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Calculation Model for Progressive Residual Surface Subsidence above Mined-Out Areas Based on Logistic Time Function

Author

Listed:
  • Chunyi Li

    (School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China)

  • Laizhong Ding

    (School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China)

  • Ximin Cui

    (College of Geoscience and Surveying Engineering, China University of Mining & Technology, Beijing 100083, China)

  • Yuling Zhao

    (School of Mining & Geomatics, Hebei University of Engineering, Handan 056038, China)

  • Yihang He

    (School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China)

  • Wenzhi Zhang

    (School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China)

  • Zhihui Bai

    (Jizhong Energy Fengfeng Mining Group Co., Ltd., Handan 056107, China)

Abstract

The exploitation of underground coal resources has stepped up local economic and social development significantly. However, it was inevitable that time-dependent surface settlement would occur above the mined-out voids. Subsidence associated with local geo-mining can last from several months to scores of years and can seriously impact infrastructure, city planning, and underground space utilization. This paper addresses the problems in predicting progressive residual surface subsidence. The subsidence process was divided into three phases: a duration period, a residual subsidence period, and a long-term subsidence period. Then, a novel mathematical model calculating surface progressive residual subsidence was proposed based on the logistic time function. After the duration period, the residual subsidence period was extrapolated according to the threshold of the surface sinking rate. The validation for the proposed model was estimated in light of observed in situ data. The results demonstrate that the logistic time function is an ideal time function reflecting surface subsidence features from downward movement, subsidence rate, and sinking acceleration. The surface residual subsidence coefficient, which plays a crucial role in calculating surface settling, varies directly with model parameters and inversely with time. The influence of the amount of in situ data on predicted values is pronounced. Observation time for surface subsidence must extend beyond the active period. Thus back-calculated parameters with in situ measurement data can be reliable. Conversely, the deviation between predictive values and field-based ones is significant. The conclusions in this study can guide the project design of surface subsidence measurement resulting from longwall coal operation. The study affords insights valuable to land reutilization, city planning, and stabilization estimation of foundation above an abandoned workface.

Suggested Citation

  • Chunyi Li & Laizhong Ding & Ximin Cui & Yuling Zhao & Yihang He & Wenzhi Zhang & Zhihui Bai, 2022. "Calculation Model for Progressive Residual Surface Subsidence above Mined-Out Areas Based on Logistic Time Function," Energies, MDPI, vol. 15(14), pages 1-20, July.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:14:p:5024-:d:859158
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    References listed on IDEAS

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    1. Ximin Cui & Yuling Zhao & Guorui Wang & Bing Zhang & Chunyi Li, 2020. "Calculation of Residual Surface Subsidence Above Abandoned Longwall Coal Mining," Sustainability, MDPI, vol. 12(4), pages 1-12, February.
    2. Jan Blachowski & Anna Kopeć & Wojciech Milczarek & Karolina Owczarz, 2019. "Evolution of Secondary Deformations Captured by Satellite Radar Interferometry: Case Study of an Abandoned Coal Basin in SW Poland," Sustainability, MDPI, vol. 11(3), pages 1-21, February.
    3. C. Loupasakis & V. Angelitsa & D. Rozos & N. Spanou, 2014. "Mining geohazards—land subsidence caused by the dewatering of opencast coal mines: The case study of the Amyntaio coal mine, Florina, Greece," 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. 70(1), pages 675-691, January.
    4. Dacian-Paul Marian & Ilie Onica, 2021. "Analysis of the Geomechanical Phenomena That Led to the Appearance of Sinkholes at the Lupeni Mine, Romania, in the Conditions of Thick Coal Seams Mining with Longwall Top Coal Caving," Sustainability, MDPI, vol. 13(11), pages 1-27, June.
    5. André Vervoort, 2020. "The Time Duration of the Effects of Total Extraction Mining Methods on Surface Movement," Energies, MDPI, vol. 13(16), pages 1-12, August.
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