Impacts of the Urban Spatial Landscape in Beijing on Surface and Canopy Urban Heat Islands

作     者：Yonghong LIU Yongming XU Yeping ZHANG Xiuzhen HAN Fuzhong WENG Chunyi XUAN Wenjun SHU Yonghong LIU;Yongming XU;Yeping ZHANG;Xiuzhen HAN;Fuzhong WENG;Chunyi XUAN;Wenjun SHU

作者机构：CMA Earth System Modeling and Prediction CentreChina Meteorological Administration(CMA)Beijing 100081 State Key Laboratory of Severe WeatherChinese Academy of Meteorological SciencesChina Meteorological AdministrationBeijing 100081 School of Remote Sensing and Geomatics EngineeringNanjing University of Information Science&TechnologyNanjing 210044 National Satellite Meteorological CentreChina Meteorological AdministrationBeijing 100081 Beijing Municipal ClimateCentreBeijing Meteorological ServiceBeijing 100089 

出 版 物：《Journal of Meteorological Research》 (气象学报（英文版）)

年 卷 期：2022年第36卷第6期

页      面：882-899页

核心收录：

学科分类：12[管理学] 1204[管理学-公共管理] 07[理学] 08[工学] 070602[理学-大气物理学与大气环境] 081303[工学-城市规划与设计(含：风景园林规划与设计）] 0706[理学-大气科学] 0813[工学-建筑学] 0833[工学-城乡规划学] 083302[工学-城乡规划与设计] 

基　　金：Supported by the National Natural Science Foundation of China (41871028) Opening Fund of National Data Center for Earth Observation Science (NODAOP2021004) Beijing Natural Science Fund (8192020) 

主　　题：surface urban heat island canopy urban heat island vegetation coverage albedo sky view factor building density Beijing 

摘      要：How does the urban spatial landscape(USL)pattern affect the land surface urban heat islands(SUHIs)and canopy urban heat islands(CUHIs)?Based on satellite and meteorological observations,this case study compares the impacts of the USL pattern on SUHI and CUHI in the central urban area(CUA)of Beijing using the satellite land-surface-temperature product and hourly temperature data from automatic meteorological stations from 2009 to *** USL metrics—building height(BH),building density(BD),standard deviation of building height(BSD),floor area ratio(FAR),frontal area index(FAI),roughness length(RL),sky view factor(SVF),urban fractal dimension(FD),vegetation coverage(VC),impervious coverage(IC),and albedo(AB)—with a 500-m spatial resolution in the CUA are extracted for comparative *** results show that SUHI is higher than CUHI at night,and SUHI is only consistent with CUHI at spatial-temporal scales at night,particularly in ***,all 11 metrics are strongly correlated with both the SUHI and CUHI at night,with stronger correlation between most metrics and ***,AB,and SVF have the greatest impact on both the SUHI and *** SUHI and CUHI values tend to appear in areas with BD≥0.26,VC≤0.09,AB≤0.09,and SVF≤*** summer,most metrics have a greater impact on the SUHI than CUHI;the opposite is observed in *** variation is affected primarily by VC in summer and by VC and AB in winter,which is different for the CUHI *** collective contribution of all 11metrics to SUHI spatial variation in summer(61.8%)is higher than that to CUHI;however,the opposite holds in winter and for the entire year,where the cumulative contribution of the factors accounts for 66.6%and 49.6%,respectively,of the SUHI variation.