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Microclimate simulation and lichen-based validation analyzing street trees' impact on atmospheric pollutant dispersion at the urban canyon scale

dc.contributor.authorGirotti, Carolina
dc.contributor.authorMatos, Paula
dc.contributor.authorShimomura, Alessandra R. Prata
dc.contributor.authorKurokawa, Fernando Akira
dc.contributor.authorCorreia, Ezequiel
dc.contributor.authorLopes, António
dc.date.accessioned2025-07-28T12:00:57Z
dc.date.available2025-07-28T12:00:57Z
dc.date.issued2025
dc.description.abstractThis study investigates the impact of street trees on air pollutant concentrations, specifically NO₂ and PM10, in urban environments using computational fluid dynamics (CFD) simulations with ENVI-met software. The study explores how different levels of tree cover influence the dispersion of atmospheric pollutants, focusing on three scenarios: current tree cover, complete removal of street trees, and a 50 % reduction in tree cover. Avenida da Liberdade in Lisbon, known for its high tree density, serves as the study site. To ensure the accuracy of the simulations, the method was validated using air quality data from a local monitoring station, supplemented by an analysis of lichen diversity on 80 trees, a common biomonitor for pollution. The results indicate that both NO₂ and PM10 concentrations are higher under tree canopies, with the greatest increase observed on the windward side of the avenue. Specifically, PM10 levels rose by up to 2.97 %, and NO₂ by up to 25.84 % in the scenario with the highest tree cover. Moreover, the study highlights that street trees have a more significant effect on NO₂ concentrations compared to PM10. The findings suggest that, in this specific case—where there is a high density of trees and low wind speed— reducing tree coverage and improve permeability to the wind, could improve pollution dispersion. This study provides key findings into the complex role of urban trees in air quality and offers a foundation for future research into the modelling of additional pollutants, such as PM2.5 and ozone, to gain a more comprehensive understanding of their impacts on urban air quality.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationGirotti, C., Matos, P. S. A., Shimomura, A. R. P., Kurokawa, F. A., Correia, E & Lopes, A. (2025). Microclimate simulation and lichen-based validation analyzing street trees' impact on atmospheric pollutant dispersion at the urban canyon scale. Urban Climate, 62, 102549. https://doi.org/10.1016/j.uclim.2025.102549pt_PT
dc.identifier.doi10.1016/j.uclim.2025.102549pt_PT
dc.identifier.issn2212-0955
dc.identifier.urihttp://hdl.handle.net/10400.5/102464
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relationANTARCRUST - Biocrust biodiversity as an indicator to diagnose, monitor and predict climate change impacts in Antarctic ecosystems’ functioning
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S2212095525002652?via%3Dihubpt_PT
dc.subjectAir qualitypt_PT
dc.subjectUrban vegetationpt_PT
dc.subjectUrban pollutant simulationpt_PT
dc.subjectWind speedpt_PT
dc.subjectLichenspt_PT
dc.titleMicroclimate simulation and lichen-based validation analyzing street trees' impact on atmospheric pollutant dispersion at the urban canyon scalept_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleANTARCRUST - Biocrust biodiversity as an indicator to diagnose, monitor and predict climate change impacts in Antarctic ecosystems’ functioning
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/CEEC IND 3ed/2020.03347.CEECIND%2FCP1614%2FCT0001/PT
oaire.citation.issue62pt_PT
oaire.citation.startPage102549pt_PT
oaire.citation.titleUrban Climatept_PT
oaire.fundingStreamCEEC IND 3ed
person.familyNameAntunes Matos
person.familyNameCorreia
person.familyNameLopes
person.givenNamePaula Sofia
person.givenNameEzequiel
person.givenNameAntónio
person.identifierG-5048-2011
person.identifier1154615
person.identifier216928
person.identifier.ciencia-id2116-F0C9-AD1A
person.identifier.ciencia-id2D17-9E04-D652
person.identifier.ciencia-id1D15-FB93-4687
person.identifier.orcid0000-0001-6148-414X
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-id37461802700
person.identifier.scopus-author-id7003418813
person.identifier.scopus-author-id55951850000
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationc59cd055-fdab-45ba-ba81-528fad226a2a
relation.isAuthorOfPublicationa1f5d857-c169-4a67-82c4-43063657c818
relation.isAuthorOfPublication5ec106ce-350f-4b1b-aed6-1acd9f11f7f1
relation.isAuthorOfPublication.latestForDiscovery5ec106ce-350f-4b1b-aed6-1acd9f11f7f1
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