Abstract
This paper presents a water abundance evaluation method based on improved fuzzy analytic hierarchy process (IFAHP) and entropy weight method (EWM) to solve the problem of unclear water abundance of karst aquifer in deep ore body mining. Taking the Maoping lead zinc mine in the southwest China as the research area, seven water abundance evaluation factors were selected to construct factor evaluation system. Then, comprehensive weights of evaluation factors were determined by game theory. Finally, a technique for order preference by similarity to an ideal solution (TOPSIS) water abundance evaluation model was established to identify water abundance zones with geographic information system (GIS). The results show that the weights determined by the iterated IFAHP, reflecting the mutual importance of the actual evaluation factors, enhances the accuracy of the subjective weights of the evaluation factors; the subjective and objective weight coefficients of evaluation factors determined by the game theory improves the rationality of the comprehensive weight model; compared with the unit inflow method, the comprehensive weighted TOPSIS water abundance evaluation model divides the water abundance zoning map in more detail, with a better fitting effect with the actual water inrush points of the study area. Consequently, the TOPSIS water abundance evaluation model not only provides theoretical guidance for the evaluation of karst aquifer water abundance, but also has guiding significance for the mining planning of ore body under the condition of karst aquifer.
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References
Adib A, Afzal P, Ilani SM, Aliyari F (2017) Determination of the relationship between major fault and zinc mineralization using fractal modeling in the Behabad fault zone, central Iran. J Afr Earth Sci 134:308–319. https://doi.org/10.1016/j.jafrearsci.2017.06.025
Álvarez X, Gómez-Rúab M, Vidal-Pugac J (2019) River flooding risk prevention: A cooperative game theory approach. J Environ Manag 248:109284. https://doi.org/10.1016/j.jenvman.2019.109284
Arora T, Warsi T, Dar FA, Ahmed S (2021) Electrical imaging of karst terrene for managed aquifer recharge: A case study from Raipur, central India. J Earth Syst Sci 130:14. https://doi.org/10.1007/s12040-020-01514-w
Atkinson JC (2018) Evaluation and interpretation of historical major–ion chemistry for the Lodgepole Creek Watershed, Nebraska. Environ Earth Sci 77:55. https://doi.org/10.1007/s12665-017-7202-8
Barmaki MD, Rezaei M, Madadi S (2020) Use of fractal dimensions analysis in geographic information system and remote–sensing techniques to identify groundwater prospective zones in the Anar–Dashtegol anticline, Iran. Carbonates Evaporites 35:4. https://doi.org/10.1007/s13146-019-00535-x
Baykasoğlu A, Gölcük İ (2017) Development of an interval type-2 fuzzy sets based hierarchical MADM model by combining DEMATEL and TOPSIS. Expert Syst Appl 70:37–51. https://doi.org/10.1016/j.eswa.2016.11.001
Brkić Z, Kuhta M, Hunjak T (2018) Groundwater flow mechanism in the well-developed karst aquifer system in the western Croatia: Insights from spring discharge and water isotopes. CATENA 161:14–26. https://doi.org/10.1016/j.catena.2017.10.011
Ebraheem MO, Ibrahim HA (2019) Detection of karst features using ground-penetrating radar: a case study from the western limestone plateau, Assiut, Egypt. Environ Earth Sci 78:563. https://doi.org/10.1007/s12665-019-8572-x
Guo F, Jiang G, Yuan D, Polk JS (2013) Evolution of major environmental geological problems in karst areas of Southwestern China. Environ Earth Sci 69:2427–2435. https://doi.org/10.1007/s12665-012-2070-8
Guo XM, Wang H, Zhou LS (2021) Evaluation of spatial water enrichment of ultra-thick bedrock aquifer in coal seam roof. Coal Sci Technol 49(9):167–175
Hou EK, Ji ZC, Che XY, Wang JW, Gao LJ, Tian SX, Yang F (2019) Water abundance prediction method of weathered bedrock based on improved AHP and the entropy weight method. J Chin Coal Soc 44(10):3164–3173
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 Shaaxi Jurassic coalfield. J Chin Coal Soc 41(9):2312–2318
Hu YB, Li WP, Wang QQ, Liu SL, Wang ZK (2019) Evaluation of water inrush risk from coal seam floors with an AHP–EWM algorithm and GIS. Environ Earth Sci 78:290. https://doi.org/10.1007/s12665-019-8301-5
Huang H, Chen ZH, Wang T, Zhou GM, Martin JB, Zhang L, Meng XM (2020) Origins and mixing contributions of deep warm groundwater in a carbonatehosted ore deposit, Sichuan-Yunnan-Guizhou Pb-Zn triangle, southwestern China. J Hydrol 590:125400. https://doi.org/10.1016/j.jhydrol.2020.125400
Huang H, Chen ZH, Wang T, Zhang L, Zhou GM, Sun BT, Wang Y (2019) Characteristics and processes of hydrogeochemical evolution induced by long-term mining activities in karst aquifers, southwestern China. Environ Sci Pollut Res 26:30055–30068. https://doi.org/10.1007/s11356-019-05984-4
Jiang GH, Guo F, Wei MJ (2020) Hydrogeological characteristics of foot caves in a karst peak-forest plain in South China. Hydrogeol J 28:535–548. https://doi.org/10.1007/s10040-019-02096-8
Leach DL, Taylor RD, Fey DL, Diehl SF, Saltus RW (2010) “A deposit model for Mississippi Valley-type lead-zinc ores”. Chapter A of mineral deposit models for resource assessment. USGS. Scientific Investigations Report 5070–A
Lee S, Song KY, Kim Y, Park I (2012) Regional groundwater productivity potential mapping using a geographic information system (GIS) based artificial neural network model. Hydrogeol J 20:1511–1527. https://doi.org/10.1007/s10040-012-0894-7
Li LP, Zhou ZQ, Li SC, Xue YG, Xu ZH, Shi SS (2015) An attribute synthetic evaluation system for risk assessment of floor water inrush in coal mines. Mine Water Environ 34:288–294. https://doi.org/10.1007/s10230-014-0318-0
Li Q, Sui WH (2021) Risk evaluation of mine-water inrush based on principal component logistic regression analysis and an improved analytic hierarchy process. Hydrogeol J 29:1299–1311. https://doi.org/10.1007/s10040-021-02305-3
Lin LX, Lin HL (2019) Determination of groundwater sustainable yield using a numerical modelling approach for the Table Mountain Group sandstone aquifer, Rawsonville, South Africa. Hydrogeol J 27:841–855. https://doi.org/10.1007/s10040-018-1902-3
Liu JW, Yang BB, Yuan SC, Li LH, Duan LH (2020) A fuzzy analytic hierarchy process model to assess the risk of disaster reduction due to grouting in coal mining. Arab J Geosci 13:227. https://doi.org/10.1007/s12517-020-5130-5
Liu SL, Li WP (2019) Zoning method for mining-induced environmental engineering geological patterns considering the degree of influence of mining activities on phreatic aquifer. J Hydrol 587:124020. https://doi.org/10.1016/j.jhydrol.2019.124020
Liu WT, Li Q, Zhao JY, Fu B (2018) Assessment of water inrush risk using the principal component logistic regression model in the Pandao coal mine, China. Arab J Geosci 11:463. https://doi.org/10.1007/s12517-018-3815-9
Loredo C, Ordóñez A, Garcia-Ordiales E, Álvarez R, Roqueñi N, Cienfuegos P, Peña A, Burnside NM (2017) Hydrochemical characterization of a mine water geothermal energy resource in NW Spain. Sci Total Environ 576:59–69. https://doi.org/10.1016/j.scitotenv.2016.10.084
Lorette G, Lastennet R, Peyraube N, Denis A (2018) Groundwater-flow characterization in a multilayered karst aquifer on the edge of a sedimentary basin in western France. J Hydrol 566:137–149. https://doi.org/10.1016/j.jhydrol.2018.09.017
Lu QY, Li XQ, Li WP, Chen W, Li LF, Liu SL (2018) Risk evaluation of bed-separation water inrush: a case study in the yangliu coal mine, china. Mine Water Environ 37:288–299. https://doi.org/10.1007/s10230-018-0535-z
Luo DY, Wen XP, Zhang HN, Xu JL, Zhang R (2020) An improved FAHP based methodology for groundwater potential zones in Longchuan River basin, Yunnan Province, China. Earth Sci Inf 13:847–857. https://doi.org/10.1007/s12145-020-00469-2
Malík P, Coplák M, Vasta J, Černák R, Bajtoš P (2021) Recharge, delayed groundwater-level rise and specific yield in the Triassic karst aquifer of the Kopa Mountain, in the Western Carpathians, Slovakia. Hydrogeol J 29:499–518. https://doi.org/10.1007/s10040-020-02231-w
Ministry of Emergency Management of the People's Republic of China (2018) Safety technical specifications for water prevention and control in metal and nonmental underground mines. China Coal Industry Publishing House, Beijing
Mudd GM, Jowitt SM, Werner TT (2017) The world’s lead-zinc mineral resources: scarcity, data, issues and opportunities. Ore Geol Rev 80:1160–1190. https://doi.org/10.1016/j.oregeorev.2016.08.010
Norouzi A, Namin HG (2019) A hybrid fuzzy TOPSIS-best worst method for risk prioritization in megaprojects. Civil Eng J 5(6):1257–1272. https://doi.org/10.28991/cej-2019-03091330
Pavlovskiy I, Selle B (2015) Integrating hydrogeochemical, hydrogeological, and environmental tracer data to understand groundwater flow for a karstified aquifer system. Ground Water 53(S1):156–165. https://doi.org/10.1111/gwat.12262
Qiao W, Li WP (2011) Effect of geo-stress on permeability of groundwater in karst-fractured rock mass. J Chin Unive Min Technol 40(1):73–79
Qiao W, Li WP, Li T, Zhang X, Wang YZ, Chen YK (2018) Relevance between hydrochemical and hydrodynamic data in a deep karstified limestone aquifer: a mining area case study. Mine Water Environ 37:393–404. https://doi.org/10.1007/s10230-017-0506-9
Qiu M, Huang FJ, Wang Y, Guan T, Shi LQ, Han J (2020) Prediction model of water yield property based on GRA, FAHP and TOPSIS methods for Ordovician top aquifer in the Xinwen coalfield of China. Environl Earth Sci 79:214. https://doi.org/10.1007/s12665-020-08954-z
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
Saaty TL (1980) The analytic hierarchy process: planning, priority, setting, resource allocation. McGraw-Hill, New York
Shi SQ, Wei J, Xie DL, Yin HY, Li LY (2019) Prediction analysis model for groundwater potential based on set pair analysis of a confined aquifer overlying a mining area. Arab J Geosci 12:115. https://doi.org/10.1007/s12517-019-4267-6
Sun HF, Cheng M, Su CX, Li HY, Zhao GD, Sun MX, Li SC, Zhang B, Zhang LW, Li K (2017) Characterization of shallow karst using electrical resistivity imaging in a limestone mining area. Environ Earth Sci 76:767. https://doi.org/10.1007/s12665-017-7112-9
Wang SJ, Feng J, Hou EK, Huang KJ, Xue WF, Duan HJ (2020) Microscopic pore structure types of sandstone and its effects on aquifer water abundance: Taking in Ningtiaota coal mine as an example. J Chin Coal Soc 45(9):3236–3244. https://doi.org/10.13225/j.cnki.jccs.2019.0813
Wang XY, Yao MJ, Zhang JG, Zhao W, Huang PH, Guo JW, Chen GS, Zhang B (2019) Evaluation of water bursting in coal seam floor based on improved AHP and fuzzy variable set theory. J Min Safe Eng 36(3):558–565
Wu Q, Fan ZL, Liu SQ, Zhang YW, Sun WJ (2011) Water-richness evaluation method of water-filled aquifer based on the principle of information fusion with GIS: Water-richness index method. J Chin Coal Soc 36(7):1124–1128
Wu Q, Xu K, Zhang W, Wei Z (2017) Roof aquifer water abundance evaluation: a case study in Taigemiao, China. Arab J Geosci 10:254. https://doi.org/10.1007/s12517-017-3048-3
Xu ZM, Sun YJ, Gao S, Chen HY, Yao MH, Li X (2021) Comprehensive exploration, safety evaluation and grouting of karst collapse columns in the Yangjian coalmine of the Shanxi province, China. Carbonates Evaporites 36:16. https://doi.org/10.1007/s13146-021-00675-z
Xue JK, Shi L, Wang H, Ji ZK, Shang HB, Xu F, Zhao HH, Luo AK (2021) Water abundance evaluation of a burnt rock aquifer using the AHP and entropy weight method: a case study in the Yongxin coal mine, China. Environ Earth Sci 80:417. https://doi.org/10.1007/s12665-021-09703-6
Yang C, Liu SD, Wu RX (2017) Quantitative prediction of water volumes within a coal mine underlying limestone strata using geophysical methods. Mine Water Environ 36:51–58. https://doi.org/10.1007/s10230-016-0394-4
Yin H, Shi Y, Niu H, Xie D, Wei J, Lefticariu L, Xu X (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
Zhang Q, Wang ZY (2021) Spatial prediction of loose aquifer water abundance mapping based on a hybrid statistical learning approach. Earth Sci Inf 14:1349–1365. https://doi.org/10.1007/s12145-021-00640-3
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The authors thank the National Natural Science Foundation of China under Grant No. 42172293 for its financial support.
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Li, Q., Sui, W., Sun, B. et al. Application of TOPSIS water abundance comprehensive evaluation method for karst aquifers in a lead zinc mine, China. Earth Sci Inform 15, 397–411 (2022). https://doi.org/10.1007/s12145-021-00730-2
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DOI: https://doi.org/10.1007/s12145-021-00730-2