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Identifying Surface Urban Heat Island Drivers and Their Spatial Heterogeneity in China's 281 Cities: An Empirical Study Based on Multiscale Geographically Weighted Regression

文献类型：期刊论文

作者Niu, Lu6; Zhang, Zhengfeng6; Peng, Zhong1,2; Liang, Yingzi3; Liu, Meng5; Jiang, Yazhen1,2; Wei, Jing4; Tang, Ronglin1,2
刊名REMOTE SENSING
出版日期2021-11-01
卷号13期号:21页码:23
关键词SUHI MODIS driven factor spatial heterogeneity spatial scale land use
DOI10.3390/rs13214428
通讯作者Zhang, Zhengfeng(zhangzhengfeng@ruc.edu.cn)
英文摘要The spatially heterogeneous nature and geographical scale of surface urban heat island (SUHI) driving mechanisms remain largely unknown, as most previous studies have focused solely on their global performance and impact strength. This paper analyzes diurnal and nocturnal SUHIs in China based on the multiscale geographically weighted regression (MGWR) model for 2005, 2010, 2015, and 2018. Compared to results obtained using the ordinary least square (OLS) model, the MGWR model has a lower corrected Akaike information criterion value and significantly improves the model's coefficient of determination (OLS: 0.087-0.666, MGWR: 0.616-0.894). The normalized difference vegetation index (NDVI) and nighttime light (NTL) are the most critical drivers of daytime and nighttime SUHIs, respectively. In terms of model bandwidth, population and & UDelta;fine particulate matter are typically global variables, while & UDelta;NDVI, intercept (i.e., spatial context), and NTL are local variables. The nighttime coefficient of & UDelta;NDVI is significantly negative in the more economically developed southern coastal region, while it is significantly positive in northwestern China. Our study not only improves the understanding of the complex drivers of SUHIs from a multiscale perspective but also provides a basis for urban heat island mitigation by more precisely identifying the heterogeneity of drivers.
WOS关键词LOCAL BACKGROUND CLIMATE ; ENERGY-CONSUMPTION ; IMPACT ; URBANIZATION ; SCALE ; PATTERNS ; SIZE
资助项目National Natural Science Foundation of China[42077433] ; National Natural Science Foundation of China[71874196] ; Fundamental Research Funds for the Central Universities ; Research Funds of Renmin University of China[21XNH037]
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000719863400001
出版者MDPI
资助机构National Natural Science Foundation of China ; Fundamental Research Funds for the Central Universities ; Research Funds of Renmin University of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/167781]  
专题中国科学院地理科学与资源研究所
通讯作者Zhang, Zhengfeng
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Tianjin Univ, Coll Management & Econ, Tianjin 300072, Peoples R China
4.Univ Iowa, Dept Chem & Biochem Engn, Iowa Technol Inst, Ctr Global & Reg Environm Res, Iowa City, IA 52242 USA
5.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Key Lab Agr Remote Sensing, Minist Agr & Rural Affairs, Beijing 100081, Peoples R China
6.Renmin Univ China, Sch Publ Adm & Policy, Beijing 100872, Peoples R China
推荐引用方式
GB/T 7714		 Niu, Lu,Zhang, Zhengfeng,Peng, Zhong,et al. Identifying Surface Urban Heat Island Drivers and Their Spatial Heterogeneity in China's 281 Cities: An Empirical Study Based on Multiscale Geographically Weighted Regression[J]. REMOTE SENSING,2021,13(21):23.
APA Niu, Lu.,Zhang, Zhengfeng.,Peng, Zhong.,Liang, Yingzi.,Liu, Meng.,...&Tang, Ronglin.(2021).Identifying Surface Urban Heat Island Drivers and Their Spatial Heterogeneity in China's 281 Cities: An Empirical Study Based on Multiscale Geographically Weighted Regression.REMOTE SENSING,13(21),23.
MLA Niu, Lu,et al."Identifying Surface Urban Heat Island Drivers and Their Spatial Heterogeneity in China's 281 Cities: An Empirical Study Based on Multiscale Geographically Weighted Regression".REMOTE SENSING 13.21(2021):23.

入库方式： OAI收割

来源：地理科学与资源研究所

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