Urban resilience assessment model for waterlogging disasters and its application
LI Zhengzhao1,2, FU Dafang1, WANG Junxian1,3, MIN Kedong1, ZHANG Junyu3,4
1. School of Civil Engineering, Southeast University, Nanjing 210096, China; 2. Changzhou Institute of Planning and Design, Changzhou 213000, China; 3. SEU-Monash Joint Research Center for Future Cities, Suzhou 215123, China; 4. Department of Water Science and Engineering, IHE Delft Institute for Water Education, Delft 2611AX, The Netherlands
Abstract：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.
李正兆, 傅大放, 王君娴, 闵克东, 张骏彧. 应对内涝灾害的城市韧性评估模型及应用[J]. 清华大学学报（自然科学版）, 2022, 62(2): 266-276.
LI Zhengzhao, FU Dafang, WANG Junxian, MIN Kedong, ZHANG Junyu. Urban resilience assessment model for waterlogging disasters and its application. Journal of Tsinghua University(Science and Technology), 2022, 62(2): 266-276.
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