A disaster-damage-based framework for assessing urban resilience to intense rainfall-induced flooding

Xiwen Zhang, Feng Mao*, Zhaoya Gong, David M. Hannah, Yunnan Cai, Jiansheng Wu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

Resilience has been widely used as a concept to analyse, understand, and improve cities' coping capacities to disasters. However, it is still a challenge to operationalise and quantify resilience. This study proposes a framework for assessing resilience to disasters based on the relationship between disaster intensity and damage rate. We use intense (short-term heavy) rainfall-induced urban flooding in Shenzhen city, one of the largest cities in China, as an example to explore the main features and transferability of the proposed resilience assessment framework. In addition, we demonstrate the usability of the proposed framework by using it to assess and compare the effectiveness of two resilience-building strategies: (1) permeable pavement transformation and (2) land vulnerability reduction. This research makes an innovative contribution through its effective disaster-damage-based approach for quantitatively evaluating urban resilience to disasters, which can support building resilience and mitigating the impact of climate change.

Original languageEnglish
Article number101402
JournalUrban Climate
Volume48
Early online date16 Jan 2023
DOIs
Publication statusPublished - Mar 2023

Bibliographical note

Funding Information:
We acknowledge the support from the National Natural Science Foundation of China Youth Science Fund ( 42101273 ).

Publisher Copyright:
© 2023 The Authors

Keywords

  • Climate adaptation
  • Depth-damage curve
  • Disaster
  • Resilience assessment
  • Urban flooding
  • Urban resilience

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Environmental Science (miscellaneous)
  • Urban Studies
  • Atmospheric Science

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