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Combined effect of high-resolution land cover and grid resolution on surface NO2 concentrations

2022Journal article Open access
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dc.contributor.authorSilveira, Carlos
dc.contributor.authorFerreira, Joana
dc.contributor.authorTuccella, Paolo
dc.contributor.authorCurci, Gabriele
dc.contributor.authorMiranda, Ana Isabel
dc.date.accessioned2022-05-13T10:31:02Z
dc.date.available2022-05-13T10:31:02Z
dc.date.issued2022
dc.description.abstractHigh-resolution air quality simulations are often performed using different nested domains and resolutions. In this study, the variability of nitrogen dioxide (NO2) concentrations estimated from two nested domains focused on Portugal (D2 and D3), with 5 and 1 km horizontal grid resolutions, respectively, was investigated by applying the WRF-Chem model for the year 2015. The main goal and innovative aspect of this study is the simulation of a whole year with high resolutions to analyse the spatial variability under the simulation grids in conjunction with detailed land cover (LC) data specifically processed for these high-resolution domains. The model evaluation was focused on Portuguese air quality monitoring stations taking into consideration the station typology. As main results, it should be noted that (i) D3 urban LC categories enhanced pollution hotspots; (ii) generally, modelled NO2 was underestimated, except for rural stations; (iii) differences between D2 and D3 estimates were small; (iv) higher resolution did not impact model performance; and (v) hourly D2 estimates presented an acceptable quality level for policy support. These modelled values are based on a detailed LC classification (100 m horizontal resolution) and coarse spatial resolution (approximately 10 km) emission inventory, the latter suitable for portraying background air pollution problems. Thus, if the goal is to characterise urban/local-scale pollution patterns, the use of high grid resolution could be advantageous, as long as the input data are properly represented.pt_PT
dc.description.sponsorshipThe authors are grateful to the Foundation for Science and Technology (FCT, Portugal) for financial support by national funds FCT/MCTES to CIMO (UIDB/00690/2020), SusTEC (LA/P/0007/2020) and CESAM (UIDP/50017/2020 + UIDB/50017/2020 + LA/P/0094/2020), and for the contract granted to Joana Ferreira (2020.00622.CEECIND). Thanks are also due for financial support to OleaChain project “Skills for sustainability and innovation in the value chain of traditional olive groves in the Northern Interior of Portugal” (NORTE-06-3559-FSE-000188).pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSilveira, Carlos; Ferreira, Joana; Tuccella, Paolo; Curci, Gabriele; Miranda, Ana I. (2022). Combined effect of high-resolution land cover and grid resolution on surface NO2 concentrations. Climate. eISSN 2225-1154. 10:2, p. 1-15pt_PT
dc.identifier.doi10.3390/cli10020019pt_PT
dc.identifier.eissn2225-1154
dc.identifier.urihttp://hdl.handle.net/10198/25444
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationLA/P/0007/2020pt_PT
dc.relationMountain Research Center
dc.relationCentre for Environmental and Marine Studies
dc.relationCentre for Environmental and Marine Studies
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectAir pollutionpt_PT
dc.subjectNitrogen dioxidept_PT
dc.subjectWRF-Chem modelpt_PT
dc.subjectNested domainspt_PT
dc.subjectHorizontal grid resolutionpt_PT
dc.subjectLand coverpt_PT
dc.subjectEmissionspt_PT
dc.subjectAir quality assessmentpt_PT
dc.titleCombined effect of high-resolution land cover and grid resolution on surface NO2 concentrationspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleMountain Research Center
oaire.awardTitleCentre for Environmental and Marine Studies
oaire.awardTitleCentre for Environmental and Marine Studies
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00690%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F50017%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50017%2F2020/PT
oaire.citation.issue2pt_PT
oaire.citation.startPage19pt_PT
oaire.citation.titleClimatept_PT
oaire.citation.volume10pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
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
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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relation.isAuthorOfPublication.latestForDiscovery1398fb36-ddf9-4a63-a4c1-d0c8602903fc
relation.isProjectOfPublication29718e93-4989-42bb-bcbc-4daff3870b25
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