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Experimental Study on Prevention and Control of Ground Fissures in Coal Mining Subsidence in Huaibei Plain of China

Author

Listed:
  • Yi Cai

    (Anhui Institute of Intelligent Underground Detection Technology, Anhui Jianzhu University, Hefei 230601, China
    College of Civil Engineering, Anhui Jianzhu University, Hefei 230601, China)

  • Hu Li

    (College of Civil Engineering, Anhui Jianzhu University, Hefei 230601, China)

  • Jiaping Yan

    (School of Surveying and Mapping, Anhui University of Science and Technology, Huainan 232001, China)

  • He Huang

    (School of Surveying and Mapping, Anhui University of Science and Technology, Huainan 232001, China)

  • Yu Feng

    (School of Surveying and Mapping, Anhui University of Science and Technology, Huainan 232001, China)

  • Houxu Huang

    (Anhui Institute of Intelligent Underground Detection Technology, Anhui Jianzhu University, Hefei 230601, China
    College of Civil Engineering, Anhui Jianzhu University, Hefei 230601, China)

Abstract

The purpose of this study was to explore the effective prevention and control method of ground fissures in plain coal mining subsidence. Firstly, the model experiment was carried out, and then two typical working faces, working face A (WF A ) and working face B (WF B ), in the Huaibei plain mining area were selected for the case study of the moisturization method. Model experimental results show that water content had a significant effect on cohesive soil fissure development, and the results of the case study show that the humidification method could effectively reduce the development degree of ground fissures. Therefore, this study provided a new approach for the effective prevention and control of ground fissures in plain coal mining subsidence.

Suggested Citation

  • Yi Cai & Hu Li & Jiaping Yan & He Huang & Yu Feng & Houxu Huang, 2022. "Experimental Study on Prevention and Control of Ground Fissures in Coal Mining Subsidence in Huaibei Plain of China," Sustainability, MDPI, vol. 14(19), pages 1-16, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:12932-:d:938059
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    References listed on IDEAS

    as
    1. Majid Mohammady & Hamid Reza Pourghasemi & Mojtaba Amiri, 2019. "Assessment of land subsidence susceptibility in Semnan plain (Iran): a comparison of support vector machine and weights of evidence data mining algorithms," 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. 99(2), pages 951-971, November.
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