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

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

Tipo

Artigo

Data de publicação

2019

Periódico

Atmosphere

Citações (Scopus)

4

Autores

Gobo J.P.A.
Faria M.R.
Galvani E.
Amorim M.C.C.T.
Celuppi M.C.
Wollmann C.A.

Resumo

© 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.

Assuntos Scopus

Bioclimatic models , Cross-sectional surveys , Heteroscedasticity , Multiple linear regressions , Subtropical climates , Thermal sensations , Traditional models , Urban climates