Urban scale air quality modelling using detailed traffic emissions estimates

Detalhes bibliográficos
Autor(a) principal: Borrego,C
Data de Publicação: 2016
Outros Autores: Amorim,JH, Tchepel,O, Dias,D, Rafael,S, Sa,E, Pimentel,C, Tânia Daniela Fontes, Fernandes,P, Pereira,SR, Bandeira,JM, Coelho,MC
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://repositorio.inesctec.pt/handle/123456789/4547
http://dx.doi.org/10.1016/j.atmosenv.2016.02.017
Resumo: The atmospheric dispersion of NOx and PM10 was simulated with a second generation Gaussian model over a medium-size south-European city. Microscopic traffic models calibrated with GPS data were used to derive typical driving cycles for each road link, while instantaneous emissions were estimated applying a combined Vehicle Specific Power/Co-operative Programme for Monitoring and Evaluation of the Long-range Transmission of Air Pollutants in Europe (VSP/EMEP) methodology. Site-specific background concentrations were estimated using time series analysis and a low-pass filter applied to local observations. Air quality modelling results are compared against measurements at two locations for a 1 week period. 78% of the results are within a factor of two of the observations for 1-h average concentrations, increasing to 94% for daily averages. Correlation significantly improves when background is added, with an average of 0.89 for the 24 h record. The results highlight the potential of detailed traffic and instantaneous exhaust emissions estimates, together with filtered urban background, to provide accurate input data to Gaussian models applied at the urban scale.
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spelling Urban scale air quality modelling using detailed traffic emissions estimatesThe atmospheric dispersion of NOx and PM10 was simulated with a second generation Gaussian model over a medium-size south-European city. Microscopic traffic models calibrated with GPS data were used to derive typical driving cycles for each road link, while instantaneous emissions were estimated applying a combined Vehicle Specific Power/Co-operative Programme for Monitoring and Evaluation of the Long-range Transmission of Air Pollutants in Europe (VSP/EMEP) methodology. Site-specific background concentrations were estimated using time series analysis and a low-pass filter applied to local observations. Air quality modelling results are compared against measurements at two locations for a 1 week period. 78% of the results are within a factor of two of the observations for 1-h average concentrations, increasing to 94% for daily averages. Correlation significantly improves when background is added, with an average of 0.89 for the 24 h record. The results highlight the potential of detailed traffic and instantaneous exhaust emissions estimates, together with filtered urban background, to provide accurate input data to Gaussian models applied at the urban scale.2017-12-20T17:12:41Z2016-01-01T00:00:00Z2016info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://repositorio.inesctec.pt/handle/123456789/4547http://dx.doi.org/10.1016/j.atmosenv.2016.02.017engBorrego,CAmorim,JHTchepel,ODias,DRafael,SSa,EPimentel,CTânia Daniela FontesFernandes,PPereira,SRBandeira,JMCoelho,MCinfo: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:RCAAP2023-05-15T10:19:55Zoai:repositorio.inesctec.pt:123456789/4547Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:52:26.387430Repositório 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 Urban scale air quality modelling using detailed traffic emissions estimates
title Urban scale air quality modelling using detailed traffic emissions estimates
spellingShingle Urban scale air quality modelling using detailed traffic emissions estimates
Borrego,C
title_short Urban scale air quality modelling using detailed traffic emissions estimates
title_full Urban scale air quality modelling using detailed traffic emissions estimates
title_fullStr Urban scale air quality modelling using detailed traffic emissions estimates
title_full_unstemmed Urban scale air quality modelling using detailed traffic emissions estimates
title_sort Urban scale air quality modelling using detailed traffic emissions estimates
author Borrego,C
author_facet Borrego,C
Amorim,JH
Tchepel,O
Dias,D
Rafael,S
Sa,E
Pimentel,C
Tânia Daniela Fontes
Fernandes,P
Pereira,SR
Bandeira,JM
Coelho,MC
author_role author
author2 Amorim,JH
Tchepel,O
Dias,D
Rafael,S
Sa,E
Pimentel,C
Tânia Daniela Fontes
Fernandes,P
Pereira,SR
Bandeira,JM
Coelho,MC
author2_role author
author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Borrego,C
Amorim,JH
Tchepel,O
Dias,D
Rafael,S
Sa,E
Pimentel,C
Tânia Daniela Fontes
Fernandes,P
Pereira,SR
Bandeira,JM
Coelho,MC
description The atmospheric dispersion of NOx and PM10 was simulated with a second generation Gaussian model over a medium-size south-European city. Microscopic traffic models calibrated with GPS data were used to derive typical driving cycles for each road link, while instantaneous emissions were estimated applying a combined Vehicle Specific Power/Co-operative Programme for Monitoring and Evaluation of the Long-range Transmission of Air Pollutants in Europe (VSP/EMEP) methodology. Site-specific background concentrations were estimated using time series analysis and a low-pass filter applied to local observations. Air quality modelling results are compared against measurements at two locations for a 1 week period. 78% of the results are within a factor of two of the observations for 1-h average concentrations, increasing to 94% for daily averages. Correlation significantly improves when background is added, with an average of 0.89 for the 24 h record. The results highlight the potential of detailed traffic and instantaneous exhaust emissions estimates, together with filtered urban background, to provide accurate input data to Gaussian models applied at the urban scale.
publishDate 2016
dc.date.none.fl_str_mv 2016-01-01T00:00:00Z
2016
2017-12-20T17:12:41Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://repositorio.inesctec.pt/handle/123456789/4547
http://dx.doi.org/10.1016/j.atmosenv.2016.02.017
url http://repositorio.inesctec.pt/handle/123456789/4547
http://dx.doi.org/10.1016/j.atmosenv.2016.02.017
dc.language.iso.fl_str_mv eng
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instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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