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A multiscale air quality and health risk modelling system: design and application over a local traffic management case study

dc.contributor.authorSilveira, Carlos
dc.contributor.authorFerreira, Joana
dc.contributor.authorMiranda, Ana Isabel
dc.date.accessioned2020-06-17T10:41:30Z
dc.date.available2020-06-17T10:41:30Z
dc.date.issued2023
dc.description.abstractAir pollution is nowadays a serious public health problem worldwide, especially in urban areas, due to high population density and intense anthropogenic activity. This paper aims to present the development of a modelling tool suitable for simulating multiscale air quality and health impacts - the modair4health system, and its application to an urban case study. The modair4health system includes the online model WRF-Chem, which provides meteorological and air quality fields from regional to urban scales, and the computational fluid dynamics model VADIS, which uses the urban WRF-Chem outputs to simulate the flow and pollutant dispersion in urban built-up areas. A health module based on World Health Organization (WHO) methodologies was also integrated into the system to quantify physical and economic health impacts resulting from air quality changes. The system was applied over a local case study, which represents one of the busiest road traffic areas of the city of Coimbra in Portugal, to assess its operationality in estimating NO2 concentrations and health impacts, by testing two traffic management scenarios. This scenario analysis considered a 4-domain nesting approach, with the finer resolution (4 m) domain focusing on the local case study and on two simulation periods, for which short-term health impacts were estimated. Spatially, the air quality and health greatest benefits were simulated around roads, where higher emission reductions were estimated, but they were also strongly influenced by the urban structure, local weather and population affected. The modair4health system has revealed to be an important multiscale modelling tool for integrated air quality and health assessment, able to support decision makers by facilitating the choice of cost-effective air quality and health management strategies and decisions. Moreover, its user-friendly interface allows to quickly test other urban air pollution control policies and the easy adaptation and application to other case studies considering regional to local atmospheric influences.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSilveira, Carlos; Ferreira, Joana; Miranda, Ana Isabel. (2023). A multiscale air quality and health risk modelling system: design and application over a local traffic management case study. Atmospheric Environment. ISSN 13522310. 249, p. 1-17pt_PT
dc.identifier.doi10.1016/j.atmosenv.2022.119481
dc.identifier.issn1352-2310
dc.identifier.urihttp://hdl.handle.net/10198/22091
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectHealth impactspt_PT
dc.subjectmodair4health systempt_PT
dc.subjectNitrogen dioxidept_PT
dc.subjectRoad trafficpt_PT
dc.subjectTraffic management strategiespt_PT
dc.subjectUrban air pollutionpt_PT
dc.titleA multiscale air quality and health risk modelling system: design and application over a local traffic management case studypt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.titleAtmospheric Environmentpt_PT
person.familyNameSilveira
person.givenNameCarlos
person.identifier.ciencia-id351A-FA79-885E
person.identifier.orcid0000-0002-9424-174X
person.identifier.ridX-1640-2018
person.identifier.scopus-author-id55849743000
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication1398fb36-ddf9-4a63-a4c1-d0c8602903fc
relation.isAuthorOfPublication.latestForDiscovery1398fb36-ddf9-4a63-a4c1-d0c8602903fc

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