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Integrated risk assessment of flood disaster based on improved set pair analysis and the variable fuzzy set theory in central Liaoning Province, China

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  • Enliang Guo
  • Jiquan Zhang
  • Xuehui Ren
  • Qi Zhang
  • Zhongyi Sun

Abstract

This study presents the methodology and procedure for risk assessment of flood disasters in central Liaoning Province, which was supported by geographical information systems (GIS) and technology of natural disaster risk assessment. On the basis of the standard formulation of natural disaster risk and flood disaster risk index, of which weights were developed using combined weights of entropy, the relative membership degree functions of variable fuzzy set (VFS) theory were calculated using improved set pair analysis, while level values were calculated using VFSs, including hazard levels, exposure levels, vulnerability levels and restorability levels, and the flood risk level for each assessment unit was obtained using the natural disaster index method. Consequently, integrated flood risk map was carried out by GIS spatial analysis technique. The results show that the southwestern and central parts of the study area possess higher risk, while the northwestern and southeastern parts possess lower risk. The results got by the assessment model fits the area of historical flood data; this study offer new insights and possibility to carry out an efficient way for flood disaster prevention and mitigation. The study also provides scientific reference in flood risk management for local and national governmental agencies. Copyright Springer Science+Business Media Dordrecht 2014

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  • Enliang Guo & Jiquan Zhang & Xuehui Ren & Qi Zhang & Zhongyi Sun, 2014. "Integrated risk assessment of flood disaster based on improved set pair analysis and the variable fuzzy set theory in central Liaoning Province, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 74(2), pages 947-965, November.
  • Handle: RePEc:spr:nathaz:v:74:y:2014:i:2:p:947-965
    DOI: 10.1007/s11069-014-1238-9
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    13. Xianghai Li & Mengjie Li & Kaikai Cui & Tao Lu & Yanli Xie & Delin Liu, 2022. "Evaluation of Comprehensive Emergency Capacity to Urban Flood Disaster: An Example from Zhengzhou City in Henan Province, China," Sustainability, MDPI, vol. 14(21), pages 1-16, October.
    14. Xue Jin & U. Rashid Sumaila & Kedong Yin, 2020. "Direct and Indirect Loss Evaluation of Storm Surge Disaster Based on Static and Dynamic Input-Output Models," Sustainability, MDPI, vol. 12(18), pages 1-25, September.
    15. Chengguang Lai & Xiaohong Chen & Zhaoli Wang & Haijun Yu & Xiaoyan Bai, 2020. "Flood Risk Assessment and Regionalization from Past and Future Perspectives at Basin Scale," Risk Analysis, John Wiley & Sons, vol. 40(7), pages 1399-1417, July.
    16. Wen-Cheng Liu & Tien-Hsiang Hsieh & Hong-Ming Liu, 2021. "Flood Risk Assessment in Urban Areas of Southern Taiwan," Sustainability, MDPI, vol. 13(6), pages 1-22, March.
    17. Junnan Xiong & Chongchong Ye & Weiming Cheng & Liang Guo & Chenghu Zhou & Xiaolei Zhang, 2019. "The Spatiotemporal Distribution of Flash Floods and Analysis of Partition Driving Forces in Yunnan Province," Sustainability, MDPI, vol. 11(10), pages 1-18, May.
    18. Yongfang Wang & Jiquan Zhang & Enliang Guo & Zhongyi Sun, 2015. "Fuzzy Comprehensive Evaluation-Based Disaster Risk Assessment of Desertification in Horqin Sand Land, China," IJERPH, MDPI, vol. 12(2), pages 1-23, February.
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    22. Cui, Yi & Zhou, Yuliang & Jin, Juliang & Jiang, Shangming & Wu, Chengguo & Ning, Shaowei, 2023. "Spatiotemporal characteristics and obstacle factors identification of agricultural drought disaster risk: A case study across Anhui Province, China," Agricultural Water Management, Elsevier, vol. 289(C).
    23. Zaihai Wu & Zhaojun Qi & Yunpeng Kou & Zheng Li & Guoyan Zhao & Weizhang Liang, 2022. "Application of Extended Set Pair Analysis on Wear Risk Evaluation of Backfill Pipeline," Sustainability, MDPI, vol. 14(23), pages 1-17, November.

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