Identificação do fenômeno de ilha de calor em cidade de pequeno porte: estudo de caso de Três Rios/RJ, Brasil

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...

Descripción completa

Detalles Bibliográficos
Autores: Neves Silva, Yuri Matheus, Silva, Helder Martins, de Andrade Silva, Raiany Dias, Marques, Eduardo Duarte, de Oliveira Gomes, Olga Venimar
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2021
País:Brasil
Institución:Associação Brasileira de Engenharia Sanitária e Ambiental (ABES)
Repositorio:Revista Brasileira de Ciências Ambientais (Online)
Idioma:inglés
OAI Identifier:oai:ojs.www.rbciamb.com.br:article/1001
Acceso en línea:https://www.rbciamb.com.br/Publicacoes_RBCIAMB/article/view/1001
Access Level:acceso abierto
Palabra clave:calor antropogênico, cidade de pequeno porte, magnitude térmica, anomalia térmica
anthropogenic heat, small town, thermal magnitude, thermal anomaly
anthropogenic heat; small town; thermal magnitude; thermal anomaly.
Descripción
Sumario: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.