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Numerical Study on the Surface Movement Regularity of Deep Mining Underlying the Super-Thick and Weak Cementation Overburden: A Case Study in Western China

Author

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  • Yaqiang Gong

    (School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China
    State Key Laboratory for Geomechanics and Deep Underground Engineering, Xuzhou 221116, China)

  • Guangli Guo

    (School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China
    State Key Laboratory for Geomechanics and Deep Underground Engineering, Xuzhou 221116, China)

  • Liping Wang

    (School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China)

  • Guojian Zhang

    (School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China)

  • Guangxue Zhang

    (Ying-Pan-Hao Coal Mine, Yankuang Energy Group Company Limited, Ordos 017300, China)

  • Zhen Fang

    (Ying-Pan-Hao Coal Mine, Yankuang Energy Group Company Limited, Ordos 017300, China)

Abstract

While surface movement regularities have been sufficiently understood in the mining practices of eastern China, the case seems to be very different in western China where the super-thick and weak cementation (STWC) overburden exists. To better understand such knowledge, we compared geomining conditions and surface subsidence data for 16 coal mines and developed a carefully calibrated numerical model, with primary concern the relationship between subsidence rate and mining scale. We find that mining under the STWC overburden is characterized by the extremely small subsidence rate compared to the deep mining cases in eastern China, and the unusual subsidence phenomenon should be regional rather than an isolated case. We also find that the critical subsidence basin can be formed only when the goaf length and width both reach about 3.3 h (h is the average mining depth), which is far beyond the conventional understanding. We suggest that the large-scale mining under the STWC overburden carries enormous risks, which require great attention. The reported data, findings, and suggestions in this paper should be quite useful for coal mines with similar geomining conditions, and are also important for ecological protection and sustainable development of western China.

Suggested Citation

  • Yaqiang Gong & Guangli Guo & Liping Wang & Guojian Zhang & Guangxue Zhang & Zhen Fang, 2022. "Numerical Study on the Surface Movement Regularity of Deep Mining Underlying the Super-Thick and Weak Cementation Overburden: A Case Study in Western China," Sustainability, MDPI, vol. 14(3), pages 1-14, February.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:3:p:1855-:d:743113
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    References listed on IDEAS

    as
    1. Yaqiang Gong & Guangli Guo & Guojian Zhang & Kaikai Guo & Qiu Du & Liping Wang, 2021. "A Vertical Joint Spacing Calculation Method for UDEC Modeling of Large-Scale Strata and Its Influence on Mining-Induced Surface Subsidence," Sustainability, MDPI, vol. 13(23), pages 1-14, December.
    2. Guojian Zhang & Guangli Guo & Yi’nan Lv & Yaqiang Gong, 2020. "Study on the Strata Movement Rule of the Ultrathick and Weak Cementation Overburden in Deep Mining by Similar Material Simulation: A Case Study in China," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-21, April.
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    Cited by:

    1. Jia Liu & Fengshan Ma & Jie Guo & Guang Li & Yewei Song & Yang Wan, 2022. "A Field Study on the Law of Spatiotemporal Development of Rock Movement of Under-Sea Mining, Shandong, China," Sustainability, MDPI, vol. 14(10), pages 1-13, May.
    2. Lintian Miao & Zhonghui Duan & Yucheng Xia & Rongjun Du & Tingting Lv & Xueyang Sun, 2022. "Analysis of Factors Influencing Mining Damage Based on Engineering Detection and Machine Learning," Sustainability, MDPI, vol. 14(15), pages 1-23, August.

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