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Rainstorm Disaster Risk Assessment and Influence Factors Analysis in the Yangtze River Delta, China

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  • Menghua Deng

    (Business School, Hohai University, Nanjing 210098, China
    Yangtze Institute for Conservation and Development, Hohai University, Nanjing 210098, China)

  • Zhiqi Li

    (Business School, Hohai University, Nanjing 210098, China)

  • Feifei Tao

    (College of Computer and Information, Hohai University, Nanjing 210098, China)

Abstract

Rainstorm disasters have had a serious impact on the sustainable development of society and the economy. However, due to the complexity of rainstorm disasters, it is difficult to measure the importance of each indicator. In this paper, the rainstorm disaster risk assessment framework was systematically proposed based on the disaster system theory and a system of corresponding indicators was established. Furthermore, the genetic algorithm optimized projection pursuit and XGBoost were coupled to assess the rainstorm disaster risk and to measure the relative importance of each indicator. Finally, the Yangtze River Delta was taken as the case study area. The results show that: the rainstorm disaster risk in the eastern and southeast is higher than those in the central and northwest of the Yangtze River Delta; the total precipitation from June to September and the top ten indicators contribute 9.34% and 74.20% to the rainstorm disaster risk assessment results, respectively. The results can provide references for decision makers and are helpful for the formulation of rainstorm adaptation strategies.

Suggested Citation

  • Menghua Deng & Zhiqi Li & Feifei Tao, 2022. "Rainstorm Disaster Risk Assessment and Influence Factors Analysis in the Yangtze River Delta, China," IJERPH, MDPI, vol. 19(15), pages 1-16, August.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:15:p:9497-:d:878568
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    References listed on IDEAS

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    1. Huafei Yu & Yaolong Zhao & Yingchun Fu, 2019. "Optimization of Impervious Surface Space Layout for Prevention of Urban Rainstorm Waterlogging: A Case Study of Guangzhou, China," IJERPH, MDPI, vol. 16(19), pages 1-28, September.
    2. Menghua Deng & Junfei Chen & Feifei Tao & Jiulong Zhu & Min Wang, 2022. "On the Coupling and Coordination Development between Environment and Economy: A Case Study in the Yangtze River Delta of China," IJERPH, MDPI, vol. 19(1), pages 1-20, January.
    3. Zaohong Liu & Zhangzejun Jiang & Chen Xu & Guanjun Cai & Jian Zhan, 2021. "Assessment of provincial waterlogging risk based on entropy weight TOPSIS–PCA method," 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. 108(2), pages 1545-1567, September.
    4. Eric Bradford & Artur M. Schweidtmann & Alexei Lapkin, 2018. "Correction to: Efficient multiobjective optimization employing Gaussian processes, spectral sampling and a genetic algorithm," Journal of Global Optimization, Springer, vol. 71(2), pages 439-440, June.
    5. Junfei Chen & Mengchen Chen & Pei Zhou, 2020. "Using Multiple Index Comprehensive Method to Assess Urban Rainstorm Disaster Risk in Jiangsu Province, China," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-10, July.
    6. Junfei Chen & Juan Ji & Huimin Wang & Menghua Deng & Cong Yu, 2020. "Risk Assessment of Urban Rainstorm Disaster Based on Multi-Layer Weighted Principal Component Analysis: A Case Study of Nanjing, China," IJERPH, MDPI, vol. 17(15), pages 1-19, July.
    7. Myles R. Allen & William J. Ingram, 2012. "Correction: Corrigendum: Constraints on future changes in climate and the hydrologic cycle," Nature, Nature, vol. 489(7417), pages 590-590, September.
    8. B. Tellman & J. A. Sullivan & C. Kuhn & A. J. Kettner & C. S. Doyle & G. R. Brakenridge & T. A. Erickson & D. A. Slayback, 2021. "Satellite imaging reveals increased proportion of population exposed to floods," Nature, Nature, vol. 596(7870), pages 80-86, August.
    9. Junfei Chen & Liming Liu & Jinpeng Pei & Menghua Deng, 2021. "An ensemble risk assessment model for urban rainstorm disasters based on random forest and deep belief nets: a case study of Nanjing, 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. 107(3), pages 2671-2692, July.
    10. Eric Bradford & Artur M. Schweidtmann & Alexei Lapkin, 2018. "Efficient multiobjective optimization employing Gaussian processes, spectral sampling and a genetic algorithm," Journal of Global Optimization, Springer, vol. 71(2), pages 407-438, June.
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    1. Xuming Wang & Xianrui Yu & Xiaobing Yu, 2022. "Flood Disaster Risk Assessment Based on DEA Model in Southeast Asia along “The Belt and Road”," Sustainability, MDPI, vol. 14(20), pages 1-10, October.

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