Combined effect of high-resolution land cover and grid resolution on surface NO2 concentrations
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10198/25444 |
Resumo: | High-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. |
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Combined effect of high-resolution land cover and grid resolution on surface NO2 concentrationsAir pollutionNitrogen dioxideWRF-Chem modelNested domainsHorizontal grid resolutionLand coverEmissionsAir quality assessmentHigh-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.The 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).Biblioteca Digital do IPBSilveira, CarlosFerreira, JoanaTuccella, PaoloCurci, GabrieleMiranda, Ana Isabel2022-05-13T10:31:02Z20222022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10198/25444engSilveira, 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. 1-1510.3390/cli100200192225-1154info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-21T10:56:56Zoai:bibliotecadigital.ipb.pt:10198/25444Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:16:05.364026Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Combined effect of high-resolution land cover and grid resolution on surface NO2 concentrations |
title |
Combined effect of high-resolution land cover and grid resolution on surface NO2 concentrations |
spellingShingle |
Combined effect of high-resolution land cover and grid resolution on surface NO2 concentrations Silveira, Carlos Air pollution Nitrogen dioxide WRF-Chem model Nested domains Horizontal grid resolution Land cover Emissions Air quality assessment |
title_short |
Combined effect of high-resolution land cover and grid resolution on surface NO2 concentrations |
title_full |
Combined effect of high-resolution land cover and grid resolution on surface NO2 concentrations |
title_fullStr |
Combined effect of high-resolution land cover and grid resolution on surface NO2 concentrations |
title_full_unstemmed |
Combined effect of high-resolution land cover and grid resolution on surface NO2 concentrations |
title_sort |
Combined effect of high-resolution land cover and grid resolution on surface NO2 concentrations |
author |
Silveira, Carlos |
author_facet |
Silveira, Carlos Ferreira, Joana Tuccella, Paolo Curci, Gabriele Miranda, Ana Isabel |
author_role |
author |
author2 |
Ferreira, Joana Tuccella, Paolo Curci, Gabriele Miranda, Ana Isabel |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Biblioteca Digital do IPB |
dc.contributor.author.fl_str_mv |
Silveira, Carlos Ferreira, Joana Tuccella, Paolo Curci, Gabriele Miranda, Ana Isabel |
dc.subject.por.fl_str_mv |
Air pollution Nitrogen dioxide WRF-Chem model Nested domains Horizontal grid resolution Land cover Emissions Air quality assessment |
topic |
Air pollution Nitrogen dioxide WRF-Chem model Nested domains Horizontal grid resolution Land cover Emissions Air quality assessment |
description |
High-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. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-05-13T10:31:02Z 2022 2022-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10198/25444 |
url |
http://hdl.handle.net/10198/25444 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Silveira, 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. 1-15 10.3390/cli10020019 2225-1154 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799135444912308224 |