Examining the Impact of Greenspace Patterns on Land Surface Temperature by Coupling LiDAR Data with a CFD Model
Understanding the link between greenspace patterns and land surface temperature is very important for mitigating the urban heat island (UHI) effect and is also useful for planners and decision-makers for providing a sustainable design for urban greenspace. Although coupling remote sensing data with...
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doaj-a1593f0eb0a047da8abc46a9a8dec0292020-11-24T20:59:11ZengMDPI AGSustainability2071-10502014-09-016106799681410.3390/su6106799su6106799Examining the Impact of Greenspace Patterns on Land Surface Temperature by Coupling LiDAR Data with a CFD ModelWeizhong Su0Yong Zhang1Yingbao Yang2Gaobin Ye3State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, No. 73 East Beijing Road, Nanjing 210008, ChinaSchool of Earth Sciences and Engineering, Hohai University, No. 1 Xikang Road, Nanjing 210098, ChinaSchool of Earth Sciences and Engineering, Hohai University, No. 1 Xikang Road, Nanjing 210098, ChinaState Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, No. 73 East Beijing Road, Nanjing 210008, ChinaUnderstanding the link between greenspace patterns and land surface temperature is very important for mitigating the urban heat island (UHI) effect and is also useful for planners and decision-makers for providing a sustainable design for urban greenspace. Although coupling remote sensing data with a computational fluid dynamics (CFD) model has widely been used to examine interactions between UHI and greenspace patterns, the paper aims to examine the impact of five theoretical models of greenspace patterns on land surface temperature based on the improvement of the accuracy of CFD modeling by the combination of LiDAR data with remote sensing images to build a 3D urban model. The simulated results demonstrated that the zonal pattern always had the obvious cooling effects when there are no large buildings or terrain obstacles. For ambient environments, the building or terrain obstacles and the type of greenspace have the hugest influence on mitigating the UHI, but the greenspace area behaves as having the least cooling effect. A dotted greenspace pattern shows the best cooling effect in the central area or residential district within a city, while a radial and a wedge pattern may result in a “cold source” for the urban thermal environment.http://www.mdpi.com/2071-1050/6/10/6799greenspace patternsland surface temperatureurban heat island (UHI)computational fluid dynamics (CFD) modelLiDAR data |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Weizhong Su Yong Zhang Yingbao Yang Gaobin Ye |
spellingShingle |
Weizhong Su Yong Zhang Yingbao Yang Gaobin Ye Examining the Impact of Greenspace Patterns on Land Surface Temperature by Coupling LiDAR Data with a CFD Model Sustainability greenspace patterns land surface temperature urban heat island (UHI) computational fluid dynamics (CFD) model LiDAR data |
author_facet |
Weizhong Su Yong Zhang Yingbao Yang Gaobin Ye |
author_sort |
Weizhong Su |
title |
Examining the Impact of Greenspace Patterns on Land Surface Temperature by Coupling LiDAR Data with a CFD Model |
title_short |
Examining the Impact of Greenspace Patterns on Land Surface Temperature by Coupling LiDAR Data with a CFD Model |
title_full |
Examining the Impact of Greenspace Patterns on Land Surface Temperature by Coupling LiDAR Data with a CFD Model |
title_fullStr |
Examining the Impact of Greenspace Patterns on Land Surface Temperature by Coupling LiDAR Data with a CFD Model |
title_full_unstemmed |
Examining the Impact of Greenspace Patterns on Land Surface Temperature by Coupling LiDAR Data with a CFD Model |
title_sort |
examining the impact of greenspace patterns on land surface temperature by coupling lidar data with a cfd model |
publisher |
MDPI AG |
series |
Sustainability |
issn |
2071-1050 |
publishDate |
2014-09-01 |
description |
Understanding the link between greenspace patterns and land surface temperature is very important for mitigating the urban heat island (UHI) effect and is also useful for planners and decision-makers for providing a sustainable design for urban greenspace. Although coupling remote sensing data with a computational fluid dynamics (CFD) model has widely been used to examine interactions between UHI and greenspace patterns, the paper aims to examine the impact of five theoretical models of greenspace patterns on land surface temperature based on the improvement of the accuracy of CFD modeling by the combination of LiDAR data with remote sensing images to build a 3D urban model. The simulated results demonstrated that the zonal pattern always had the obvious cooling effects when there are no large buildings or terrain obstacles. For ambient environments, the building or terrain obstacles and the type of greenspace have the hugest influence on mitigating the UHI, but the greenspace area behaves as having the least cooling effect. A dotted greenspace pattern shows the best cooling effect in the central area or residential district within a city, while a radial and a wedge pattern may result in a “cold source” for the urban thermal environment. |
topic |
greenspace patterns land surface temperature urban heat island (UHI) computational fluid dynamics (CFD) model LiDAR data |
url |
http://www.mdpi.com/2071-1050/6/10/6799 |
work_keys_str_mv |
AT weizhongsu examiningtheimpactofgreenspacepatternsonlandsurfacetemperaturebycouplinglidardatawithacfdmodel AT yongzhang examiningtheimpactofgreenspacepatternsonlandsurfacetemperaturebycouplinglidardatawithacfdmodel AT yingbaoyang examiningtheimpactofgreenspacepatternsonlandsurfacetemperaturebycouplinglidardatawithacfdmodel AT gaobinye examiningtheimpactofgreenspacepatternsonlandsurfacetemperaturebycouplinglidardatawithacfdmodel |
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