Empirical model of thermal comfort for medium-sized cities in subtropical climate

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dc.contributor.authorGobo J.P.A.
dc.contributor.authorFaria M.R.
dc.contributor.authorGalvani E.
dc.contributor.authorAmorim M.C.C.T.
dc.contributor.authorCeluppi M.C.
dc.contributor.authorWollmann C.A.
dc.date.accessioned2024-03-12T23:51:43Z
dc.date.available2024-03-12T23:51:43Z
dc.date.issued2019
dc.description.abstract© 2019 by the authors.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.
dc.description.issuenumber10
dc.description.volume10
dc.identifier.doi10.3390/atmos10100576
dc.identifier.issn2073-4433
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/35190
dc.relation.ispartofAtmosphere
dc.rightsAcesso Aberto
dc.subject.otherlanguageThermal comfort
dc.subject.otherlanguageThermal sensation
dc.subject.otherlanguageUrban climate
dc.subject.otherlanguageUrban planning
dc.titleEmpirical model of thermal comfort for medium-sized cities in subtropical climate
dc.typeArtigo
local.scopus.citations4
local.scopus.eid2-s2.0-85074090075
local.scopus.subjectBioclimatic models
local.scopus.subjectCross-sectional surveys
local.scopus.subjectHeteroscedasticity
local.scopus.subjectMultiple linear regressions
local.scopus.subjectSubtropical climates
local.scopus.subjectThermal sensations
local.scopus.subjectTraditional models
local.scopus.subjectUrban climates
local.scopus.updated2024-05-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85074090075&origin=inward
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