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Surface subsidence prediction method of backfill-strip mining in coal mining

  • Xiaojun ZhuEmail author
  • Guangli Guo
  • Hui Liu
  • Xiaoyu Yang
Original Paper
  • 7 Downloads

Abstract

Intensive and massive coal mining causes a series of geological hazards and environmental problems, especially surface subsidence. In recent years, backfill-strip mining has been applied to control mining subsidence in order to realize sustainable development of the mining environment. To accurately predict the surface subsidence of backfill-strip mining, a prediction method of subsidence superposition of backfill-strip mining is proposed on the basis of the traditional probability integral method prediction model. In analyzing the distribution of the actual subsidence space, the surface subsidence problem of backfill-strip mining can be regarded as the superposition of surface subsidence caused by backfill mining and strip mining. Then, the appropriate prediction parameters will be chosen, and the surface subsidence caused by the backfill mining and strip mining will be predicted separately. The surface subsidence values of the backfill-strip mining are equal to the superposition subsidence values predicted by the backfill mining and strip mining prediction method at the same surface location. A similar material model and a numerical simulation model have been built to verify the feasibility and accuracy of the superposition prediction method. The comparison results of the surface subsidence values show that the superposition surface subsidence prediction method is reasonable. The average relative error of this superposition prediction method is less than 6.7%, and its accuracy is 3.9%~11.4% higher than that of the conventional prediction method. The superposition prediction method can satisfy the precision requirement of engineering applications. This study provides a scientific technical reference for safe mining engineering design and surface disaster protection for backfill-strip mining.

Keywords

Backfill-strip mining Coal underground mining Surface subsidence Prediction method Probability integral method 

Notes

Acknowledgements

Financial support for this work, provided by the National Natural Science Foundation of China (51804001), the Key University Science Research Project of Anhui Province (KJ2017A038), Natural Science Foundation of Anhui Province (1808085QE147) and PhD Research Startup Foundation of Anhui University (J01003225) are gratefully acknowledged.

References

  1. Abdelhadi K, Latifa O, Khadija B, Lahcen B (2016) Valorization of mining waste and tailings through paste backfilling solution, Imiter operation, Morocco. Int J Min Sci Technol 26(3):511–516CrossRefGoogle Scholar
  2. Bian ZF, Miao XX, Lei SG, Chen SE, Wang WF, Struthers S (2012) The challenges of reusing mining and mineral-processing wastes. Science 337(6095):702–703CrossRefGoogle Scholar
  3. Chen SJ, Guo WJ, Zhou H, Wen GH (2011) Structure model and movement law of overburden during strip pillar mining backfill with cream-body. J China Coal Soc 07:1081–1086 (in Chinese)Google Scholar
  4. Chen SJ, Yin DW, Cao FW, Liu Y, Ren KQ (2016) An overview of integrated surface subsidence-reducing technology in mining areas of China. Nat Hazards 81(2):1129–1145CrossRefGoogle Scholar
  5. Chen Y, Zhang J, Zhou A, Yin B (2018) Modeling and analysis of mining subsidence disaster chains based on stochastic petri nets. Nat Hazards 6(1):1–23Google Scholar
  6. China National Bureau of Coal Industry (2017) Rules for the mine extraction and coal pillars establishment under buildings, water bodies, railways and main laneways. China Coal Industry Press, Beijing (in Chinese)Google Scholar
  7. Cui XM, Deng KZ (2017) Research review of predicting theory and method for coal mining subsidence. Coal Sci Technol 01:160–169 (in Chinese)Google Scholar
  8. Dong X, Huang YC, Zhao WP, Liu G (2018) Research on safety of backfill mining strip pillars under villages. China Saf Sci J 28(8):117–112 (in Chinese)Google Scholar
  9. Gao F, Zhou KP, Dong WJ, Su JH (2008) Similar material simulation of time series system for induced caving of roof in continuous mining under backfill. J Cent S Univ Technol 15(3):356–360CrossRefGoogle Scholar
  10. Ghabraie B, Ren G, Zhang X, Smith J (2015) Physical modelling of subsidence from sequential extraction of partially overlapping longwall panels and study of substrata movement characteristics. Int J Coal Geol 140:71–83CrossRefGoogle Scholar
  11. Ghasemi E, Ataei M, Shahriar K (2014) An intelligent approach to predict pillar sizing in designing room and pillar coal mines. Int J Rock Mech Min 65(2):86–95CrossRefGoogle Scholar
  12. Guo GL, Wang YH, Ma ZG (2004a) A new method for ground subsidence control in coal mining. J China Univ Min Technol 33:150–153CrossRefGoogle Scholar
  13. Guo ZZ, Xie HP, Wang JZ (2004b) Applying probability distribution density function to predict the surface subsidence caused by subcritical extraction. J China Coal Soc 29(2):155–158 (in Chinese)Google Scholar
  14. Guo WB, Deng KZ, Zou YF (2005) Research on surface movement parameters of strip-partial mining. J China Coal Soc 2:182–186 (in Chinese)Google Scholar
  15. Guo GL, Feng WK, Zha JF, Liu YX, Wang Q (2011) Subsidence control and farmland conservation by solid backfilling mining technology. Trans Nonferrous Metals Soc S3(21):S665–S669CrossRefGoogle Scholar
  16. Guo GL, Zhu XJ, Zha JF (2014) Subsidence prediction method based on equivalent mining height theory for solid backfilling mining. Trans Nonferrous Metals Soc 24(10):3302–3308CrossRefGoogle Scholar
  17. Huang QX (2002) Ground pressure behavior and definition of shallow seams. Chin J Rock Mech Eng 21(8):1174–1177 (in Chinese)Google Scholar
  18. Huang QX, Lai JQ (2016) Study on mechanical model of aquifuge beam supported by filling strip in the water preserved mining. J Min Saf Eng 33(04):592–596 (in Chinese)Google Scholar
  19. Huang J, Tian CY, Xing LF, Bian ZF, Miao XX (2017) Green and sustainable mining: underground coal mine fully mechanized solid dense stowing-mining method. Sustainability-Basel 9(8):1–18Google Scholar
  20. Lamich D, Marschalko M, Yilmaz I, Bednářová P, Niemiec D, Kubečka K, Mikulenka V (2016) Subsidence measurements in roads and implementation in land use plan optimisation in areas affected by deep coal mining. Environ Earth Sci 75(1):1–11CrossRefGoogle Scholar
  21. Mitchell RJ, Olsen RS, Smith JD (1983) Model studies on cemented tailings used in mine backfill. Int J Rock Mech Min 20(1):14–28CrossRefGoogle Scholar
  22. Peng SS (2013) Coal mine ground control. China University of Mining Technology Press, XuzhouGoogle Scholar
  23. Rošer J, Potočnik D, Vulić M (2018) Analysis of dynamic surface subsidence at the underground coal mining site in Velenje, Slovenia through modified sigmoidal function. Minerals-Basel 8(2):74CrossRefGoogle Scholar
  24. Salmia EF, Nazemb M, Karakusc M (2017) Numerical analysis of a large landslide induced by coal mining subsidence. Eng Geol 30(1):141–152CrossRefGoogle Scholar
  25. Wang N, Wu K, Qin ZF (2012) Prediction model of mining subsidence with probability integration method based on thickness influences of loose layer. Coal Sci Technol 40(7):10–16 (in Chinese)Google Scholar
  26. Wang L, Li N, Zhang XN (2015) Surface subsidence quantitative control method of shallow buried coal mining with strip mining solid backfilling. Saf Coal Mines 46(11):31–34 (in Chinese)Google Scholar
  27. Wu K, Ge JX, Zhou M, Yu FD (1998) Some modifications of using probability integral method to predicate model. J China Coal Soc 23(1):33–36 (in Chinese)Google Scholar
  28. Xie WB, Shi ZF, Chen XX, Zheng BS (2004) Analysis of surrounding rock activities in partial backfill mining. J China Univ Min Technol 33(2):38–41 (in Chinese)Google Scholar
  29. Xu JL, You Q, Zhu WB, Li XS, Lai WQ (2007) Theorectical study of strip-filling to control mining subsidence. J China Coal Soc 02:119–122 (in Chinese)Google Scholar
  30. Zhai SC, Liu H, He CG (2012) Surface subsidence prediction of insufficiency mining based on probalility integration method. Saf Coal Mines 43(06):29–31 (in Chinese)Google Scholar
  31. Zhang D (2010) Exploitation of photogrammetry measurement system. Opt Eng 49(3):263–276Google Scholar
  32. Zhang Q, Liu H, Zhai SC, Zheng LG, Chen YC (2017) Design and effect evaluation of the filling strip mining scheme under buildings. Metal Mine 496(10):105–109 (in Chinese)Google Scholar
  33. Zhu XJ, Guo G, Qian Z, Fang Q (2015) Simulation analysis of strata movement characteristics of backfill-strip mining. J Mines Met Fuels 63(11):411–418Google Scholar
  34. Zhu XJ, Guo GL, Zha JF, Chen T, Fang Q, Yang XY (2016) Surface dynamic subsidence prediction model of solid backfill mining. Environ Earth Sci 75(12):1–9CrossRefGoogle Scholar
  35. Zhu XJ, Guo GL, Liu H, Chen T, Yang XX (2018) Experimental research on strata movement characteristics of backfill–strip mining using similar material modeling. Bull Eng Geol EnvironGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • Xiaojun Zhu
    • 1
    • 2
    • 3
    Email author
  • Guangli Guo
    • 3
  • Hui Liu
    • 1
    • 2
  • Xiaoyu Yang
    • 4
  1. 1.Collaborative Innovation Center for Mines Environmental Remediation and Wetland Ecological SecurityAnhui UniversityHefeiPeople’s Republic of China
  2. 2.School of Resources and Environmental EngineeringAnhui UniversityHefeiPeople’s Republic of China
  3. 3.School of Environment Science and Spatial InformationChina University of Mining and TechnologyXuzhouPeople’s Republic of China
  4. 4.Department of Engineering ManagementHefei College of Finance and EconomicsHefeiPeople’s Republic of China

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