The Urban Heat Island Effect and the Role of Vegetation to Address the Negative Impacts of Local Climate Changes in a Small Brazilian City
This study analyzes the influence of urban-geographical variables on determining heat islands and proposes a model to estimate and spatialize the maximum intensity of urban heat islands (UHI). Simulations of the UHI based on the increase of normalized difference vegetation index (NDVI), using multip...
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doaj-5742a538bbc546848d807a0b3a501abc2020-11-24T22:23:07ZengMDPI AGAtmosphere2073-44332017-02-01821810.3390/atmos8020018atmos8020018The Urban Heat Island Effect and the Role of Vegetation to Address the Negative Impacts of Local Climate Changes in a Small Brazilian CityElis Dener Lima Alves0António Lopes1Instituto Federal de Educação, Ciência e Tecnologia, Ceres 76300-000, BrazilInstitute of Geography and Spatial Planning (IGOT-ULisboa), Center of Geographical Studies—Climate Change and Environmental Systems Research Group, Universidade de Lisboa, 1649-003 Lisboa, PortugalThis study analyzes the influence of urban-geographical variables on determining heat islands and proposes a model to estimate and spatialize the maximum intensity of urban heat islands (UHI). Simulations of the UHI based on the increase of normalized difference vegetation index (NDVI), using multiple linear regression, in Iporá (Brazil) are also presented. The results showed that the UHI intensity of this small city tended to be lower than that of bigger cities. Urban geometry and vegetation (UI and NDVI) were the variables that contributed the most to explain the variability of the maximum UHI intensity. It was observed that areas located in valleys had lower thermal values, suggesting a cool island effect. With the increase in NDVI in the central area of a maximum UHI, there was a significant decrease in its intensity and size (a 45% area reduction). It is noteworthy that it was possible to spatialize the UHI to the whole urban area by using multiple linear regression, providing an analysis of the urban set from urban-geographical variables and thus performing prognostic simulations that can be adapted to other small tropical cities.http://www.mdpi.com/2073-4433/8/2/18urban climate changeUHIurban microclimatesmitigation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Elis Dener Lima Alves António Lopes |
spellingShingle |
Elis Dener Lima Alves António Lopes The Urban Heat Island Effect and the Role of Vegetation to Address the Negative Impacts of Local Climate Changes in a Small Brazilian City Atmosphere urban climate change UHI urban microclimates mitigation |
author_facet |
Elis Dener Lima Alves António Lopes |
author_sort |
Elis Dener Lima Alves |
title |
The Urban Heat Island Effect and the Role of Vegetation to Address the Negative Impacts of Local Climate Changes in a Small Brazilian City |
title_short |
The Urban Heat Island Effect and the Role of Vegetation to Address the Negative Impacts of Local Climate Changes in a Small Brazilian City |
title_full |
The Urban Heat Island Effect and the Role of Vegetation to Address the Negative Impacts of Local Climate Changes in a Small Brazilian City |
title_fullStr |
The Urban Heat Island Effect and the Role of Vegetation to Address the Negative Impacts of Local Climate Changes in a Small Brazilian City |
title_full_unstemmed |
The Urban Heat Island Effect and the Role of Vegetation to Address the Negative Impacts of Local Climate Changes in a Small Brazilian City |
title_sort |
urban heat island effect and the role of vegetation to address the negative impacts of local climate changes in a small brazilian city |
publisher |
MDPI AG |
series |
Atmosphere |
issn |
2073-4433 |
publishDate |
2017-02-01 |
description |
This study analyzes the influence of urban-geographical variables on determining heat islands and proposes a model to estimate and spatialize the maximum intensity of urban heat islands (UHI). Simulations of the UHI based on the increase of normalized difference vegetation index (NDVI), using multiple linear regression, in Iporá (Brazil) are also presented. The results showed that the UHI intensity of this small city tended to be lower than that of bigger cities. Urban geometry and vegetation (UI and NDVI) were the variables that contributed the most to explain the variability of the maximum UHI intensity. It was observed that areas located in valleys had lower thermal values, suggesting a cool island effect. With the increase in NDVI in the central area of a maximum UHI, there was a significant decrease in its intensity and size (a 45% area reduction). It is noteworthy that it was possible to spatialize the UHI to the whole urban area by using multiple linear regression, providing an analysis of the urban set from urban-geographical variables and thus performing prognostic simulations that can be adapted to other small tropical cities. |
topic |
urban climate change UHI urban microclimates mitigation |
url |
http://www.mdpi.com/2073-4433/8/2/18 |
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