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Air pollution dynamics: the role of meteorological factors in PM10 concentration patterns across urban areas

2025Journal article Open access
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dc.contributor.authorGirotti, Carolina
dc.contributor.authorKowalski, Luiz
dc.contributor.authorSilva, Tiago
dc.contributor.authorCorreia, Ezequiel
dc.contributor.authorR. Prata Shimomura, Alessandra
dc.contributor.authorAkira Kurokawa, Fernando
dc.contributor.authorLopes, António
dc.date.accessioned2024-12-12T15:58:51Z
dc.date.available2024-12-12T15:58:51Z
dc.date.issued2025
dc.description.abstractAir pollution is a major health problem in urban areas, influenced by traffic and atmospheric conditions. This study investigates the relationship between meteorological factors—wind direction, wind speed, boundary layer height, and atmospheric stability conditions —street trees, and PM10 concentration in three urban canyons: Avenida da Liberdade and Estrada de Benfica in Lisbon, and Marginal Tietê in São Paulo. Five years of hourly meteorological data and PM10 concentrations were analysed. Despite differences in scale and traffic volume, the results show that PM10 concentration patterns were similar in both Lisbon study areas. These areas also indicated a significant influence of atmospheric variables such as wind speed, boundary layer height, and atmospheric stability conditions. Tietê, with a higher vehicle density and different atmospheric conditions (lower wind speeds and greater atmospheric stability), presents higher PM10 peaks. Seasonal analysis revealed distinct patterns influenced by atmospheric instability, wind speed, and direction. In winter, areas with dense street tree cover had reduced PM10 levels, while those without showed higher concentrations due to increased stability. Wind direction played a crucial role, favouring the pollutant dispersal in canyons with parallel winds. The Factorial Analysis of Mixed Data method identified qualitative variables linked to the seasons, wind direction, and presence of trees. PM10 levels below the were associated with the summer and autumn period, parallel winds, and street trees, while levels above the limit were linked to winter period and areas without street trees. By integrating big data analytics with environmental monitoring, this research underscores the importance of considering the local atmospheric conditions and environmental variables in the urban air quality management. Thus, it demonstrates that the traffic volume alone does not determine PM10 concentrations; instead, the interplay of multiple factors, including meteorological conditions and urban planning, played a crucial role. This study provides valuable insights for developing effective strategies to mitigate urban air pollution and protect public health.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationGirotti, C., Kowalski, L. F., Silva, T., Correia, E., Prata, A. R. S., Kurokawa, F. A., & Lopes, A. (2025). Air pollution dynamics: the role of meteorological factors in PM10 concentration patterns across urban areas. City and Environment Interactions, 25, 100184. https://doi.org/10.1016/j.cacint.2024.100184pt_PT
dc.identifier.doi10.1016/j.cacint.2024.100184pt_PT
dc.identifier.issn2590-2520
dc.identifier.urihttp://hdl.handle.net/10400.5/96287
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relationGrant #2021/14533-7, São Paulo Research Foundation (FAPESP)pt_PT
dc.relationGrant #2023/01130-7, São Paulo Research Foundation (FAPESP)pt_PT
dc.relationGrant # UI/BD/152225/2021, Fundação para a Ciência e Tecnologia (FCT)pt_PT
dc.relationUIDB/00295/2020pt_PT
dc.relationUIDP/00295/2020pt_PT
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S2590252024000448?via%3Dihubpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectAir qualitypt_PT
dc.subjectUrban environmentpt_PT
dc.subjectBig datapt_PT
dc.subjectAtmospheric Stability Conditionspt_PT
dc.subjectUrban Canyonspt_PT
dc.titleAir pollution dynamics: the role of meteorological factors in PM10 concentration patterns across urban areaspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.startPage100184pt_PT
oaire.citation.titleCity and Environment Interactionspt_PT
oaire.citation.volume25pt_PT
person.familyNameKowalski
person.familyNameSilva
person.familyNameCorreia
person.familyNameLopes
person.givenNameLuiz Fernando
person.givenNameTiago
person.givenNameEzequiel
person.givenNameAntónio
person.identifierhttp://lattes.cnpq.br/8500644020097476
person.identifier2030048
person.identifier1154615
person.identifier216928
person.identifier.ciencia-idDF18-B5F3-28E2
person.identifier.ciencia-id931A-D4BB-0152
person.identifier.ciencia-id2D17-9E04-D652
person.identifier.ciencia-id1D15-FB93-4687
person.identifier.orcid0000-0003-2450-3561
person.identifier.orcid0000-0001-6018-783X
person.identifier.orcid0000-0002-4026-7020
person.identifier.orcid0000-0002-9357-7639
person.identifier.ridD-2959-2017
person.identifier.ridF-3217-2010
person.identifier.scopus-author-id57224844436
person.identifier.scopus-author-id7003418813
person.identifier.scopus-author-id55951850000
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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relation.isAuthorOfPublicatione48e814c-e0f2-4288-a238-a60e3ade82ec
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