Identification and analysis of source contributions to the air quality in the Amsterdam Region

Detalhes bibliográficos
Autor(a) principal: Coelho, Sílvia
Data de Publicação: 2017
Outros Autores: Ferreira, Joana, Rodrigues, Vera, Rafael, Sandra, Borrego, Carlos, Lopes, Myriam
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10773/26577
Resumo: Air pollution has become a growing concern in the past few years, with an increasing number of acute air pollution episodes in many cities worldwide. Ozone (O3) is a powerful oxidising agent and one of the air pollutants of most concern in Europe. Source apportionment modelling provides valuable information on the contributions of different source sectors and source regions to ozone concentrations. This information can be useful in designing air quality management strategies and in understanding the potential benefits of reducing emissions from a particular source category. In the present work, the Comprehensive Air Quality Model with Extensions (CAMx), with its Ozone Source Apportionment Technology (OSAT), was applied over Amsterdam Region, Netherlands, for the period of 8th to 12th July 2010, when high concentration of ozone were measured in several air quality monitoring stations in the region of Amsterdam. The contributions of different source categories and the NOx/VOC limitation to the ozone formation were quantified. Results indicated a great influence of transboundary transport on the O3 simulated concentrations. The OSAT tool revealed that this is the main factor affecting O3 levels in the area of study, followed by VOC emissions from solvent use and NOx emissions from industry and other sources not individually analysed. O3 formation is slightly more NOx limited than VOC limited.
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spelling Identification and analysis of source contributions to the air quality in the Amsterdam RegionOzoneNumerical modellingSource apportionmentAir pollution has become a growing concern in the past few years, with an increasing number of acute air pollution episodes in many cities worldwide. Ozone (O3) is a powerful oxidising agent and one of the air pollutants of most concern in Europe. Source apportionment modelling provides valuable information on the contributions of different source sectors and source regions to ozone concentrations. This information can be useful in designing air quality management strategies and in understanding the potential benefits of reducing emissions from a particular source category. In the present work, the Comprehensive Air Quality Model with Extensions (CAMx), with its Ozone Source Apportionment Technology (OSAT), was applied over Amsterdam Region, Netherlands, for the period of 8th to 12th July 2010, when high concentration of ozone were measured in several air quality monitoring stations in the region of Amsterdam. The contributions of different source categories and the NOx/VOC limitation to the ozone formation were quantified. Results indicated a great influence of transboundary transport on the O3 simulated concentrations. The OSAT tool revealed that this is the main factor affecting O3 levels in the area of study, followed by VOC emissions from solvent use and NOx emissions from industry and other sources not individually analysed. O3 formation is slightly more NOx limited than VOC limited.WIT press2019-09-18T09:58:41Z2017-01-01T00:00:00Z2017info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/26577eng1746-448X10.2495/AIR170031Coelho, SílviaFerreira, JoanaRodrigues, VeraRafael, SandraBorrego, CarlosLopes, Myriaminfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-22T11:51:28Zoai:ria.ua.pt:10773/26577Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:59:31.777648Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Identification and analysis of source contributions to the air quality in the Amsterdam Region
title Identification and analysis of source contributions to the air quality in the Amsterdam Region
spellingShingle Identification and analysis of source contributions to the air quality in the Amsterdam Region
Coelho, Sílvia
Ozone
Numerical modelling
Source apportionment
title_short Identification and analysis of source contributions to the air quality in the Amsterdam Region
title_full Identification and analysis of source contributions to the air quality in the Amsterdam Region
title_fullStr Identification and analysis of source contributions to the air quality in the Amsterdam Region
title_full_unstemmed Identification and analysis of source contributions to the air quality in the Amsterdam Region
title_sort Identification and analysis of source contributions to the air quality in the Amsterdam Region
author Coelho, Sílvia
author_facet Coelho, Sílvia
Ferreira, Joana
Rodrigues, Vera
Rafael, Sandra
Borrego, Carlos
Lopes, Myriam
author_role author
author2 Ferreira, Joana
Rodrigues, Vera
Rafael, Sandra
Borrego, Carlos
Lopes, Myriam
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Coelho, Sílvia
Ferreira, Joana
Rodrigues, Vera
Rafael, Sandra
Borrego, Carlos
Lopes, Myriam
dc.subject.por.fl_str_mv Ozone
Numerical modelling
Source apportionment
topic Ozone
Numerical modelling
Source apportionment
description Air pollution has become a growing concern in the past few years, with an increasing number of acute air pollution episodes in many cities worldwide. Ozone (O3) is a powerful oxidising agent and one of the air pollutants of most concern in Europe. Source apportionment modelling provides valuable information on the contributions of different source sectors and source regions to ozone concentrations. This information can be useful in designing air quality management strategies and in understanding the potential benefits of reducing emissions from a particular source category. In the present work, the Comprehensive Air Quality Model with Extensions (CAMx), with its Ozone Source Apportionment Technology (OSAT), was applied over Amsterdam Region, Netherlands, for the period of 8th to 12th July 2010, when high concentration of ozone were measured in several air quality monitoring stations in the region of Amsterdam. The contributions of different source categories and the NOx/VOC limitation to the ozone formation were quantified. Results indicated a great influence of transboundary transport on the O3 simulated concentrations. The OSAT tool revealed that this is the main factor affecting O3 levels in the area of study, followed by VOC emissions from solvent use and NOx emissions from industry and other sources not individually analysed. O3 formation is slightly more NOx limited than VOC limited.
publishDate 2017
dc.date.none.fl_str_mv 2017-01-01T00:00:00Z
2017
2019-09-18T09:58:41Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10773/26577
url http://hdl.handle.net/10773/26577
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1746-448X
10.2495/AIR170031
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dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv WIT press
publisher.none.fl_str_mv WIT press
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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