Water abundance evaluation model of unconsolidated confined aquifer considering sedimentary characteristics: a case study in the Su-Lin mining areas, China

• Autorzy: Chen, Luwang , Tian, Yue , Wang, Yingxin , Ou, Qinghua , Peng, Zhihong , Shi, Xiaoping , He, Dingqiu
• Języki publikacji: EN

Abstrakty

EN

A quaternary unconsolidated confined aquifer is one of the main sources of water inrush in Huaibei coalfield. Water abundance evaluation of the aquifer is the key to guiding water prevention in coal mining. Aiming at the issue of water abundance in the unconsolidated confined aquifer, a novel evaluation model was established based on three evaluation indexes: the depth of water level, the depth of roof and the sedimentary characteristics. Among them, the sedimentary characteristics were quantified in comprehensive consideration of three aspects: the aquifer lithology, sedimentary thickness of rock stratum and sedimentary sequence. Then, the evaluation model was validated with an accuracy of 90.57% and was applied to the Zhuxianzhuang coal mine in the Su-Lin mining areas, so the zoning prediction map of water abundance of the unconsolidated confined aquifer was obtained. The results show that medium water abundance areas are scattered in the middle part of the mine and other areas are of weak or extremely weak water abundance. The distribution characteristics of water abundance obtained from the actual detection results are consistent with that predicted by the model, which further proves the reliability of the model. The findings of this research provide a new method for the water abundance evaluation, which is of great importance to ensure safety production of coal mine under unconsolidated confined aquifer in the Su-Lin mining areas, as well as other similar mining areas.

Słowa kluczowe

EN

safe coal mining; water abundance evaluation; unconsolidated confned aquifer; sedimentary characteristics; Fisher’s discriminant method

• Czasopismo: Acta Geophysica
• Rocznik: 2023
• Tom: Vol. 71, no. 6
• Strony: 2941--2954
• Opis fizyczny: Bibliogr. 30 poz., rys., tab.

Twórcy

autor

Chen, Luwang

• School of Resource and Environmental Engineering, Hefei University of Technology, No.193, Tunxi Road, Hefei, 230009, China,

autor

Tian, Yue

• School of Resource and Environmental Engineering, Hefei University of Technology, No.193, Tunxi Road, Hefei, 230009, China

autor

Wang, Yingxin

• School of Resource and Environmental Engineering, Hefei University of Technology, No.193, Tunxi Road, Hefei, 230009, China

autor

Ou, Qinghua

• School of Resource and Environmental Engineering, Hefei University of Technology, No.193, Tunxi Road, Hefei, 230009, China

autor

Peng, Zhihong

• School of Resource and Environmental Engineering, Hefei University of Technology, No.193, Tunxi Road, Hefei, 230009, China

autor

Shi, Xiaoping

• School of Resource and Environmental Engineering, Hefei University of Technology, No.193, Tunxi Road, Hefei, 230009, China

autor

He, Dingqiu

• School of Resource and Environmental Engineering, Hefei University of Technology, No.193, Tunxi Road, Hefei, 230009, China

Bibliografia

• 1. Bi YS, Wu JW, Tang LB, Zhai XR, Huang K, Liu W (2021) Water Abundance Comprehensive Evaluation of Coal Mine Aquifer Based on Projection Pursuit Model. Lithosphere 2021 (Special 4):3259214. https://doi.org/10.2113/2022/3259214
• 2. Cao QY, Yang L, Ren WY, Song YL, Huang SY, Wang YT, Wang ZY (2021) Spatial distribution of harmful trace elements in Chinese coalfields: an application of WebGIS technology. Sci Total Environ 755(2021):142527. https://doi.org/10.1016/j.scitotenv.2020.142527
• 3. Chang JH, Su BY, Malekian R, Xing XJ (2020) Detection of water-filled mining goaf using mining transient electromagnetic method. IEEE Trans Ind Inform 16(5):2977–2984. https://doi.org/10.1109/TII.2019.2901856
• 4. Chen LW, Feng XQ, Xie WP, Xu DQ (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):1–17. https://doi.org/10.1007/s12665-016-5533-5
• 5. Chen LW, Peng ZH, Wang YX, Ge RT, Li RR (2021) Variation law and estimation model of permeability coefficient in unconsolidated confined aquifer. Coal Geol Explor 49(1):189–197. https://doi.org/10.3969/j.issn.1001-1986.2021.01.020
• 6. Feng XQ (2016) Prediction and Prevention of Water Inrush under the Unconsolidated and Confined Aquifer in Concealed Coalfields in North China. Dissertation, Hefei Univ Technol.
• 7. He XB, Wang W, Yang YP, Yang YH (2009) Variable-weighted Fisher discriminant analysis for process fault diagnosis. J Process Control 19(6):923–931. https://doi.org/10.1016/j.jprocont.2008.12.001
• 8. Hou EK, Tong RJ, Wang SJ, Feng J, Chen T (2016) Prediction method for the water enrichment of weathered bedrock based on Fisher model in Northern Shaanxi Jurassic coalfield. J China Coal Soc 41(9):2312–2318. https://doi.org/10.13225/j.cnki.jccs.2016.0240
• 9. Jiang JY, Cheng YP, Wang L, Li W, Wang L (2011) Petrographic and geochemical effects of sill intrusions on coal and their implications for gas outbursts in the Wolonghu Mine, Huaibei Coalfield. China Int J Coal Geol 88(1):55–66. https://doi.org/10.1016/j.coal.2011.08.007
• 10. Li Z, Zeng YF, Liu SQ, Gong HJ, Niu PK (2018) Application of fuzzy comprehensive evaluation method based on validity in water abundance evaluation for aquifer. Min Saf Environ Prot 45(5):55–59
• 11. Liu BJ, Wang JY, He HT, Mishra V, Li YH, Wang JX, Zhao CL (2020) Geochemistry of Carboniferous coals from the Laoyaogou mine, Ningwu coalfield, Shanxi Province, northern China: Emphasis on the enrichment of valuable elements. Fuel 279(2020):118414. https://doi.org/10.1016/j.fuel.2020.118414
• 12. Liu P, Yang M, Sun YJ (2019) Hydro-geochemical processes of the deep Ordovician groundwater in a coal mining area, Xuzhou, China. Hydrogeol J 27(6):2231–2244. https://doi.org/10.1007/s10040-019-01991-4
• 13. Liu WT, Li Q, Zhao JY (2018) Application on floor water inrush evaluation based on AHP variation coefficient method with GIS. Geotech Geol Eng 36(05):2799–2808. https://doi.org/10.1007/s10706-018-0502-2
• 14. National Coal Mine Safety Supervision Bureau (2018) Detailed Rules for Coal Mine Water Prevention and Control. China Coal Industry Publishing House, Beijing
• 15. Pan JS (2013) The Application of Fisher’s Discriminate Analysis. Math Pract Theory 43(05):155–162
• 16. Qiao W, Li WP, Zhang SC, Niu YF (2019) Effects of coal mining on the evolution of groundwater hydrogeochemistry. Hydrogeol J 27(06):2245–2262. https://doi.org/10.1007/s10040-019-01969-2
• 17. Qiu M, Shi LQ, Teng C, Han J (2016) Water-richness evaluation of Ordovician limestone based on grey correlation analysis, FDAHP and geophysical exploration. Chin J Rock Mech Eng 35(S1):3203–3213. https://doi.org/10.13722/j.cnki.jrme.2015.0916
• 18. Shi LQ, Zhai PH, Wei JC, Zhu L, Han J, Yin HY (2008) Application of 3D high density electrical technique in detecting the water enrichment of strata. J Shandong Univ Sci Technol 27(6):1–4. https://doi.org/10.16452/j.cnki.sdkjzk.2008.06.006
• 19. Sun FX, Wei JC, Wan YP, Liu C’E, (2017) Recognition method of mine water source based on Fisher’s discriminant analysis and centroid distance evaluation. Coal Geol Explor 45(1):80–84. https://doi.org/10.3969/j.issn.1001-1986.2017.01.016
• 20. Tang LB, Wu JW, Bi YS, Zhai XR, Hu R (2020) Evaluation of aquifer water abundance based on AHP-entropy weight method. China Min Mag 29(12):147–152. https://doi.org/10.12075/j.issn.1004-4051.2020.12.014
• 21. Wang Y, Han J, Gao WF (2017) Water-richness evaluation of Ordovician limestone based on principal component analysis. China Sciencepap 12(9):1011–1014
• 22. Wang ZW (1993) On the correlation mechanism between sedimentary characteristics of porous aquifers and hydrogeological conditions. J China Coal Soc 02:81–88
• 23. Wu Q, Cui FP, Zhao SQ, Liu SQ, Zeng YF, Gu YW (2013a a) Type classification and main characteristics of mine water disasters. J China Coal Soc 38(4):561–565. https://doi.org/10.13225/j.cnki.jccs.2013.04.015
• 24. Wu Q, Fan SK, Zhou WF, Liu SQ (2013b) b) Application of the analytic hierarchy process to assessment 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
• 25. Wu Q, Wang Y, Zhao DK, Shen JJ (2017) Water abundance assessment method and application of loose aquifer based on sedimentary characteristics. J China Univ Min Technol 46(3):460–466. https://doi.org/10.13247/j.cnki.jcumt.000679
• 26. Xu GQ, Hu YB, Tu M, Yan JP (2003) Review and discussion on rational height of safety coal and rock pillars under soft water bearing strata. Coal Sci Technol 2003(10):41–44. https://doi.org/10.13199/j.cst.2003.10.41.xugq.015
• 27. Zhang KX (2018) Evaluation of water abundance of the fourth aquifer in Qidong Mine and study on law of deformation and breaking of overlying strata. Dissertation, Hefei Univ Technol.
• 28. Zhang WJ, Zhong XQ, Liu GH (2008) Recognizing spatial distribution patterns of grassland insects: neural network approaches. Stoch Environ Res Risk Assess 22(2):207–216. https://doi.org/10.1007/s00477-007-0108-3
• 29. Zhao BF (2015) Influence of sedimentary and structural characteristics on aquifer water abundance. Geotechnical Investigation & Surveying 43(09):51–54+80.
• 30. Zhao W, Liu QM, Chai HC, Zhang M, Xie ZG (2020) Identification of water inrush source based on Fisher discriminant method and centroid distance theory. Sci Technol Eng 20(09):3552–3556

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).

Identyfikatory

DOI

10.1007/s11600-023-01021-8