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Two-stage flood disaster analysis driven by smart tools orienting resilience: a case study of Zhuozhou City
Journal article   Peer reviewed

Two-stage flood disaster analysis driven by smart tools orienting resilience: a case study of Zhuozhou City

Meiyang Peng, Yingyan Long, Kai Gao, Lu Gan, Wei Shu, Wanlin Liu and Benjamin Lev
International journal of management science and engineering management, pp 1-12
11 Sep 2025

Abstract

Flood disaster risk discrimination resilience evaluation entropy weight -TOPSIS method PSR model D81 Q54
With global warming, the diversity and uncertainty of flood disaster risks continue to increase. Establishing an evaluation and analysis system that helps improve urban flood resilience has become an important issue in urban management and construction. Therefore, this study takes Zhuozhou City, Hebei Province as the research object and analyzes flood disasters in Zhuozhou in two stages. Using the entropy weight-TOPSIS method and GIS spatial analysis technology, a risk assessment index system for flood disasters is constructed. The study obtains changes in flood disaster risks and a spatial distribution map of risk areas in Zhuozhou City over the past five years. The PSR model is used to construct an evaluation system for urban flood resilience indicators. The flood resilience index and ranking of Zhuozhou City over the past five years are obtained. Based on the analysis of flood disaster risk and resilience in Zhuozhou, corresponding risk management and resilience enhancement strategies are proposed. The research can provide important references for urban flood control and disaster reduction. It is of great significance for enhancing urban resilience, reducing losses caused by floods, and safeguarding people’s lives and property.

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Collaboration types
Domestic collaboration
International collaboration
Web of Science research areas
Operations Research & Management Science
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