EconPapers    
Economics at your fingertips  
 

Flood disaster risk assessment of and countermeasures toward Yangtze River Delta by considering index interaction

Ruiling Sun, Zaiwu Gong (), Weiwei Guo, Ashfaq Ahmad Shah, Jie Wu and Haiying Xu
Additional contact information
Ruiling Sun: Nanjing University of Information Science and Technology
Zaiwu Gong: Nanjing University of Information Science and Technology
Weiwei Guo: Nanjing University of Information Science and Technology
Ashfaq Ahmad Shah: Nanjing University of Information Science and Technology
Jie Wu: Jiangsu Institute of Quality and Standardization
Haiying Xu: Nanjing Research Institute of Ecological and Environmental Protection

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2022, vol. 112, issue 1, No 20, 475-500

Abstract: Abstract An effective risk assessment and response to flood disasters will help ensure the sustainable development of a region. A perfect flood disaster assessment index system should consider the interactions between indexes. The Choquet integral method can effectively solve the problems of index interactions and information overlap and can be used to aggregate relevant decision criteria and express the preferences of decision makers, making it a useful supplement to traditional indicator integration methods. A flood disaster risk assessment model based on the Choquet integral was constructed by considering the meteorological factors, geographical conditions, economic development, population status, medical conditions, education level, and crop sowing in the Yangtze River Delta region (including Shanghai, Jiangsu, Zhejiang, and Anhui) from 2006 to 2017. The model quantified the interaction between the evaluation indexes, taking the minimum information redundancy as the goal; subsequently, a flood disaster risk assessment was performed. The results showed that the meteorological conditions, geographical factors, exposure, and vulnerability have negative interactions with emergency and recovery capabilities. Because of the influence of the first three criteria, the information contained in the criteria for emergency and recovery capabilities is weakened or underestimated. Anhui Province was the largest flood disaster risk area in the Yangtze River Delta region from 2006 to 2017. Zhejiang Province ranked second, and Jiangsu Province and Shanghai City ranked third and fourth, respectively. The assessment results can provide a useful reference for flood disaster risk management in the Yangtze River Delta region.

Keywords: Flood disaster; Risk assessment; Index interaction; Choquet integral (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://link.springer.com/10.1007/s11069-021-05189-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:nathaz:v:112:y:2022:i:1:d:10.1007_s11069-021-05189-4

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11069

DOI: 10.1007/s11069-021-05189-4

Access Statistics for this article

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards is currently edited by Thomas Glade, Tad S. Murty and Vladimír Schenk

More articles in Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards from Springer, International Society for the Prevention and Mitigation of Natural Hazards
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:nathaz:v:112:y:2022:i:1:d:10.1007_s11069-021-05189-4