气候变化领域集成服务门户(CCPortal): Assessment of the urban waterlogging resilience and identification of its driving factors: A case study of Wuhan City, China

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DOI	10.1016/j.scitotenv.2022.161321
	Assessment of the urban waterlogging resilience and identification of its driving factors: A case study of Wuhan City, China
	Xiao, Shuai; Zou, Lei; Xia, Jun; Dong, Yi; Yang, Zhizhou; Yao, Tianci
发表日期	2023
ISSN	0048-9697
EISSN	1879-1026
卷号	866
英文摘要	With rapid urbanization and extreme rainstorm events associated with climate change, urban waterlogging has become one of the most frequent and severe disasters globally. In this study, a multi-dimensional and multi-process index system based on the Pressure-State-Response (PSR) framework was developed to measure the level of urban waterlogging resilience (UWR). The spatial distribution of UWR on a block scale was explored based on the entropy weight method with the natural breakpoint method (EWM-NBM) in the central district of Wuhan City, China. In addition, the effects of the runoff control facilities and early warning measures on UWR were also quantified. Further, the Geodetector was used to investigate the main driving factors of UWR and their interactions. Results showed that the constructed index system for UWR based on the PSR framework performed reasonably, and the EWM-NBM was validated to be effective in the integrated assessment. In terms of the validation results, 82.72 % of the recorded waterlogging points belonged to high and very-high risk levels. The spatial heterogeneity of UWR was significant in the study area where the higher-level UWR mainly appears in the areas near the undeveloped suburban and water bodies (lakes and rivers), and the lower-level UWR was concentrated in central urban areas with more impervious surfaces. There was a clear increasing trend in UWR after the implementation of runoff control facilities and early warning measures, but its spatial distribution remained almost invariant. Among all the indexes, the impervious surface percentage had the strongest (69.58 %) explanatory ability for the UWR, and mean annual precipitation (15.51 %), GDP (14.03 %), and population density (11.98 %) also demanded attention. Most driving factors of UWR showed nonlinear interactions. This research could provide a benchmark for urban planning to enhance UWR to mitigate the waterlogging within the main urban area.
英文关键词	Urban waterlogging resilience; Pressure-State-Response framework; Spatial heterogeneity; Driving factors; Wuhan city
语种	英语
WOS研究方向	Environmental Sciences
WOS类目	Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号	WOS:000919598700001
来源期刊	SCIENCE OF THE TOTAL ENVIRONMENT
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/281554
作者单位	Chinese Academy of Sciences; Institute of Geographic Sciences & Natural Resources Research, CAS; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS; Wuhan University; Guangdong Academy of Sciences; Guangzhou Institute of Geography, Guangdong Academy of Sciences
推荐引用方式 GB/T 7714	Xiao, Shuai,Zou, Lei,Xia, Jun,et al. Assessment of the urban waterlogging resilience and identification of its driving factors: A case study of Wuhan City, China[J],2023,866.
APA	Xiao, Shuai,Zou, Lei,Xia, Jun,Dong, Yi,Yang, Zhizhou,&Yao, Tianci.(2023).Assessment of the urban waterlogging resilience and identification of its driving factors: A case study of Wuhan City, China.SCIENCE OF THE TOTAL ENVIRONMENT,866.
MLA	Xiao, Shuai,et al."Assessment of the urban waterlogging resilience and identification of its driving factors: A case study of Wuhan City, China".SCIENCE OF THE TOTAL ENVIRONMENT 866(2023).