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Safety Risk Assessment and Management of Panzhihua Open Pit (OP)-Underground (UG) Iron Mine Based on AHP-FCE, Sichuan Province, China

Author

Listed:
  • Jielin Li

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China)

  • Cyril Chol Chol Deng

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China)

  • Jiye Xu

    (Panzhihua Iron and Steel Group Mining Co., Ltd., Panzhihua 617000, China)

  • Zhongjian Ma

    (Panzhihua Iron and Steel Group Mining Co., Ltd., Panzhihua 617000, China)

  • Pei Shuai

    (Panzhihua Iron and Steel Group Mining Co., Ltd., Panzhihua 617000, China)

  • Liangbing Zhang

    (Panzhihua Iron and Steel Group Mining Co., Ltd., Panzhihua 617000, China)

Abstract

In order to prevent accident cases and improve safety in the mining industry, a safety risk assessment and management process is needed to identify and respond to high-risk hazards in mines. This study aims to investigate the main safety risks factors influencing the typology of accidents in the Panzhihua OP-UG iron ore mine with the concept of minimizing them, reducing injuries and fatalities, and improving prevention policies. A methodology based on the analytic hierarchy process and fuzzy comprehensive evaluation (AHP-FCE) is applied to conduct a study on the assessment and evaluation of mine safety risks. Upon investigating the safety situation at the mine site, 85 risk factors were identified, of which 49 factors were considered to be non-threatening and therefore compatible with existing control measures. The remaining potential hazards, altogether 36 factors, were ultimately categorized into six major specific groups. A mine safety index system and safety risk evaluation model are established to support the evaluation process. The results show that the overall risk level of the Panzhihua OP-UG iron mine is at a medium level with a score of 86.5%. Appropriate risk management measures were recommended for each risk factor from the perspectives of theoretical analysis, safety system optimization of mine technology, disaster prevention and control of slope failure, etc. Finally, this research serves as a great industrial value and academic significance to provide technical support for the safety production of mining enterprises. Hence, the FCE method can serve as a technique to accurately evaluate the impact of iron mine risk.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:5:p:4497-:d:1086096
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    References listed on IDEAS

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    1. Saaty, Thomas L., 2003. "Decision-making with the AHP: Why is the principal eigenvector necessary," European Journal of Operational Research, Elsevier, vol. 145(1), pages 85-91, February.
    2. Bai, Yanping & Zhang, Haixia & Hao, Yilong, 2009. "The performance of the backpropagation algorithm with varying slope of the activation function," Chaos, Solitons & Fractals, Elsevier, vol. 40(1), pages 69-77.
    3. Song, Xiaoqian & Mu, Xiaoyi, 2013. "The safety regulation of small-scale coal mines in China: Analysing the interests and influences of stakeholders," Energy Policy, Elsevier, vol. 52(C), pages 472-481.
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    Cited by:

    1. Junnan Wu & Xin Liu & Dianqi Pan & Yichen Zhang & Jiquan Zhang & Kai Ke, 2023. "Research on Safety Evaluation of Municipal Sewage Treatment Plant Based on Improved Best-Worst Method and Fuzzy Comprehensive Method," Sustainability, MDPI, vol. 15(11), pages 1-15, May.
    2. 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.
    3. Xianhui Mao & Ankui Hu & Rui Zhao & Fei Wang & Mengkun Wu, 2023. "Evaluation and Application of Surrounding Rock Stability Based on an Improved Fuzzy Comprehensive Evaluation Method," Mathematics, MDPI, vol. 11(14), pages 1-19, July.

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