Quantifying the effect of waterways and green areas on the surface temperature

Detalhes bibliográficos
Autor(a) principal: Alves, Elis Dener Lima
Data de Publicação: 2017
Tipo de documento: Artigo
Idioma: eng
por
Título da fonte: Acta scientiarum. Technology (Online)
Texto Completo: http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/30469
Resumo: The cooling effects of urban parks and green areas, which form the “Park Cool Island” (PCI) can help decrease the surface temperature and mitigate the effects of urban heat islands (UHI). Therefore, the objective of this research was to know the temporal variability of PCI intensity, as well as analyze the factors that determines it and propose an equation to predict the PCI intensity in Iporá, Goiás State, Brazil. To this purpose, the PCI intensity values were obtained using the Landsat-8 satellite (band 10), and then correlated with the NDVI and the LAI, in which proposes equations through multiple linear regression to estimate the PCI intensity. The results indicated that: 1) the greater the distance of the natural area, greater the surface temperature; 2) there is a great seasonality in PCI, in which the intensity of PCI is much higher in the spring (or close to it); 3) the relationship between NDVI and LAI variables, showed good coefficients of determination; 4) the equations for the buffer of 200 and 500 m, had low RMSE with high coefficients of determination (r2 = 0.924 and r2 = 0.957 respectively). 
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spelling Quantifying the effect of waterways and green areas on the surface temperatureurban heat island (UHI)Park Cool Island (PCI)surface temperature.The cooling effects of urban parks and green areas, which form the “Park Cool Island” (PCI) can help decrease the surface temperature and mitigate the effects of urban heat islands (UHI). Therefore, the objective of this research was to know the temporal variability of PCI intensity, as well as analyze the factors that determines it and propose an equation to predict the PCI intensity in Iporá, Goiás State, Brazil. To this purpose, the PCI intensity values were obtained using the Landsat-8 satellite (band 10), and then correlated with the NDVI and the LAI, in which proposes equations through multiple linear regression to estimate the PCI intensity. The results indicated that: 1) the greater the distance of the natural area, greater the surface temperature; 2) there is a great seasonality in PCI, in which the intensity of PCI is much higher in the spring (or close to it); 3) the relationship between NDVI and LAI variables, showed good coefficients of determination; 4) the equations for the buffer of 200 and 500 m, had low RMSE with high coefficients of determination (r2 = 0.924 and r2 = 0.957 respectively). Universidade Estadual De Maringá2017-02-24info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/3046910.4025/actascitechnol.v39i1.30469Acta Scientiarum. Technology; Vol 39 No 1 (2017); 89-96Acta Scientiarum. Technology; v. 39 n. 1 (2017); 89-961806-25631807-8664reponame:Acta scientiarum. Technology (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMengporhttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/30469/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/30469/751375144469Copyright (c) 2017 Acta Scientiarum. Technologyinfo:eu-repo/semantics/openAccessAlves, Elis Dener Lima2017-02-24T10:36:53Zoai:periodicos.uem.br/ojs:article/30469Revistahttp://periodicos.uem.br/ojs/index.php/ActaSciTechnolPUBhttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/oai||actatech@uem.br1807-86641806-2563opendoar:2017-02-24T10:36:53Acta scientiarum. Technology (Online) - Universidade Estadual de Maringá (UEM)false
dc.title.none.fl_str_mv Quantifying the effect of waterways and green areas on the surface temperature
title Quantifying the effect of waterways and green areas on the surface temperature
spellingShingle Quantifying the effect of waterways and green areas on the surface temperature
Alves, Elis Dener Lima
urban heat island (UHI)
Park Cool Island (PCI)
surface temperature.
title_short Quantifying the effect of waterways and green areas on the surface temperature
title_full Quantifying the effect of waterways and green areas on the surface temperature
title_fullStr Quantifying the effect of waterways and green areas on the surface temperature
title_full_unstemmed Quantifying the effect of waterways and green areas on the surface temperature
title_sort Quantifying the effect of waterways and green areas on the surface temperature
author Alves, Elis Dener Lima
author_facet Alves, Elis Dener Lima
author_role author
dc.contributor.author.fl_str_mv Alves, Elis Dener Lima
dc.subject.por.fl_str_mv urban heat island (UHI)
Park Cool Island (PCI)
surface temperature.
topic urban heat island (UHI)
Park Cool Island (PCI)
surface temperature.
description The cooling effects of urban parks and green areas, which form the “Park Cool Island” (PCI) can help decrease the surface temperature and mitigate the effects of urban heat islands (UHI). Therefore, the objective of this research was to know the temporal variability of PCI intensity, as well as analyze the factors that determines it and propose an equation to predict the PCI intensity in Iporá, Goiás State, Brazil. To this purpose, the PCI intensity values were obtained using the Landsat-8 satellite (band 10), and then correlated with the NDVI and the LAI, in which proposes equations through multiple linear regression to estimate the PCI intensity. The results indicated that: 1) the greater the distance of the natural area, greater the surface temperature; 2) there is a great seasonality in PCI, in which the intensity of PCI is much higher in the spring (or close to it); 3) the relationship between NDVI and LAI variables, showed good coefficients of determination; 4) the equations for the buffer of 200 and 500 m, had low RMSE with high coefficients of determination (r2 = 0.924 and r2 = 0.957 respectively). 
publishDate 2017
dc.date.none.fl_str_mv 2017-02-24
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/30469
10.4025/actascitechnol.v39i1.30469
url http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/30469
identifier_str_mv 10.4025/actascitechnol.v39i1.30469
dc.language.iso.fl_str_mv eng
por
language eng
por
dc.relation.none.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/30469/pdf
http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/30469/751375144469
dc.rights.driver.fl_str_mv Copyright (c) 2017 Acta Scientiarum. Technology
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2017 Acta Scientiarum. Technology
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Universidade Estadual De Maringá
publisher.none.fl_str_mv Universidade Estadual De Maringá
dc.source.none.fl_str_mv Acta Scientiarum. Technology; Vol 39 No 1 (2017); 89-96
Acta Scientiarum. Technology; v. 39 n. 1 (2017); 89-96
1806-2563
1807-8664
reponame:Acta scientiarum. Technology (Online)
instname:Universidade Estadual de Maringá (UEM)
instacron:UEM
instname_str Universidade Estadual de Maringá (UEM)
instacron_str UEM
institution UEM
reponame_str Acta scientiarum. Technology (Online)
collection Acta scientiarum. Technology (Online)
repository.name.fl_str_mv Acta scientiarum. Technology (Online) - Universidade Estadual de Maringá (UEM)
repository.mail.fl_str_mv ||actatech@uem.br
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