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Regional flood risk grading assessment and application based on uncertain EW-AHPSort II method

Published: 08 March 2022 Publication History

Abstract

In recent years, urban flooding has caused increasing losses, and the management of it has gradually shifted from engineering defence to risk-based management. In China, Jiangxi Province is a flood-prone region, so effective flood risk assessment is urgently required to reduce disaster losses. This paper establishes an index system for urban flood hazard assessment based on the “hazard, stability, vulnerability, and resilience” framework, using the EW-AHPSort II method to classify and rank urban flood risk. Fuzzy mathematics is also combined into the construction of the judgement matrix. Our study has shown that the northern part of Jiangxi Province is a high-risk area for flooding. According to our research results, recommendations for urban flood control are proposed in the hope of reinforcing flood prevention and providing a reference for global flood control.

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ICISE '21: Proceedings of the 6th International Conference on Information Systems Engineering
November 2021
110 pages
ISBN:9781450385220
DOI:10.1145/3503928
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 08 March 2022

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Author Tags

  1. AHPSort Ⅱ
  2. Entropy-weight method
  3. Flood risk assessment
  4. Uncertainty

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