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Air pollutant concentrations

About: Air pollutant concentrations is a research topic. Over the lifetime, 1652 publications have been published within this topic receiving 36138 citations.


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Journal ArticleDOI
TL;DR: The Software for Model Attainment Test-Community Edition (SMAT-CE), developed for demonstrating attainment of air quality standards of O3 and PM2.5, improves computational efficiency and provides a number of advanced visualization and analytical functionalities on an integrated GIS platform.
Abstract: Due to the increasingly stringent standards, it is important to assess whether the proposed emission reduction will result in ambient concentrations that meet the standards. The Software for Model Attainment Test—Community Edition (SMAT-CE) is developed for demonstrating attainment of air quality standards of O 3 and PM 2.5 . SMAT-CE improves computational efficiency and provides a number of advanced visualization and analytical functionalities on an integrated GIS platform. SMAT-CE incorporates historical measurements of air quality parameters and simulated air pollutant concentrations under a number of emission inventory scenarios to project the level of compliance to air quality standards in a targeted future year. An application case study of the software based on the U.S. National Ambient Air Quality Standards (NAAQS) shows that SMAT-CE is capable of demonstrating the air quality attainment of annual PM 2.5 and 8-hour O 3 for a proposed emission control policy.

27 citations

Journal ArticleDOI
TL;DR: In this article, the authors focused on variations of air pollutant concentrations viz., O3, nitrogen oxides (NOx), carbon monoxide (CO), sulfur dioxide (SO2) and black carbon (BC) at a tropical urban site located in the Deccan plateau region with semi-arid climate.
Abstract: Increasing concentration of tropospheric ozone (O3) is a serious air pollution problem faced commonly by the urban people. The present study emphasizes on variations of air pollutant concentrations viz., O3, nitrogen oxides (NOx), carbon monoxide (CO), sulfur dioxide (SO2) and black carbon (BC) at a tropical urban site located in the Deccan plateau region with semi-arid climate. The air monitoring site revealed typical diurnal/seasonal trends attributing to the complex chemistry of surface O3 formation from its precursors. Role of SO2 in the formation of free radical ( $$ {\text{HO}}_{2}^{ \cdot } $$ ) and its impact on O3 concentration is distinguished part of the study. The results showed the highest mean O3 in summer (57.5 ± 15.2 ppbv) followed by winter and monsoon. Observations of BC aerosols showed the highest mean value during winter (8.2 ± 2 μg m−3) and the lowest in monsoon (4.2 ± 1 μg m−3). Besides local influences, long-range transport of air masses were also studied by simulating back trajectories at different elevations during the study period. Furthermore, statistical analysis and modeling was performed with both linear (regression) and nonlinear (neural network) methods.

27 citations

Journal ArticleDOI
TL;DR: In this article, the performance of AERMOD is evaluated for prediction of oxide of nitrogen (NOx), sulphur dioxide (SO2) and particulate matter, having the diameter ≤ 10μm (PM10).
Abstract: Air quality models (AQMs) play an important role in prediction and forecasting of air pollutant concentrations which are essential components for urban air quality management. Applicability of advanced AQM like AERMOD is well established in developed world where sufficient input data are available. However, it is limited in developing countries due to lack of adequate and reliable data. The present study is focused to assess the urban air quality around a heritage site in Amritsar city in India using AERMOD. The performance of AERMOD is evaluated for prediction of oxide of nitrogen (NOx), sulphur dioxide (SO2) and particulate matter, having the diameter ≤10 μm (PM10). It is observed from the results that predicted pollutant concentrations are in satisfactory limits. The index of agreement (d) values estimated for NOx, SO2 and PM10 are 0.57, 0.51 and 0.50, respectively, indicating satisfactory performance of AERMOD. Similarly, other statistical descriptors also indicate its satisfactory performance in predicting the pollutant concentrations. Further, source apportionment of urban air pollutants has also been carried out using AERMOD. Besides, air quality management practices are also evaluated based on three what-if scenarios viz. (i) Introduction of battery-operated vehicles within the walled city, (ii) change in traffic movement and (iii) installation of air pollution control equipment in the free kitchen. It has been observed that after implementing the scenarios all together, PM10, NOx and SO2 concentrations reduce by 2.7, 9.8 and 7.0 %, respectively.

27 citations

Journal ArticleDOI
TL;DR: Investigation of ambient air quality at three communities within the Athabasca Oil Sands Region of Alberta, Canada found air quality in Fort Chipewyan was much better and quite separate in terms of absence of factors influencing criteria air pollutant concentrations at the other community stations.

27 citations

Journal ArticleDOI
TL;DR: An integrated GI assessment approach to simulate the individual effects of GI along with their combined impact on pollutant concentration reduction under eight GI scenarios is developed and coniferous trees (2039-Max-Con) were found to promote enhanced turbulence flow and offer more surface for deposition.

27 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202316
20229
2021100
202084
201972
201852