Spatial modeling of an urban Brazilian heat island in a tropical continental climate

Detalhes bibliográficos
Autor(a) principal: Dorigon, Larissa Piffer [UNESP]
Data de Publicação: 2019
Outros Autores: Amorim, Margarete Cristiane de Costa Trindade [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1016/j.uclim.2019.100461
http://hdl.handle.net/11449/188974
Resumo: Because climate aspects should be an important consideration when structuring urban spaces, this paper reports the results of combined field measurements and surface sensing data analyzed using statistical calculations. This was undertaken with the goal of detecting intra-urban air temperature patterns in a Brazilian city with a tropical continental climate (Paranavaí, Paraná State) through spatial modeling of an urban heat island. The air temperature data used were collected through mobile transects and used with Landsat 8 satellite as well as SRTM radar images for direct correlations of surface features (land use, NDVI, hypsometry and surface temperature). The model was executed in the IDRISI program based on linear regression and a final multi-criteria regression. In analyzing the heat island effect in Paranavaí, significant differences were found. The municipal public policy implemented in 2005 that chiefly addresses urban tree planting is assumed to have positive effects and can be considered as an example for other tropical cities. Based on our collective analyses and assessment, the modeling results lead to the conclusion that satisfactory results can be obtained by associating measured field data with surface characteristics, which represents an advance in the spatialization of local climatic data.
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spelling Spatial modeling of an urban Brazilian heat island in a tropical continental climateHeat islandModelingParanavaí/BrazilTemperatureUrban climateBecause climate aspects should be an important consideration when structuring urban spaces, this paper reports the results of combined field measurements and surface sensing data analyzed using statistical calculations. This was undertaken with the goal of detecting intra-urban air temperature patterns in a Brazilian city with a tropical continental climate (Paranavaí, Paraná State) through spatial modeling of an urban heat island. The air temperature data used were collected through mobile transects and used with Landsat 8 satellite as well as SRTM radar images for direct correlations of surface features (land use, NDVI, hypsometry and surface temperature). The model was executed in the IDRISI program based on linear regression and a final multi-criteria regression. In analyzing the heat island effect in Paranavaí, significant differences were found. The municipal public policy implemented in 2005 that chiefly addresses urban tree planting is assumed to have positive effects and can be considered as an example for other tropical cities. Based on our collective analyses and assessment, the modeling results lead to the conclusion that satisfactory results can be obtained by associating measured field data with surface characteristics, which represents an advance in the spatialization of local climatic data.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Department of Geography São Paulo State University (UNESP), 305 Roberto Simonsen Street, Presidente PrudenteDepartment of Geography São Paulo State University (UNESP), 305 Roberto Simonsen Street, Presidente PrudenteUniversidade Estadual Paulista (Unesp)Dorigon, Larissa Piffer [UNESP]Amorim, Margarete Cristiane de Costa Trindade [UNESP]2019-10-06T16:25:45Z2019-10-06T16:25:45Z2019-06-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.uclim.2019.100461Urban Climate, v. 28.2212-0955http://hdl.handle.net/11449/18897410.1016/j.uclim.2019.1004612-s2.0-850642534516644811083291335Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengUrban Climateinfo:eu-repo/semantics/openAccess2024-06-19T13:48:22Zoai:repositorio.unesp.br:11449/188974Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T23:21:52.403575Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Spatial modeling of an urban Brazilian heat island in a tropical continental climate
title Spatial modeling of an urban Brazilian heat island in a tropical continental climate
spellingShingle Spatial modeling of an urban Brazilian heat island in a tropical continental climate
Dorigon, Larissa Piffer [UNESP]
Heat island
Modeling
Paranavaí/Brazil
Temperature
Urban climate
title_short Spatial modeling of an urban Brazilian heat island in a tropical continental climate
title_full Spatial modeling of an urban Brazilian heat island in a tropical continental climate
title_fullStr Spatial modeling of an urban Brazilian heat island in a tropical continental climate
title_full_unstemmed Spatial modeling of an urban Brazilian heat island in a tropical continental climate
title_sort Spatial modeling of an urban Brazilian heat island in a tropical continental climate
author Dorigon, Larissa Piffer [UNESP]
author_facet Dorigon, Larissa Piffer [UNESP]
Amorim, Margarete Cristiane de Costa Trindade [UNESP]
author_role author
author2 Amorim, Margarete Cristiane de Costa Trindade [UNESP]
author2_role author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Dorigon, Larissa Piffer [UNESP]
Amorim, Margarete Cristiane de Costa Trindade [UNESP]
dc.subject.por.fl_str_mv Heat island
Modeling
Paranavaí/Brazil
Temperature
Urban climate
topic Heat island
Modeling
Paranavaí/Brazil
Temperature
Urban climate
description Because climate aspects should be an important consideration when structuring urban spaces, this paper reports the results of combined field measurements and surface sensing data analyzed using statistical calculations. This was undertaken with the goal of detecting intra-urban air temperature patterns in a Brazilian city with a tropical continental climate (Paranavaí, Paraná State) through spatial modeling of an urban heat island. The air temperature data used were collected through mobile transects and used with Landsat 8 satellite as well as SRTM radar images for direct correlations of surface features (land use, NDVI, hypsometry and surface temperature). The model was executed in the IDRISI program based on linear regression and a final multi-criteria regression. In analyzing the heat island effect in Paranavaí, significant differences were found. The municipal public policy implemented in 2005 that chiefly addresses urban tree planting is assumed to have positive effects and can be considered as an example for other tropical cities. Based on our collective analyses and assessment, the modeling results lead to the conclusion that satisfactory results can be obtained by associating measured field data with surface characteristics, which represents an advance in the spatialization of local climatic data.
publishDate 2019
dc.date.none.fl_str_mv 2019-10-06T16:25:45Z
2019-10-06T16:25:45Z
2019-06-01
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://dx.doi.org/10.1016/j.uclim.2019.100461
Urban Climate, v. 28.
2212-0955
http://hdl.handle.net/11449/188974
10.1016/j.uclim.2019.100461
2-s2.0-85064253451
6644811083291335
url http://dx.doi.org/10.1016/j.uclim.2019.100461
http://hdl.handle.net/11449/188974
identifier_str_mv Urban Climate, v. 28.
2212-0955
10.1016/j.uclim.2019.100461
2-s2.0-85064253451
6644811083291335
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Urban Climate
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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