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Risk Assessment of Coal Mine Flood Disasters Based on Projection Pursuit Clustering Model

Author

Listed:
  • Zuo Sun

    (Emergency Science Research Institute, Chinese Institute of Coal Science, Beijing 100013, China
    School of Emergency Management and Safety Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China)

  • Yingjie Liu

    (Emergency Science Research Institute, Chinese Institute of Coal Science, Beijing 100013, China)

  • Qingjie Qi

    (Emergency Science Research Institute, Chinese Institute of Coal Science, Beijing 100013, China)

  • Wengang Liu

    (Emergency Science Research Institute, Chinese Institute of Coal Science, Beijing 100013, China)

  • Dan Li

    (Emergency Science Research Institute, Chinese Institute of Coal Science, Beijing 100013, China)

  • Jiamei Chai

    (Emergency Science Research Institute, Chinese Institute of Coal Science, Beijing 100013, China)

Abstract

Previously conducted studies have established that as a disaster-bearing body, a coal mine is vulnerable to flood disasters and their consequent impacts. The purpose of this study is to put forward a quantitative evaluation method of the risk of coal mine flood disaster. Based on the scientific theory of disaster risk, a risk assessment model and index system for coal mine flood disaster was constructed, and a risk assessment method was proposed based on the projection pursuit and fuzzy cluster analysis. The results show that the risk of coal mine flood disaster was mainly determined by the hazard of disaster-causing factors, the stability of the disaster-prone environment, and the vulnerability of disaster-bearing bodies. Further research shows that the maximum daily rainfall had the greatest impact the risk of coal mine flood disaster. Therefore, the early warning mechanism should be established between the coal mine and the meteorological department to improve the fortification level. A risk assessment method of coal mine flood disaster was proposed in this study, which is of great significance for energy sustainability.

Suggested Citation

  • Zuo Sun & Yingjie Liu & Qingjie Qi & Wengang Liu & Dan Li & Jiamei Chai, 2022. "Risk Assessment of Coal Mine Flood Disasters Based on Projection Pursuit Clustering Model," Sustainability, MDPI, vol. 14(18), pages 1-18, September.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:18:p:11131-:d:907816
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    References listed on IDEAS

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    1. Ana Maria Cruz & Laura J. Steinberg & Ana Lisa Vetere-Arellano, 2006. "Emerging Issues for Natech Disaster Risk Management in Europe," Journal of Risk Research, Taylor & Francis Journals, vol. 9(5), pages 483-501, July.
    2. Andrei Shalikovskiy & Konstantin Kurganovich, 2017. "Flood hazard and risk assessment in Russia," 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. 88(1), pages 133-147, August.
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    Cited by:

    1. Zuo Sun & Qingjie Qi & Yingjie Liu, 2022. "Vulnerability Assessment of Mine Flooding Disaster Induced by Rainstorm Based on Tri-AHP," Sustainability, MDPI, vol. 14(24), pages 1-14, December.

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