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Atmosphere 2018, 9(10), 391; https://doi.org/10.3390/atmos9100391

Empirical Model of Human Thermal Comfort in Subtropical Climates: A First Approach to the Brazilian Subtropical Index (BSI)

1
Faculty of Philosophy, Literature and Humanities (FFLCH), University of São Paulo (USP), São Paulo 05508-080, Brazil
2
Institute of Physics (IF), University of São Paulo (USP), São Paulo 05508-090, Brazil
3
Institute of Astronomy, Geophysics and Atmospheric Sciences (IAG), University of São Paulo (USP), São Paulo 05508-090, Brazil
4
School of Architecture and Urbanism (FAU), University of São Paulo (USP), São Paulo 05508-080, Brazil
*
Author to whom correspondence should be addressed.
Received: 13 September 2018 / Revised: 30 September 2018 / Accepted: 2 October 2018 / Published: 8 October 2018
(This article belongs to the Section Biometeorology)
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Abstract

The bioclimatic well-being of individuals is associated with the environmental characteristics of where they live. Knowing the relationships between local and regional climatic variables as well as the physical characteristics of a given region and their implications on thermal comfort is important for identifying aspects of thermal sensation in the population. The aim of this study is to develop an empirical model of human thermal comfort based on subjective and individual environmental patterns observed in the city of Santa Maria, located in the state of Rio Grande do Sul, Brazil (Subtropical climate). Meteorological data were collected by means of an automatic meteorological station installed in the city center, which contained sensors measuring global solar radiation, air temperature, globe temperature (via a grey globe thermometer), relative humidity and wind speed and direction. A total of 1720 people were also interviewed using a questionnaire adapted from the model recommended by ISO 10551. Linear regressions were performed to obtain the predictive model. The observed results proposed a new empirical model for subtropical climate, the Brazilian Subtropical Index (BSI), which was verified to be more than 79% accurate, with a coefficient of determination of 0.926 and an adjusted R2 value of 0.924. View Full-Text
Keywords: thermal comfort index; linear regression; predictive model thermal comfort index; linear regression; predictive model
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Gobo, J.P.A.; Faria, M.R.; Galvani, E.; Goncalves, F.L.T.; Monteiro, L.M. Empirical Model of Human Thermal Comfort in Subtropical Climates: A First Approach to the Brazilian Subtropical Index (BSI). Atmosphere 2018, 9, 391.

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