Air quality modeling for Warsaw agglomeration
The paper investigates the air quality in the urban area of Warsaw, Poland. Calculations are carried out using the emissions and meteorological data from the year 2012. The modeling tool is the regional CALMET/CALPUFF system, which is used to link the emission sources with the distributions of the a...
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Format: | Article |
Language: | English |
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Polish Academy of Sciences
2017-03-01
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Series: | Archives of Environmental Protection |
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Online Access: | http://www.degruyter.com/view/j/aep.2017.43.issue-1/aep-2017-0005/aep-2017-0005.xml?format=INT |
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author | Holnicki Piotr Kałuszko Andrzej Nahorski Zbigniew Stankiewicz Krystyna Trapp Wojciech |
author_facet | Holnicki Piotr Kałuszko Andrzej Nahorski Zbigniew Stankiewicz Krystyna Trapp Wojciech |
author_sort | Holnicki Piotr |
collection | DOAJ |
description | The paper investigates the air quality in the urban area of Warsaw, Poland. Calculations are carried out using the emissions and meteorological data from the year 2012. The modeling tool is the regional CALMET/CALPUFF system, which is used to link the emission sources with the distributions of the annual mean concentrations. Several types of polluting species that characterize the urban atmospheric environment, like PM10, PM2.5, NOx, SO2, Pb, B(a)P, are included in the analysis. The goal of the analysis is to identify the most polluted districts and polluting compounds there, to check where the concentration limits of particular pollutants are exceeded. Then, emission sources (or emission categories) which are mainly responsible for violation of air quality standards and increase the adverse health effects, are identified. The modeling results show how the major emission sources – the energy sector, industry, traffic and the municipal sector – relate to the concentrations calculated in receptor points, including the contribution of the transboundary inflow. The results allow to identify districts where the concentration limits are exceeded and action plans are needed. A quantitative source apportionment shows the emission sources which are mainly responsible for the violation of air quality standards. It is shown that the road transport and the municipal sector are the emission classes which substantially affect air quality in Warsaw. Also transboundary inflow contributes highly to concentrations of some pollutants. The results presented can be of use in analyzing emission reduction policies for the city, as a part of an integrated modeling system. |
first_indexed | 2024-03-09T07:39:22Z |
format | Article |
id | doaj.art-70216a4fb06045949fbe78b1cbad007d |
institution | Directory Open Access Journal |
issn | 2083-4810 |
language | English |
last_indexed | 2024-03-09T07:39:22Z |
publishDate | 2017-03-01 |
publisher | Polish Academy of Sciences |
record_format | Article |
series | Archives of Environmental Protection |
spelling | doaj.art-70216a4fb06045949fbe78b1cbad007d2023-12-03T05:00:19ZengPolish Academy of SciencesArchives of Environmental Protection2083-48102017-03-01431486410.1515/aep-2017-0005aep-2017-0005Air quality modeling for Warsaw agglomerationHolnicki Piotr0Kałuszko Andrzej1Nahorski Zbigniew2Stankiewicz Krystyna3Trapp Wojciech4Systems Research Institute, Polish Academy of Sciences, PolandSystems Research Institute, Polish Academy of Sciences, PolandSystems Research Institute, Polish Academy of Sciences, PolandWarsaw School of Information Technology, PolandEKOMETRIA, Office of the Studies & Ecological Measurements, PolandThe paper investigates the air quality in the urban area of Warsaw, Poland. Calculations are carried out using the emissions and meteorological data from the year 2012. The modeling tool is the regional CALMET/CALPUFF system, which is used to link the emission sources with the distributions of the annual mean concentrations. Several types of polluting species that characterize the urban atmospheric environment, like PM10, PM2.5, NOx, SO2, Pb, B(a)P, are included in the analysis. The goal of the analysis is to identify the most polluted districts and polluting compounds there, to check where the concentration limits of particular pollutants are exceeded. Then, emission sources (or emission categories) which are mainly responsible for violation of air quality standards and increase the adverse health effects, are identified. The modeling results show how the major emission sources – the energy sector, industry, traffic and the municipal sector – relate to the concentrations calculated in receptor points, including the contribution of the transboundary inflow. The results allow to identify districts where the concentration limits are exceeded and action plans are needed. A quantitative source apportionment shows the emission sources which are mainly responsible for the violation of air quality standards. It is shown that the road transport and the municipal sector are the emission classes which substantially affect air quality in Warsaw. Also transboundary inflow contributes highly to concentrations of some pollutants. The results presented can be of use in analyzing emission reduction policies for the city, as a part of an integrated modeling system.http://www.degruyter.com/view/j/aep.2017.43.issue-1/aep-2017-0005/aep-2017-0005.xml?format=INTurban air pollutionemission inventoryair quality standardssource apportionment |
spellingShingle | Holnicki Piotr Kałuszko Andrzej Nahorski Zbigniew Stankiewicz Krystyna Trapp Wojciech Air quality modeling for Warsaw agglomeration Archives of Environmental Protection urban air pollution emission inventory air quality standards source apportionment |
title | Air quality modeling for Warsaw agglomeration |
title_full | Air quality modeling for Warsaw agglomeration |
title_fullStr | Air quality modeling for Warsaw agglomeration |
title_full_unstemmed | Air quality modeling for Warsaw agglomeration |
title_short | Air quality modeling for Warsaw agglomeration |
title_sort | air quality modeling for warsaw agglomeration |
topic | urban air pollution emission inventory air quality standards source apportionment |
url | http://www.degruyter.com/view/j/aep.2017.43.issue-1/aep-2017-0005/aep-2017-0005.xml?format=INT |
work_keys_str_mv | AT holnickipiotr airqualitymodelingforwarsawagglomeration AT kałuszkoandrzej airqualitymodelingforwarsawagglomeration AT nahorskizbigniew airqualitymodelingforwarsawagglomeration AT stankiewiczkrystyna airqualitymodelingforwarsawagglomeration AT trappwojciech airqualitymodelingforwarsawagglomeration |