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

dc.contributor.authorFontes, Tânia
dc.contributor.authorLi, Peilin
dc.contributor.authorBarros, Nelson
dc.contributor.authorZhao, Pengjun
dc.date.accessioned2021-02-04T17:23:03Z
dc.date.available2021-02-04T17:23:03Z
dc.date.issued2018
dc.description.abstractAir 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.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1016/j.envpol.2018.04.061pt_PT
dc.identifier.issn0269-7491
dc.identifier.urihttp://hdl.handle.net/10284/9346
dc.language.isoengpt_PT
dc.publisherElsevierpt_PT
dc.subjectStatistical methodpt_PT
dc.subjectTraffic measurept_PT
dc.subjectPollutionpt_PT
dc.subjectAir qualitypt_PT
dc.subjectMeteorologypt_PT
dc.titleA proposed methodology for impact assessment of air quality trafficrelated measures: the case of PM2.5 in Beijingpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage828pt_PT
oaire.citation.startPage818pt_PT
oaire.citation.titleEnvironmental Pollutionpt_PT
oaire.citation.volume239pt_PT
person.familyNameFontes
person.familyNameAugusto Cruz de Azevedo Barros
person.givenNameTânia
person.givenNameNelson
person.identifier.ciencia-id2919-FCDB-B684
person.identifier.orcid0000-0001-5183-5321
person.identifier.orcid0000-0002-2628-9880
person.identifier.ridD-2414-2013
person.identifier.scopus-author-id37074672900
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication4ef465cf-6c8e-4002-b6a5-984085550b87
relation.isAuthorOfPublication3460e4e6-bb4b-4ed2-a2d2-b4a778db0e9e
relation.isAuthorOfPublication.latestForDiscovery4ef465cf-6c8e-4002-b6a5-984085550b87

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