Flood Risk Assessment Based on a Cloud Model in Sichuan Province, China

Jian Liu, Kangjie Wang, Shan Lv, Xiangtao Fan and Haixia He ()
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Jian Liu: Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
Kangjie Wang: Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
Shan Lv: Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
Xiangtao Fan: Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
Haixia He: National Disaster Reduction Center, Ministry of Emergency Management, Beijing 100124, China

Sustainability, 2023, vol. 15, issue 20, 1-19

Abstract: Floods are serious threats to the safety of people’s lives and property. This paper systematically introduces the basic theories and methods of flood risk assessment, takes Sichuan Province as the study area, and establishes a flood risk assessment index system with 14 indicators in four aspects—disaster-causing factors, disaster-forming environment, disaster-bearing body, and regional disaster resilience capacity—from the causes of disaster losses and flood formation mechanisms. Furthermore, this paper constructs a flood disaster risk assessment model for Sichuan Province based on a cloud model, entropy value, and GIS technology. The model is validated by taking the July–August 2023 flood disaster as an example, and the results show that the distribution of the disaster was consistent with the flood risk assessment results of this paper, which verifies that the selected indicators are appropriate and the model is accurate and valid.

Keywords: flood; risk assessment; cloud model; entropy weight (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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