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Building risk precontrol management systems for safety in China's underground coal mines

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  • Liu, Quanlong
  • Dou, Fenfen
  • Meng, Xianfei

Abstract

Mining remains one of the most hazardous occupations in China, and underground coal mines are especially notorious for their high accident rates. China's safety management models consist mostly of passive management, namely, management during or after an accident, not before. Furthermore, accidents, hidden dangers, or “three violations”, not hazards, are managed, and China's management methods are primarily based on experience or institutions, not precontrol. In this paper, a risk precontrol management system for safety in underground coal mines was built to resolve the above issues by studying the risk precontrol continuum, polarized hazard management, the development and evolution of safety management, and accident causes. Specifically, the risk precontrol management system for safety in underground coal mines uses hazard identification and risk assessment as its basis, risk precontrol as its core, and unsafe behaviour control as its focus. The system is composed of four main parts: scope, normative reference documents, terms and definitions, and management elements and requirements. Thus, the management elements and requirements are the core of the system, which consists of 8 first-level basics and 46 s-level basics. Moreover, an illustration is provided to show the process of building a risk precontrol management system for safety in underground coal mines. In addition, the application software--Risk Precontrol Management System for Safety--was developed and applied by the Shen Hua Ningxia Coal Industry Group in China. The technological system and application software achieved good results.

Suggested Citation

  • Liu, Quanlong & Dou, Fenfen & Meng, Xianfei, 2021. "Building risk precontrol management systems for safety in China's underground coal mines," Resources Policy, Elsevier, vol. 74(C).
  • Handle: RePEc:eee:jrpoli:v:74:y:2021:i:c:s0301420717305056
    DOI: 10.1016/j.resourpol.2020.101631
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    Citations

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    Cited by:

    1. Wang, Yuxin & Fu, Gui & Lyu, Qian & Wu, Yali & Jia, Qinsong & Yang, Xiaoyu & Li, Xiao, 2022. "Reform and development of coal mine safety in China: An analysis from government supervision, technical equipment, and miner education," Resources Policy, Elsevier, vol. 77(C).
    2. Xingbang Qiang & Guoqing Li & Jie Hou & Xia Zhang & Yujia Liu, 2023. "Intelligent Safety Risk Analysis and Decision-Making System for Underground Metal Mines Based on Big Data," Sustainability, MDPI, vol. 15(13), pages 1-15, June.
    3. 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).
    4. Fangtian Wang & Hongfei Qu & Wei Tian & Shilei Zhai & Liqiang Ma, 2022. "Ethical Construction and Development of Mining Engineering Based on the Safe, Efficient, Green, and Low-Carbon Concept," Sustainability, MDPI, vol. 14(21), pages 1-14, October.
    5. Liu, Quanlong & Shang, Jianping & Wang, Jingzhi & Niu, Weichao & Qiao, Wanguan, 2023. "Evaluation and prediction of the safety management efficiency of coal enterprises based on a DEA-BP neural network," Resources Policy, Elsevier, vol. 83(C).
    6. Zhang, Yan & Wang, Yu-Hao & Zhao, Xu & Tong, Rui-Peng, 2023. "Dynamic probabilistic risk assessment of emergency response for intelligent coal mining face system, case study: Gas overrun scenario," Resources Policy, Elsevier, vol. 85(PB).
    7. 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).
    8. Kai Yu & Lujie Zhou & Pingping Liu & Jing Chen & Dejun Miao & Jiansheng Wang, 2022. "Research on a Risk Early Warning Mathematical Model Based on Data Mining in China’s Coal Mine Management," Mathematics, MDPI, vol. 10(21), pages 1-20, October.

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