Literature DB >> 29505999

Multiple flood vulnerability assessment approach based on fuzzy comprehensive evaluation method and coordinated development degree model.

Weichao Yang1, Kui Xu2, Jijian Lian1, Lingling Bin1, Chao Ma1.   

Abstract

Flood is a serious challenge that increasingly affects the residents as well as policymakers. Flood vulnerability assessment is becoming gradually relevant in the world. The purpose of this study is to develop an approach to reveal the relationship between exposure, sensitivity and adaptive capacity for better flood vulnerability assessment, based on the fuzzy comprehensive evaluation method (FCEM) and coordinated development degree model (CDDM). The approach is organized into three parts: establishment of index system, assessment of exposure, sensitivity and adaptive capacity, and multiple flood vulnerability assessment. Hydrodynamic model and statistical data are employed for the establishment of index system; FCEM is used to evaluate exposure, sensitivity and adaptive capacity; and CDDM is applied to express the relationship of the three components of vulnerability. Six multiple flood vulnerability types and four levels are proposed to assess flood vulnerability from multiple perspectives. Then the approach is applied to assess the spatiality of flood vulnerability in Hainan's eastern area, China. Based on the results of multiple flood vulnerability, a decision-making process for rational allocation of limited resources is proposed and applied to the study area. The study shows that multiple flood vulnerability assessment can evaluate vulnerability more completely, and help decision makers learn more information about making decisions in a more comprehensive way. In summary, this study provides a new way for flood vulnerability assessment and disaster prevention decision.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Coordinated development degree model; Fuzzy comprehensive evaluation method; Multiple flood vulnerability; Multiple perspectives

Mesh:

Year:  2018        PMID: 29505999     DOI: 10.1016/j.jenvman.2018.02.085

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  3 in total

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Journal:  Environ Sci Pollut Res Int       Date:  2018-11-29       Impact factor: 4.223

2.  Spatial-Temporal Sensitivity Analysis of Flood Control Capability in China Based on MADM-GIS Model.

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3.  Assessment of green infrastructure performance through an urban resilience lens.

Authors:  Xin Fu; Matthew E Hopton; Xinhao Wang
Journal:  J Clean Prod       Date:  2021-03-20       Impact factor: 9.297

  3 in total

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