IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v33y2019i5d10.1007_s11269-019-2195-6.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-019-2195-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11269-019-2195-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Michael L. DeKay & Gary H. McClelland, 1993. "Predicting Loss of Life in Cases of Dam Failure and Flash Flood," Risk Analysis, John Wiley & Sons, vol. 13(2), pages 193-205, April.
    2. Dongjing Huang & Zhongbo Yu & Yiping Li & Dawei Han & Lili Zhao & Qi Chu, 2017. "Calculation method and application of loss of life caused by dam break in 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. 85(1), pages 39-57, January.
    3. Saaty, Thomas L., 1990. "How to make a decision: The analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 48(1), pages 9-26, September.
    4. 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.
    5. Sherong Zhang & Yaosheng Tan, 2014. "Risk assessment of earth dam overtopping and its application research," 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 717-736, November.
    6. 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.
    7. Denghua Zhong & Yuefeng Sun & Mingchao Li, 2011. "Dam break threshold value and risk probability assessment for an earth dam," 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. 59(1), pages 129-147, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wei Ge & Zongkun Li & Wei Li & Meimei Wu & Juanjuan Li & Yipeng Pan, 2020. "Risk evaluation of dam-break environmental impacts based on the set pair analysis and cloud model," 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(2), pages 1641-1653, November.
    2. Dongjing Huang & Zhongbo Yu & Yiping Li & Dawei Han & Lili Zhao & Qi Chu, 2017. "Calculation method and application of loss of life caused by dam break in 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. 85(1), pages 39-57, January.
    3. Ebrahim Ahmadisharaf & Alfred Kalyanapu & Eun-Sung Chung, 2015. "Evaluating the Effects of Inundation Duration and Velocity on Selection of Flood Management Alternatives Using Multi-Criteria Decision Making," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(8), pages 2543-2561, June.
    4. 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.
    5. Alaa Ahmed & Guna Hewa & Abdullah Alrajhi, 2021. "Flood susceptibility mapping using a geomorphometric approach in South Australian basins," 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. 106(1), pages 629-653, March.
    6. Alireza Khoshkonesh & Blaise Nsom & Farhad Bahmanpouri & Fariba Ahmadi Dehrashid & Atefeh Adeli, 2021. "Numerical Study of the Dynamics and Structure of a Partial Dam-Break Flow Using the VOF Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(5), pages 1513-1528, March.
    7. Rui Liu & Yun Chen & Jianping Wu & Lei Gao & Damian Barrett & Tingbao Xu & Xiaojuan Li & Linyi Li & Chang Huang & Jia Yu, 2017. "Integrating Entropy‐Based Naïve Bayes and GIS for Spatial Evaluation of Flood Hazard," Risk Analysis, John Wiley & Sons, vol. 37(4), pages 756-773, April.
    8. Ahmet Ozan Celik & Volkan Kiricci & Canberk Insel, 2017. "Reassessment of the flood damage at a river diversion hydropower plant site: lessons learned from a case study," 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. 86(2), pages 833-847, March.
    9. Te Wang & Zongkun Li & Wei Ge & Yadong Zhang & Yutie Jiao & Hua Zhang & Heqiang Sun & Pieter Gelder, 2023. "Risk assessment methods of cascade reservoir dams: a review and reflection," 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. 115(2), pages 1601-1622, January.
    10. Xiaoling Wang & Wenlong Chen & Zhengyin Zhou & Yushan Zhu & Cheng Wang & Zhen Liu, 2017. "Three-dimensional flood routing of a dam break based on a high-precision digital model of a dense urban area," 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. 86(3), pages 1147-1174, April.
    11. Guanjie He & Junrui Chai & Yuan Qin & Zengguang Xu & Shouyi Li, 2020. "Coupled Model of Variable Fuzzy Sets and the Analytic Hierarchy Process and its Application to the Social and Environmental Impact Evaluation of Dam Breaks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(9), pages 2677-2697, July.
    12. Sherong Zhang & Yaosheng Tan, 2014. "Risk assessment of earth dam overtopping and its application research," 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 717-736, November.
    13. Flavio Martins & Maria Fatima Almeida & Rodrigo Calili & Agatha Oliveira, 2020. "Design Thinking Applied to Smart Home Projects: A User-Centric and Sustainable Perspective," Sustainability, MDPI, vol. 12(23), pages 1-27, December.
    14. Jochen Wulf, 2020. "Development of an AHP hierarchy for managing omnichannel capabilities: a design science research approach," Business Research, Springer;German Academic Association for Business Research, vol. 13(1), pages 39-68, April.
    15. Wu, Zhangsheng & Li, Yue & Wang, Rong & Xu, Xu & Ren, Dongyang & Huang, Quanzhong & Xiong, Yunwu & Huang, Guanhua, 2023. "Evaluation of irrigation water saving and salinity control practices of maize and sunflower in the upper Yellow River basin with an agro-hydrological model based method," Agricultural Water Management, Elsevier, vol. 278(C).
    16. D’Inverno, Giovanna & Carosi, Laura & Romano, Giulia & Guerrini, Andrea, 2018. "Water pollution in wastewater treatment plants: An efficiency analysis with undesirable output," European Journal of Operational Research, Elsevier, vol. 269(1), pages 24-34.
    17. Nermin Kişi, 2019. "A Strategic Approach to Sustainable Tourism Development Using the A’WOT Hybrid Method: A Case Study of Zonguldak, Turkey," Sustainability, MDPI, vol. 11(4), pages 1-19, February.
    18. Pathiraja, Erandathie & Griffith, Garry & Farquharson, Robert & Faggia, Rob, 2019. "The Cost of Climate Change to Agricultural Industries: Coconuts in Sri Lanka," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 10(05), December.
    19. Ayodele, T.R. & Ogunjuyigbe, A.S.O. & Odigie, O. & Munda, J.L., 2018. "A multi-criteria GIS based model for wind farm site selection using interval type-2 fuzzy analytic hierarchy process: The case study of Nigeria," Applied Energy, Elsevier, vol. 228(C), pages 1853-1869.
    20. V. Srinivasan & G. Shainesh & Anand K. Sharma, 2015. "An approach to prioritize customer-based, cost-effective service enhancements," The Service Industries Journal, Taylor & Francis Journals, vol. 35(14), pages 747-762, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:waterr:v:33:y:2019:i:5:d:10.1007_s11269-019-2195-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.