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

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A Correction to this article was published on 05 November 2022

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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.

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Acknowledgements

This research is supported by the National Natural Science Foundation of China (Grant Nos. 51879065), National Energy Group Science and Technology Innovation Project of China (Grant Nos. GJNY-19-13), National Energy Group Xinjiang Jilintai Hydropower Development Co., The authors are grateful for the financial support.

Funding

This research is supported by the National Natural Science Foundation of China (Grant Nos. 51879065), National Energy Group Science and Technology Innovation Project of China (Grant Nos. GJNY-19–13), National Energy Group Xinjiang Jilintai Hydropower Development Co., The authors are grateful for the financial supports.

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Author notes

  1. Jun Wang

    Present address: School of Civil and Water Engineering, Hefei University of Technology, Hefei, China

Authors and Affiliations

  1. School of Civil and Water Engineering, Hefei University of Technology, Hefei, China

    Liansheng Sang

  2. School of Engineering, University of Northern British Columbia, Prince George, Canada

    Jueyi Sui & Mauricio Dziedzic

Authors
  1. Liansheng Sang
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  2. Jun Wang
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  3. Jueyi Sui
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  4. Mauricio Dziedzic
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Contributions

All authors contributed to this research work. Here are contributions of each author: Conceptualization: L. Sang, J. Wang, J. Sui, and M. Dziedzic; Methodology: L. Sang, J. Wang, and J. Sui; Validation: L. Sang, J. Wang, and J. Sui; Formal analysis: L.Sang and J.Wang; Investigation: L. Sang, J. Wang, and J. Sui; Resources: L. Sang, J. Wang, and J. Sui; Writing-original draft preparation: L. Sang, J. Wang, and J. Sui; Writing-review and editing: J. Sui, and M. Dziedzic; Supervision: J. Wang, and J. Sui; Funding acquisition: J.Wang. All authors have read and agreed to the published version of the manuscript.

Corresponding author

Correspondence to Jueyi Sui.

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Human and Animal Rights and Informed Consent

The study does not involve the use of humans or animals.

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The authors have no relevant financial or non-financial interests to disclose.

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The authors have no competing interests to declare that are relevant to the content of this article.

Conflict of Interest

All authors certify that they have no affiliations with or involvement in any organization or entity with any financial interest or non-financial interest in the subject matter or materials discussed in this manuscript.The authors have no financial or proprietary interests in any material discussed in this article. This manuscript is an original research work. This manuscript has never been submitted to other journals and conferences for possible publication. There is not any interest that is directly or indirectly related to this research work. There is not any potential conflict of interest.

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The original online version of this article was revised: The 2nd author's name should be "Jun Wang" (Not Jun C Wang). And the bottom of 1st page, address 2 must be corrected as "School of Engineering, University of Northern British Columbia, Prince George, CANADA" (Not China).

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Sang, L., Wang, J., Sui, J. et al. A New Approach for Dam Safety Assessment Using the Extended Cloud Model. Water Resour Manage 36, 5785–5798 (2022). https://doi.org/10.1007/s11269-022-03124-1

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