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Source discrimination of mine water inrush using multiple methods: a case study from the Beiyangzhuang Mine, Northern China

  • Qiang Wu
  • Wenping MuEmail author
  • Yuan Xing
  • Cheng Qian
  • Jianjun Shen
  • Yang Wang
  • Dekang Zhao
Original Paper
  • 236 Downloads

Abstract

The problem of distinguishing the source of water inrush in mines and tunnels has been addressed by studying the specific case of significant water inrush along the haulage roadway of the Beiyangzhuang Mine and applying three different methods to determine the source of the water inrush from a range of angles. The first of these methods was to determine the source by analyzing the dynamic response law of the groundwater in the water filling aquifers, including a Quaternary porous aquifer and a Cambrian–Ordovician karst aquifer. The second was to establish a linear equation for stratum burial depth and ground temperature to calculate water temperature. The source of water inrush is identified by comparing the calculated water temperature for the filling aquifer and the measured water temperature at the water inrush point. The third was to analyze the hydrochemical types of the water filling aquifers and water inrush point samples using a Piper diagram, followed by Fisher discriminant analysis to discriminate water inrush sources with eight hydrochemical components; the mixture ratio is roughly evaluated based on chloride mass balance. These three methods consistently showed that the primary source of water inrush is karst water. The hydrogeochemistry discrimination analysis further indicated that the mixing ratio of karst water to pore water was about 6.0, suggesting that this method is the powerful and more practical of the three methods tested. The results presented here provide significant guidance for the management of mine water inrush.

Keywords

Source discrimination of water inrush Water filling aquifers Groundwater dynamic Groundwater temperature Hydrogeochemical characteristics Fisher discriminant analysis Mixing calculation 

Notes

Acknowledgements

This research is financially supported by the China National Natural Science Foundation (Grants 41272276, 41572222, 41602262 and 41430318), the China National Scientific and Technical Support Program (Grant 2016YFC0801800), the Beijing Natural Science Foundation (Grants 8162036 and 4142015), the Fundamental Research Funds for the Central Universities (Grant 2010YD02), the Innovation Research Team Program of the Ministry of Education (Grant IRT1085), the Project funded by China Postdoctoral Science Foundation (Grant 2016 M601172), and the State Key Laboratory of Coal Resources and Safe Mining. The authors would like to thank the editor and the reviewers for their constructive suggestions.

References

  1. Abdula RA (2017) Geothermal gradients in Iraqi Kurdistan deduced from bottom hole temperatures. Egypt J Pet 26(3):601–608Google Scholar
  2. Chemseddine F, Dalila B, Fethi B (2015) Characterization of the main karst aquifers of the Tezbent plateau, Tebessa region, northeast of Algeria, based on hydrogeochemical and isotopic data. Environ Earth Sci 74(1):1–10Google Scholar
  3. Chen HJ, Li XB, Liu AH (2009a) Studies of water source determination method of mine water inrush based on Bayes’ multi-group stepwise discriminant analysis theory. Rock Soil Mech 30(12):3655–3659 (in Chinese)Google Scholar
  4. Chen HJ, Li XB, Liu AH et al (2009b) Identifying of mine water inrush sources by fisher discriminant analysis method. J Cent South Univ 40(4):1114–1120 (in Chinese)Google Scholar
  5. Chen LW, Gui HR, Yin XX et al (2010) The standard type trace elements and the discriminant model of water bursting source in the Linhuan coal distinct. Hydrogeol Eng Geol 37(3):17–22 (in Chinese)Google Scholar
  6. Chen LW, Feng XQ, Xie WP et al (2016) Prediction of water-inrush risk areas in process of mining under the unconsolidated and confined aquifer: a case study from the Qidong coal mine in China. Environ Earth Sci 75(8):1–17Google Scholar
  7. Chen YM, Chen ZH, Yu KB (2013) To identify the recharge conditions of karst groundwater in mining area by means of groundwater table and water temperature data: a case in Makeng iron mine. Fujian Carsologica Sinica 32(1):64–72 (in Chinese)Google Scholar
  8. Cheng QS (1997) Attribute recognition theoretical model with application. Acta Sci Nat Univ Pekin 33(1):12–20 (in Chinese)Google Scholar
  9. Chiang LH, Kotanchek ME, Kordon AK (2004) Fault diagnosis based on fisher discriminant analysis and support vector machines. Comput Chem Eng 28(8):1389–1401Google Scholar
  10. Feng LJ, Li JS, Shao GQ (2002) The application of Adaline in recognition of mine water quality types. Coal Geol Exploration 30(4):35–37 (in Chinese)Google Scholar
  11. Gu HY, Ma FS, Guo J et al (2017) Assessment of water sources and mixing of groundwater in a coastal mine: the Sanshandao gold mine, China. Mine Water Environ.  https://doi.org/10.1007/s10230-017-0458-0
  12. Gültekin F, Ersoy AF, Hatipoglu E et al (2013) Quality assessment of surface and groundwater in Solaklı basin (Trabzon, Turkey). Bull Eng Geol Environ 72(2):213–224Google Scholar
  13. Guo H, Nandi AK (2006) Breast cancer diagnosis using genetic programming generated feature. Pattern Recogn 39(5):980–987Google Scholar
  14. Huang PH, Chen JS (2011) Fisher identify and mixing model based on multivariate statistical analysis of mine water inrush sources. J China Coal Soc 36(S1):131–136 (in Chinese)Google Scholar
  15. Kuroda K, Hayashi T, Do TD et al (2017) Groundwater recharge in suburban areas of Hanoi, Vietnam: effect of decreasing surface-water bodies and land-use change. Hydrogeol J 25(3):727–742Google Scholar
  16. Li LP, Lei T, Li SC et al (2014) Risk assessment of water inrush in karst tunnels and software development. Arab J Geosci 8(4):1843–1854Google Scholar
  17. Li Y, Hu FS, Xue ZQ et al (2015) Hydrogeochemical and isotopic characteristics of groundwater in the salt chemical industrial base of Guyuan City, northwestern China. Arab J Geosci 8(6):3427–3440Google Scholar
  18. Li J, Li FD, Liu Q (2017) PAHs behavior in surface water and groundwater of the Yellow River estuary: evidence from isotopes and hydrochemistry. Chemosphere 178:143–153Google Scholar
  19. Lin Y, Wu YZ, Pan GY et al (2015) Determining and plugging the groundwater recharge channel with comprehensive approach in Siwan coal mine. North China coal basin. Arab J Geosci 8(9):1–12Google Scholar
  20. Liu J, Liu D (2012) Source identification of water inrush in tunnel based on SVM. Hydrogeol Eng Geol 34(1):33–38 (in Chinese)Google Scholar
  21. Liu QS, Huang R, Lu HQ et al (2003) Kernel-based nonlinear discriminant analysis for face recognition. J Comput Sci Technol 18(6):788–795Google Scholar
  22. Liu YP, Yamanaka T (2012) Tracing groundwater recharge sources in a mountain–plain transitional area using stable isotopes and hydrochemistry. J Hydrol 464–465(10):116–126Google Scholar
  23. Ma D, Miao XX, Bai HB et al (2016) Effect of mining on shear sidewall groundwater inrush hazard caused by seepage instability of the penetrated karst collapse pillar. Nat Hazards 82(1):73–93Google Scholar
  24. Ma L, Qian JZ, Zhao WD (2014) An approach for quickly identifying water-inrush source of mine based on GIS and groundwater chemistry and temperature. Coal Geol Exploration 42(2):49–53 (in Chinese)Google Scholar
  25. Mathurin FA, Åström ME, Laaksoharju M et al (2012) Effect of tunnel excavation on source and mixing of groundwater in a coastal granitoidic fracture network. Environ Sci Technol 46(23):12779–12786Google Scholar
  26. Meng ZP, Li GQ, Xie XT (2012) A geological assessment method of floor water inrush risk and its application. Eng Geol 143:51–60Google Scholar
  27. Najib S, Fadili A, Mehdi K et al (2017) Contribution of hydrochemical and geoelectrical approaches to investigate salinization process and seawater intrusion in the coastal aquifers of Chaouia, Morocco. J Contam Hydrol 198:24–36Google Scholar
  28. Négrel P, Petelet-Giraud E, Barbier J et al (2003) Surface water–groundwater interactions in an alluvial plain: chemical and isotopic systematics. J Hydrol 277(3):248–267Google Scholar
  29. Petitta M, Primavera P, Tuccimei P et al (2011) Interaction between deep and shallow groundwater systems in areas affected by Quaternary tectonics (Central Italy): a geochemical and isotope approach. Environ Earth Sci 63(1):11–30Google Scholar
  30. Potot C, Féraud G, Schärer U et al (2012) Groundwater and river baseline quality using major, trace elements, organic carbon and Sr–Pb–O isotopes in a Mediterranean catchment: the case of the lower Var Valley (south-eastern France). J Hydrol 472:126–147Google Scholar
  31. Qian JZ, Wang L, Ma L et al (2016) Multivariate statistical analysis of water chemistry in evaluating groundwater geochemical evolution and aquifer connectivity near a large coal mine, Anhui, China. Environ Earth Sci 75(9):1–10Google Scholar
  32. Redwan M, Adbel Moneim AA (2015) Factors controlling groundwater hydrogeochemistry in the area west of Tahta, Sohag, upper Egypt. J Afr Earth Sci 118:328–338Google Scholar
  33. Subyani AM (2004) Use of chloride-mass balance and environmental isotopes for evaluation of groundwater recharge in the alluvial aquifer, Wadi Tharad, western Saudi Arabia. Environ Geol 46(6–7):741–749Google Scholar
  34. Sui WH, Liu JY, Yang SG et al (2011) Hydrogeological analysis and salvage of a deep coalmine after a groundwater inrush. Environ Earth Sci 62(4):735–749Google Scholar
  35. Sun LH (2013) Statistical analysis of hydrochemistry of groundwater and its implications for water source identification: a case study. Arab J Geosci 7(9):3417–3425Google Scholar
  36. Sun WJ, Zhou WF, Jiao J (2016) Hydrogeological classification and water inrush accidents in china’s coal mines. Mine Water Environ 35(2):214–220Google Scholar
  37. Wang LF, Hu FS, Yin LH et al (2013) Hydrochemical and isotopic study of groundwater in the Yinchuan plain, China. Environ Earth Sci 69(6):2037–2057Google Scholar
  38. Wang TT, Jeng FS, Wei L (2011) Mitigating large water ingresses into the new Yungchuen tunnel. Taiwan. Bull Eng Geol Environ 70(2):173–186Google Scholar
  39. Wang XY, Ji HY, Wang Q et al (2016) Divisions based on groundwater chemical characteristics and discrimination of water inrush sources in the Pingdingshan coalfield. Environ Earth Sci 75(10):1–11Google Scholar
  40. Wu J, Li SC, Xu ZH et al (2016) Flow characteristics and escape-route optimization after water inrush in a backward-excavated karst tunnel. Int J Geomech 17(4):04016096Google Scholar
  41. Wu Q, Wang MY (2006) Characterization of water bursting and discharge into underground mines with multilayered groundwater flow systems in the North China coal basin. Hydrogeol J 14(6):882–893Google Scholar
  42. Wu Q, Zhao DK, Wang Y et al (2017) Method for assessing coal-floor water-inrush risk based on the variable-weight model and unascertained measure theory. Hydrogeol J.  https://doi.org/10.1007/s10040-017-1614-0
  43. Xu JM, Shao JL (1988) Lecture on groundwater management: the second lesson: the classification of groundwater system and the function of unit impulse response. Geotech Investig Survey (2):46–52 (in Chinese)Google Scholar
  44. Xu B, Zhang Y, Jiang L (2012) Coupled model based on grey relational analysis and stepwise discriminant analysis for water source identification of mine water inrush. Rock Soil Mech 33(10):3122–3128 (in Chinese)Google Scholar
  45. Yang YG, Huang FC (2007) Water source determination of mine inflow based on non-linear method. J China Univ Min Technol 36(3):283–286Google Scholar
  46. Yang YY, Xu YS, Shen SL et al (2015) Mining-induced geo-hazards with environmental protection measures in Yunnan, China: an overview. Bull Eng Geol Environ 74(1):141–150Google Scholar
  47. Yin SX, Zhang JC, Liu DM (2015) A study of mine water inrushes by measurements of in situ stress and rock failures. Nat Hazards 79(3):1961–1979Google Scholar
  48. Zeng YF, Liu SQ, Zhang W et al (2016a) Application of artificial neural network technology to predicting small faults and folds in coal seams, China. Sustain Water Resour Manag 2(2):175–181Google Scholar
  49. Zeng YF, Wu Q, Liu SQ et al (2016b) Vulnerability assessment of water bursting from Ordovician limestone into coal mines of China. Environ Earth Sci 75(22):1431.  https://doi.org/10.1007/s12665-016-6239-4
  50. Zhang JC (2005) Investigations of water inrushes from aquifers under coal seams. Int J Rock Mech Min Sci 42(3):350–360Google Scholar
  51. Zhang RG, Qian JZ, Ma L et al (2009) Application of extension identification method in mine water bursting source discrimination. J China Coal Soc 34(1):33–38 (in Chinese)Google Scholar
  52. Zhang Y, Ma YD, Wu H (2014) EW-UCA model for identifying mine's water-filled source and its application. Hydrogeol Eng Geol 41(4):32–37 (in Chinese)Google Scholar
  53. Zhou J, Shi XZ, Wang HY (2010) Water-bursting source determination of mine based on distance discriminant analysis model. J China Coal Soc 35(2):278–282 (in Chinese)Google Scholar
  54. Zhou J, Li XB, Shi XZ et al (2011) Predicting pillar stability for underground mine using fisher discriminant analysis and SVM methods. Trans Nonferrous Metals Soc China 21(12):2734–2743Google Scholar
  55. Zhou ZQ, Li SC, Li LP et al (2015) An optimal classification method for risk assessment of water inrush in karst tunnels based on grey system theory. Geomech Eng 8(5):631–647Google Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2017

Authors and Affiliations

  • Qiang Wu
    • 1
  • Wenping Mu
    • 1
    Email author
  • Yuan Xing
    • 2
  • Cheng Qian
    • 3
  • Jianjun Shen
    • 1
  • Yang Wang
    • 1
  • Dekang Zhao
    • 1
  1. 1.National Engineering Research Center of Coal Mine Water Hazard ControllingChina University of Mining & Technology (Beijing)BeijingChina
  2. 2.Water Authority of Chaoyang DistrictBeijingChina
  3. 3.School of Water Resources and EnvironmentChina University of Geosciences (Beijing)BeijingChina

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