Green space equity;
Urban heat island;
Land surface temperature;
Gini coefficient;
Dongguan city;
LAND-SURFACE TEMPERATURE;
REMOTE-SENSING DATA;
THERMAL ENVIRONMENT;
PATTERN;
CITY;
DYNAMICS;
IMPACT;
CONFIGURATION;
RETRIEVAL;
DONGGUAN;
D O I:
10.1016/j.scitotenv.2022.156687
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
The role of urban green space (UGS) in mitigating the urban heat island (UHI) effect has been demonstrated in a growing body of literature. However, the potential influence of the spatial equity of UGS distribution on the UHI effect has largely been overlooked. The present study aims to identify this potential influence using the spatial equity of UGS and the land surface temperature (LST) as measures of UGS spatial distribution and UHIs, respectively. A comprehensive spatial distribution map of UGS was generated by combining the UGS coverage fraction data within urban impervious pixels and the green cover data outside urban impervious pixels. Then, the spatial equity of UGS distribution across all urban impervious pixels was determined using the Gini coefficient. In addition, an LST map was derived using the thermal infrared spectral bands of Landsat 8 OLI/TIRS products. A case study of Dongguan, a highly urbanized city in China, showed that (1) the distribution of both UGS and LSTs were spatially aggregated in all the towns of the city, (2) the LST of urban impervious pixels was negatively correlated with the area of surrounding UGS, and (3) the Gini coefficient of UGS was positively correlated with the proportion of hot and cool areas, but negatively correlated with the proportion of medium hot and medium-cool areas. These findings indicate that increasing the amount of UGS is beneficial to the reduction of urban average LSTs, while promoting the spatial equity of UGS distribution is conducive to reducing the spatial aggregation of LSTs within urban areas, thereby improving the overall urban thermal environment. Therefore, as a nature based solution, promoting the spatial equity of UGS distribution could enhance the overall cooling effect of UGS more effectively at the city scale, and thus further underpin the sustainable development of the urban environment.
机构:
China Metrol Adm Training Ctr, Beijing, Peoples R China
China Meteorol Adm, Inst Urban Meteorol, Beijing, Peoples R ChinaChina Metrol Adm Training Ctr, Beijing, Peoples R China
Yang Ping
Xiao Zi-Niu
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机构:
Chinese Acad Sci, Inst Atmospher Phys, Beijing, Peoples R ChinaChina Metrol Adm Training Ctr, Beijing, Peoples R China
Xiao Zi-Niu
Ye Meng-Shu
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机构:
China Metrol Adm Training Ctr, Beijing, Peoples R ChinaChina Metrol Adm Training Ctr, Beijing, Peoples R China
机构:
China Metrological Administration Training Center
Institute of Urban Meteorology, China Meteorological AdministrationChina Metrological Administration Training Center
YANG Ping
XIAO Zi-Niu
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机构:
Institute of Atmospheric Physics, Chinese Academy of SciencesChina Metrological Administration Training Center
XIAO Zi-Niu
YE Meng-Shu
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h-index: 0
机构:
China Metrological Administration Training CenterChina Metrological Administration Training Center
机构:
CMA Earth System Modeling and Prediction Centre,China Meteorological Administration (CMA)
State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences,China Meteorological AdministrationCMA Earth System Modeling and Prediction Centre,China Meteorological Administration (CMA)
Yonghong LIU
Yongming XU
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机构:
School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science & TechnologyCMA Earth System Modeling and Prediction Centre,China Meteorological Administration (CMA)
Yongming XU
Yeping ZHANG
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机构:
National Satellite Meteorological Centre,China Meteorological AdministrationCMA Earth System Modeling and Prediction Centre,China Meteorological Administration (CMA)
Yeping ZHANG
Xiuzhen HAN
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机构:
National Satellite Meteorological Centre,China Meteorological AdministrationCMA Earth System Modeling and Prediction Centre,China Meteorological Administration (CMA)
Xiuzhen HAN
Fuzhong WENG
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机构:
CMA Earth System Modeling and Prediction Centre,China Meteorological Administration CMACMA Earth System Modeling and Prediction Centre,China Meteorological Administration (CMA)
Fuzhong WENG
Chunyi XUAN
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机构:
Beijing Municipal Climate Centre,Beijing Meteorological ServiceCMA Earth System Modeling and Prediction Centre,China Meteorological Administration (CMA)
Chunyi XUAN
Wenjun SHU
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机构:
Beijing Municipal Climate Centre,Beijing Meteorological ServiceCMA Earth System Modeling and Prediction Centre,China Meteorological Administration (CMA)