Julio Ángeles Suazo, G.Y.R. Aylas, Jose Luis Flores Rojas, Roberto Angeles Vasquez, C. Lavado-Meza, Leonel De la Cruz-Cerron, Nataly Angeles Suazo, H. Karam, Davidson Martins Moreira
{"title":"Surface Urban Heat Islands in Belo Horizonte, Manaus, Salvador Bahia Using Remote Sensing and the Weather Research and Forecasting Modeling","authors":"Julio Ángeles Suazo, G.Y.R. Aylas, Jose Luis Flores Rojas, Roberto Angeles Vasquez, C. Lavado-Meza, Leonel De la Cruz-Cerron, Nataly Angeles Suazo, H. Karam, Davidson Martins Moreira","doi":"10.12911/22998993/188081","DOIUrl":null,"url":null,"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 limita - tion 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) meteorologi - cal 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.","PeriodicalId":15652,"journal":{"name":"Journal of Ecological Engineering","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Ecological Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12911/22998993/188081","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
引用次数: 0
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 limita - tion 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) meteorologi - cal 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.
期刊介绍:
- Industrial and municipal waste management - Pro-ecological technologies and products - Energy-saving technologies - Environmental landscaping - Environmental monitoring - Climate change in the environment - Sustainable development - Processing and usage of mineral resources - Recovery of valuable materials and fuels - Surface water and groundwater management - Water and wastewater treatment - Smog and air pollution prevention - Protection and reclamation of soils - Reclamation and revitalization of degraded areas - Heavy metals in the environment - Renewable energy technologies - Environmental protection of rural areas - Restoration and protection of urban environment - Prevention of noise in the environment - Environmental life-cycle assessment (LCA) - Simulations and computer modeling for the environment