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Quantitative Vulnerability Model of Earth Dam Overtopping and its Application

Author

Listed:
  • Chong-Xun Mo

    (Guangxi University
    Key Laboratory of Disaster Prevention and Structural Safety of Ministry of Education
    Guangxi Key Laboratory of Disaster Prevention and Engineering Safety)

  • Gui-Yan Mo

    (Guangxi University
    Key Laboratory of Disaster Prevention and Structural Safety of Ministry of Education
    Guangxi Key Laboratory of Disaster Prevention and Engineering Safety)

  • Liu Peng

    (Guangxi University
    Key Laboratory of Disaster Prevention and Structural Safety of Ministry of Education
    Guangxi Key Laboratory of Disaster Prevention and Engineering Safety)

  • Qing Yang

    (Guangxi University
    Key Laboratory of Disaster Prevention and Structural Safety of Ministry of Education
    Guangxi Key Laboratory of Disaster Prevention and Engineering Safety)

  • Xin-Rong Zhu

    (Guangxi University
    Key Laboratory of Disaster Prevention and Structural Safety of Ministry of Education
    Guangxi Key Laboratory of Disaster Prevention and Engineering Safety)

  • Qing-Ling Jiang

    (Changjiang Institute of Technology)

  • Ju-Liang Jin

    (Hefei University of Technology)

Abstract

Dam failure constituted a considerable threat to human life and created corresponding losses. Hence, this paper proposed a quantitative vulnerability evaluation model to estimate the consequences of dam overtopping, including loss assessment and vulnerability degree calculations. A composite normalized function was applied to convert dam overtopping loss to a vulnerability degree ranging from 0 to 1. In addition, many complex factors were simplified in the loss estimation, and the thresholds of various types of losses were proposed and adapted to the national and regional conditions. Then, loss of life, economic loss, social loss and environmental loss were incorporated into the vulnerability degree model based on a comprehensive evaluation method and were further assigned weights. Finally, vulnerability degree grading criteria was divided based on three significant cut-off values, and the corresponding guidelines for vulnerability evaluation were explained in detail. The methodology was applied to Chengbihe Reservoir in China to illustrate the assessment process of flood overtopping loss and to evaluate the vulnerability degree of the area. The results indicated that (1) dam overtopping vulnerability degree of the Chengbihe Reservoir was 0.89, which was within the range of “extremely high vulnerability” and (2) countermeasures were necessary; for example, early flood warning and forecast systems must be developed for the reservoir so that people and property in flooded areas can be safely evacuated during the process of emergencies.

Suggested Citation

  • Chong-Xun Mo & Gui-Yan Mo & Liu Peng & Qing Yang & Xin-Rong Zhu & Qing-Ling Jiang & Ju-Liang Jin, 2019. "Quantitative Vulnerability Model of Earth Dam Overtopping and its Application," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(5), pages 1801-1815, March.
  • Handle: RePEc:spr:waterr:v:33:y:2019:i:5:d:10.1007_s11269-019-2195-6
    DOI: 10.1007/s11269-019-2195-6
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    References listed on IDEAS

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    1. Ruirui Sun & Xiaoling Wang & Zhengyin Zhou & Xuefei Ao & Xiaopei Sun & Mingrui Song, 2014. "Study of the comprehensive risk analysis of dam-break flooding based on the numerical simulation of flood routing. Part I: model development," 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. 73(3), pages 1547-1568, September.
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    3. Zhengyin Zhou & Xiaoling Wang & Ruirui Sun & Xuefei Ao & Xiaopei Sun & Mingrui Song, 2014. "Study of the comprehensive risk analysis of dam-break flooding based on the numerical simulation of flood routing. Part II: Model application and results," 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. 72(2), pages 675-700, June.
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    Cited by:

    1. Kuan Yang & Fulong Chen & Chaofei He & Zhijun Zhang & Aihua Long, 2020. "Fuzzy risk analysis of dam overtopping from snowmelt floods in the nonstationarity case of the Manas River catchment, 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. 104(1), pages 27-49, October.
    2. Hao Gu & Xiao Fu & Yantao Zhu & Yijun Chen & Lixian Huang, 2020. "Analysis of Social and Environmental Impact of Earth-Rock Dam Breaks Based on a Fuzzy Comprehensive Evaluation Method," Sustainability, MDPI, vol. 12(15), pages 1-15, August.

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