Surface Urban Heat Islands in Belo Horizonte, Manaus, Salvador Bahia Using Remote Sensing and the Weather Research and Forecasting Modeling

• Autorzy: Suazo Julio Angeles , Aylas Georgynio Rosales , Rojas Jose Luis Flores , Vasquez Roberto Angeles , Lavado-Meza Carmencita , De la Cruz-Cerrón Leonel , Suazo Nataly Angeles , Karam Hugo Abi , Moreira Davidson Martins

Identyfikatory

DOI

10.12911/22998993/188081

• Języki publikacji: EN

Abstrakty

EN

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 the Weather Research and Forecasting (WRF) meteorological simulation, both with a special resolution of 5 km, 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.

Słowa kluczowe

EN

surface heat island; megacities; Brazil; WRF

• Wydawca: Polskie Towarzystwo Inżynierii Ekologicznej ; Lublin University of Technology
• Czasopismo: Journal of Ecological Engineering
• Rocznik: 2024
• Tom: Vol. 25, nr 7
• Strony: 163--177
• Opis fizyczny: Bibliogr. 58 poz., rys.

Twórcy

autor

Suazo Julio Angeles

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

• https://orcid.org/0000-0001-8327-9032

autor

Aylas Georgynio Rosales

• Universidade Federal do Espirito Santo, Department of Environmental Engineering, Vitoria, ES, Brazil

autor

Rojas Jose Luis Flores

• Instituto Geofísico del Perú, Calle Badajoz, 169, 15498 Urb. Mayorazgo IV Etapa, Ate, Lima, Perú

autor

Vasquez Roberto Angeles

• Universidad Nacional del Centro del Perú, Facultad de Ingeniería Civil, Huancayo, Perú

autor

Lavado-Meza Carmencita

• Universidad Nacional Intercultural de la Selva Central Juan Santos Atahualpa, Escuela Profesional de Ingeniería Ambiental, Chanchamayo, Perú

autor

De la Cruz-Cerrón Leonel

• Universidad Continental, Facultad de Ingeniería, Huancayo, Perú

autor

Suazo Nataly Angeles

• Universidad Tecnológica del Perú. Facultad de Ingeniería de Sistemas, Av. Circunvalación 449, 12002 El Tambo, Huancayo, Perú

autor

Karam Hugo Abi

• 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

autor

Moreira Davidson Martins

• Centro Universitario Senai Cimatec, Salvador, Brazil

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