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Surface Urban Heat Islands in Belo Horizonte, Manaus, Salvador Bahia Using Remote Sensing and the Weather Research and Forecasting Modeling
 
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1
Universidad Nacional Autónoma de Tayacaja Daniel Hernandez Morillo, Escuela Profesional de Ingeniería Forestal y Ambiental, Tayacaja, Perú
 
2
Universidade Federal do Espirito Santo, Department of Environmental Engineering, Vitoria, ES, Brazil
 
3
Instituto Geofísico del Perú, Calle Badajoz, 169, 15498 Urb. Mayorazgo IV Etapa, Ate, Lima, Perú
 
4
Universidad Nacional del Centro del Perú, Facultad de Ingeniería Civil, Huancayo, Perú
 
5
Universidad Nacional Intercultural de la Selva Central Juan Santos Atahualpa, Escuela Profesional de Ingeniería Ambiental, Chanchamayo, Perú
 
6
Universidad Continental, Facultad de Ingeniería, Huancayo, Perú
 
7
Universidad Tecnológica del Perú. Facultad de Ingeniería de Sistemas, Av. Circunvalación 449, 12002 El Tambo, Huancayo, Perú
 
8
Instituto de Geociências, Departamento de Meteorologia, Universidade Federal do Rio de Janeiro, Rua Athos da Silveira Ramos 274, Cidade Universitária, Ilha do Fundão, 21.941-916, Rio de Janeiro, RJ, Brasil
 
9
Centro Universitario SENAI CIMATEC, Salvador, Brazil
 
 
Corresponding author
Julio Angeles Suazo   

Universidad Nacional Autónoma de Tayacaja Daniel Hernandez Morillo, Escuela Profesional de Ingeniería Forestal y Ambiental, Tayacaja, Perú
 
 
Nataly Angeles Suazo   

Universidad Tecnológica del Perú. Facultad de Ingeniería de Sistemas, Av. Circunvalación 449, 12002 El Tambo, Huancayo, Peru
 
 
J. Ecol. Eng. 2024; 25(7):163-177
 
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ABSTRACT
The formation of urban heat islands is one of the effects related to urbanization, as it directly affects thermal comfort. There are several methodologies for its estimation, we can highlight the Gaussian (the best known), whose limitation focuses on the analysis of Gaussian surfaces. When the surface presents cases of poly-nucleated conglomerates, another type of approach (non-Gaussian) is recommended, such as the Quantile method. Therefore, this work seeks to estimate the intensity of surface urban heat islands (SUHI) in the long term (2001 - 2016) with both methodologies (Gaussians and Quantiles). Based on satellite data and WRF meteorological simulation, both with a special resolution of 5km, for the metropolitan areas of Belo Horizonte, Manaus and Salvador, located in Brazil. Both methods indicate the formation of intense heat islands in the hottest months in the 3 cities studied, with less monthly variation compared to the surface temperature of the Earth's surface.
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