IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v120y2024i2d10.1007_s11069-023-06236-y.html
   My bibliography  Save this article

Decision-making study on risk evaluation of earth and rock dams based on ANP unascertained measurement theory

Author

Listed:
  • Feng Li

    (North China University of Water Resources and Electric Power)

  • Pengchao Zhang

    (North China University of Water Resources and Electric Power)

  • Qian Li

    (North China University of Water Resources and Electric Power
    Three Gorges University
    Chongqing Technology and Business University)

  • Zhuangyu Shen

    (Xinxiang Municipal Water Resources Bureau)

  • Xuewan Du

    (North China University of Water Resources and Electric Power)

Abstract

Earth and rock dams are susceptible to various uncertainties during their operational and managerial phases, necessitating timely assessment of their structural integrity to ensure proper safeguarding. In pursuit of an expedient, accurate, and quantitative method for evaluating the health condition of earth and rock dams, this paper introduces a novel approach based on the Analytic Network Process (ANP) unascertained measure theory, along with delineating specific evaluation procedures. Initially, an intricate risk assessment framework for earth and rock dams is constructed, comprising six distinct facets: project quality, operational management, flood damage, instability and damage, penetration Sabotage and other risk factors. Subsequently, the evaluation indices' risk values are ascertained through the application of the unconfirmed measure model, which amalgamates diverse information sources, including numerical computations, inspections, and testing. Further refinement is achieved by employing the ANP for index weighting. Ultimately, the validity of this method for assessing the risk associated with earth and rock dam projects is demonstrated through a practical case study. This empirical validation serves as a significant reference point for enhancing risk control and management strategies in the context of earth and rock dam projects.

Suggested Citation

  • Feng Li & Pengchao Zhang & Qian Li & Zhuangyu Shen & Xuewan Du, 2024. "Decision-making study on risk evaluation of earth and rock dams based on ANP unascertained measurement theory," 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. 120(2), pages 1715-1753, January.
    • Handle: RePEc:spr:nathaz:v:120:y:2024:i:2:d:10.1007_s11069-023-06236-y
    DOI: 10.1007/s11069-023-06236-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-023-06236-y
    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/s11069-023-06236-y?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.

    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:nathaz:v:120:y:2024:i:2:d:10.1007_s11069-023-06236-y. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.