Assessment of the urban waterlogging resilience and identification of its driving factors: A case study of Wuhan City, China
文献类型：期刊论文
| 作者 | Xiao, Shuai1,2; Zou, Lei1; Xia, Jun1,3; Dong, Yi1; Yang, Zhizhou1; Yao, Tianci4 |
| 刊名 | SCIENCE OF THE TOTAL ENVIRONMENT
 |
| 出版日期 | 2023-03-25 |
| 卷号 | 866页码:13 |
| ISSN号 | 0048-9697 |
| 关键词 | Urban waterlogging resilience Pressure-State-Response framework Spatial heterogeneity Driving factors Wuhan city |
| DOI | 10.1016/j.scitotenv.2022.161321 |
| 通讯作者 | Zou, Lei(zoulei@igsnrr.ac.cn) |
| 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. |
| WOS关键词 | RISK-ASSESSMENT ; URBANIZATION ; AREA |
| 资助项目 | National Natural Science Foundation of China[41890823] ; National Natural Science Foundation of China[42101043] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23040304] |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| 出版者 | ELSEVIER |
| WOS记录号 | WOS:000919598700001 |
| 资助机构 | National Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Sciences |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/189452]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zou, Lei |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Wuhan Univ, State Key Lab Water Resources & Hydropower Engn Sc, Wuhan 430000, Peoples R China 4.Guangdong Acad Sci, Guangzhou Inst Geog, Guangzhou 510070, Peoples R China |
| 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]. SCIENCE OF THE TOTAL ENVIRONMENT,2023,866:13. |
| 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,866,13. |
| 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):13. |
入库方式： OAI收割
来源：地理科学与资源研究所
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