Urban resilience assessment model for waterlogging disasters and its application

被引：0

作者：

Li Z. ^{[1
,2
]}

Fu D. ^{[1
]}

Wang J. ^{[1
,3
]}

Min K. ^{[1
]}

Zhang J. ^{[3
,4
]}

机构：

[1] School of Civil Engineering, Southeast University, Nanjing

[2] Changzhou Institute of Planning and Design, Changzhou

[3] SEU-Monash Joint Research Center for Future Cities, Suzhou

[4] Department of Water Science and Engineering, IHE Delft Institute for Water Education, Delft

来源：

Qinghua Daxue Xuebao/Journal of Tsinghua University | 2022年 / 62卷 / 02期

关键词：

Disaster prevention; Resilience assessment; Urban resilience; Waterlogging disasters;

D O I：

10.16511/j.cnki.qhdxxb.2021.22.037

中图分类号：

学科分类号：

摘要：

In traditional disaster prevention and mitigation analyses, risk assessments for waterlogging disasters usually only consider the infrastructure resilience and natural conditions such as weather and terrain. However, with the development of resilience theory, risk assessment and countermeasures should also include flood prevention and control, emergency responses and post-disaster recovery by the government and residents. This paper presents a set of indicators for evaluating the ability of cities to deal with waterlogging disasters, including 41 basic indicators covering 13 aspects incorporated into a resilience assessment model. The resilience assessment model is then applied to Kunshan, a low lying city in Jiangsu Province, China. The results show that the Kunshan High-Tech Zone has the best resilience and the strongest ability to deal with waterlogging disasters. The index system and model evaluation results are used to develop a targeted improvement strategy for areas with poor resilience to waterlogging disasters. © 2022, Tsinghua University Press. All right reserved.

引用

页码：266 / 276

页数：10

共 28 条

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