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Characteristics of faults in the Liangzhuang mining area and their control on karst development in Ordovician limestones

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Abstract

On the basis of the analysis of fault distribution characteristics in the Liangzhuang minefield, the site, channel, site distribution, and probability of karst water inrush from the Ordovician limestone affected by fault type, fault drop and fault dip is expounded. First, authors introduce methods of fault influencing factors and fault fractal dimension by synthesizing these faultage elements mentioned above. Next, the quantitative study of fault development characteristics in the Liangzhuang minefield is carried out using nonlinear theory, which reveals the intrinsic relationship between fault and karst fissure developing in the Ordovician limestone. Ultimately, through a combination of microslice identification and macrogeophysical analysis, the horizontal and vertical distribution regularities of Ordovician limestone karst fissures in the Liangzhuang minefield are studied, that is, the horizontal distribution shows discontinuity, and the vertical distribution shows relative continuity from the top interface of Ordovician limestone down the depth from 10 m to 40 m. This research can play an important guiding role in predicting water inrush from the Ordovician limestone karst during mining deep coal seam.

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References

  • Cao QG, Jia B, Chen H et al (2013) Multi-level control technology of coal mine accident risk. Disaster Adv 6:37–44

    Google Scholar 

  • Chen SJ, Guo WJ, Zhou H et al (2014) Field investigation of long-term bearing capacity of strip coal pillars. Int J Rock Mech Min Sci 70:109–114

    Article  Google Scholar 

  • Cheng JL, Sun XY, Zheng G et al (2013a) Numerical simulations of water-inrush induced by fault activation during deep coal mining based on fluid-solid coupling interaction. Disaster Advances 6:10–14

    Google Scholar 

  • Cheng WM, Yu YB, Wan CX et al (2013b) Study on on seepage properties of coal under the role of high pore water pressure. Disaster Adv 6:350–357

    Google Scholar 

  • Gao LH, Han ZZ, Han Y et al (2013) Controlling of cements and physical property of sandstone by fault as observed in well Xia503 of Huimin sag, Linnan sub-depression. Sci China Earth Sci 56:1942–1952

    Article  Google Scholar 

  • Gao WF, Shi LQ, Han J et al (2020) Study on control water of Ordovician aquifer: a coal mine of Feicheng mining area, China. Carbonates Evaporites 35:48. https://doi.org/10.1007/s13146-020-00588-3

    Article  Google Scholar 

  • Jiang LS, Zhang PP, Chen LJ et al (2017) Numerical approach for goaf-side entry layout and yield pillar design in fractured ground conditions. Rock Mech Rock Eng 50:3049–3071

    Article  Google Scholar 

  • Li HB, Lv YX, Wang G et al (2013) Study on hydro-mechanical coupling interaction of the fractured rock. Disaster Adv 6:302–309

    Google Scholar 

  • Li ZX, Wang DD, Lv DW et al (2018) The geologic settings of Chinese coal deposits. Int Geol Rev 60:548–578

    Article  Google Scholar 

  • Lu CP, Liu Y, Zhang N et al (2018) In-situ and experimental investigations of rockburst precursor and prevention induced by fault slip. Int J Rock Mech Min Sci 108:86–95

    Article  Google Scholar 

  • Lv DW, Chen JT, Li ZX et al (2014) Controlling factors, accumulation model and target zone prediction of the coal-bed methane in the Huanghebei coalfield, North China. Resour Geol 64:332–345

    Article  Google Scholar 

  • Qiu M, Shi LQ, Teng C et al (2017) Assessment of water inrush risk using the fuzzy delphi analytic hierarchy process and grey relational analysis in the Liangzhuang coal mine, China. Mine Water Environ 36:39–50

    Article  Google Scholar 

  • Qu XY, Qiu M, Liu JH et al (2019) Prediction of maximal water bursting discharge from coal seam floor based on multiple nonlinear regression analysis. Arab J Geoences 12(18):1–20

    Google Scholar 

  • Shen BT (2014) Coal mine roadway stability in soft rock: a case study. Rock Mech Rock Eng 47:2225–2238

    Article  Google Scholar 

  • Shi LQ, Teng C, Li CS, Wang DD (2015) Influence of fault quantitative on water inrush at floor limestone in Huaheng coal mine. Saf Coal Mines 46:23–26 (in Chinese)

    Google Scholar 

  • Sun WJ, Wu Q, Liu HL et al (2015) Prediction and assessment of the disturbances of the coal mining in Kailuan to karst groundwater system. Phys Chem Earth 89–90:136–144

    Article  Google Scholar 

  • Tan YL, Zhao TB, Xiao YX et al (2010) Researches on floor stratum fracturing induced by antiprocedure mining underneath close-distance goaf. J Min Sci 46:250–259

    Article  Google Scholar 

  • Tan YL, Zhang Z, Zhao TB (2011) AE pattern of rock burst disaster induced by strata activation in coal mine. Disaster Adv 4:29–33

    Google Scholar 

  • Tan YL, Yu FH, Chen L (2013) A new approach for predicting bedding separation of roof strata in underground coalmines. Int J Rock Mech Min Sci 61:183–188

    Article  Google Scholar 

  • Wang X, Meng FB (2018) Statistical analysis of large accidents in China’s coal mines in 2016. Nat Hazards 92:311–325

    Article  Google Scholar 

  • Wang G, Wu MM, Wang R et al (2017a) Height of the mining-induced fractured zone above a coal face. Eng Geol 216:140–152

    Article  Google Scholar 

  • Wang J, Ning JG, Jiang LS et al (2017b) Effects of main roof fracturing on energy evolution during the extraction of thick coal seems in deep longwall faces. Acta Geodyn Et Geomater 14:377–387

    Article  Google Scholar 

  • Wang P, Jiang LS, Zheng PQ (2017c) Application of equivalent materials to modeling fractures in the vicinity of a normal fault in the area of mining exploitation influence. Acta Geodyn Et Geomater 14:475–485

    Article  Google Scholar 

  • Wu Q, Wang JH, Liu DH et al (2009) A new practical methodology of the coal floor water bursting evaluating IV: the application of AHP vulnerable index method based on GIS. J China Coal Soc 34:233–238 (in Chinese)

    Google Scholar 

  • Wu QS, Jiang LS, Wu QL (2017) Study on the law of mining stress evolution and fault activation under the influence of normal fault. Acta Geodyn Et Geomater 14:357–369

    Article  Google Scholar 

  • Xiao HT, Yue ZQ (2011) A three-dimensional displacement discontinuity method for crack problems in layered rocks. Int J Rock Mech Min Sci 48:412–420

    Article  Google Scholar 

  • Xue Y, Gao F, Liu XG (2015) Effect of damage evolution of coal on permeability variation and analysis of gas outburst hazard with coal mining. Nat Hazards 79:999–1013

    Article  Google Scholar 

  • Yang ST, Wei JC, Cheng JL et al (2016) Numerical simulations of full-wave fields and analysis of channel wave characteristics in 3-D coal mine roadway models. Appl Geophys 13:621–630

    Article  Google Scholar 

  • Yu B, Zhao J, Fang K et al (2016) Rock strength evaluation during progressive failure process based on fractural characterization. Mar Georesour Geotechnol 34:759–763

    Article  Google Scholar 

  • Yu XG, Pei FH, Han J et al (2018) Ordovician limestone karst development law in Feicheng coal field. Environ Earth Sci 77:781–793

    Article  Google Scholar 

  • Zhao TB, Zhang ZY, Tan YL et al (2014) An innovative approach to thin coal seam mining of complex geological conditions by pressure regulation. Int J Rock Mech Min Sci 71:249–257

    Article  Google Scholar 

  • Zhao TB, Guo WY, Tan YL et al (2018) Case studies of rock bursts under complicated geological conditions during multi-seam mining at a depth of 800 m. Rock Mech Rock Eng 51:1539–1564

    Article  Google Scholar 

Download references

Acknowledgements

The authors thank all the experts for their careful work and thoughtful suggestions. We gratefully acknowledge the financial support of the National Natural Science Foundation of China (41572244), (41807283) and (51804184), the Scientific Research Foundation of Shandong University of Science and Technology for Recruited Talents (2017RCJJ033), the Open Fund Research Project of State Key Laboratory of Mining Disaster Prevention and Control co-founded by Shandong Province and the Ministry of Science and Technology (MDPC2017ZR05) and the Taishan Scholars Construction Projects.

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Authors and Affiliations

  1. College of Earth Science and Engineering, Shandong University of Science and Technology, Qingdao, 266590, China

    Xingyue Qu, Longqing Shi & Mei Qiu

  2. Shandong Provincial Key Laboratory of Depositional Mineralization and Sedimentary Minerals, Qingdao, 266590, China

    Xingyue Qu, Longqing Shi & Mei Qiu

  3. Department of Resource and Civil Engineering, Shandong University of Science and Technology, Tai’an, 271019, China

    Weifu Gao

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  1. Xingyue Qu
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  2. Longqing Shi
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  4. Mei Qiu
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Correspondence to Longqing Shi.

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Qu, X., Shi, L., Gao, W. et al. Characteristics of faults in the Liangzhuang mining area and their control on karst development in Ordovician limestones. Carbonates Evaporites 35, 118 (2020). https://doi.org/10.1007/s13146-020-00656-8

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