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Comprehensive Diagnosis Method of the Health of Tailings Dams Based on Dynamic Weight and Quantitative Index

Author

Listed:
  • Kai Dong

    (Nanjing Hydraulic Research Institute, No. 223, Guangzhou Road, Nanjing 210029, China
    College of Water Resources & Hydropower, Sichuan University, No. 24 South Section 1, Yihuan Road, Chengdu 610065, China)

  • Zhankuan Mi

    (Nanjing Hydraulic Research Institute, No. 223, Guangzhou Road, Nanjing 210029, China
    Key Laboratory of Failure Mechanism and Safety Control Techniques of Earth-Rock Dam of the Ministry of Water Resources of P.R., No. 34, Hujuguan Road, Nanjing 210024, China)

  • Dewei Yang

    (Nanjing Hydraulic Research Institute, No. 223, Guangzhou Road, Nanjing 210029, China)

Abstract

As a dangerous source of man-made debris flow with high potential energy, tailings dams can cause huge losses to people’s lives and property downstream once they break, and their safety control problem is particularly prominent. The health diagnosis of tailings dams is a complex and nonlinear problem full of uncertainty. At present, the health diagnosis of tailings dams is mostly qualitative evaluation or quantitative analysis aiming at a single index, so this study puts forward a comprehensive quantitative diagnosis method of tailings dam health based on dynamic weight. Slope stability, deformation stability and seepage stability are taken as project layers, and the diagnosis index system of the tailings dam is constructed. The quantitative methods of diagnosis indexes of project layers are proposed. For the dam slope stability project, the safety factor and the reliability index of tailings dams are determined based on the Monte Carlo method, which can consider the uncertainty of tailings material parameters. For the deformation stability project, the normal operation values of deformation rate and deformation amount are determined by analyzing the in situ observation data and combining them with the numerical simulation results. For the seepage stability project, through the analysis of seepage and stability, the relationship curve between the depth of saturation line and the safety factor of anti-sliding stability is established. The norms method is used to determine the quantitative standards for the diagnosis indexes of the basic layer. Based on the analytical hierarchy process method and the penalty variable weight method, the method of dynamic weight of the project layer index is proposed. The proposed methods are applied to a practical engineering project. The results show that the methods can accurately reflect the health status of tailings dams. This study provides a new method for evaluating the safety of tailings dams.

Suggested Citation

  • Kai Dong & Zhankuan Mi & Dewei Yang, 2022. "Comprehensive Diagnosis Method of the Health of Tailings Dams Based on Dynamic Weight and Quantitative Index," Sustainability, MDPI, vol. 14(5), pages 1-13, March.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:5:p:3068-:d:765319
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    References listed on IDEAS

    as
    1. Liu He & Bai Gao & Xin Luo & Jimmy Jiao & Huanhuan Qin & Chunyan Zhang & Yihui Dong, 2018. "Health Risk Assessment of Heavy Metals in Surface Water near a Uranium Tailing Pond in Jiangxi Province, South China," Sustainability, MDPI, vol. 10(4), pages 1-12, April.
    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.
    3. Wen Li & Yicheng Ye & Nanyan Hu & Xianhua Wang & Qihu Wang, 2019. "Real-Time Warning and Risk Assessment of Tailings Dam Disaster Status Based on Dynamic Hierarchy-Grey Relation Analysis," Complexity, Hindawi, vol. 2019, pages 1-14, April.
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    Cited by:

    1. Longjun Dong & Yanlin Zhao & Wenxue Chen, 2022. "Mining Safety and Sustainability—An Overview," Sustainability, MDPI, vol. 14(11), pages 1-6, May.

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