干旱区生态环境知识资源中心(Arid): A Geographically Weighted Regression Approach to Understanding Urbanization Impacts on Urban Warming and Cooling: A Case Study of Las Vegas

Arid

DOI	10.3390/rs12020222
	A Geographically Weighted Regression Approach to Understanding Urbanization Impacts on Urban Warming and Cooling: A Case Study of Las Vegas
	Wang, Zhe 1; Fan, Chao 1; Zhao, Qunshan 2; Myint, Soe Win 3
通讯作者	Fan, Chao
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2020
卷号	12 期号:2
英文摘要	A surface urban heat island (SUHI) effect is one of the most significant consequences of urbanization. Great progress has been made in evaluating the SUHI with cross-sectional studies performed in a number of cities across the globe. Few studies; however, have focused on the spatiotemporal changes in an area over a long period of time. Using multi-temporal remote sensing data sets, this study examined the spatiotemporal changes of the SUHI intensity in Las Vegas, Nevada, over a 15-year period from 2001 to 2016. We applied the geographically weighted regression (GWR) and advanced statistical approaches to investigating the SUHI variation in relation to several important biophysical indicators in the region. The results show that (1) Las Vegas had experienced a significant increase in the SUHI over the 15 years, (2) Vegetation and large and small water bodies in the city can help mitigate the SUHI effect and the cooling effect of vegetation had increased continuously from 2001 to 2016, (3) An urban heat sink (UHS) was identified in developed areas with low to moderate intensity, and (4) Increased surface temperatures were mainly driven by the urbanization-induced land conversions occurred over the 15 years. Findings from this study will inspire thoughts on practical guidelines for SUHI mitigation in a fast-growing desert city.
英文关键词	surface urban heat island geographically weighted regression surface urban heat sink urbanization Las Vegas
类型	Article
语种	英语
国家	USA ; Scotland
开放获取类型	Green Accepted, gold
收录类别	SCI-E ; SSCI
WOS记录号	WOS:000515569800021
WOS关键词	LAND-SURFACE TEMPERATURE ; HEAT-ISLAND ; MITIGATION STRATEGIES ; THERMAL COMFORT ; GREEN SPACE ; VEGETATION ; PHOENIX ; INDEX ; MICROCLIMATES ; DETERMINANTS
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
来源机构	Arizona State University
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/315408
作者单位	1.Univ Idaho, Dept Geog, Moscow, ID 83844 USA; 2.Univ Glasgow, Sch Social & Polit Sci, Urban Big Data Ctr, Glasgow G12 8RZ, Lanark, Scotland; 3.Arizona State Univ, Sch Geog Sci & Urban Planning, Spatial Anal Res Ctr, Tempe, AZ 85287 USA
推荐引用方式 GB/T 7714	Wang, Zhe,Fan, Chao,Zhao, Qunshan,et al. A Geographically Weighted Regression Approach to Understanding Urbanization Impacts on Urban Warming and Cooling: A Case Study of Las Vegas[J]. Arizona State University,2020,12(2).
APA	Wang, Zhe,Fan, Chao,Zhao, Qunshan,&Myint, Soe Win.(2020).A Geographically Weighted Regression Approach to Understanding Urbanization Impacts on Urban Warming and Cooling: A Case Study of Las Vegas.REMOTE SENSING,12(2).
MLA	Wang, Zhe,et al."A Geographically Weighted Regression Approach to Understanding Urbanization Impacts on Urban Warming and Cooling: A Case Study of Las Vegas".REMOTE SENSING 12.2(2020).