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Open AccessArticle

Empirical Model of Thermal Comfort for Medium-Sized Cities in Subtropical Climate

Department of Geography, Federal University of Rondônia (UNIR), Porto Velho 76801-059, Brazil
Institute of Physics (IF), University of São Paulo (USP), São Paulo 05508-090, Brazil
Faculty of Philosophy, Literature and Humanities (FFLCH), University of São Paulo (USP), São Paulo 05508-080, Brazil
School of Science and Technology, Presidente Prudente Campus, São Paulo State University (UNESP), Presidente Prudente 19060-900, Brazil
Architecture and Urbanism Graduate Program, Mackenzie Presbyterian University, São Paulo 01302-907, Brazil
Natural and Exact Sciences Center (CCNE), Federal University of Santa Maria (UFSM), Santa Maria 97105-900, Brazil
Author to whom correspondence should be addressed.
Atmosphere 2019, 10(10), 576;
Received: 16 August 2019 / Revised: 15 September 2019 / Accepted: 16 September 2019 / Published: 24 September 2019
(This article belongs to the Section Biometeorology)
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. View Full-Text
Keywords: thermal comfort; urban planning; thermal sensation; urban climate thermal comfort; urban planning; thermal sensation; urban climate
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Gobo, J.P.A.; Faria, M.R.; Galvani, E.; Amorim, M.C.C.T.; Celuppi, M.C.; Wollmann, C.A. Empirical Model of Thermal Comfort for Medium-Sized Cities in Subtropical Climate. Atmosphere 2019, 10, 576.

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