Identification of the urban heat islands phenomenon in a small city: the study case of Três Rios/RJ, Brazil

Yuri Matheus Neves Silva; Helder Martins Silva; Raiany Dias de Andrade Silva; Eduardo Duarte Marques; Olga Venimar de Oliveira Gomes

doi:10.5327/Z217694781001

Authors

Yuri Matheus Neves Silva Universidade Federal Rural do Rio de Janeiro (UFRRJ) - Brazil https://orcid.org/0000-0002-6452-8061
Helder Martins Silva Universidade Federal do Rio de Janeiro (UFRJ) - Brazil https://orcid.org/0000-0002-6202-8338
Raiany Dias de Andrade Silva University of Alberta - Canada https://orcid.org/0000-0002-5595-0041
Eduardo Duarte Marques Serviço Geológico do Brasil (CPRM) - Brazil https://orcid.org/0000-0003-1133-9408
Olga Venimar de Oliveira Gomes Universidade Federal Rural do Rio de Janeiro (UFRRJ) - Brazil https://orcid.org/0000-0002-2923-1086

DOI:

https://doi.org/10.5327/Z217694781001

Keywords:

anthropogenic heat; small town; thermal magnitude; thermal anomaly.

Abstract

The phenomenon of urban heat islands (UHI) is caused by the increase in temperatures of an urban area as a result of the development of human activities within that area, this phenomenon is usually studied in medium and large cities. This study aims to verify if the phenomenon of UHI occurs in the municipality of Três Rios – RJ, a small sized city. This study included the use of mobile transect, through pre-established data collection points/stations. Five data collection points were selected, from which one was included in a rural area, one in the Parque Natural Municipal (Urban Park, within the city), and three points within the urbanized area. The equipment used was the Brunton® / ADC PRO handheld weather station. The data collection period ranged from September 2018 until July 2019, which included the four seasons. Measurements were taken at 6:00, 12:00, 15:00, 18:00, and 21:00h, in alternate days during the study period. Considering the temperature measurements, two different indicators of thermal variability were used. Strong magnitude heat islands were detected, taking into consideration the relevant variation of maximum temperatures observed in the urban area when compared to the rural area. The results indicate the most affected populations to be the ones located within urban areas, mostly individuals under socioeconomic vulnerability. The results obtained can be used as support for the development of strategies to minimize the thermal discomfort to populations exposed to the influence of higher magnitude urban heat islands.

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