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Hazard identification methodology for underground coal mine risk management - Root-State Hazard Identification

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  • Liu, Quanlong
  • Peng, Yumeng
  • Li, Zhiyang
  • Zhao, Pan
  • Qiu, Zunxiang

Abstract

Hazard identification is the basis and premise of underlying risk management in underground coal mines. Although a large amount of research has been conducted on hazard identification methods applied to underground coal mines, additional improvements are possible. The traditional hazard identification methods apply to a specific incident or event or are based on experience and therefore lack a systematic and comprehensive identification framework. In this paper, the Root-State Hazard Identification (RSHI) method is proposed to solve the above issues and identify the hazards in underground coal mine risk management. Firstly, the paper categorizes the underground coal mine hazards into root hazards and state hazards and then differentiates their internal relationships. Secondly, the paper explores the relationships among the hazards, risks and accidents in detail. Thirdly, the framework of the RSHI method is proposed based on the hazard classification and relationships among the hazards, risks and accidents. Finally, the proposed RSHI method is applied to identify hazards associated with the risk management of six mines that belong to the Yima Coal Industry Group in China. The results indicate that the RSHI method is capable of comprehensively identifying root hazards and state hazards associated with the underground coal mine risk management. Moreover, its application procedure is simple and convenient and reduces the need for the joint identification and coordination of various types of workers.

Suggested Citation

  • Liu, Quanlong & Peng, Yumeng & Li, Zhiyang & Zhao, Pan & Qiu, Zunxiang, 2021. "Hazard identification methodology for underground coal mine risk management - Root-State Hazard Identification," Resources Policy, Elsevier, vol. 72(C).
  • Handle: RePEc:eee:jrpoli:v:72:y:2021:i:c:s0301420721000696
    DOI: 10.1016/j.resourpol.2021.102052
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    References listed on IDEAS

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    1. Aven, Terje, 2010. "On how to define, understand and describe risk," Reliability Engineering and System Safety, Elsevier, vol. 95(6), pages 623-631.
    2. Aven, Terje, 2011. "On the new ISO guide on risk management terminology," Reliability Engineering and System Safety, Elsevier, vol. 96(7), pages 719-726.
    3. Cheng-Wu Chen & Kevin Liu & Chun-Pin Tseng & Wen-Ko Hsu & Wei-Ling Chiang, 2012. "Hazard management and risk design by optimal statistical analysis," 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. 64(2), pages 1707-1716, November.
    4. Aven, Terje, 2012. "The risk concept—historical and recent development trends," Reliability Engineering and System Safety, Elsevier, vol. 99(C), pages 33-44.
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    Cited by:

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    2. Xiong, Yachao & Qi, Hui & Li, Zequan & Zhang, Qiuhan, 2023. "Where risk, where capability? Building the emergency management capability structure of coal mining enterprises based on risk matching perspective," Resources Policy, Elsevier, vol. 83(C).
    3. Jiskani, Izhar Mithal & Yasli, Fatma & Hosseini, Shahab & Rehman, Atta Ur & Uddin, Salah, 2022. "Improved Z-number based fuzzy fault tree approach to analyze health and safety risks in surface mines," Resources Policy, Elsevier, vol. 76(C).
    4. Li, Wanzhen & Zhou, Lujie & Hao, Jian & Yu, Kai & Chen, Jing & Liu, Pingping & Feng, Rui, 2023. "Dynamic simulation and control strategy exploration of the unsafe behavior of coal mine employees," Resources Policy, Elsevier, vol. 86(PA).
    5. Geng Zhang & Jin Guo & Yue Tan & Guohua Chen & Chilou Zhou & Wei Li & Li Xia, 2022. "Safety Analysis and Evaluation of Hydrogen Cylinder Periodic Inspection Station," Energies, MDPI, vol. 15(18), pages 1-9, September.

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