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A New Approach for Dam Safety Assessment Using the Extended Cloud Model

Author

Listed:
  • Liansheng Sang

    (Hefei University of Technology)

  • Jun Wang

    (Hefei University of Technology)

  • Jueyi Sui

    (University of Northern British Columbia)

  • Mauricio Dziedzic

    (University of Northern British Columbia)

Abstract

To address the uncertainty problem in the assessment of the overall safety trend of dams and in the selection of safety trend warning indicators, an Extended Cloud Model (ECM) combined with the Extended Analytic Hierarchy Process (EAHP) method is proposed in this study. In this new approach, different factors reflecting dam safety monitoring have been considered as a fuzzy system. Considering the characteristics of the forward cloud model and the backward cloud model, the original data have been extended to classify the division interval and determine the respective indicators. The weight distribution for each indicator level has been determined using the EAHP method. The model developed was applied to evaluate the safety trend of the Jilintai concrete panel rockfill dam. Simulation results showed that the proposed model can generate reliable results, in addition to being used to assess the uncertainty problem and the safety warning indicator. The proposed model is also more flexible and easier to use than other methods.

Suggested Citation

  • Liansheng Sang & Jun Wang & Jueyi Sui & Mauricio Dziedzic, 2022. "A New Approach for Dam Safety Assessment Using the Extended Cloud Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(15), pages 5785-5798, December.
    • Handle: RePEc:spr:waterr:v:36:y:2022:i:15:d:10.1007_s11269-022-03124-1
    DOI: 10.1007/s11269-022-03124-1
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    References listed on IDEAS

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    1. Thomas L. Saaty & Lei Zhang, 2016. "The Need for Adding Judgment in Bayesian Prediction," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(04), pages 733-761, July.
    2. 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.
    3. Julia Caon Araujo & Fabio Ferreira Dias, 2021. "Multicriterial method of AHP analysis for the identification of coastal vulnerability regarding the rise of sea level: case study in Ilha Grande Bay, Rio de Janeiro, Brazil," 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(1), pages 53-72, May.
    4. Huaizhi Su & Xiaoqun Yan & Hongping Liu & Zhiping Wen, 2017. "Integrated Multi-Level Control Value and Variation Trend Early-Warning Approach for Deformation Safety of Arch Dam," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(6), pages 2025-2045, April.
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    Cited by:

    1. Miloš Milašinović & Damjan Ivetić & Milan Stojković & Dragan Savić, 2023. "Failure Conditions Assessment of Complex Water Systems Using Fuzzy Logic," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(3), pages 1153-1182, February.
    2. Wenbing Zhang & Hanhan Li & Danda Shi & Zhenzhong Shen & Shan Zhao & Chunhui Guo, 2023. "Determination of Safety Monitoring Indices for Roller-Compacted Concrete Dams Considering Seepage–Stress Coupling Effects," Mathematics, MDPI, vol. 11(14), pages 1-18, July.

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