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A Comprehensive Evaluation of Resilience in Abandoned Open-Pit Mine Slopes Based on a Two-Dimensional Cloud Model with Combination Weighting

Author

Listed:
  • Liangxing Jin

    (School of Civil Engineering, Central South University Railway Campus, Central South University, No. 22, Shaoshan South Rd., Changsha 410075, China)

  • Pingting Liu

    (School of Civil Engineering, Central South University Railway Campus, Central South University, No. 22, Shaoshan South Rd., Changsha 410075, China)

  • Wenbing Yao

    (School of Civil Engineering, Central South University Railway Campus, Central South University, No. 22, Shaoshan South Rd., Changsha 410075, China)

  • Junjie Wei

    (School of Civil Engineering, Central South University Railway Campus, Central South University, No. 22, Shaoshan South Rd., Changsha 410075, China)

Abstract

The stability of abandoned open-pit mine slopes and their ecological environment are threatened owing to their fragile, complicated, and uncertain characteristics. This study establishes a novel evaluation indicator system for enhancing mine design and environmental protection insight. The weights in the system are assigned using a combined method, which consists of the game theory, the interval analytic hierarchy process (IAHP), and the entropy weight method (EWM). The IAHP is optimized by the improved radial movement optimal (IRMO) algorithm and the simulated annealing (SA) algorithm to ensure calculation stability and efficiency. Meanwhile, a two-dimensional cloud model (TDCM) is developed to obtain the slope resilience level and visualize the result. This comprehensive evaluation method is applied to three abandoned mine slopes in the Yellow River Basin, and the results demonstrate that the method can provide crucial insights for rational mine slope stabilization and ecological restoration.

Suggested Citation

  • Liangxing Jin & Pingting Liu & Wenbing Yao & Junjie Wei, 2024. "A Comprehensive Evaluation of Resilience in Abandoned Open-Pit Mine Slopes Based on a Two-Dimensional Cloud Model with Combination Weighting," Mathematics, MDPI, vol. 12(8), pages 1-26, April.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:8:p:1213-:d:1377736
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    References listed on IDEAS

    as
    1. Jiang Guo & Jiachuang Wang & Shihao Liu, 2019. "Application of an Improved Cloud Model and Distance Discrimination to Evaluate Slope Stability," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-17, August.
    2. 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.
    3. Liansheng SangJun & Jun Wang & Jueyi Sui & Mauricio Dziedzic, 2022. "Correction to: 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 5799-5799, December.
    4. Jielin Li & Cyril Chol Chol Deng & Jiye Xu & Zhongjian Ma & Pei Shuai & Liangbing Zhang, 2023. "Safety Risk Assessment and Management of Panzhihua Open Pit (OP)-Underground (UG) Iron Mine Based on AHP-FCE, Sichuan Province, China," Sustainability, MDPI, vol. 15(5), pages 1-23, March.
    5. Jingjing Pei & Wen Liu & Lu Han, 2019. "Research on Evaluation Index System of Chinese City Safety Resilience Based on Delphi Method and Cloud Model," IJERPH, MDPI, vol. 16(20), pages 1-16, October.
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    7. Mottahedi, Adel & Sereshki, Farhang & Ataei, Mohammad & Qarahasanlou, Ali Nouri & Barabadi, Abbas, 2021. "Resilience estimation of critical infrastructure systems: Application of expert judgment," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
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