Abstract
The mining of stratigraphically low coal seams in North China-type coalfields is subject to water inrush from the underlying Ordovician limestone aquifer. The water-inrush coefficient method that is currently used for the evaluation of the water-inrush risk has inherent shortcomings, because it takes into account only the aquifer head pressure and the aquiclude thickness. Therefore, an improved water-inrush coefficient (IWIC) model is proposed. Based on the normalized water-inrush parameter, water-resisting parameter and structural parameter, the IWIC model is established using a linear weighting method. The first-order weights of each parameter are determined by the analytic hierarchy process, and the second-order weights are determined by the trapezoidal fuzzy number technique. Contour maps of the water-inrush risk calculated with the IWIC model are then obtained. The water-inrush risk grades are classified by thresholds derived via the Jenks natural breaks technique. The IWIC model is applied to the Longgu coal mine, as a typical coal mine in China, to evaluate the water-inrush risk of the lower four coal seams (L4CS). The evaluation results show that the risk of water inrush in the L4CS can be divided into five grades: safe, slightly safe, slightly dangerous, dangerous, and extremely dangerous. Overall, the L4CS mining in the Longgu coal mine is seriously threatened by the underlying Ordovician limestone aquifer. As the depth increases, the risk of water inrush increases from the No. 151 to No. 182 coal seams. Among the L4CS, No. 17 and No. 182 have the highest grade of water-inrush risk, and it is proposed that these two coal seams should not be mined to prevent water-inrush accidents.
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References
Adiat KAN, Nawawi MNM, Abdullah K (2012) Assessing the accuracy of GIS-based elementary multi criteria decision analysis as a spatial prediction tool-A case of predicting potential zones of sustainable groundwater resources. J Hydrol 440–441:75–89. https://doi.org/10.1016/j.jhydrol.2012.03.028
Boyaud C, Therrien R (2004) Numerical modeling of mine water rebound in Saizerais, northeastern France. Develop Water Sci 977–989. https://doi.org/10.1016/s0167-5648(04)80118-7
Duan SY (2003) Probe into the calculation formula of coefficient of water bursting from coal seam floor. Hydrogeol Eng Geol 1:96–99. https://doi.org/10.16030/j.cnki.issn.1000-3665.2003.01.026(in Chinese)
Duan HF, Jiang ZQ, Zhu SY, Zhao LJ, Liu JG (2012) A expansive limits anti-permeability strength methodology of the coal mine floor water-inrush evaluating. Procedia Environ Sci A 12:372–378. https://doi.org/10.1016/j.proenv.2012.01.292
Fernandez-Martinez M, Sanchez-Granero MA (2014) Fractal dimension for fractal structures. Topol Appl 163:93–111. https://doi.org/10.1016/j.topol.2013.10.010
Huang N, Jiang YJ, Liu RC, Li B (2017) Estimation of permeability of 3-D discrete fracture networks: an alternative possibility based on trace map analysis. Eng Geol 226:12–19. https://doi.org/10.1016/j.enggeo.2017.05.005
Jenks GF (1967) The data model concept in statistical mapping. Int Yearb Cartogr 7:186–190
Kamberoğlu M, Karahan M, Alpdoğan C, Karahan N (2016) Evaluation of foot protection effectiveness against AP mine blasts: effect of deflector geometry. J Test Eval. https://doi.org/10.1520/JET20150171
Kesseru Z (1997) Risk and safety evaluation for mining and tunneling in karst environment. Mine Water Environ 16(2):67–82
Li BY (1999) “Down three zones” in the prediction of the water-inrush from coalbed floor aquifer theory, development and application. J Shandong Inst Min Technol Nat Sci 18(4):11–18 (in Chinese)
Li GY, Zhou WF (2006) Impact of karst water on coal mining in North China. Environ Geol 49:449–457. https://doi.org/10.1007/s00254-005-0102-3
Li RZ, Wang Q, Wang XY, Liu XM, Li JL, Zhang YX (2015) Relationship analysis of the degree of fault complexity and the water irruption rate based on fractal theory. Mine Water Environ. https://doi.org/10.1007/s10230-015-0348-2
Li ZX, Wang DD, Lv DW et al (2018) The geologic settings of Chinese coal deposits. Int Geol Rev 60(5–6):548–578. https://doi.org/10.1080/00206814.2017.1324327
Liu QS (2009) A discussion on water-inrush coefficient. Coal Geol Explor 37(4):34–37+42. https://doi.org/10.3969/j.issn.1001-1986.2009.04.009(in Chinese)
Liu Z, Yang H, Cheng WM, Xin L, Ni GH (2017) Stress distribution characteristic analysis and control of coal and gas outburst disaster in a pressure-relief boundary area in protective layer mining. Arab J Geosci. https://doi.org/10.1007/s12517-017-3149-z
Mandelbrot BB, Wheeler JA (1983) The fractal geometry of nature. Am J Phys 51(3):286–287. https://doi.org/10.1119/1.13295
Ning JG, Liu XS, Tan YL (2012) Mechanism of rock-burst prevention by synergizing pressure relief and reinforcement of surrounding rocks with zonal disintegration in deep coal roadway. Disaster Adv 5(4):1237–1242
Qian MG, Miao XX, Xu JL (1996) Theoretical study of key stratum in ground control. J China Coal Soc 21(3):225–230. https://doi.org/10.13225/j.cnki.jccs.1996.03.001(in Chinese)
Qiu M, Han J, Zhou Y, Shi LQ (2017) Prediction reliability of water-inrush through the coal mine floor. Mine Water Environ 36:217–225. https://doi.org/10.1007/s10230-017-0431-y
Rapantova N, Grmela A, Vojtek D, Halir J, Michalek B (2007) Ground water flow modelling applications in mining hydrogeology. Mine Water Environ 26(4):264–270. https://doi.org/10.1007/s10230-007-0017-1
Razandi Y, Pourghasem HR, Neisan NS, Rahma O (2015) Application of analytical hierarchy process, frequency ratio, and certainty factor models for groundwater potential mapping using GIS. Earth Sci Inf 8(4):867–883. https://doi.org/10.1007/s12145-015-0220-8
Rutter EH, Hackston AJ, Yeatman E et al (2013) Reduction of friction on geological faults by weak-phase smearing. J Struct Geol 51:52–60. https://doi.org/10.1016/j.jsg.2013.03.008
State Administration of Coal Mine Safety of China (2018) Detailed rules for coal mine water prevention and control. China Coal Industry Publ House, Beijing (in Chinese)
Saaty TL (1977) A scaling method for priorities in hierarchical structures. J Math Psychol 15(3):234–281. https://doi.org/10.1016/0022-2496(77)90033-5
Shi LQ (2012) Analysis of the origin of water-inrush coefficient and its applicability. J Shandong Univ Sci Technol (Nat Sci) 31(6):6–9. https://doi.org/10.16452/j.cnki.sdkjzk.2012.06.002(in Chinese)
Shi LQ, Bo CS, Wei JC et al (2015) Control theory and technology of Ordovician limestone karst water-inrush in north china coalfield. China Coal Industry Publishing House, Beijing (in Chinese)
Singh KKK (2015) MineVue radar for delineation of coal barrier thickness in underground coal mines: case studies. J Geol Soc India 85(2):247–253. https://doi.org/10.1007/s12594-015-0211-x
Sun W, Wu Q, Liu H, Jiao J (2015) Prediction and evaluation of the disturbances of the coal mining in Kailuan to karst groundwater system. Phys Chem Earth 89–90:136–144. https://doi.org/10.1016/j.pce.2015.10.008
Tan Y, Ning JG, Li HT (2012) In situ explorations on zonal disintegration of roof strata in deep coalmines. Int J Rock Mech Min Sci 49:113–124. https://doi.org/10.1016/j.ijrmms.2011.11.015
Verbovsek T, Veselic M (2008) Factors influencing the hydraulic properties of wells in dolomite aquifers of Slovenia. Hydrogeol J 16(4):779–795. https://doi.org/10.1007/s10040-007-0250-5
Wang X, Meng F (2018) Statistical analysis of large accidents in China’s coal mines in 2016. Nat Hazards 92(1):311–325. https://doi.org/10.1007/s11069-018-3211-5
Wang JT, Wang XL (2011) Discussion on water-inrush Coefficient method applied to predict water-inrush danger of seam floor based on Gaojiata mine as example. Coal Sci Technol 39(07):106–111. https://doi.org/10.13199/j.cst.2011.07.112.wangjt.027(in Chinese)
Wang XY, Wang TT, Wang Q, Liu XM, Li RZ, Liu BJ (2017) Evaluation of floor water-inrush based on fractal theory and an improved analytic hierarchy process. Mine Water Environ 36(1):87–95. https://doi.org/10.1007/s10230-016-0407-3
Wildemeersch S, Brouyère S, Orban P et al (2010) Application of the hybrid finite element mixing cell method to an abandoned coalfield in Belgium. J Hydrol 392(3–4):188–200. https://doi.org/10.1016/j.jhydrol.2010.08.007
Wu Q, Zhang ZL, Ma JF (2007) A new practical methodology of the coal floor water bursting evaluating I: the master controlling index system construction. J China Coal Soc. https://doi.org/10.13225/j.cnkijccs.2007.01.009(in Chinese)
Wu Q, Wang JH, Liu DH, Cui FP, Liu SQ (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. https://doi.org/10.13225/j.cnki.jccs.2009.02.025(in Chinese)
Wu Q, Liu YZ, Liu DH, Zhou WF (2011) Prediction of floor water-inrush: the application of GIS-based AHP vulnerable index method to Donghuantuo coal mine, China. Rock Mech Rock Eng 44:591–600. https://doi.org/10.1007/s00603-011-0146-5
Wu Q, Zhao SQ, Sun WJ, Cui FP, Wu C (2013a) Classification of the hydrogeological type of coal mine and analysis of its characteristics in China. J China Coal Soc 38(06):901–905. https://doi.org/10.1325/j.cnki.jccs.2013.06.013(in Chinese)
Wu Q, Fan SK, Zhou WF, Liu SQ (2013b) Application of the analytic hierarchy process to evaluation of water-inrush: a case study for the No. 17 coal seam in the Sanhejian Coal Mine. China Mine Water Environ 32:229–238. https://doi.org/10.1007/s10230-013-0228-6
Wu Q, Liu YZ, Zhou WF et al (2015) Evaluation of water-inrush vulnerability from aquifers overlying coal seams in the Menkeqing coal mine. China Mine Water Environ 34(3):258–269. https://doi.org/10.1007/s10230-014-0313-5
Wu Q, Guo XM, Shen JJ, Xu S, Liu SQ, Zeng YF (2017a) Risk evaluation of water-inrush from aquifers underlying the Gushuyuan coal mine. China Mine Water Environ 36(1):96–103. https://doi.org/10.1007/s10230-016-0410-8
Wu QS, Jiang LS, Wu QL (2017b) Study on the law of mining stress evolution and fault activation under the influence of normal fault. Acta Geodyn Geomater 14(3):357–369
Xie CY (2011) Landslides hazard susceptibility evaluation based on weighting model. J Cent South Univ (Sci Technol) 42(6):1772–1779 (in Chinese)
Ye YX, Liu GY (2005) Research on coupling characteristics of fluid flow and stress within rock. Chin J Rock Mech Eng 24(14):2518–2523. https://doi.org/10.3321/j.issn:1000-6915.2005.14.018(in Chinese)
Yin HY, Shi YL, Niu HG, Xie DL, Wei JC, Liliana L, Xu SX (2018) A GIS-based model of potential groundwater yield zonation for a sandstone aquifer in the Juye coalfield, Shangdong, China. J Hydrol 557:434–447. https://doi.org/10.1016/j.jhydrol.2017.12.043
Yin HY, Sang SZ, Xie DL, Zhao H, Li SJ, Li HS, Zhuang XH (2019a) A numerical simulation technique to study fault activation characteristics during mining between fault bundles. Environ Earth Sci. https://doi.org/10.1007/s12665-019-8142-2
Yin HY, Zhao H, Xie DL, Sang SZ, Shi YL, Tian MH (2019b) Mechanism of mine water-inrush from overlying porous aquifer in Quaternary: a case study in Xinhe Coal Mine of Shandong Province, China. Arab Journal of Geosciences. https://doi.org/10.1007/s12517-019-4325-0
Yu B, Zhao J, Fang K, Tan YL, Ning JG (2016) Rock strength evaluation during progressive failure process based on fractural characterization. Mar Georesour Geotechnol 34(8):759–763. https://doi.org/10.1080/1064119X.2015.1089454
Zhang SC, Guo WJ, Li YY (2017) Experimental simulation of water-inrush disaster from the floor of mine and its mechanism investigation. Arab J Geosci. https://doi.org/10.1007/s12517-017-3287-3
Zhang JJ, Xu KL, Reniers G, You G (2019) Statistical analysis the characteristics of extraordinarily severe coal mine accidents (ESCMAs) in China from 1950 to 2018. Process Saf Environ Prot. https://doi.org/10.1016/j.psep.2019.10.014
Zhao TB, Yin YC, Tan YL (2012) Safe mining and new prediction model in coal seam with rock burst induced by roof. Disaster Adv 5(4):961–965
Zhou WF, Li GY (2001) Geological barrier-a natural rock stratum for preventing confined karst water from flowing into mines in North China. Environ Geol 40(8):1003–1009. https://doi.org/10.1007/s002540100289
Acknowledgement
This research was financially supported by the National Natural Science Foundation of China (Grant No. 41702305), the National Key Technology Research and Development Program of China (Grant No. 2017YFC0804101) and the Nature Science Foundation of Shandong Province (ZR2019MD013). Our deepest gratitude goes to the reviewers for their careful work and thoughtful suggestions.
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Niu, H., Wei, J., Yin, H. et al. An improved model to predict the water-inrush risk from an Ordovician limestone aquifer under coal seams: a case study of the Longgu coal mine in China. Carbonates Evaporites 35, 73 (2020). https://doi.org/10.1007/s13146-020-00590-9
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DOI: https://doi.org/10.1007/s13146-020-00590-9