Microclimate Multivariate Analysis of Two Industrial Areas

Detalhes bibliográficos
Autor(a) principal: Arruda, Angela Maria de
Data de Publicação: 2023
Outros Autores: Lopes, António, Masiero, Érico
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10451/59282
Resumo: Most of the existing studies on the increase in air temperature (AT) in industrial neighborhoods (UIs) approach the subject from the analysis of the land surface temperature (LST). Therefore, the objective of this study was to analyze, in addition to LST, the variables of air temperature, relative and specific humidity, wind speed and direction, sky view factor and the albedo of the material surfaces, and to verify which of them has a greater impact on the urban microclimate of the UIs of two cities, Sintra/PT and Uberlândia/BR. To develop this analysis, representative sections of industrial urban areas in the previously mentioned cities were selected and computational simulations were carried out with the ENVI-met software to obtain results related to the studied variables. The results of the simulations, analyzed using multivariate analysis, showed that even though the Udia UI has materials with lower albedo (−45%), lower percentages of vegetation (−20%) and lower WS (−40%) than the Sin UI, the AT inside it may be lower than in the unshaded surroundings around 1.3 °C. For Sin UI, a difference in WS of −1.9 m/s, compared to the control points, caused a peak of +1.5 °C in the industrial environment at 13 h, contrary to what happened in Udia UI.
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spelling Microclimate Multivariate Analysis of Two Industrial AreasUrban microclimateMultivariate analysisComputer simulationMost of the existing studies on the increase in air temperature (AT) in industrial neighborhoods (UIs) approach the subject from the analysis of the land surface temperature (LST). Therefore, the objective of this study was to analyze, in addition to LST, the variables of air temperature, relative and specific humidity, wind speed and direction, sky view factor and the albedo of the material surfaces, and to verify which of them has a greater impact on the urban microclimate of the UIs of two cities, Sintra/PT and Uberlândia/BR. To develop this analysis, representative sections of industrial urban areas in the previously mentioned cities were selected and computational simulations were carried out with the ENVI-met software to obtain results related to the studied variables. The results of the simulations, analyzed using multivariate analysis, showed that even though the Udia UI has materials with lower albedo (−45%), lower percentages of vegetation (−20%) and lower WS (−40%) than the Sin UI, the AT inside it may be lower than in the unshaded surroundings around 1.3 °C. For Sin UI, a difference in WS of −1.9 m/s, compared to the control points, caused a peak of +1.5 °C in the industrial environment at 13 h, contrary to what happened in Udia UI.Repositório da Universidade de LisboaArruda, Angela Maria deLopes, AntónioMasiero, Érico2023-09-14T09:37:11Z20232023-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10451/59282eng2073-443310.3390/atmos14081321info: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:RCAAP2023-11-08T17:08:19Zoai:repositorio.ul.pt:10451/59282Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:09:13.206757Repositório 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 Microclimate Multivariate Analysis of Two Industrial Areas
title Microclimate Multivariate Analysis of Two Industrial Areas
spellingShingle Microclimate Multivariate Analysis of Two Industrial Areas
Arruda, Angela Maria de
Urban microclimate
Multivariate analysis
Computer simulation
title_short Microclimate Multivariate Analysis of Two Industrial Areas
title_full Microclimate Multivariate Analysis of Two Industrial Areas
title_fullStr Microclimate Multivariate Analysis of Two Industrial Areas
title_full_unstemmed Microclimate Multivariate Analysis of Two Industrial Areas
title_sort Microclimate Multivariate Analysis of Two Industrial Areas
author Arruda, Angela Maria de
author_facet Arruda, Angela Maria de
Lopes, António
Masiero, Érico
author_role author
author2 Lopes, António
Masiero, Érico
author2_role author
author
dc.contributor.none.fl_str_mv Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Arruda, Angela Maria de
Lopes, António
Masiero, Érico
dc.subject.por.fl_str_mv Urban microclimate
Multivariate analysis
Computer simulation
topic Urban microclimate
Multivariate analysis
Computer simulation
description Most of the existing studies on the increase in air temperature (AT) in industrial neighborhoods (UIs) approach the subject from the analysis of the land surface temperature (LST). Therefore, the objective of this study was to analyze, in addition to LST, the variables of air temperature, relative and specific humidity, wind speed and direction, sky view factor and the albedo of the material surfaces, and to verify which of them has a greater impact on the urban microclimate of the UIs of two cities, Sintra/PT and Uberlândia/BR. To develop this analysis, representative sections of industrial urban areas in the previously mentioned cities were selected and computational simulations were carried out with the ENVI-met software to obtain results related to the studied variables. The results of the simulations, analyzed using multivariate analysis, showed that even though the Udia UI has materials with lower albedo (−45%), lower percentages of vegetation (−20%) and lower WS (−40%) than the Sin UI, the AT inside it may be lower than in the unshaded surroundings around 1.3 °C. For Sin UI, a difference in WS of −1.9 m/s, compared to the control points, caused a peak of +1.5 °C in the industrial environment at 13 h, contrary to what happened in Udia UI.
publishDate 2023
dc.date.none.fl_str_mv 2023-09-14T09:37:11Z
2023
2023-01-01T00:00:00Z
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url http://hdl.handle.net/10451/59282
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language eng
dc.relation.none.fl_str_mv 2073-4433
10.3390/atmos14081321
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