洪水(心理学)
减少灾害风险
弹性(材料科学)
脆弱性(计算)
城市复原力
环境规划
环境资源管理
环境科学
计算机科学
城市规划
土木工程
计算机安全
工程类
心理学
热力学
物理
心理治疗师
作者
Xiwen Zhang,Feng Mao,Zhaoya Gong,David M. Hannah,Yunnan Cai,Jian Wu
出处
期刊:urban climate
[Elsevier]
日期:2023-01-16
卷期号:48: 101402-101402
被引量:49
标识
DOI:10.1016/j.uclim.2022.101402
摘要
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.
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