Empirical model of thermal comfort for medium-sized cities in subtropical climate
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.3390/atmos10100576 http://hdl.handle.net/11449/199560 |
Resumo: | The present study sought to elaborate an empirical model of thermal comfort for medium-sized cities in subtropical climate, based on a cross-sectional survey in the city of Santa Maria, state of Rio Grande do Sul, Brazil. The research was based on the collection of meteorological, subjective and individual data collected simultaneously in August 2015, January and July 2016, which were submitted to multiple linear regression for the elaboration of the Bioclimatic Model for Subtropical Medium-Sized Cities (MBCMS). The proposed model was validated through a normality test, obtained by the measure of obliquity and kurtosis of the distribution, heteroscedasticity and covariance, as well as by the comparison between already traditional models in the literature, such as PET, SET and PMV, which were calibrated to the study area, and the results observed for MBCMS. The results presented high multiple R-squared and adjusted R-squared, 0.928 and 0.925, respectively, for the proposed model, as well as an F-statistic of 447.6. In the validation, the MBCMS presented R equal to 0.83 and an accuracy score 60% more efficient than the PET, SET and PMV indexes. |
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Repositório Institucional da UNESP |
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Empirical model of thermal comfort for medium-sized cities in subtropical climateThermal comfortThermal sensationUrban climateUrban planningThe present study sought to elaborate an empirical model of thermal comfort for medium-sized cities in subtropical climate, based on a cross-sectional survey in the city of Santa Maria, state of Rio Grande do Sul, Brazil. The research was based on the collection of meteorological, subjective and individual data collected simultaneously in August 2015, January and July 2016, which were submitted to multiple linear regression for the elaboration of the Bioclimatic Model for Subtropical Medium-Sized Cities (MBCMS). The proposed model was validated through a normality test, obtained by the measure of obliquity and kurtosis of the distribution, heteroscedasticity and covariance, as well as by the comparison between already traditional models in the literature, such as PET, SET and PMV, which were calibrated to the study area, and the results observed for MBCMS. The results presented high multiple R-squared and adjusted R-squared, 0.928 and 0.925, respectively, for the proposed model, as well as an F-statistic of 447.6. In the validation, the MBCMS presented R equal to 0.83 and an accuracy score 60% more efficient than the PET, SET and PMV indexes.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Universidade Federal de Santa MariaDepartment of Geography Federal University of Rondônia (UNIR)Institute of Physics (IF) University of São Paulo (USP)Faculty of Philosophy Literature and Humanities (FFLCH) University of São Paulo (USP)School of Science and Technology Presidente Prudente Campus São Paulo State University (UNESP)Architecture and Urbanism Graduate Program Mackenzie Presbyterian UniversityNatural and Exact Sciences Center (CCNE) Federal University of Santa Maria (UFSM)School of Science and Technology Presidente Prudente Campus São Paulo State University (UNESP)Federal University of Rondônia (UNIR)Universidade de São Paulo (USP)Universidade Estadual Paulista (Unesp)Mackenzie Presbyterian UniversityUniversidade Federal de Sergipe (UFS)Gobo, João Paulo AssisFaria, Marlon ResendeGalvani, EmersonAmorim, Margarete Cristiane de Costa Trindade [UNESP]Celuppi, Maria CristinaWollmann, Cássio Arthur2020-12-12T01:43:17Z2020-12-12T01:43:17Z2019-10-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.3390/atmos10100576Atmosphere, v. 10, n. 10, 2019.2073-4433http://hdl.handle.net/11449/19956010.3390/atmos101005762-s2.0-85074090075Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengAtmosphereinfo:eu-repo/semantics/openAccess2021-10-23T08:05:26Zoai:repositorio.unesp.br:11449/199560Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T08:05:26Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Empirical model of thermal comfort for medium-sized cities in subtropical climate |
title |
Empirical model of thermal comfort for medium-sized cities in subtropical climate |
spellingShingle |
Empirical model of thermal comfort for medium-sized cities in subtropical climate Gobo, João Paulo Assis Thermal comfort Thermal sensation Urban climate Urban planning |
title_short |
Empirical model of thermal comfort for medium-sized cities in subtropical climate |
title_full |
Empirical model of thermal comfort for medium-sized cities in subtropical climate |
title_fullStr |
Empirical model of thermal comfort for medium-sized cities in subtropical climate |
title_full_unstemmed |
Empirical model of thermal comfort for medium-sized cities in subtropical climate |
title_sort |
Empirical model of thermal comfort for medium-sized cities in subtropical climate |
author |
Gobo, João Paulo Assis |
author_facet |
Gobo, João Paulo Assis Faria, Marlon Resende Galvani, Emerson Amorim, Margarete Cristiane de Costa Trindade [UNESP] Celuppi, Maria Cristina Wollmann, Cássio Arthur |
author_role |
author |
author2 |
Faria, Marlon Resende Galvani, Emerson Amorim, Margarete Cristiane de Costa Trindade [UNESP] Celuppi, Maria Cristina Wollmann, Cássio Arthur |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Federal University of Rondônia (UNIR) Universidade de São Paulo (USP) Universidade Estadual Paulista (Unesp) Mackenzie Presbyterian University Universidade Federal de Sergipe (UFS) |
dc.contributor.author.fl_str_mv |
Gobo, João Paulo Assis Faria, Marlon Resende Galvani, Emerson Amorim, Margarete Cristiane de Costa Trindade [UNESP] Celuppi, Maria Cristina Wollmann, Cássio Arthur |
dc.subject.por.fl_str_mv |
Thermal comfort Thermal sensation Urban climate Urban planning |
topic |
Thermal comfort Thermal sensation Urban climate Urban planning |
description |
The present study sought to elaborate an empirical model of thermal comfort for medium-sized cities in subtropical climate, based on a cross-sectional survey in the city of Santa Maria, state of Rio Grande do Sul, Brazil. The research was based on the collection of meteorological, subjective and individual data collected simultaneously in August 2015, January and July 2016, which were submitted to multiple linear regression for the elaboration of the Bioclimatic Model for Subtropical Medium-Sized Cities (MBCMS). The proposed model was validated through a normality test, obtained by the measure of obliquity and kurtosis of the distribution, heteroscedasticity and covariance, as well as by the comparison between already traditional models in the literature, such as PET, SET and PMV, which were calibrated to the study area, and the results observed for MBCMS. The results presented high multiple R-squared and adjusted R-squared, 0.928 and 0.925, respectively, for the proposed model, as well as an F-statistic of 447.6. In the validation, the MBCMS presented R equal to 0.83 and an accuracy score 60% more efficient than the PET, SET and PMV indexes. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-10-01 2020-12-12T01:43:17Z 2020-12-12T01:43:17Z |
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/10.3390/atmos10100576 Atmosphere, v. 10, n. 10, 2019. 2073-4433 http://hdl.handle.net/11449/199560 10.3390/atmos10100576 2-s2.0-85074090075 |
url |
http://dx.doi.org/10.3390/atmos10100576 http://hdl.handle.net/11449/199560 |
identifier_str_mv |
Atmosphere, v. 10, n. 10, 2019. 2073-4433 10.3390/atmos10100576 2-s2.0-85074090075 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Atmosphere |
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 |
|
_version_ |
1792962301251289088 |