Spatial Variation of Urban Thermal Environment and Its Relation to Green Space Patterns: Implication to Sustainable Landscape Planning

The rapid changes of land covers in urban areas are one of major environmental concerns because of their environmental impacts. Such land cover changes include the transformation of green space to impervious surface, and the increase of land surface temperature (LST). The objective of this study was...

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Main Authors: Zhijie Wu, Yixin Zhang
Format: Article
Language:English
Published: MDPI AG 2018-06-01
Series:Sustainability
Subjects:
Online Access:http://www.mdpi.com/2071-1050/10/7/2249
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spelling doaj-530f7da7b4b54f30b677c31258e1b3c82020-11-24T23:31:02ZengMDPI AGSustainability2071-10502018-06-01107224910.3390/su10072249su10072249Spatial Variation of Urban Thermal Environment and Its Relation to Green Space Patterns: Implication to Sustainable Landscape PlanningZhijie Wu0Yixin Zhang1XJTLU-Suzhou Urban & Environment Research Institute, Suzhou 215200, Jiangsu, ChinaXJTLU-Suzhou Urban & Environment Research Institute, Suzhou 215200, Jiangsu, ChinaThe rapid changes of land covers in urban areas are one of major environmental concerns because of their environmental impacts. Such land cover changes include the transformation of green space to impervious surface, and the increase of land surface temperature (LST). The objective of this study was to examine the spatial variation of urban landscape composition and configuration, as well as their influences on LST in Suzhou City, China. Landsat-8 image was processed to extract land covers and retrieve LSTs that were used to study relationship between spatial variation of LST and land covers. The results indicated that there was a significantly negative correlation between mean LST and green space coverage along the urban–rural gradients. With every 10% increased green space coverage, the mean LST drop was about 1.41 °C. A grid-base analysis performed at various grid sizes indicated that an increase in the percentage of surface water body area has a greater cooling effect of the mean LST than a vegetation increase. The mean LST had a significantly negative correlation with both the shape and aggregation indexes of the green space patches. Our results suggest that the sustainable landscape planning of green space in a typical city with a large water area should include both the vegetation and the surface water covers. The increased percentage of vegetation and surface water covers had the greatest cooling effect on an urban thermal environment, which is one of the ecosystem services that green space provides. A dense distribution of green space patches with complex shapes should be considered in urban sustainable landscape planning for increasing ecosystem services.http://www.mdpi.com/2071-1050/10/7/2249land surface temperatureimpervious surfacegreen spaceaggregation indexshape indexecosystem services
collection DOAJ
language English
format Article
sources DOAJ
author Zhijie Wu
Yixin Zhang
spellingShingle Zhijie Wu
Yixin Zhang
Spatial Variation of Urban Thermal Environment and Its Relation to Green Space Patterns: Implication to Sustainable Landscape Planning
Sustainability
land surface temperature
impervious surface
green space
aggregation index
shape index
ecosystem services
author_facet Zhijie Wu
Yixin Zhang
author_sort Zhijie Wu
title Spatial Variation of Urban Thermal Environment and Its Relation to Green Space Patterns: Implication to Sustainable Landscape Planning
title_short Spatial Variation of Urban Thermal Environment and Its Relation to Green Space Patterns: Implication to Sustainable Landscape Planning
title_full Spatial Variation of Urban Thermal Environment and Its Relation to Green Space Patterns: Implication to Sustainable Landscape Planning
title_fullStr Spatial Variation of Urban Thermal Environment and Its Relation to Green Space Patterns: Implication to Sustainable Landscape Planning
title_full_unstemmed Spatial Variation of Urban Thermal Environment and Its Relation to Green Space Patterns: Implication to Sustainable Landscape Planning
title_sort spatial variation of urban thermal environment and its relation to green space patterns: implication to sustainable landscape planning
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2018-06-01
description The rapid changes of land covers in urban areas are one of major environmental concerns because of their environmental impacts. Such land cover changes include the transformation of green space to impervious surface, and the increase of land surface temperature (LST). The objective of this study was to examine the spatial variation of urban landscape composition and configuration, as well as their influences on LST in Suzhou City, China. Landsat-8 image was processed to extract land covers and retrieve LSTs that were used to study relationship between spatial variation of LST and land covers. The results indicated that there was a significantly negative correlation between mean LST and green space coverage along the urban–rural gradients. With every 10% increased green space coverage, the mean LST drop was about 1.41 °C. A grid-base analysis performed at various grid sizes indicated that an increase in the percentage of surface water body area has a greater cooling effect of the mean LST than a vegetation increase. The mean LST had a significantly negative correlation with both the shape and aggregation indexes of the green space patches. Our results suggest that the sustainable landscape planning of green space in a typical city with a large water area should include both the vegetation and the surface water covers. The increased percentage of vegetation and surface water covers had the greatest cooling effect on an urban thermal environment, which is one of the ecosystem services that green space provides. A dense distribution of green space patches with complex shapes should be considered in urban sustainable landscape planning for increasing ecosystem services.
topic land surface temperature
impervious surface
green space
aggregation index
shape index
ecosystem services
url http://www.mdpi.com/2071-1050/10/7/2249
work_keys_str_mv AT zhijiewu spatialvariationofurbanthermalenvironmentanditsrelationtogreenspacepatternsimplicationtosustainablelandscapeplanning
AT yixinzhang spatialvariationofurbanthermalenvironmentanditsrelationtogreenspacepatternsimplicationtosustainablelandscapeplanning
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