A proposed methodology for impact assessment of air quality trafficrelated measures: the case of PM2.5 in Beijing

Detalhes bibliográficos
Autor(a) principal: Fontes, Tânia
Data de Publicação: 2018
Outros Autores: Li, Peilin, Barros, Nelson, Zhao, Pengjun
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10284/9346
Resumo: Air quality traffic-related measures have been implemented worldwide to control the pollution levels of urban areas. Although some of those measures are claiming environmental improvements, few studies have checked their real impact. In fact, quantitative estimates are often focused on reducing emissions, rather than on evaluating the actual measures’ effect on air quality. Even when air quality studies are conducted, results are frequently unclear. In order to properly assess the real impact on air quality of traffic-related measures, a statistical method is proposed. The method compares the pollutant concentration levels observed after the implementation of a measure with the concentration values of the previous year. Short- and long-term impact is assessed considering not only their influence on the average pollutant concentration, but also on its maximum level. To control the effect of the main confounding factors, only the days with similar environmental conditions are analysed. The changeability of the key meteorological variables that affect the transport and dispersion of the pollutant studied are used to identify and group the days categorized as similar. Resemblance of the pollutants' concentration of the previous day is also taken into account. The impact of the road traffic measures on the air pollutants’ concentration is then checked for those similar days using specific statistical functions. To evaluate the proposed method, the impact on PM2.5 concentrations of two air quality traffic-related measures (M1 and M2) implemented in the city of Beijing are taken into consideration: M1 was implemented in 2009, restricting the circulation of yellow-labelled vehicles, while M2 was implemented in 2014, restricting the circulation of heavy-duty vehicles. To compare the results of each measure, a time-period when these measures were not applied is used as case-control.
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spelling A proposed methodology for impact assessment of air quality trafficrelated measures: the case of PM2.5 in BeijingStatistical methodTraffic measurePollutionAir qualityMeteorologyAir quality traffic-related measures have been implemented worldwide to control the pollution levels of urban areas. Although some of those measures are claiming environmental improvements, few studies have checked their real impact. In fact, quantitative estimates are often focused on reducing emissions, rather than on evaluating the actual measures’ effect on air quality. Even when air quality studies are conducted, results are frequently unclear. In order to properly assess the real impact on air quality of traffic-related measures, a statistical method is proposed. The method compares the pollutant concentration levels observed after the implementation of a measure with the concentration values of the previous year. Short- and long-term impact is assessed considering not only their influence on the average pollutant concentration, but also on its maximum level. To control the effect of the main confounding factors, only the days with similar environmental conditions are analysed. The changeability of the key meteorological variables that affect the transport and dispersion of the pollutant studied are used to identify and group the days categorized as similar. Resemblance of the pollutants' concentration of the previous day is also taken into account. The impact of the road traffic measures on the air pollutants’ concentration is then checked for those similar days using specific statistical functions. To evaluate the proposed method, the impact on PM2.5 concentrations of two air quality traffic-related measures (M1 and M2) implemented in the city of Beijing are taken into consideration: M1 was implemented in 2009, restricting the circulation of yellow-labelled vehicles, while M2 was implemented in 2014, restricting the circulation of heavy-duty vehicles. To compare the results of each measure, a time-period when these measures were not applied is used as case-control.ElsevierRepositório Institucional da Universidade Fernando PessoaFontes, TâniaLi, PeilinBarros, NelsonZhao, Pengjun2021-02-04T17:23:03Z2018-01-01T00:00:00Z2018-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10284/9346eng0269-749110.1016/j.envpol.2018.04.061metadata only accessinfo: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:RCAAP2022-09-06T02:08:43Zoai:bdigital.ufp.pt:10284/9346Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T15:46:14.410892Repositório 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 A proposed methodology for impact assessment of air quality trafficrelated measures: the case of PM2.5 in Beijing
title A proposed methodology for impact assessment of air quality trafficrelated measures: the case of PM2.5 in Beijing
spellingShingle A proposed methodology for impact assessment of air quality trafficrelated measures: the case of PM2.5 in Beijing
Fontes, Tânia
Statistical method
Traffic measure
Pollution
Air quality
Meteorology
title_short A proposed methodology for impact assessment of air quality trafficrelated measures: the case of PM2.5 in Beijing
title_full A proposed methodology for impact assessment of air quality trafficrelated measures: the case of PM2.5 in Beijing
title_fullStr A proposed methodology for impact assessment of air quality trafficrelated measures: the case of PM2.5 in Beijing
title_full_unstemmed A proposed methodology for impact assessment of air quality trafficrelated measures: the case of PM2.5 in Beijing
title_sort A proposed methodology for impact assessment of air quality trafficrelated measures: the case of PM2.5 in Beijing
author Fontes, Tânia
author_facet Fontes, Tânia
Li, Peilin
Barros, Nelson
Zhao, Pengjun
author_role author
author2 Li, Peilin
Barros, Nelson
Zhao, Pengjun
author2_role author
author
author
dc.contributor.none.fl_str_mv Repositório Institucional da Universidade Fernando Pessoa
dc.contributor.author.fl_str_mv Fontes, Tânia
Li, Peilin
Barros, Nelson
Zhao, Pengjun
dc.subject.por.fl_str_mv Statistical method
Traffic measure
Pollution
Air quality
Meteorology
topic Statistical method
Traffic measure
Pollution
Air quality
Meteorology
description Air quality traffic-related measures have been implemented worldwide to control the pollution levels of urban areas. Although some of those measures are claiming environmental improvements, few studies have checked their real impact. In fact, quantitative estimates are often focused on reducing emissions, rather than on evaluating the actual measures’ effect on air quality. Even when air quality studies are conducted, results are frequently unclear. In order to properly assess the real impact on air quality of traffic-related measures, a statistical method is proposed. The method compares the pollutant concentration levels observed after the implementation of a measure with the concentration values of the previous year. Short- and long-term impact is assessed considering not only their influence on the average pollutant concentration, but also on its maximum level. To control the effect of the main confounding factors, only the days with similar environmental conditions are analysed. The changeability of the key meteorological variables that affect the transport and dispersion of the pollutant studied are used to identify and group the days categorized as similar. Resemblance of the pollutants' concentration of the previous day is also taken into account. The impact of the road traffic measures on the air pollutants’ concentration is then checked for those similar days using specific statistical functions. To evaluate the proposed method, the impact on PM2.5 concentrations of two air quality traffic-related measures (M1 and M2) implemented in the city of Beijing are taken into consideration: M1 was implemented in 2009, restricting the circulation of yellow-labelled vehicles, while M2 was implemented in 2014, restricting the circulation of heavy-duty vehicles. To compare the results of each measure, a time-period when these measures were not applied is used as case-control.
publishDate 2018
dc.date.none.fl_str_mv 2018-01-01T00:00:00Z
2018-01-01T00:00:00Z
2021-02-04T17:23:03Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10284/9346
url http://hdl.handle.net/10284/9346
dc.language.iso.fl_str_mv eng
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dc.relation.none.fl_str_mv 0269-7491
10.1016/j.envpol.2018.04.061
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dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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