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Risk Monitoring Level of Stope Slopes and Landslides in High-Altitude and Cold Mines

Author

Listed:
  • Ruichong Zhang

    (School of Resources, Environment and Materials, Guangxi University, Nanning 530004, China)

  • Shiwei Wu

    (School of Resources, Environment and Materials, Guangxi University, Nanning 530004, China)

  • Chengyu Xie

    (School of Environment and Resources, Xiangtan University, Xiangtan 411105, China)

  • Qingfa Chen

    (School of Resources, Environment and Materials, Guangxi University, Nanning 530004, China)

Abstract

To study the landslide risk of high-altitude and cold stope slopes, the slope deformation index and landslide risk standards at home and abroad for many years were analyzed and summarized. Using the unascertained measurement model, combined with the analytic hierarchy process, using the Dongbang slope of the Beizhan Iron Mine in Hejing County, Xinjiang, as the research object, the detailed geological data of the slope were obtained, and nine factors affecting the landslide risk of the slope were analyzed. When calculating the weight of each factor, the actual situation of the slope was used as the standard, and the weight of each factor was determined by the analytic hierarchy process. Then, the undetermined measurement matrix of the slope was determined by the statistical method combined with the expert scoring results. Finally, an unconfirmed measurement model for landslide risk grade evaluation of the Dongbang slope of the Beizhan Iron Mine was formed, and the landslide risk monitoring grade evaluation was carried out on the slope in the cold area. The results show that the landslide risk monitoring level of the Dongbang slope in Beizhan Iron Mine is grade II, which indicates that there is a possibility of mild landslide risk for the slope in this cold area. The research results can provide a reference for the risk level and risk assessment of high-altitude alpine slopes.

Suggested Citation

  • Ruichong Zhang & Shiwei Wu & Chengyu Xie & Qingfa Chen, 2022. "Risk Monitoring Level of Stope Slopes and Landslides in High-Altitude and Cold Mines," Sustainability, MDPI, vol. 14(13), pages 1-12, June.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:13:p:7581-:d:844575
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    References listed on IDEAS

    as
    1. Fhatuwani Sengani & Dhiren Allopi, 2022. "Accuracy of Two-Dimensional Limit Equilibrium Methods in Predicting Stability of Homogenous Road-Cut Slopes," Sustainability, MDPI, vol. 14(7), pages 1-26, March.
    2. Ruichong Zhang & Shiwei Wu & Chenyu Xie & Qingfa Chen, 2021. "Study on the Geological Condition Analysis and Grade Division of High Altitude and Cold Stope Slope," Sustainability, MDPI, vol. 13(22), pages 1-18, November.
    3. Guoyi Cui & Yan Zhang & Feihang Shi & Wenxia Jia & Bohua Pan & Changkun Han & Zhengze Liu & Min Li & Haohao Zhou, 2022. "Study of Spatiotemporal Changes and Driving Factors of Habitat Quality: A Case Study of the Agro-Pastoral Ecotone in Northern Shaanxi, China," Sustainability, MDPI, vol. 14(9), pages 1-23, April.
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    Cited by:

    1. Xuedong Zhang & Haoyun Xie & Zidong Xu & Zhaowen Li & Bo Chen, 2024. "Evaluating landslide susceptibility: an AHP method-based approach enhanced with optimized random forest modeling," 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(9), pages 8153-8207, July.
    2. Ioana Andreea Petrean & Valer Micle & Marin Șenilă, 2023. "Investigation of Sterile Mining Dumps Resulting from Ore Exploitation and Processing in Maramures County, Romania," Land, MDPI, vol. 12(2), pages 1-21, February.

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