<b>Quantifying the effect of waterways and green areas on the surface temperature
The cooling effects of urban parks and green areas, which form the “Park Cool Island” (PCI) can help decrease the surface temperature and mitigate the effects of urban heat islands (UHI). Therefore, the objective of this research was to know the temporal variability of PCI intensity, as well as anal...
Main Author: | |
---|---|
Format: | Article |
Language: | English |
Published: |
Universidade Estadual de Maringá
2017-02-01
|
Series: | Acta Scientiarum: Technology |
Subjects: | |
Online Access: | http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/30469 |
id |
doaj-2a7ac78cf66d408ebea6716a287e7259 |
---|---|
record_format |
Article |
spelling |
doaj-2a7ac78cf66d408ebea6716a287e72592020-11-25T00:27:51ZengUniversidade Estadual de MaringáActa Scientiarum: Technology1806-25631807-86642017-02-01391899610.4025/actascitechnol.v39i1.3046914600<b>Quantifying the effect of waterways and green areas on the surface temperatureElis Dener Lima Alves0Instituto Federal de Educação, Ciência e Tecnologia GoianoThe cooling effects of urban parks and green areas, which form the “Park Cool Island” (PCI) can help decrease the surface temperature and mitigate the effects of urban heat islands (UHI). Therefore, the objective of this research was to know the temporal variability of PCI intensity, as well as analyze the factors that determines it and propose an equation to predict the PCI intensity in Iporá, Goiás State, Brazil. To this purpose, the PCI intensity values were obtained using the Landsat-8 satellite (band 10), and then correlated with the NDVI and the LAI, in which proposes equations through multiple linear regression to estimate the PCI intensity. The results indicated that: 1) the greater the distance of the natural area, greater the surface temperature; 2) there is a great seasonality in PCI, in which the intensity of PCI is much higher in the spring (or close to it); 3) the relationship between NDVI and LAI variables, showed good coefficients of determination; 4) the equations for the buffer of 200 and 500 m, had low RMSE with high coefficients of determination (r2 = 0.924 and r2 = 0.957 respectively).http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/30469urban heat island (UHI)Park Cool Island (PCI)surface temperature. |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Elis Dener Lima Alves |
spellingShingle |
Elis Dener Lima Alves <b>Quantifying the effect of waterways and green areas on the surface temperature Acta Scientiarum: Technology urban heat island (UHI) Park Cool Island (PCI) surface temperature. |
author_facet |
Elis Dener Lima Alves |
author_sort |
Elis Dener Lima Alves |
title |
<b>Quantifying the effect of waterways and green areas on the surface temperature |
title_short |
<b>Quantifying the effect of waterways and green areas on the surface temperature |
title_full |
<b>Quantifying the effect of waterways and green areas on the surface temperature |
title_fullStr |
<b>Quantifying the effect of waterways and green areas on the surface temperature |
title_full_unstemmed |
<b>Quantifying the effect of waterways and green areas on the surface temperature |
title_sort |
<b>quantifying the effect of waterways and green areas on the surface temperature |
publisher |
Universidade Estadual de Maringá |
series |
Acta Scientiarum: Technology |
issn |
1806-2563 1807-8664 |
publishDate |
2017-02-01 |
description |
The cooling effects of urban parks and green areas, which form the “Park Cool Island” (PCI) can help decrease the surface temperature and mitigate the effects of urban heat islands (UHI). Therefore, the objective of this research was to know the temporal variability of PCI intensity, as well as analyze the factors that determines it and propose an equation to predict the PCI intensity in Iporá, Goiás State, Brazil. To this purpose, the PCI intensity values were obtained using the Landsat-8 satellite (band 10), and then correlated with the NDVI and the LAI, in which proposes equations through multiple linear regression to estimate the PCI intensity. The results indicated that: 1) the greater the distance of the natural area, greater the surface temperature; 2) there is a great seasonality in PCI, in which the intensity of PCI is much higher in the spring (or close to it); 3) the relationship between NDVI and LAI variables, showed good coefficients of determination; 4) the equations for the buffer of 200 and 500 m, had low RMSE with high coefficients of determination (r2 = 0.924 and r2 = 0.957 respectively). |
topic |
urban heat island (UHI) Park Cool Island (PCI) surface temperature. |
url |
http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/30469 |
work_keys_str_mv |
AT elisdenerlimaalves bquantifyingtheeffectofwaterwaysandgreenareasonthesurfacetemperature |
_version_ |
1725338075639316480 |