its air pollution, Denver hosted a no-drive campaign, The Better Air Campaign. This study examined how Denver -area citizens perceived their air pollution, responded to their air pollution, and responded to their no-drive campaign. First, I conducted personal interviews of twenty Denver air pollution decision-makers to ascertain their perceptions and definitions of Denver's air pollution problem. Second, I created a theoretical model of environmental perception and behavioral response to air pollution. Third, I conducted a telephone survey of 500 Denver-area residents to examine the usefulness of the model. By segmenting a sample of 500 Denver-area residents via a modified values and lifestyles (VALS) technique included in a telephone survey, the perceptions and behaviors of residents fell into a clear pattern. This values and lifestyles pattern coincided with a conventional innovation-adoption pattern, including innovators, the bandwagon, and laggards. Thus, the research determined the population's perceptions and behavioral responses to their air pollution. The research also pointed a direction for Denver's air pollution decision-makers to follow in order to reduce use of the gasoline-powered automobile. And, for those interested in encouraging public acceptance of ecological sustainability, it suggested application of the VALS technique for reaching the public.

  20. Assessment of impact of air pollution on human health and environment in the South Durban Industrial Basin

    DEFF Research Database (Denmark)

    Madsen, P. V.; Hertel, O.; Bøgh, E.

    This study predicts the spatial variation of air quality and estimate the human health risk of air pollution in SDIB. The study is based on the operational air pollution (OML) model which is predicting the dispersion and quantifying the contribution of selected air pollutant as PM10, SO2 and NOX in...

  1. Air Pollution Modelling to Predict Maximum Ground Level Concentration for Dust from a Palm Oil Mill Stack

    Directory of Open Access Journals (Sweden)

    Regina A. A.

    2010-12-01

    Full Text Available The study is to model emission from a stack to estimate ground level concentration from a palm oil mill. The case study is a mill located in Kuala Langat, Selangor. Emission source is from boilers stacks. The exercise determines the estimate the ground level concentrations for dust to the surrounding areas through the utilization of modelling software. The surround area is relatively flat, an industrial area surrounded by factories and with palm oil plantations in the outskirts. The model utilized in the study was to gauge the worst-case scenario. Ambient air concentrations were garnered calculate the increase to localized conditions. Keywords: emission, modelling, palm oil mill, particulate, POME

  2. Ambient air quality and the effects of air pollutants on otolaryngology in Beijing

    OpenAIRE

    Zhang, Fengying; Xu, Jin; Zhang, Ziying; Meng, Haiying; Wang, Li; Lu, Jinmei; Wang, Wuyi; Kraft, Thomas

    2015-01-01

    Abstract To investigate temporal patterns, pollution concentrations and the health effects of air pollutants in Beijing we carried out time-series analyses on daily concentrations of ambient air pollutants and daily numbers of outpatient visits for otolaryngology over 2 years (2011– 2012) to identify possible health effects of air pollutants. The results showed that PM10 was the major air pollutant in Beijing and that air quality was slightly better in 2012 than in 201...

  3. Motor Vehicles Air Pollution in Nairobi, Kenya

    Directory of Open Access Journals (Sweden)

    George Odhiambo

    2010-10-01

    Full Text Available Air quality monitoring in most developing countries is not routinely conducted, and in some urban areas such information does not even exist, though signs of deteriorating air quality and health problems related to air pollution are visible. By measuring air pollutants (i.e., Nitrogen Oxides, ozone, suspended particulates matter (PM10, and trace elements e.g. lead, this study investigated air quality in Nairobi, one of the largest cities in eastern Africa and the capital of Kenya. Sampling was done once a week from February to April 2003. Hourly average concentrations of NOx and O3 were measured using a technique that is based on "chemilumiscent" reaction at a site connecting two main highways in Nairobi (University and Uhuru from 9:00 a.m. to 5:00 p.m. PM10 was collected using “Gent” Stacked Filter Unit (SFU air sampler fitted with nucleopore filters (0.4 and 8.0 mm pore size for fine and coarse filters, respectively that were analyzed for trace elements by Energy Dispersive X-ray Fluorescent (EDXRF technique. An automatic vehicle counter was used for determining the vehicle density at the sampling site. Results show that most pollutants, for example, lead (0.05 1 to 1.106 µg/m3, bromine (LLD to 0.43 µg/m3, NO2 (0.011-0.976 ppm, NO (0.001-0.2628 ppm and O3 (LLD-0.1258 ppm are within the WHO guidelines. PM10 levels (66.66 - 444.45 µg/m3 were above the WHO guidelines for most of the days, with coarse particulate accounting for more than 70%. Strong correlation (r = 0.966 between fine (0.4 µm particulates, NOx, and motor vehicle density, indicate the importance of traffic as a common source for both fine particulates and NOx.

  4. Urban air pollution, study of Mexico City

    Energy Technology Data Exchange (ETDEWEB)

    Bauer, M. [PUE-UNAM (Mexico); Guzman, F. [Inst. Mexicano del Petroleo (Mexico); Navarro, B. [Univ. Autonoma Metropolitana (Mexico)

    1996-12-01

    The Metropolitan Area of Mexico City (MAMC) is an outstanding case of a fast urban development with lagging, and thus insufficient, massive transportation facilities. This has given rise to a distorted transportation system that accounts for most of the air pollution problem of the city and constitutes a drag on economic development. In this paper, we first describe the MAMC geographical conditions, its growth in physical and economic terms, its transportation system, the ensuring air pollution problems together with some of the mitigation actions undertaken. Afterwards the results of a survey of the displacements of individuals within the city and the time spent on these are presented, to then draw some considerations on the negative economic impact it represents. (EG)

  5. Association between air pollution and ischemic cardiovascular emergency room visits

    International Nuclear Information System (INIS)

    This study observed the relationship between air pollutants and ischemic cardiac diseases such as angina and acute myocardial infarction in a representative cardiovascular center emergency room in Sao Paulo, Brazil. Daily emergency room admissions to the Institute of the Heart of the university of Sao Paulo, as well as data concerning daily air pollutant levels and meteorological variables, were collected from January 1994 to august 1995. Generalized additive Poisson regressions were fitted to the logarithm of the expected values of total emergency room visits due to angina or acute myocardial infarction, controlling for smooth functions of season and weather and indicators for days of the week. All investigated pollutants were positively associated with ischemic cardiovascular disease emergency room visits, and the time lags were relatively short, but only CO presented in effect that was statistically significant. An interquartile range increase n CO was associated with an increase of 6.4% (95% CI: 0.7-12.1) in daily angina or acute myocardial infarction emergency room visits. This result did not change when estimates were done using linear models and natural cubic plines. This study showed that air pollution has a role in cardiovascular morbidity in Sao Paulo, reinforcing the necessity for air pollutant mission-controlling polices in urban areas

  6. Athletic performance and urban air pollution.

    OpenAIRE

    Shephard, R. J.

    1984-01-01

    Air pollution may affect athletic performance. In Los Angeles, contaminants include carbon monoxide, ozone, peroxyacetylnitrate (PAN) and nitrogen oxides, whereas in older European cities, such as Sarajevo, "reducing smog" of sulfur dioxide is the main hazard. The carbon monoxide and ozone levels expected in Los Angeles this summer could affect the athletes' performance in endurance events at the Olympic Games. Carbon monoxide may also impair psychomotor abilities, and PAN causes visual distu...

  7. Air pollution control escalate equipment costs

    International Nuclear Information System (INIS)

    During fiscal year 1994, this author used the Bernard J. Steigerwald Opportunity for Independent Study, sponsored by US Environmental Protection Agency's Office of Air Quality Planning and Standards (Research Triangle Park, N.C.), to develop a group of quarterly indexes for adjusting or escalating air pollution control costs from one period to another. In all, nine indexes were developed, one equipment cost index (ECI) for each of nine control device categories. For convenience to the reader, additional indexes for two other equipment categories--available as part of the Producer Price Indexes compiled by the US Bureau of Labor Statistics--are also presented here. These 11 indexes--collectively known as the Vatavuk Air Pollution Control Cost Indexes (VAPCCI)--can be used to escalate costs from the initial (base) period (first quarter 1994) forward to any quarter in the future. To date, final indexes have been calculated (and are presented at the end of this article) for the second, third, and fourth quarters of 1994, and first quarter 1995; preliminary indexes are provided for second quarter 1995. Quarterly updates of these cost indexes will be computed as soon as the required input data become available. To date, no other set of cost indexes has been developed for such a wide array of pollution-control devices

  8. Short-term effects of daily air pollution on mortality

    Science.gov (United States)

    Wan Mahiyuddin, Wan Rozita; Sahani, Mazrura; Aripin, Rasimah; Latif, Mohd Talib; Thach, Thuan-Quoc; Wong, Chit-Ming

    2013-02-01

    The daily variations of air pollutants in the Klang Valley, Malaysia, which includes Kuala Lumpur were investigated for its association with mortality counts using time series analysis. This study located in the tropic with much less seasonal variation than typically seen in more temperate climates. Data on daily mortality for the Klang Valley (2000-2006), daily mean concentrations of air pollutants of PM10, SO2, CO, NO2, O3, daily maximum O3 and meteorological conditions were obtained from Malaysian Department of Environment. We examined the association between pollutants and daily mortality using Poisson regression while controlling for time trends and meteorological factors. Effects of the pollutants (Relative Risk, RR) on current-day (lag 0) mortality to seven previous days (lag 7) and the effects of the pollutants from the first two days (lag 01) to the first eight days (lag 07) were determined. We found significant associations in the single-pollutant model for PM10 and the daily mean O3 with natural mortality. For the daily mean O3, the highest association was at lag 05 (RR = 1.0215, 95% CI = 1.0013-1.0202). CO was found not significantly associated with natural mortality, however the RR's of CO were found to be consistently higher than PM10. In spite of significant results of PM10, the magnitude of RR's of PM10 was not important for natural mortality in comparison with either daily mean O3 or CO. There is an association between daily mean O3 and natural mortality in a two-pollutants model after adjusting for PM10. Most pollutants except SO2, were significantly associated with respiratory mortality in a single pollutant model. Daily mean O3 is also important for respiratory mortality, with over 10% of mortality associated with every IQR increased. These findings are noteworthy because seasonal confounding is unlikely in this relatively stable climate, by contrast with more temperate regions.

  9. Model calculations of the effects of present and future emissions of air pollutants from shipping in the Baltic Sea and the North Sea

    Directory of Open Access Journals (Sweden)

    J. E. Jonson

    2014-08-01

    Full Text Available Land-based emissions of air pollutants in Europe have steadily decreased over the past two decades, and this decrease is expected to continue. Within the same time span emissions from shipping have increased, although recently sulphur emissions, and subsequently particle emissions, have decreased in EU ports and in the Baltic Sea and the North Sea, defined as SECAs (Sulphur Emission Control Areas. The maximum allowed sulphur content in marine fuels in EU ports is now 0.1%, as required by the European Union sulphur directive. In the SECAs the maximum fuel content of sulphur is currently 1% (the global average is about 2.4%. This will be reduced to 0.1% from 2015, following the new IMO rules (International Maritime Organisation. In order to assess the effects of ship emissions in and around the Baltic Sea and the North Sea, regional model calculations with the EMEP air pollution model have been made on a 1/4° longitude × 1/8° latitude resolution, using ship emissions in the Baltic Sea and the North Sea that are based on accurate ship positioning data. The effects on depositions and air pollution and the resulting number of years of life lost (YOLL have been calculated by comparing model calculations with and without ship emissions in the two sea areas. The calculations have been made with emissions representative of 2009 and 2011, i.e. before and after the implementation of stricter controls on sulphur emissions from mid 2010. The calculations with present emissions show that per person, an additional 0.1–0.2 years of life lost is estimated in areas close to the major ship tracks with present emission levels. Comparisons of model calculations with emissions before and after the implementation of stricter emission control on sulphur show a general decrease in calculated particle concentration. At the same time, however, an increase in ship activity has resulted in higher emissions and subsequently air concentrations, in particular of NOx

  10. Air pollution in China: Scientific and Public Policy Challenges

    Science.gov (United States)

    Zhu, T.

    2014-12-01

    Sever air pollution in China has in recent years caused intensive public, media and governmental attention. Many questions need to be answered about the air pollution in China, such as how harmful is the air pollution, especially PM2.5? Why suddenly so many reports about sever air pollution, is the air in China getting more polluted? How to design a policy that can control the air pollution most efficiently? After updated the national Ambient Air Quality Standards in 2012 and included PM2.5 as one of the critical air pollutants, in 2013, Chinese central government released for the first time the "Air Pollution Prevention and Control Action Plan". The plan has set goals to reduce annual mean concentration of PM2.5 up to 25% in 2017 in different regions in China. If the ambitious goals were achieved, this could be the most significant air pollution reduction in such a short time that affects so many people in human history. To achieve these goals, however, there are enormous scientific and public policy challenges to deal with. For example: Identify the key components, size fraction of PM that have the largest health effects; and identify the sources of PM that has the most harmful effects on human health and ecosystem. Reduce the uncertainty in health risk assessment. Understand complicate chemical transformation processes in air pollution formation with intensive emissions from industry, power plant, vehicles, agriculture. Interactions between air pollution, PBL, and atmospheric circulation at different scales. The accountability, feasibility, effectiveness, and efficiency of air pollution control policies. Integrate multi-pollutant control and achieve co-benefit with climate and energy policy. Regional coordinated air pollution control. The largest challenge in China for air pollution control remains how to strength the link between science and policy.

  11. A Modeling Investigation of Human Exposure to Select Traffic-Related Air Pollutants in the Tampa Area: Spatiotemporal Distributions of Concentrations, Social Distributions of Exposures, and Impacts of Urban Design on Both

    Science.gov (United States)

    Yu, Haofei

    Increasing vehicle dependence in the United States has resulted in substantial emissions of traffic-related air pollutants that contribute to the deterioration of urban air quality. Exposure to urban air pollutants trigger a number of public health concerns, including the potential of inequality of exposures and health effects among population subgroups. To better understand the impact of traffic-related pollutants on air quality, exposure, and exposure inequality, modeling methods that can appropriately characterize the spatiotemporally resolved concentration distributions of traffic-related pollutants need to be improved. These modeling methods can then be used to investigate the impacts of urban design and transportation management choices on air quality, pollution exposures, and related inequality. This work will address these needs with three objectives: 1) to improve modeling methods for investigating interactions between city and transportation design choices and air pollution exposures, 2) to characterize current exposures and the social distribution of exposures to traffic-related air pollutants for the case study area of Hillsborough County, Florida, and 3) to determine expected impacts of urban design and transportation management choices on air quality, air pollution exposures, and exposure inequality. To achieve these objectives, the impacts of a small-scale transportation management project, specifically the '95 Express' high occupancy toll lane project, on pollutant emissions and nearby air quality was investigated. Next, a modeling method capable of characterizing spatiotemporally resolved pollutant emissions, concentrations, and exposures was developed and applied to estimate the impact of traffic-related pollutants on exposure and exposure inequalities among several population subgroups in Hillsborough County, Florida. Finally, using these results as baseline, the impacts of sprawl and compact urban forms, as well as vehicle fleet electrification

  12. Multivariate analysis between air pollutants and meteorological variables in Seoul

    International Nuclear Information System (INIS)

    Multivariate analysis was conducted to analyze the relationship between air pollutants and meteorological variables measured in Seoul from January 1 to December 31, 1999. The first principal component showed the contrast effect between O3 and the other pollutants. The second principal component showed the contrast effect between CO, SO2, NO2, and O3, PM10, TSP. Based on the cluster analysis, three clusters represented different air pollution levels, seasonal characteristics of air pollutants, and meteorological conditions. Discriminant analysis with air environment index (AEI) was carried out to develop an air pollution index function. (orig.)

  13. Public Perception of Urban Air Pollution: An Exploratory Study

    International Nuclear Information System (INIS)

    This report presents the results of a qualitative study using focus groups aimed at understanding the beliefs and attitudes of the population towards air pollution, its levels, causes, health impacts and possible mitigation and protection actions. The study sample consisted of members of the general population, between 18 and 65 years living in Barcelona. The analysis of the group discussion indicates that there is little awareness among participants about air pollution risks. The causes of air pollution are relatively known but there is little knowledge about pollution levels and types of pollutants. We found a low level of perceived personal risk associated to air pollution that coexists with a general awareness of the health impacts of air pollution, a low level of concern about the problem and a low level of personal involvement in mitigation and self protection measures. Participants reported no use of existing information services about air pollution. (Author)

  14. Effects of Compact Urban Development on Air Pollution: Empirical Evidence from Korea

    OpenAIRE

    Cho, Hee-Sun; Choi, Mack

    2014-01-01

    This study investigates the effects of compact urban development on air pollution, taking into account both the spatial distribution of pollutants resulting from an increase in inner urban densities and the dispersion of pollutants associated with an increase in outer green open spaces. The empirical analysis is based upon a panel data model covering 17 cities in Korea from 1996–2009; this approach is used because urban air pollution is influenced by spatial and temporal changes. Measuring ...

  15. Air pollutants emissions from waste treatment and disposal facilities.

    Science.gov (United States)

    Hamoda, Mohamed F

    2006-01-01

    This study examined the atmospheric pollution created by some waste treatment and disposal facilities in the State of Kuwait. Air monitoring was conducted in a municipal wastewater treatment plant, an industrial wastewater treatment plant established in a petroleum refinery, and at a landfill site used for disposal of solid wastes. Such plants were selected as models for waste treatment and disposal facilities in the Arabian Gulf region and elsewhere. Air measurements were made over a period of 6 months and included levels of gaseous emissions as well as concentrations of volatile organic compounds (VOCs). Samples of gas and bioaerosols were collected from ambient air surrounding the treatment facilities. The results obtained from this study have indicated the presence of VOCs and other gaseous pollutants such as methane, ammonia, and hydrogen sulphide in air surrounding the waste treatment and disposal facilities. In some cases the levels exceeded the concentration limits specified by the air quality standards. Offensive odors were also detected. The study revealed that adverse environmental impact of air pollutants is a major concern in the industrial more than in the municipal waste treatment facilities but sitting of municipal waste treatment and disposal facilities nearby the urban areas poses a threat to the public health. PMID:16401572

  16. Mortality, migration, income, and air pollution: a comparative study

    Energy Technology Data Exchange (ETDEWEB)

    Bozzo, S.R.; Novak, K.M.; Galdos, F.; Hakoopian, R.; Hamilton, L.D.

    1978-06-02

    The interrelationships among different demographic factors, specific causes of death, median family income, and estimated air pollution emissions were examined. Using the Medical Data Base (MEDABA) developed at Brookhaven National Laboratory, the entire population of the United States was cross-tabulated by income and emission levels of air pollutants. Path analysis was used to examine a number of patterns and relationships for each age, race, and sex group containing a minimum of 10,000 persons. Competitive and complementary effects were observed. These effects were frequently age dependent and occasionaly sex related. This specialized data base, the application of path analysis, and the development of a dynamic population and mortality model, in combination, proved to be a useful tool for investigating the effects of energy related pollutants on the exposed population.

  17. Protection of plants against air pollutants: Role of chemical protectants

    International Nuclear Information System (INIS)

    The protection of plants against air pollution damage can best be achieved either by developing pollution-tolerant cultivars or by using chemical protectants. Use of chemical protectants such as pesticides, growth regulators, anti-oxidants, fertilizers, etc. is a short-term solution to reduce the risk of air pollution damage. In addition, these protectants help in understanding the mechanism of air pollution toxicity and provide a scientific basis for assessing crop losses in field conditions. 95 refs

  18. Evaluating impacts of air pollution in China on public health: Implications for future air pollution and energy policies

    Energy Technology Data Exchange (ETDEWEB)

    Wang, X.P.; Mauzerall, D.L. [Princeton University, Princeton, NJ (United States). Woodrow Wilson School of Public & Internal Affairs

    2006-03-15

    Our objective is to establish the link between energy consumption and technologies, air pollution concentrations, and resulting impacts on public health in eastern China. We use Zaozhuang, a city in eastern China heavily dependent on coal, as a case study to quantify the impacts that air pollution in eastern China had on public health in 2000 and the benefits in improved air quality and health that could be obtained by 2020, relative to business-as-usual (BAU), through the implementation of best available emission control technology (BACT) and advanced coal gasification technologies (ACGT). We use an integrated assessment approach, utilizing state-of-the-science air quality and meteorological models, engineering, epidemiology, and economics, to achieve this objective. We find that total health damages due to year 2000 anthropogenic emissions from Zaozhuang, using the 'willingness-to-pay' metric, was equivalent to 10% of Zaozhuang's GDP. If all health damages resulting from coal use were internalized in the market price of coal, the year 2000 price would have more than tripled. With no new air pollution controls implemented between 2000 and 2020 but with projected increases in energy use, we estimate health damages from air pollution exposure to be equivalent to 16% of Zaozhuang's projected 2020 GDP. BACT and ACGT (with only 24% penetration in Zaozhuang and providing 2% of energy needs in three surrounding municipalities) could reduce the potential health damage of air pollution in 2020 to 13% and 8% of projected GDP, respectively. Benefits to public health, of substantial monetary value, can be achieved through the use of BACT; health benefits from the use of ACGT could be even larger.

  19. Interactive short-term effects of equivalent temperature and air pollution on human mortality in Berlin and Lisbon

    International Nuclear Information System (INIS)

    There is substantial evidence that both temperature and air pollution are predictors of mortality. Thus far, few studies have focused on the potential interactive effects between the thermal environment and different measures of air pollution. Such interactions, however, are biologically plausible, as (extreme) temperature or increased air pollution might make individuals more susceptible to the effects of each respective predictor. This study investigated the interactive effects between equivalent temperature and air pollution (ozone and particulate matter) in Berlin (Germany) and Lisbon (Portugal) using different types of Poisson regression models. The findings suggest that interactive effects exist between air pollutants and equivalent temperature. Bivariate response surface models and generalised additive models (GAMs) including interaction terms showed an increased risk of mortality during periods of elevated equivalent temperatures and air pollution. Cold effects were mostly unaffected by air pollution. The study underscores the importance of air pollution control in mitigating heat effects. -- Highlights: • Interactive effects between air pollution and equivalent temperature result in augmented excess mortality. • High levels of ozone and particulate matter increase adverse heat effects on human mortality. • Cold effects are mostly unaffected by air pollution. • Findings underscore the importance of air pollution control in mitigating heat-related mortality. -- Interactive effects between air pollution and elevated (equivalent) temperatures underscore the importance of air pollution control in mitigating the adverse effects of heat

  20. Air pollution monitoring in Amman, Jordan

    International Nuclear Information System (INIS)

    In 1985, a collaborative research program was established between the Royal Scientific Society of Jordan and Environment Canada, Pollution Measurement Division, Ottawa, Canada, with the objective of developing an air pollution monitoring network for Amman and preparing recommendations for national air quality standards and national emission standards for Jordan. Four monitoring sites were established in residential and commercial areas of Amman. Carbon monoxide, nitrogen dioxide, sulphur dioxide and total suspended particle matter (TSP) were measured at the Downtown station. At the other sites only TSP was measured. A short-term monitoring program carried out with a mobile monitoring unit showed relatively low levels of sulfur dioxide, carbon monoxide and nitrogen dioxide at the RSS, Naser and Marka sites as compared to the Downtown site. Continuous analyzers purchased from Environment SA, France, were used to measure sulfur dioxide, carbon monoxide and nitrogen dioxide; Sierra-Anderson high volume samplers equipped with glass fiber filters were used to collect total suspended particulates samples. Gaseous pollutants were continuously measured at the Downtown site and TSP samplers were operated on a three day schedule at all sites. Sampling began in July 1986 and continues to the present

  1. A numerical study of contributions to air pollution in Beijing during CAREBeijing-2006

    OpenAIRE

    Q. Z. Wu; Wang, Z. F.; A. Gbaguidi; Gao, C.; L. N. Li; Wang, W

    2011-01-01

    An online air pollutant tagged module has been developed in the Nested Air Quality Prediction Model System (NAQPMS) to investigate the impact of local and regional sources on the air pollutants in Beijing during the Campaign of Air Quality Research in Beijing 2006 (CAREBeijing-2006). The NAQPMS model shows high performance in simulating sulfur dioxide (SO2), particulate matter (PM10), nitrogen dioxide (NO2), and ozone (O<...

  2. New directions: Air pollution challenges for developing megacities like Delhi

    Science.gov (United States)

    Kumar, Prashant; Khare, Mukesh; Harrison, Roy M.; Bloss, William J.; Lewis, Alastair C.; Coe, Hugh; Morawska, Lidia

    2015-12-01

    Most major cities around the world experience periods of elevated air pollution levels, which exceed international health-based air quality standards (Kumar et al., 2013). Although it is a global problem, some of the highest air pollution levels are found in rapidly expanding cities in India and China. The sources, emissions, transformations and broad effects of meteorology on air pollution are reasonably well accounted in air quality control strategies in many developed cities; however these key factors remain poorly constrained in the growing cities of countries with emerging economies. We focus here on Delhi, one of the largest global population centres, which faces particular air pollution challenges, now and in the future.

  3. Modification by influenza on health effects of air pollution in Hong Kong

    OpenAIRE

    Wong, Chit Ming; YANG, LIN; Thach, Thuan Quoc; Chau, Patsy Yuen Kwan; Chan, King Pan; Thomas, G. Neil; Lam, Tai Hing; Wong, Tze Wai; Hedley, Anthony J.; Peiris, J. S. Malik

    2009-01-01

    Background: Both influenza viruses and air pollutants have been well documented as major hazards to human health, but few epidemiologic studies have assessed effect modification of influenza on health effects of ambient air pollutants. Objectives: We aimed to assess modifying effects of influenza on health effects of ambient air pollutants. Methods: We applied Poisson regression to daily numbers of hospitalizations and mortality to develop core models after adjustment for potential time-varyi...

  4. Improved Estimates of Air Pollutant Emissions from Biorefinery

    Energy Technology Data Exchange (ETDEWEB)

    Tan, Eric C. D.

    2015-11-13

    We have attempted to use detailed kinetic modeling approach for improved estimation of combustion air pollutant emissions from biorefinery. We have developed a preliminary detailed reaction mechanism for biomass combustion. Lignin is the only biomass component included in the current mechanism and methane is used as the biogas surrogate. The model is capable of predicting the combustion emissions of greenhouse gases (CO2, N2O, CH4) and criteria air pollutants (NO, NO2, CO). The results are yet to be compared with the experimental data. The current model is still in its early stages of development. Given the acknowledged complexity of biomass oxidation, as well as the components in the feed to the combustor, obviously the modeling approach and the chemistry set discussed here may undergo revision, extension, and further validation in the future.

  5. Effect of Air Pollutant Markers on Multiple Sclerosis Relapses.

    Directory of Open Access Journals (Sweden)

    Masoud Mehrpour

    2013-10-01

    Full Text Available Multiple Sclerosis (MS is one of the autoimmune diseases with an unknown cause. The aim of this study was to explore the link between air quality and MS relapses in patients who suffer from MS.This time-series study was conducted on patients registered at the Iranian Multiple Sclerosis Society in 2011-2012. They were randomly selected from patients lived in Tehran in the last five years, and had at least one relapse in the last three years. The link between monthly mean air pollutant levels and the relapses of MS in the participants was studied.Among the registered 160 participants, at least 150 had one attack during 2009 and 2012. Most air pollutants such as NO2, NO and CO are in high levels in the rainy season. Others like Pm10 and Nox are in high levels in the dry season. The correlation between NO2 levels of all markers of air quality and MS relapses (P=0.03, r=0.27 is weak. Best ARIMA model (p,d,q; 1,0,1 was determined between number of monthly relapses and living place, although this model was not significant (P=0.3 (AR; P=0.000, MA;P=0.4.Air pollutants might be regarded as a risk factor for MS relapse.

  6. Daily mortality and air pollution in The Netherlands.

    Science.gov (United States)

    Hoek, G; Brunekreef, B; Verhoeff, A; van Wijnen, J; Fischer, P

    2000-08-01

    We studied the association of daily mortality with short-term variations in the ambient concentrations of major gaseous pollutants and PM in the Netherlands. The magnitude of the association in the four major urban areas was compared with that in the remainder of the country. Daily cause-specific mortality counts, air quality, temperature, relative humidity, and influenza data were obtained from 1986 to 1994. The relationship between daily mortality and air pollution was modeled using Poisson regression analysis. We adjusted for potential confounding due to long-term and seasonal trends, influenza epidemics, ambient temperature and relative humidity, day of the week, and holidays, using generalized additive models. Influenza episodes were associated with increased mortality up to 3 weeks later. Daily mortality was significantly associated with the concentration of all air pollutants. An increase in the PM10 concentration by 100 micrograms/m3 was associated with a relative risk (RR) of 1.02 for total mortality. The largest RRs were found for pneumonia deaths. Ozone had the most consistent, independent association with mortality. Particulate air pollution (e.g., PM10, black smoke [BS]) was not more consistently associated with mortality than were the gaseous pollutants SO2 and NO2. Aerosol SO4(-2), NO3-, and BS were more consistently associated with total mortality than was PM10. The RRs for all pollutants were substantially larger in the summer months than in the winter months. The RR of total mortality for PM10 was 1.10 for the summer and 1.03 for the winter. There was no consistent difference between RRs in the four major urban areas and the more rural areas. PMID:11002600

  7. Predicting indoor pollutant concentrations, and applications to air quality management

    Energy Technology Data Exchange (ETDEWEB)

    Lorenzetti, David M.

    2002-10-01

    Because most people spend more than 90% of their time indoors, predicting exposure to airborne pollutants requires models that incorporate the effect of buildings. Buildings affect the exposure of their occupants in a number of ways, both by design (for example, filters in ventilation systems remove particles) and incidentally (for example, sorption on walls can reduce peak concentrations, but prolong exposure to semivolatile organic compounds). Furthermore, building materials and occupant activities can generate pollutants. Indoor air quality depends not only on outdoor air quality, but also on the design, maintenance, and use of the building. For example, ''sick building'' symptoms such as respiratory problems and headaches have been related to the presence of air-conditioning systems, to carpeting, to low ventilation rates, and to high occupant density (1). The physical processes of interest apply even in simple structures such as homes. Indoor air quality models simulate the processes, such as ventilation and filtration, that control pollutant concentrations in a building. Section 2 describes the modeling approach, and the important transport processes in buildings. Because advection usually dominates among the transport processes, Sections 3 and 4 describe methods for predicting airflows. The concluding section summarizes the application of these models.

  8. Multi-year simulations of air pollution in two cities

    Science.gov (United States)

    Zink, Katrin; Berchet, Antoine; Emmenegger, Lukas; Brunner, Dominik

    2016-04-01

    As more and more people are living in urban areas world wide, air quality monitoring and forecasting at the city scale becomes increasingly critical. Due to the proximity to sources and the complex, fine-scale structure of the flow and turbulence in the built environment, air pollutant concentrations vary strongly in cities both spatially and temporally. Studies assessing the effect of air pollution on human health would greatly benefit from accurate knowledge of individual exposure, but given the high variability of concentrations and the mobility of the population, this is a marvellous task requiring highly-resolved, city-wide information on air pollutant concentrations. The Swiss Nano-Tera project OpenSense II addresses these issues using statistical and physical modeling of air pollution at very high resolution combined with long-term air pollution measurements and mobile networks of low-cost sensors. In the framework of this project, we have set up the nested meteorology and dispersion model system GRAMM/GRAL the cities of Lausanne and Zurich and improved several computational aspects of the system. Using the mesoscale model GRAMM, we simulate the flow in a larger domain around the two cities at 100 m resolution taking the complex topography and influences of different land cover on surface-atmosphere exchange of heat and momentum into account. These flow fields serve as initial and boundary conditions for the nested model GRAL, which simulates the flow inside the city at building-resolving scale (5 m resolution) based on the Reynolds-Averaged-Navier-Stokes equations, and computes the transport and dispersion of air pollutants in a Lagrangian framework. For computational efficiency, both GRAMM and GRAL simulations are run for a fixed catalog of 1008 weather situations varying in terms of background wind speed, direction and stability. Hourly time-series of meteorology and air pollutants are constructed from these steady-state solutions by selecting, for each

  9. Evaluating the capability of regional-scale air quality models to capture the vertical distribution of pollutants

    Directory of Open Access Journals (Sweden)

    E. Solazzo

    2013-06-01

    Full Text Available This study is conducted in the framework of the Air Quality Modelling Evaluation International Initiative (AQMEII and aims at the operational evaluation of an ensemble of 12 regional-scale chemical transport models used to predict air quality over the North American (NA and European (EU continents for 2006. The modelled concentrations of ozone and CO, along with the meteorological fields of wind speed (WS and direction (WD, temperature (T, and relative humidity (RH, are compared against high-quality in-flight measurements collected by instrumented commercial aircraft as part of the Measurements of OZone, water vapour, carbon monoxide and nitrogen oxides by Airbus In-service airCraft (MOZAIC programme. The evaluation is carried out for five model domains positioned around four major airports in NA (Portland, Philadelphia, Atlanta, and Dallas and one in Europe (Frankfurt, from the surface to 8.5 km. We compare mean vertical profiles of modelled and measured variables for all airports to compute error and variability statistics, perform analysis of altitudinal error correlation, and examine the seasonal error distribution for ozone, including an estimation of the bias introduced by the lateral boundary conditions (BCs. The results indicate that model performance is highly dependent on the variable, location, season, and height (e.g. surface, planetary boundary layer (PBL or free troposphere being analysed. While model performance for T is satisfactory at all sites (correlation coefficient in excess of 0.90 and fractional bias ≤ 0.01 K, WS is not replicated as well within the PBL (exhibiting a positive bias in the first 100 m and also underestimating observed variability, while above 1000 m, the model performance improves (correlation coefficient often above 0.9. The WD at NA airports is found to be biased in the PBL, primarily due to an overestimation of westerly winds. RH is modelled well within the PBL, but in the free troposphere large

  10. The Effects of Air Pollution on Ischemic Stroke Admission Rate.

    Science.gov (United States)

    Alimohammadi, Hossein; Fakhri, Sara; Derakhshanfar, Hojjat; Hosseini-Zijoud, Seyed-Mostafa; Safari, Saeed; Hatamabadi, Hamid Reza

    2016-01-01

    The present study aimed to determine the relationship between the level of air pollutants and the rate of ischemic stroke (IS) admissions to hospitals. In this retrospective cross-sectional study, stroke admissions (January-March 2012 and 2013) to an emergency department and air pollution and meteorological data were gathered. The relationship between air pollutant levels and hospital admission rates were evaluated using the generalize additive model. In all 379 patients with IS were referred to the hospital (52.5% male; mean age 68.2±13.3 years). Both transient (p<0.001) and long-term (p<0.001) rises in CO level increases the risk of IS. Increased weekly (p<0.001) and monthly (p<0.001) average O3 levels amplifies this risk, while a transient increase in NO2 (p<0.001) and SO2 (p<0.001) levels has the same effect. Long-term changes in PM10 (p<0.001) and PM2.5 (p<0.001) also increase the risk of IS. The findings showed that the level of air pollutants directly correlates with the number of stroke admissions to the emergency department. PMID:26866000

  11. Traffic-Related Air Pollution and Parkinson's Disease in Denmark

    DEFF Research Database (Denmark)

    Ritz, Beate; Lee, Pei-Chen; Hansen, Johnni;

    2016-01-01

    -related air pollution and Parkinson's disease. METHODS: In a case-control study of 1,696 Parkinson's disease (PD) patients identified from Danish hospital registries and diagnosed 1996-2009 and 1,800 population controls matched by gender and year of birth we assessed long-term traffic-related air pollutant...... matching factors and potential confounders. RESULTS: We found ambient air pollution from traffic sources to be associated with risk of PD, with a 9% higher risk (95% CI: 3, 16.0%) per interquartile range increase (2.97 μg/m(3)) in modeled NO2. For participants living for 20 years or more in the capital...... city odds ratios were larger (OR= 1.21; 95% CI: 1.11, 1.31) than in provincial towns (OR=1.10; 95% CI: 0.97, 1.26), while there was no association among rural residents. CONCLUSIONS: Our findings raise concerns about potential effects of air pollution from traffic and other sources on the risk of PD...

  12. Economic growth, international trade and air pollution. A decomposition analysis

    International Nuclear Information System (INIS)

    This study analyzes the impact of economic growth and international trade on the level of air pollution. This is done by the estimation of the Structural Equation Model with two factors describing the structure of economic activity and air pollution intensity. It is further assumed that there is causal link between these two factors and that they are influenced by per capita income, international trade intensity and the Freedom House Index. The estimation results suggest that in the developing countries analyzed both international trade and per capita income lead to changes in the structure of economic activity and - as a consequence - to the increase in air pollution. In addition, the estimation results suggest that the impact of economic growth on air pollution intensity varies between the developing and developed countries. In the developing countries, this impact occurs through the change of the structure of economic activity, while in the developed countries, this impact is mainly direct and occurs through the sum of the scale effect and income effect. The positive sign of this impact suggests the dominance of the scale effect over the income effect. (author)

  13. Bangkok and its air pollution problem

    Energy Technology Data Exchange (ETDEWEB)

    Panich, S.

    1995-12-31

    Bangkok is the city on a former river delta and is a very flat area. The topography is unremarkable but being only a few kilometers (about 20) from the sea in the Gulf of Bangkok, the City experiences the sea breeze every afternoon and evening. The natural phenomenon is caused by the uplifting of hot air from the sun-baked ground and heat generation in the city, to be replaced by the cooler air from the sea, which is to the south. During the nighttime the sea breeze ceases to operate as the ground temperature cools down. The late night and early morning is characterized by the calm or no wind. With 2.1 million vehicles, the city has a serious problem of carbon monoxide from the gasoline vehicles stuck in the traffic on start and stop cycles, while particulate matter is the result of diesel vehicles. Hydrocarbons mainly result from two-stroke motorcycles and tuk-tuk (three-wheeled) taxis. Air pollution in Bangkok and major cities of Thailand is the result of emissions from gasoline, diesel, and LPG fueled vehicles, which contribute to the observed levels of carbon monoxide, lead, particulate matter, sulfur dioxide, nitrogen dioxide, ozone and hydrocarbons. The industrial activities contribute smaller share due to tall stacks and more efficient combusting processes and pollution control.

  14. Modelling the influence of intermittent rain events on long-term fate and transport of organic air pollutants

    DEFF Research Database (Denmark)

    Jolliet, Olivier; Hauschild, Michael Zwicky

    2005-01-01

    , especially for persistent substances with low Henry constant. 2) For substances with a short reaction time (residence time as determined by atmospheric degradation alone), e.g. acephate, the assumption of continuous rain may lead to an underestimation of the atmospheric residence time and travel distance by...... an expression which can provide an accurate approximation to be used in steady state multimedia models? Assuming a periodically intermittent rain, the mass of an emitted substance which is present in the air compartment is calculated as a function of the deposition rate constants during dry and wet...

  15. Evaluating Hong Kong's air pollution legislation and policies

    OpenAIRE

    Wong, Ping-hei, Benny; 黃丙熙

    2014-01-01

    Air pollution is a major environmental problem that poses numerous health risks to those exposed to it. The adverse health effects are compounded in a place as dense as Hong Kong and further intensified due to its proximity to industrial and manufacturing plants across the border in Mainland China. Hong Kong has attempted to address the issue of air pollution through the enactment of legislation and policies such as the 1983 Air Pollution Control Ordinance and Air Quality Objectives, but so f...

  16. Air pollution prevention at the Hanford Site: Status and recommendations

    International Nuclear Information System (INIS)

    With the introduction of the Clean Air Act Amendments of 1990 and other air and pollution prevention regulations, there has been increased focus on both pollution prevention and air emissions at US DOE sites. The Pollution Prevention (P2) Group of WHC reviewed the status of air pollution prevention with the goal of making recommendations on how to address air emissions at Hanford through pollution prevention. Using the air emissions inventory from Hanford's Title V permit, the P2 Group was able to identify major and significant air sources. By reviewing the literature and benchmarking two other DOE Sites, two major activities were recommended to reduce air pollution and reduce costs at the Hanford Site. First, a pollution prevention opportunity assessment (P2OA) should be conducted on the significant painting sources in the Maintenance group and credit should be taken for reducing the burning of tumbleweeds, another significant source of air pollution. Since they are significant sources, reducing these emissions will reduce air emission fees, as well as have the potential to reduce material and labor costs, and increase worker safety. Second, a P2OA should be conducted on alternatives to the three coal-fired powerhouses (steam plants) on-site, including a significant costs analysis of alternatives. This analysis could be of significant value to other DOE sites. Overall, these two activities would reduce pollution, ease regulatory requirements and fees, save money, and help Hanford take a leadership role in air pollution prevention

  17. A model study of the pollution effects of the first 3 months of the Holuhraun volcanic fissure: comparison with observations and air pollution effects

    Science.gov (United States)

    Steensen, Birthe Marie; Schulz, Michael; Theys, Nicolas; Fagerli, Hilde

    2016-08-01

    The volcanic fissure at Holuhraun, Iceland started at the end of August 2014 and continued for 6 months to the end of February 2015, with an extensive lava flow onto the Holuhraun plain. This event was associated with large SO2 emissions, amounting up to approximately 4.5 times the daily anthropogenic SO2 emitted from the 28 European Union countries, Norway, Switzerland and Iceland. In this paper we present results from EMEP/MSC-W model simulations to which we added 750 kg s-1 SO2 emissions at the Holuhraun plain from September to November (SON), testing three different emission heights. The three simulated SO2 concentrations, weighted with the OMI (Ozone Monitoring Instrument) satellite averaging kernel, are found to be within 30 % of the satellite-observed SO2 column burden. Constraining the SO2 column burden with the satellite data while using the kernel along with the three simulated height distributions of SO2, we estimate that the median of the daily burdens may have been between 13 and 40 kt in the North Atlantic area under investigation. We suggest this to be the uncertainty in the satellite-derived burdens of SO2, mainly due to the unknown vertical distribution of SO2. Surface observations in Europe outside Iceland showed concentration increases up to > 500 µg m-3 SO2 from volcanic plumes passing. Three well identified episodes, where the plume crossed several countries, are compared in detail to surface measurements. For all events, the general timing of the observed concentration peaks compared quite well to the model results. The overall changes to the European SO2 budget due to the volcanic fissure are estimated. Three-monthly wet deposition (SON) of SOx in the 28 European Union countries, Norway and Switzerland is found to be more than 30 % higher in the model simulation with Holuhraun emissions compared to a model simulation with no Holuhraun emissions. The largest increases, apart from extreme values on Iceland, are found on the coast of northern

  18. Tolerance Levels of Roadside Trees to Air Pollutants Based on Relative Growth Rate and Air Pollution Tolerance Index

    OpenAIRE

    SULISTIJORINI; ZAINAL ALIM MAS’UD; NIZAR NASRULLAH; AHMAD BEY; SOEKISMAN TJITROSEMITO

    2008-01-01

    Motor vehicles release carbon monoxide, nitrogen dioxide, sulphur dioxide, and particulate matters to the air as pollutants. Vegetation can absorb these pollutants through gas exchange processes. The objective of this study was to examine the combination of the relative growth rate (RGR) and physiological responses in determining tolerance levels of plant species to air pollutants. Physiological responses were calculated as air pollution tolerance index (APTI). Eight roadside tree species wer...

  19. Application of cellular neural network (CNN) to the prediction of missing air pollutant data

    Science.gov (United States)

    Şahin, Ülkü Alver; Bayat, Cuma; Uçan, Osman N.

    2011-07-01

    For air-quality assessments in most major urban centers, air pollutants are monitored using continuous samplers. Sometimes data are not collected due to equipment failure or during equipment calibration. In this paper, we predict daily air pollutant concentrations (PM 10 and SO 2) from the Yenibosna and Umraniye air pollution measurement stations in Istanbul for times at which pollution data was not recorded. We predicted these pollutant concentrations using the CNN model with meteorological parameters, estimating missing daily pollutant concentrations for two data sets from 2002 to 2003. These data sets had 50 and 20% of data missing. The results of the CNN model predictions are compared with the results of a multivariate linear regression (LR). Results show that the correlation between predicted and observed data was higher for all pollutants using the CNN model (0.54-0.87). The CNN model predicted SO 2 concentrations better than PM 10 concentrations. Another interesting result is that winter concentrations of all pollutants were predicted better than summer concentrations. Experiments showed that accurate predictions of missing air pollutant concentrations are possible using the new approach contained in the CNN model. We therefore proposed a new approach to model air-pollution monitoring problem using CNN.

  20. Co-control of Air Pollution and GHGs in China's Iron and Steel Sector: an Integrated Modeling Assessment of Policy and Technology Options

    OpenAIRE

    Liu Zhaoyang; Mao Xianqiang; Liu Shengqiang; Kevin Jianjun TU

    2011-01-01

    China is currently facing a major air pollution challenge and must make significant reductions in its emissions of conventional air pollutants (AP) and greenhouse gases (GHGs). This is especially the case for the iron and steel sector, which is one of country's biggest polluters. To help find the best way to address this problem, this study has looked at policies that will help reduce both GHGs and APs at the same time - so called, co-control policies. The study finds that a carbon tax regime...

  1. Marble weathering and air pollution in Philadelphia

    Science.gov (United States)

    Feddema, J. J.; Meierding, T. C.

    Maps of damage to marble tombstones in the urban region of Philadelphia demonstrate a close spatial correspondence with airborne pollutant concentrations. Mean recession rates on upper tombstone faces are an order of magnitude greater (3.5 mm (100a) -1) in the center of the city than they are 20 km away in the suburbs and countryside (cause sufficient gypsum accumulation within the stones to exfoliate the durable surface layer. Old photos of tombstones in central Philadelphia cemeteries show that exfoliation greatly accelerated between 1930 and 1960, concurrent with increases in SO 2 levels. Recent improvements in air quality are likely to have slowed stone deterioration.

  2. Mortality and air pollution: lessons from statistics

    International Nuclear Information System (INIS)

    Cross sectional studies which attempt to link persistent geographic differences in mortality rates with air pollution are reviewed. Some early studies are mentioned and detailed results are given for seven major contemporary studies, two of which are still in the publication process. Differences among the studies are discussed with regard to statistical techniques, trends in the results over time (1959 to 1974), and interpretation and use of the results. The analysis concludes that there are far too many problems with this technique to allow causality to be firmly established, and thus the results should not be used for cost benefit or policy analysis

  3. Air pollution: a smoking gun for cancer

    OpenAIRE

    Wei Zhang; Chao-Nan Qian; Yi-Xin Zeng

    2014-01-01

    Once considered a taboo topic or stigma, cancer is the number one public health enemy in the world. Once a product of an almost untouchable industry, tobacco is indisputably recognized as a major cause of cancer and a target for anticancer efforts. With the emergence of new economic powers in the world, especially in highly populated countries such as China, air pollution has rapidly emerged as a smoking gun for cancer and has become a hot topic for public health debate because of the complex...

  4. Using Satellite Remote Sensing and Modelling for Insights into N02 Air Pollution and NO2 Emissions

    Science.gov (United States)

    Lamsal, L. N.; Martin, R. V.; Krotkov, N. A.; Bucsela, E. J.; Celarier, E. A.; vanDonkelaar, A.; Parrish, D.

    2012-01-01

    Nitrogen oxides (NO(x)) are key actors in air quality and climate change. Satellite remote sensing of tropospheric NO2 has developed rapidly with enhanced spatial and temporal resolution since initial observations in 1995. We have developed an improved algorithm and retrieved tropospheric NO2 columns from Ozone Monitoring Instrument. Column observations of tropospheric NO2 from the nadir-viewing satellite sensors contain large contributions from the boundary layer due to strong enhancement of NO2 in the boundary layer. We infer ground-level NO2 concentrations from the OMI satellite instrument which demonstrate significant agreement with in-situ surface measurements. We examine how NO2 columns measured by satellite, ground-level NO2 derived from satellite, and NO(x) emissions obtained from bottom-up inventories relate to world's urban population. We perform inverse modeling analysis of NO2 measurements from OMI to estimate "top-down" surface NO(x) emissions, which are used to evaluate and improve "bottom-up" emission inventories. We use NO2 column observations from OMI and the relationship between NO2 columns and NO(x) emissions from a GEOS-Chem model simulation to estimate the annual change in bottom-up NO(x) emissions. The emission updates offer an improved estimate of NO(x) that are critical to our understanding of air quality, acid deposition, and climate change.

  5. Detailed determination of air quality and noise pollution. Improving the local climate in Dutch cities

    International Nuclear Information System (INIS)

    Two demonstration projects are discussed in which attention is paid to air quality and noise pollution in Dutch urban areas. One project concerns the relocation of a bus station in a city centre, focusing on the bottlenecks and the impacts of obstacles (screens, buildings) in the combined modelling of air and noise pollution. Another project concerns the exposure of noise and air pollution to occupants of a trailer camp near a highway. For both projects detailed computer calculations (CAR II, WinMiskam, Lasat) were carried out for the impact on air quality and noise pollution

  6. EPA issues offshore air pollution regulations

    International Nuclear Information System (INIS)

    This paper reports that the Environmental Protection Agency has issued regulations equalizing offshore air pollution rules with onshore standards except in the Gulf of Mexico. The rules hold platforms and drilling rigs within 25 miles of states' seaward boundaries to the same state, local, and federal requirements as if they were located in the corresponding onshore areas. If EPA finds state regulations are adequate, it will delegate to the coastal state the implementation and enforcement authority for the OCS rules. Air emissions sources more than 25 miles offshore will be subject only to federal requirements. EPA said within 2 years the rules will result in significant benefits to certain onshore areas currently violating smog standards

  7. Degradation of air polluted by organic compounds

    International Nuclear Information System (INIS)

    According to the Mexican standard NOM-010-STPS-1994 it has been established concentrations of maximum permissible levels in workable air for styrene in the range 420-1710 mg/m3 and for xylene between 218-870 mg/m3. In this work it is studied a biological treatment (bio filtration) for air polluted by xylene and styrene where the microorganisms are adhered at synthetic fiber, these degrade to the organic compounds that across in gaseous state and they are mineralized toward CO2 and H2O. The characteristics of temperature, p H, concentration of organic compound and mineral parameters, as well as, the biomass quantity have been optimized for that bio filters efficiency were greater than those reported in other works. (Author)

  8. Elemental bioaccumulators in air pollution studies

    International Nuclear Information System (INIS)

    K0-Based instrumental neutron activation analysis (k0 INAA) was used to determine the concentrations of Cr, Fe, Co, Zn, Se, Sb and Hg in the vascular plants Cistus salvifolius and Inula viscosa and in the lichen Parmelia sulcata. The samples were collected in the neighbourhood of industrial complexes. The elemental accumulation in the vascular plants and the lichen are compared to optimize the choice of the bioaccumulator. It is concluded that P.sulcata seems to be the best accumulator of the three species for the element studied; Cistus salvifolius is sensitive to the contents of Zn, Fe, Cr and Sb in the air; Inula viscosa seems to accumulate Fe, Sb, Co, Cr and Zn. Nevertheless, it is concluded that lichen is a good air pollution indicator, while the vascular plants are not due to the large seasonal variations found in the elemental concentrations. (author) 11 refs.; 7 figs.; 2 tabs

  9. Evaluating impacts of air pollution in China on public health: implications for future air pollution and energy policies

    Energy Technology Data Exchange (ETDEWEB)

    Xiaoping Wang; Mauzerall, D.L. [Princeton University, Princeton, NJ (United States). Science, Technology and Environmental Policy Program

    2006-03-15

    Our objective is to establish the link between energy consumption and technologies, air pollution concentrations, and resulting impacts on public health in eastern China. We use Zaozhuang, a city in eastern China heavily dependent on coal, as a case study to quantify the impacts that air pollution in eastern China had on public health in 2000 and the benefits in improved air quality and health that could be obtained by 2020, relative to business-as-usual (BAU), through the implementation of best available emission control technology (BACT) and advanced coal gasification technologies (ACGT). We use an integrated assessment approach, utilizing state-of-the-science air quality and meteorological models, engineering, epidemiology, and economics, to achieve this objective. We find that total health damages due to year 2000 anthropogenic emissions from Zaozhuang, using the ''willingness-to-pay'' metric, was equivalent to 10% of Zaozhuang's GDP. If all health damages resulting from coal use were internalized in the market price of coal, the year 2000 price would have more than tripled. With no new air pollution controls implemented between 2000 and 2020 but with projected increases in energy use, we estimate health damages from air pollution exposure to be equivalent to 16% of Zaozhuang's projected 2020 GDP. BACT and ACGT (with only 24% penetration in Zaozhuang and providing 2% of energy needs in three surrounding municipalities) could reduce the potential health damage of air pollution in 2020 to 13% and 8% of projected GDP, respectively. Benefits to public health, of substantial monetary value, can be achieved through the use of BACT; health benefits from the use of ACGT could be even larger. Despite significant uncertainty associated with each element of the integrated assessment approach, we demonstrate that substantial benefits to public health could be achieved in this region of eastern China through the use of additional pollution

  10. Does urban vegetation mitigate air pollution in northern conditions?

    International Nuclear Information System (INIS)

    It is generally accepted that urban vegetation improves air quality and thereby enhances the well-being of citizens. However, empirical evidence on the potential of urban trees to mitigate air pollution is meager, particularly in northern climates with a short growing season. We studied the ability of urban park/forest vegetation to remove air pollutants (NO2, anthropogenic VOCs and particle deposition) using passive samplers in two Finnish cities. Concentrations of each pollutant in August (summer; leaf-period) and March (winter, leaf-free period) were slightly but often insignificantly lower under tree canopies than in adjacent open areas, suggesting that the role of foliage in removing air pollutants is insignificant. Furthermore, vegetation-related environmental variables (canopy closure, number and size of trees, density of understorey vegetation) did not explain the variation in pollution concentrations. Our results suggest that the ability of urban vegetation to remove air pollutants is minor in northern climates. -- Highlights: ► The ability of northern urban vegetation to remove air pollutants is minor. ► Vegetation-related environmental variables had no effect on air pollution levels. ► The ability of vegetation to clean air did not differ between summer and winter. ► Dry deposition passive samplers proved applicable in urban air pollution study. -- The ability of urban vegetation to remove air pollutants seems to be minor in northern climates

  11. China's international trade and air pollution: 2000 - 2009

    Science.gov (United States)

    Ni, Ruijing; Lin, Jintai; Pan, Da; Wang, Jingxu; Yan, Yingying; Zhang, Qiang

    2016-04-01

    As the world's top trading country, China is now the most polluted country. However, a large portion of pollution produced in China is associated with its production of goods for foreign consumption via international trade. Along with China's rapid economic growth in recent years, its economic-trade structure and volume has been changing all the time, resulting in large changes in total emissions and the shares of trade-related emissions. Here, we assess the influence of China's changing total and export-related emissions between 2000 and 2009 on its atmospheric pollution loadings and transport, by exploiting simulations of a global chemical transport model GEOS-Chem. We find that both air pollution related to Chinese exports (PRE) which including nitrogen oxides (NOx), sulfur dioxide (SO2), carbon monoxide (CO), black carbon (BC), and primary organic aerosol (POA), and its share in total Chinese pollution have experienced continuous rapid growth until 2007, exposing more and more people to severely polluted air. After 2007, PRE decreases due to strengthened emission controls accompanied by declined exports as a result of the global financial crisis. Although production for exports contribute less than 35% SO2 over China in any year, the increasing trend of trade-related SO2 contributes 51% of integral trend. The changing PRE of China also affects its downwind regions such as the western United States. The contribution of export-related Chinese pollution to surface sulfate concentrations over the western United States has increased from 3% in 2000 to 12% in 2007. Overall, we find that the interannual variation of trade and associated production is a critical factor driving the trend of pollution over China and its downwind regions.

  12. Review of air pollution and health impacts in Malaysia

    International Nuclear Information System (INIS)

    In the early days of abundant resources and minimal development pressures, little attention was paid to growing environmental concerns in Malaysia. The haze episodes in Southeast Asia in 1983, 1984, 1991, 1994, and 1997 imposed threats to the environmental management of Malaysia and increased awareness of the environment. As a consequence, the government established Malaysian Air Quality Guidelines, the Air Pollution Index, and the Haze Action Plan to improve air quality. Air quality monitoring is part of the initial strategy in the pollution prevention program in Malaysia. Review of air pollution in Malaysia is based on the reports of the air quality monitoring in several large cities in Malaysia, which cover air pollutants such as Carbon monoxide (CO), Sulphur Dioxide (SO2), Nitrogen Dioxide (NO2), Ozone (O3), and Suspended Particulate Matter (SPM). The results of the monitoring indicate that Suspended Particulate Matter (SPM) and Nitrogen Dioxide (NO2) are the predominant pollutants. Other pollutants such as CO, Ox, SO2, and Pb are also observed in several big cities in Malaysia. The air pollution comes mainly from land transportation, industrial emissions, and open burning sources. Among them, land transportation contributes the most to air pollution. This paper reviews the results of the ambient air quality monitoring and studies related to air pollution and health impacts

  13. Air pollution - Trends in Austria 1980 - 2002

    International Nuclear Information System (INIS)

    The Austrian federal environmental office (Umweltbundesamt) carries out an annual inventory of the air pollution to fulfill obligatory duties derived from national and international agreements (UNFCCC; United Nations Framework Convention on Climate Change, Kyoto-protocol, EU monitoring mechanism (Decision 93/389/EWG). This inventory includes the anthropogenic emissions for the period 1980 - 2002 and the steps followed to reduce them. It is divided into 11 parts as follows: 1. summary, 2. inventory basis, 3. greenhouse gases (emissions trends 1990-2002, actual development 2001-2, carbon dioxide, methane, nitrogen dioxide, F- gases (SF6, partial fluorinated hydrocarbons, total fluorinated hydrocarbons), 4. ozone promoters (nitrogen oxides, hydrocarbons, carbon monoxide, methane), 5. acidification and eutrophication (sulfur dioxide, ammonia, nitrogen oxides), 6. dust, 7. heavy metals (cadmium, lead, mercury), 8. persistent organic pollutants (polycyclic aromatic hydrocarbons, dioxine, hexachlorobenzene), 9. pollution trends by sectors (power generation, traffic, industry, agriculture), 10. international comparison of Austrian emissions (greenhouse gases, sulphur dioxide, nitrogen oxides, hydrocarbons without methane, ammonia, carbon monoxide), 11. bibliography and an appendix. Data were collected following the guidelines by the International panel on climate exchange and the EMEP/CORINAIR emission inventory guidebook. Those chapters which are in the INIS subject scope were treated individually. 36 ref., 30 tabls., 74 figs. (nevyjel)

  14. Influence of air pollution on cultivated plants

    Energy Technology Data Exchange (ETDEWEB)

    Spierings, F.H.F.G.; Van Raay, A.; Wolting, H.G.

    1967-01-01

    An investigation repeated for the third time on susceptibility for SO/sub 2/ of 7 varieties of lettuce resulted in a reliable difference between the most and least susceptible variety; the others produced differences between individual plants within the varieties. Ethylene fumigations of tomato plants during five to six hours at concentrations of 0.5 to 3 ppm caused no visible reaction. A fumigation with 3 ppm for 23 hours resulted in a strong epinastic reaction at the base of the leaf petioles and curling of the young growing leaves. An apparatus was constructed to fumigate herbaceous plants, shrubs and trees in their natural environment and under normal climatic conditions. With this apparatus daffodil, tulip and Ixia were fumigated for 3 hours with HF in a concentration of 0.030 ppm. The most susceptible varieties showed leaf tip damage to an extent of 2 to 4 cm. Some time after an aluminium factory came into operation, injury to trees and shrubs occurred in the neighborhood; farm crops were not affected. For some factories the opportunity was given to carry out measurements on the amount of air pollution in the neighborhood of these factories before production starts, to estimate how much extra air pollution may be caused by the new factory.

  15. Kerbside DOAS measurements of air pollutants

    Science.gov (United States)

    Schäfer, Klaus; Ling, Hong; Legelli, Stefan; Münkel, Christoph; Emeis, Stefan

    2014-10-01

    Emission sources as well as wind speed and direction and MLH are important factors which influence high air pollutant concentrations. This is generally known (Schäfer et al., 2006) but the detailed understanding of processes directing certain air pollutant concentrations like HCHO is not complete. To study these processes a long-term campaign in Augsburg, Germany, was performed since March 2012. The concentrations of NO, NO2, O3 and HCHO, which were measured with a DOAS from OPSIS across a main traffic road and a nearby park area, are analysed. A ceilometer CL31 from Vaisala which is an eye-safe commercial mini-lidar system is applied to detect layering of the lower atmosphere continuously. Special software for this ceilometer with MATLAB provides routine retrievals of lower atmosphere layering from vertical profiles of laser backscatter data. Meteorological data were measured by a ground-based weather station at the measurement site as well as taken from monitoring data archives of the German National Meteorological Service (DWD), which are measured by radiosondes (Oberschleißheim). Correlation analyses are applied to show the coupling of temporal variations of NO, NO2, O3 and HCHO concentrations with temperature, mixing layer height and wind speed. HCHO which is emitted from both anthropogenic and biogenic sources is studied especially.

  16. Monitoring of pyrocatechol indoor air pollution

    Science.gov (United States)

    Eškinja, I.; Grabarić, Z.; Grabarić, B. S.

    Spectrophotometric and electrochemical methods for monitoring of pyrocatechol (PC) indoor air pollution have been investigated. Spectrophotometric determination was performed using Fe(III) and iodine methods. The adherence to Beer's law was found in the concentration range between 0 and 12 μg ml - for iodine method at pH = 5.7 measuring absorbance at 725 nm, and in the range 0-30 μg ml - for Fe(III) method at pH = 9.5 measuring absorbance at 510 nm. The former method showed greater sensitivity than the latter one. Differential pulse voltammetry (DPV) and chronoamperometric (CA) detection in flow injection analysis (FIA) using carbon paste electrode in phosphate buffer solution of pH = 6.5 was also used for pyrocatechol determination. The electrochemical methods allowed pyrocatechol quantitation in submicromolar concentration level with an overall reproducibility of ± 1%. The efficiency of pyrocatechol sampling collection was investigated at two temperatures (27 and 40°C) in water, 0.1 M NaOH and 0.1 M HCl solutions. Solution of 0.1 M HCl gave the best collection efficiency (95.5-98.5%). A chamber testing simulating the indoor pollution has been performed. In order to check the reliability of the proposed methods for monitoring of the indoor pyrocatechol pollution, the air in working premises with pyrocatechol released from meteorological charts during mapping and paper drying was analyzed using proposed methods. The concentration of pyrocatechol in the air during mapping was found to be 1.8 mg m -3 which is below the hygienic standard of permissible exposure of 20 mg m -3 (≈ 5 ppm). The release of pyrocatechol from the paper impregnated with pyrocatechol standing at room temperature during one year was also measured. The proposed methods can be used for indoor pyrocatechol pollution monitoring in working premises of photographic, rubber, oil and dye industries, fur and furniture dyeing and cosmetic or pharmaceutical premises where pyrocatechol and related

  17. Combined effects of road traffic noise and ambient air pollution in relation to risk for stroke?

    DEFF Research Database (Denmark)

    Sørensen, Mette; Lühdorf, Pernille; Ketzel, Matthias;

    2014-01-01

    Exposure to road traffic noise and air pollution have both been associated with risk for stroke. The few studies including both exposures show inconsistent results. We aimed to investigate potential mutual confounding and combined effects between road traffic noise and air pollution in association...... to 2009 were identified in national registers and road traffic noise and air pollution were modeled for all addresses. Analyses were done using Cox regression. A higher mean annual exposure at time of diagnosis of 10µg/m(3) nitrogen dioxide (NO2) and 10dB road traffic noise at the residential address...... was found for combination of high noise and high NO2 (IRR=1.28; 95% CI=1.09-1.52). Fatal stroke was positively associated with air pollution and not with traffic noise. In conclusion, in mutually adjusted models road traffic noise and not air pollution was associated ischemic stroke, while only air...

  18. Mercury and Air Pollution: A Bibliography With Abstracts.

    Science.gov (United States)

    Environmental Protection Agency, Research Triangle Park, NC. Office of Air Programs.

    The Air Pollution Technical Information Center (APTIC) of the Office of Air Programs has selected and compiled this bibliography of abstracts on mercury and air pollution. The abstracted documents are considered representative of available literature, although not all-inclusive. They are grouped into eleven categories: (1) Emission Sources, (2)…

  19. Recommended concentration limits of indoor air pollution indicators for requirement of acceptable indoor air quality

    OpenAIRE

    Wang J., Zhang X.

    2010-01-01

    Object and goals of indoor air pollution control with ventilation may influence improvement of indoor air quality, building energy consumption and even carbon emissions. Indicators of indoor air pollution caused by occupants-related sources and building-related sources were chosen based on sources emitting characteristics, pollutants composition, indicator choosing principles and indoor air pollution situation in China. Then the recommended concentration limits of indicators were given for un...

  20. Exposures to Air Pollutants during Pregnancy and Preterm Delivery

    OpenAIRE

    Leem, Jong-Han; Kaplan, Brian M.; Shim, Youn K.; Pohl, Hana R.; Gotway, Carol A.; Bullard, Stevan M.; Rogers, J. Felix; Smith, Melissa M.; Tylenda, Carolyn A.

    2006-01-01

    The association between preterm delivery (PTD) and exposure to air pollutants has recently become a major concern. We investigated this relationship in Incheon, Republic of Korea, using spatial and temporal modeling to better infer individual exposures. The birth cohort consisted of 52,113 singleton births in 2001–2002, and data included residential address, gestational age, sex, birth date and order, and parental age and education. We used a geographic information system and kriging methods ...