João Paulo Assis Gobo

ZONING STUDY OF HUMAN THERMAL COMFORT FOR THE RIO GRANDE DO SUL: THE INTEGRATION OF YEARS AS STANDARD PROPOSED METHODOLOGY

This study concerns to evaluate the thermal comfort conditions in the regional and sub-regional climatic scales in the state of Rio Grande do Sul, based on the human thermal comfort zoning for pattern-years ranked as rainier, rainy and less one. To find those results, it was necessary to use a climatic database of the National Institute of Meteorology (INMET), under which it undertook the construction of the database, which indexes Effective Temperature with Wind (VTE) have been allocated for autumn and winter seasons, and the index of Resultant Temperature (RT) for the spring and summer seasons only one. The tracks of thermal sensation were defined from the classes developed by Fanger (1972) and adapted to Sao Paulo capital for Maia and Goncalves (2002). After scanning data, it was possible to found that in autumn, summer and spring seasons, these ones showed up as the seasons in which the determination of thermal sensation tracks in the study area were strongly influenced by climatic controls, such as altitude, continentality and maritimidade, meanwhile the winter season showed a strong influence of regional atmospheric circulation and dynamic.

BIOCLIMATIC REGIONALIZATION OF RIO GRANDE DO SUL: A STUDY OF HUMAN THERMAL COMFORT IN REGIONAL AND SUB-REGIONAL CLIMATIC SCALE

This study concerns in to evaluate the thermal comfort for the Rio Grande do Sul, from a zoning of human thermal comfort for the establishment of a climate regionalization for the State. So, meteorological data such as air temperature, relative humidity and wind speed were collected for a period of 30 years (1981-2010) and they were analyzed, also settling the definition of three pattern-years to a more precise analysis. The data collected were subjected to the calculation of thermal comfort indices of Effective Temperature with wind (VTE) and Resultant Temperature (TE), which were spatially and generated zoning of thermal comfort for the study area. The results showed climate regions more suitable for human thermal comfort influenced by regional atmospheric dynamics, as well as the physical attributes of these areas during the four seasons.