干旱区生态环境知识资源中心(Arid): Spatial heterogeneity of driving factors-induced impacts for global long-term surface urban heat island

Arid

DOI	10.1080/01431161.2023.2203343
	Spatial heterogeneity of driving factors-induced impacts for global long-term surface urban heat island
	Si, Menglin; Li, Zhao-Liang; Tang, Bo-Hui; Liu, Xiangyang; Nerry, Francoise
通讯作者	Li, ZL
来源期刊	INTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN	0143-1161
EISSN	1366-5901
出版年	2023
英文摘要	A series of empirical analytical tools have been adopted to investigate the driving mechanisms of surface urban heat islands (SUHI) on a global scale, among which spatial heterogeneity is yet to be fully elucidated. In this study, we investigated the spatial non-stationarity of the driving factors concerning surface properties, climate conditions, and urbanization processes for global long-term SUHI. First, the potential impact on SUHI was explored using global ordinary least squares regression. Geographically weighted regression (GWR) and multi-scale GWR (MGWR) from local perspectives were employed for comparison. The results show that the MGWR has the highest goodness of fit at 0.87, 0.73, 0.90, 0.74, 0.85, and 0.76 for annual day/night (AD/AN), summer day/night (SD/SN), and winter day/night (WD/WN) scales, respectively. Although both global and local schemes exhibit similar influencing magnitudes and signs on the SUHI, the MGWR is better at capturing spatial non-stationarity. Globally, for AD, AN, SD, SN, WD, and WN, the coefficients of the urban-rural vegetation index difference (Delta EVI) and surface albedo difference (Delta WSA), urban mean precipitation (MAP), wind speed (WS), population density (PD), and urban area (UA) are -0.50, +0.30, +0.16, +1.31, -0.03, and +0.03, respectively, at daytime, and -0.38, -0.33, -0.39, -0.10, +0.18, and +0.08, respectively, at night-time. Given the spatial heterogeneity of multiple factors, Delta EVI exhibits a strong mitigation effect on the SD SUHI especially in arid zones. The negative influence of Delta WSA on night-time SUHI demonstrates a strong latitudinal disparity and greater sensitivity in the equatorial zone. The positive correlations between MAP and AD/SD SUHIs have evident latitudinal and longitudinal variations. The mitigation effect of WS displayed distinct coastal amplification, especially in WD. In contrast, the PD and UA presented prominent positive impacts on night-time SUHI with less seasonal contrast.
英文关键词	Global surface urban heat island driving factors spatial heterogeneity seasonal variation day-night contrast
类型	Article ; Early Access
语种	英语
开放获取类型	Green Submitted
收录类别	SCI-E
WOS记录号	WOS:000972415000001
WOS关键词	GEOGRAPHICALLY WEIGHTED REGRESSION ; LOCAL BACKGROUND CLIMATE ; TEMPERATURE ; URBANIZATION ; INDIANAPOLIS ; TRENDS ; GROWTH ; MODIS ; MITIGATION ; POLLUTION
WOS类目	Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/397041
推荐引用方式 GB/T 7714	Si, Menglin,Li, Zhao-Liang,Tang, Bo-Hui,et al. Spatial heterogeneity of driving factors-induced impacts for global long-term surface urban heat island[J],2023.
APA	Si, Menglin,Li, Zhao-Liang,Tang, Bo-Hui,Liu, Xiangyang,&Nerry, Francoise.(2023).Spatial heterogeneity of driving factors-induced impacts for global long-term surface urban heat island.INTERNATIONAL JOURNAL OF REMOTE SENSING.
MLA	Si, Menglin,et al."Spatial heterogeneity of driving factors-induced impacts for global long-term surface urban heat island".INTERNATIONAL JOURNAL OF REMOTE SENSING (2023).