中国安全科学学报 ›› 2018, Vol. 28 ›› Issue (4): 1-6.doi: 10.16265/j.cnki.issn1003-3033.2018.04.001

• 安全科学技术基础学科 •    下一篇

雨洪灾害情境下城市韧性评估模型

陈长坤1,2 教授, 陈以琴1, 施波1, 徐童2   

  1. 1 中南大学 资源与安全工程学院,湖南 长沙 410083
    2 中南大学 防灾科学与安全技术研究所, 湖南 长沙 410075
  • 收稿日期:2017-12-10 修回日期:2018-02-09 出版日期:2018-04-28 发布日期:2020-09-28
  • 作者简介:陈长坤(1977—),男,福建福安人,博士,教授,主要从事火灾科学与消防工程、城市公共安全及应急管理、长大隧道防灾安全技术等方面的研究。E-mail:cckchen@csu.edu.cn。
  • 基金资助:
    国家重点研发计划项目(2016YFC0802500);国家自然科学基金重点项目资助(51534008)。

An model for evaluating urban resilience to rainstorm flood disasters

CHEN Changkun1,2, CHEN Yiqin1, SHI Bo1, XU Tong2   

  1. 1 School of Resources and Safety Engineering, Central South University, Changsha Hunan 410083,China
    2 Institute of Disaster Prevention Science and Safety Technology, Central South University, Changsha Hunan 410075,China
  • Received:2017-12-10 Revised:2018-02-09 Online:2018-04-28 Published:2020-09-28

摘要: 为定量评估城市应对雨洪灾害的能力,建立基于韧性理论并结合逼近理想解排序法(TOPSIS)的评估模型。从城市韧性的抵抗力、恢复力和适应力3大属性出发,建立雨洪灾害情境下城市韧性评估指标体系,该体系包含3个一级指标和25个二级指标;在此基础上,应用基于Kullback-Leibler公式改进后的TOPSIS法,构建城市韧性KL-TOPSIS综合评估计算模型;并以武汉市2009—2015年相关数据为例,利用该模型评估分析武汉市雨洪灾害情境下的城市韧性。结果表明:用该模型能够分析出某段时间内城市韧性水平、抵抗力、适应力和恢复力随时间的变化趋势,对其加以比较分析,进而找出城市应对雨洪灾害时存在的薄弱环节,提出相应的强韧建议。

关键词: 城市韧性, 韧性评估, Kullback-Leibler(KL)距离, 雨洪灾害, 逼近理想解排序法(TOPSIS)

Abstract: In order to quantitatively assess the city's ability to cope with rainstorm flood disasters, the authors devoted themselves to building an evaluation model based on resilient theories and TOPSIS. An urban resilience evaluation index system containing 3 first level indexes and 25 secondary indexes was established after considering the three attributes of resilience: resistance, recovery capability and adaptive capacity. Based on TOPSIS improved by KL formula, the KL-TOPSIS comprehensive evaluation model of urban resilience was built. The relevant data on Wuhan city from 2009 to 2015 were taken as an example, this model was used to evaluate the Wuhan urban resilience to rainstorm flood disasters. The result shows the model can give the level changes of urban resilience, resistance, recovery capability and adaptive capacity in a certain period of time, and that based on the comparative analysis of these, the weak link in the city to cope with rainstorm flood disasters can be found out, and the strengthening-resilience suggestions can be put forward.

Key words: urban resilience, evaluation of resilience, Kullback-Leibler(KL) distance, rainstorm flood disasters, technique for order preference by similarity to ideal solution(TOPSIS)

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