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Multicriteria Spatial Modeling: Methodological Contribution to the Analysis of Atmospheric and Surface Heat Islands in Presidente Prudente, Brazil

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Author(s):
Frasca Teixeira, Danielle Cardozo ; de Costa Trindade Amorim, Margarete Cristiane
Total Authors: 2
Document type: Journal article
Source: CLIMATE; v. 10, n. 4, p. 15-pg., 2022-04-01.
Abstract

Several studies demonstrate the potential of models for the representation of phenomena such as urban heat islands. This article aimed to analyze atmospheric heat islands (UHI ud ) by integrating primary air temperature data with spatial information such as land use and relief from a multicriteria model based on multiple linear regression. Furthermore, we compared the measured and estimated air temperature at 11 p.m. with the surface temperature at 10:51 p.m. (local time). These temperatures were obtained through the thermal band of the Landsat 8 satellite considering extraction points of interest in Presidente Prudente city, Brazil. The multicriteria model showed reliability in UHIucl spatialization, reaching the confidence interval (p-value <= 0.05). The model proves that urban surface materials are the main energy sources modulating heat transfer to the atmosphere, while vegetation has a temperature-reducing effect. Precise mappings such as the one proposed here are relevant for the formulation of measures that support decision-making by public authorities. These mappings aim at urban planning that is resilient to the effects of urban climate and can be replicated in other realities. (AU)

FAPESP's process: 15/50439-4 - Diagnosis and analysis of the daily evolution of urban heat islands in mid sized cities, in tropical and temperate climates
Grantee:Margarete Cristiane de Costa Trindade Amorim
Support Opportunities: Regular Research Grants
FAPESP's process: 14/16350-3 - Diagnosis and analysis of the daily evolution of urban heat islands in mid-sized cities, in tropical and temperate climates
Grantee:Margarete Cristiane de Costa Trindade Amorim
Support Opportunities: Regular Research Grants