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Volume 44 Issue 5
Oct.  2025
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Article Navigation >  CARSOLOGICA SINICA  > 2025  >  44(5): 1006-1024
PENG Sanxi, LI Guifu, SHAN Huimei, LIU Yunquan, LU Danmei. Prediction of water inflow and evaluation of curtain water-blocking effect in the Panlong lead-zinc mining area[J]. CARSOLOGICA SINICA, 2025, 44(5): 1006-1024. doi: 10.11932/karst20250507
Citation: PENG Sanxi, LI Guifu, SHAN Huimei, LIU Yunquan, LU Danmei. Prediction of water inflow and evaluation of curtain water-blocking effect in the Panlong lead-zinc mining area[J]. CARSOLOGICA SINICA, 2025, 44(5): 1006-1024. doi: 10.11932/karst20250507
shu

Prediction of water inflow and evaluation of curtain water-blocking effect in the Panlong lead-zinc mining area

doi: 10.11932/karst20250507
  • 1.

    College of Earth Science, Guilin University of Technology, Guilin, Guangxi, 541004, China

  • 2.

    College of Environmental Science and Engineering, Guilin University of Technology, Guilin, Guangxi, 541004, China

  • 3.

    Guangxi Institute of Hydrogeology and Engineering Geology, Liuzhou, Guangxi 545006,China

  • Received Date: 2024-09-24
  • Accepted Date: 2025-05-06
  • Rev Recd Date: 2025-04-26
    • Available Online: 2026-01-13
    Abstract
  • The importance of metal mineral resources as a vital component of China's social and economic development is self-evident. With the acceleration of industrialization, the demand for mineral resources has increased sharply, and mining activities have extended progressively deeper underground. However, the resulting water-inflow disasters are becoming increasingly frequent, seriously threatening both the safety of mine operations and balance of the ecological environment. Therefore, it is of great significance to scientifically and reasonably calculate and predict changes in water inflow and groundwater levels in mining areas, and to develop effective water prevention and control strategies to ensure safe production in these areas.Since the exploitation of the Panlong lead-zinc mine in Guangxi began, mine production has been affected by the erosion of surface water and groundwater. The Panlong lead-zinc mine is adjacent to the Datengxia Water Conservancy Project. When the Datengxia Water Conservancy Project commenced impoundment, the water level of the Qianjiang River rose significantly, enhancing the resistance to recharge of the Qianjiang River and greatly increased the risk of water inflow in the mining area. Focusing on the Panlong lead-zinc mine in Guangxi as the research subject, this study addresses the water inflow problems encountered during deep mining operations. By integrating with the hydrogeological conditions, karst development characteristics, and the current mining status, a three-dimensional numerical model of groundwater flow in the mining area was developed by GMS software. This model predicts water inflow and changes in underground flow field at different mining depths and evaluates the water-blocking effectiveness of grouting curtain project. The main research contents and conclusions are as follows: (1) Prior to the construction of the Datengxia Water Conservancy Project, the water level of the Qianjiang River reached 42 m, with the average total daily water inflow of the mine being 20,610 m3∙d−1 and 21,263 m3∙d−1, respectively, when mining extended to the middle of −380 m and −440 m.(2) Following reservoir impoundment with the water level of the Qianjiang River at 61.5 m, the total water inflow at the −440 m level increased to 26,639 m3∙d−1, representing an increase of 5,376 m3∙d−1 relative to pre-impoundment conditions. Meanwhile, a significant drawdown funnel developed, with recharge from the Qianjiang River on the eastern side and lateral groundwater inflow on the western side becoming the dominant water sources. This suggests that the elevated water level of the Qianjiang River, caused by the Datengxia Water Conservancy Project, may pose potential risks to the safety of mining operations.(3) Prior to the implementation of the eastern curtain, mining at the −440 m level under reservoir impoundment conditions resulted in a total water inflow rise of increase of 5,376 m3∙d−1. Following the implementation of the eastern curtain grouting project, with reservoir impoundment (the water level of the Qianjiang River: 61.5 m) and mining at the −440 m level, the total average daily water inflow was 23,548 m3∙d−1, representing a reduction of approximately 3,091 m3∙d−1 compared to pre-curtain conditions (26,639 m3∙d−1). The results show that the eastern curtain project blocked only 3,091 m3∙d−1 of water inflow, failing to completely eliminate the inflow problem.(4) Following the east–west curtain grouting project, under conditions of reservoir impoundment and mining at the –440 m level, the total average daily water inflow was 19,744 m3∙d−1-an approximate reduction of 6,895 m3∙d−1 compared to pre-curtain conditions. This effectively eliminates the increased water inflow caused by the impoundment-induced water-level rise, indicating the effective water prevention and control achieved by the east–west curtain project in the mining area.(5) Numerical simulation predicts that the total water inflow of the mine will reach 23,285 m3∙d−1 when mining attains −740 m level, with the rate of water inflow increase slows down as the mining depth increases. In addition, flow field simulations indicate that, as mining depth increases, the range of the drawdown funnel gradually expands, hydraulic gradients intensify, and groundwater recharge pathways shift toward the bed of the Qianjiang River.This study can provide a scientific basis for the prevention and control of water inflow during the deep mining of the Panlong lead-zinc mine, while also offer theoretical support and practical guidance for safe mining and prevention and control of groundwater disasters in karst mining areas characterized by complex hydrogeological conditions.

     

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    • References(43)
  • [1]
    Golian M, Teshnizi E S, Nakhaei M. Prediction of water inflow to mechanized tunnels during tunnel-boring-machine advance using numerical simulation[J]. Hydrogeology Journal, 2018, 26(8): 2827-2851. doi: 10.1007/s10040-018-1835-x
    [2]
    袁世冲, 李强, 孙帮涛, 韩贵雷. 金属矿山深部开采突水致灾危险源辨识与危险性评价: 以滇东北毛坪铅锌矿为例[J]. 工程地质学报, 2023, 31(5): 1668-1679.

    YUAN Shichong, LI Qiang, SUN Bangtao, HAN Guilei. Hazard identification and risk assessment of water inrush in deep mining of metal mines: A case study of Maoping lead-zinc Mine in Northeast Yunnan, China[J]. Journal of Engineering Geology, 2023, 31(5): 1668-1679.
    [3]
    乔宇, 康小兵, 眭素刚, 王帮团. 岩溶富水矿山构造破碎带破坏数值模拟及突涌水成因分析 [J/OL]. 中国岩溶, 2025: 1-10[2025-02-28]. https://link.cnki.net/urlid/45.1157.P.20250227. 1754.002.

    QIAO Yu, KANG Xiaobing, SUI Sugang, WANG Bangtuan. Re-search on the mechanism of water surge in tectonic fracture zon-es of karst water-rich mines[J/OL]. Carsologica Sinica, 2025:1-10[2025-02-28]. https://link.cnki.net/urlid/45.1157.P.20250227.1754.002.
    [4]
    师文豪, 杨天鸿, 常宏, 王培涛, 夏冬. 中关铁矿工作面顶板突水机理及防治对策[J]. 采矿与安全工程学报, 2016, 33(3): 403-408.

    SHI Wenhao, YANG Tianhong, CHANG Hong, WANG Peitao, XIA Dong. Water-inrush mechanism and countermeasure for the roof of working face in Zhongguan iron mine[J]. Journal of Mining & Safety Engineering, 2016, 33(3): 403-408.
    [5]
    欧阳仕元. 凡口铅锌矿岩溶大水防治[J]. 现代矿业, 2015, 31(5): 152-155, 163. doi: 10.3969/j.issn.1674-6082.2015.05.056

    OUYANG Shiyuan. Karst flood control in Fankou lead-zinc mine[J]. Modern Mining, 2015, 31(5): 152-155, 163. doi: 10.3969/j.issn.1674-6082.2015.05.056
    [6]
    崔国伟, 王向峰, 林以齐. 凡口铅锌矿地下水害综合治理实践[J]. 采矿技术, 2022, 22(6): 121-125.

    CUI Guowei, WANG Xiangfeng, LIN Yiqi. Comprehensive treatment practice of underground water damage in Fankou lead-zinc mine[J]. Mining Technology, 2022, 22(6): 121-125.
    [7]
    陈彦美. 南方岩溶金属矿区地下水防治理论与实践: 以福建马坑铁矿为例 [D]. 武汉: 中国地质大学(武汉), 2013.

    CHEN Yanmei. Theory and practice of karst water control and prevention in iron mining area, in South China: A case study of Makeng iron mining, Fujian Province [D]. Wuhan: China University of Geosciences (Wuhan), 2013.
    [8]
    隋旺华. 矿山安全地质学: 综述[J]. 工程地质学报, 2021, 29(4): 901-916.

    SUI Wanghua. Mine safety geology: a review[J]. Journal of Engineering Geology, 2021, 29(4): 901-916.
    [9]
    马卫国, 孟宪达, 许双泉. 由鸡西矿透水事故浅谈矿井水害防治[J]. 能源技术与管理, 2009(4): 68-69.

    MA Weiguo, MENG Xianda, XU Shuangquan. Discussion on prevention and control of mine water damage from the flooding accident in Jixi Mine[J]. Energy Technology and Management, 2009(4): 68-69.
    [10]
    Lv S, Zeng Y, Zhang L, Zhao H. Evaluation of coal seam floor water bursting in multi-aquifer Gequan coal mine, China [J]. Scientific Reports, 2022, 12(1): 18076.
    [11]
    Wu C, Wu X, Zhu G, Qian C. Predicting mine water inflow and groundwater levels for coal mining operations in the Pangpangta coalfield, China [J]. Environmental Earth Sciences, 2019, 78(5): 130.
    [12]
    罗艳梅, 王磊, 周华, 欧健, 陈亮晶, 欧任文, 黄郁淇, 文娟. 基于GMS数值模拟的岩溶区矿坑涌水量预测研究: 以湘西大脑坡铅锌矿区为例[J]. 采矿技术, 2024, 24(4): 247-255.

    LUO Yanmei, WANG Lei, ZHOU Hua, OU Jian, CHEN Liangjing, OU Renwen, HUANG Yuqi, WEN Juan. Prediction of mine water inflow in karst area based on GMS numerical simulation: A case study of Naopo lead-zinc mining area in western Hunan Province[J]. Mining Technology, 2024, 24(4): 247-255.
    [13]
    谭家华. MODFLOW-CFP软件在岩溶水系统数值模拟应用中的若干关键问题[J]. 中国岩溶, 2023, 42(4): 636-647.

    TAN Jiahua. Several key issues in the application of MODFLOW-CFP software to the numerical simulation of karst water systems[J]. Carsologica Sinica, 2023, 42(4): 636-647
    [14]
    宋伟, 阎宏图, 阮泽宇, 王建辉. 纳林河二号矿井水患分析[J]. 采矿技术, 2024, 24(2): 270-274.

    SONG Wei, YAN Hongtu, RUAN Zeyu, WANG Jianhui. Analysis of water disaster in Nalin River No. 2 mine[J]. Mining Technology, 2024, 24(2): 270-274.
    [15]
    章爱卫, 杨彤飞. 河谷碳酸盐岩型铅锌矿深部矿坑涌水主控因素研究[J]. 矿产勘查, 2023, 14(7): 1259-1269.

    ZHANG Aiwei, YANG Tongfei. Study on main controlling factors of deep pit water inflow in carbonate rock lead-zinc deposit in river valley[J]. Mineral Exploration, 2023, 14(7): 1259-1269.
    [16]
    刘启蒙, 胡友彪, 张宇通, 刘浩. 矿井涌水量预测方法探讨[J]. 安徽理工大学学报(自然科学版), 2017, 37(6): 1-7.

    LIU Qimeng, HU Youbiao, ZHANG Yutong, LIU Hao. Exploration on the prediction methods of coal mining water inflow[J]. Journal of Anhui University of Science and Technology (Natural Science Edition), 2017, 37(6): 1-7.
    [17]
    Zhao X, Ding F, Xu J, Zhang J. Evaluation of groundwater exploitation scheme in water source area of Kang Ping power plant based on GMS [C]// Journal of Physics: Conference Series. IOP Publishing, 2021.
    [18]
    李贵仁, 赵珍, 陈植华. 复杂岩溶矿区疏干条件下的地下水数值模拟: 以福建省马坑铁矿为例[J]. 中国岩溶, 2012, 31(4): 382-387.

    LI Guiren, ZHAO Zhen, CHEN Zhihua. Numerical simulation for groundwater under draining condition in complex karst mining area: An example from the Makeng iron mine in Fujian province[J]. Carsologica Sinica, 2012, 31(4): 382-387.
    [19]
    党志文, 邵景力, 崔亚莉, 李军, 宫志强, 赵良杰, 梁永升. 基于MODFLOW-CFP的贵州大井流域岩溶地下水数值模拟[J]. 中国岩溶, 2023, 42(2): 266-276.

    DANG Zhiwen, SHAO Jingli, CUI Yali, LI Jun, GONG Zhiqiang, ZHAO Liangjie, LIANG Yongsheng. Numerical simulation of karst groundwater in Dajing basin of Guizhou Province based on MODFLOW-CFP[J]. Carsologica Sinica, 2023, 42(2): 266-276.
    [20]
    Hua Z, Zhang Y, Meng S, Wang L, Wang X, Lv Y, Li J, Ren S, Bao H, Zhang Z, Zhao L, Zeng Y. Response characteristics and water inflow prediction of complex groundwater systems under high-intensity coal seam mining conditions [J]. Water, 2023, 15(19): 3376.
    [21]
    Shi L, Wang Y, Qiu M, Wang M. Assessment of water inrush risk based on the groundwater modeling system: A case study in the Jiaojia Gold Mine Area, China [J]. Arabian Journal of Geosciences, 2019, 12(24): 807.
    [22]
    Gurwin J, Wcisło M. Numerical forecast of groundwater inflow to the mines of the Legnica-Głogów Copper District with a particular emphasis on the “Polkowice-Sieroszowice” mine[J]. Geology, Geophysics and Environment, 2024, 50(1): 61-76. doi: 10.7494/geol.2024.50.1.61
    [23]
    陈伟. 裂隙岩体灌浆压力及其稳定性控制方法研究 [D]. 长沙: 中南大学, 2008.

    CHEN Wei. Study on control method of grouting pressure and stability of fractured rock mass [D]. Changsha: Central South University, 2008.
    [24]
    郑凌云, 张永祥, 贾瑞涛, 章蓬勃. 基于GMS的北京市朝阳区地下水环境数值模拟与预测分析[J]. 水利水电技术(中英文), 2022, 53(1): 114-123.

    ZHENG Lingyun, ZHANG Yongxiang, JIA Ruitao, ZHANG Pengbo. GMS-based numerical simulation and prediction analysis of groundwater environment in Chaoyang District of Beijing[J]. Water Resources and Hydropower Engineering, 2022, 53(1): 114-123.
    [25]
    赵勇. 滇东山原区水库岩溶渗漏系统工程地质研究 [D]. 成都: 成都理工大学, 2015.

    ZHAO Yong. Systematic engineering geological research of reservior leakage in karst in mountain plateau of Eastern Yunnan [D]. Chengdu: Chengdu University of Technology, 2015.
    [26]
    陈菊艳. 广西盘龙铅锌矿涌水量预测及帷幕注浆设计研究 [D]. 桂林: 桂林理工大学, 2022.

    CHEN Juyan. Prediction of water inflow and design of curtain grouting in Panlong lead-zinc mine in Guangxi [D]. Guilin: Guilin University of Technology, 2022.
    [27]
    卢萍, 侯克鹏. 帷幕注浆技术在矿山治水中的应用现状与发展趋势[J]. 现代矿业, 2010, 26(3): 21-24.

    LU Ping, HOU Kepeng. The current application status and development trend of curtain grouting in water-rich mine[J]. Modern Mining, 2010, 26(3): 21-24.
    [28]
    陈勤树. 我国矿区注浆帷幕截流技术的研究与应用[J]. 矿业研究与开发, 1993(S2): 8-18.

    CHEN Qinshu. Research and application of grouting curtain cut-off technology in mining area of China[J]. Mining Research and Development, 1993(S2): 8-18.
    [29]
    熊贤亮, 刘飞, 张榜易. 某大水矿山近矿体帷幕注浆联合防治水方案研究[J]. 现代矿业, 2024, 40(6): 241-244.

    XIONG Xianliang, LIU Fei, ZHANG Bangyi. Study on joint water prevention and control scheme of curtain grouting near ore body in a water-rich mine[J]. Modern Mining, 2024, 40(6): 241-244.
    [30]
    李海燕, 夏茂哲, 张锟, 张波, 孙怀凤, 赵国东, 韩俊飞, 刘功杰, 贺恩磊. 岩溶凹陷式露天矿山大流量涌水治理技术[J]. 煤炭科学技术, 2024, 52(1): 267-279.

    LI Haiyan, XIA Maozhe, ZHANG Kun, ZHANG Bo, SUN Huaifeng, ZHAO Guodong, HAN Junfei, LIU Gongjie, HE Enlei. Treatment technology of large flow water gushing in karst depression open-pit mine[J]. Coal Science and Technology, 2024, 52(1): 267-279.
    [31]
    赵雷, 侯克鹏, 者亚雷, 何全松, 何平. 露天大水矿床开采渗流场及帷幕防治水模拟研究[J]. 现代矿业, 2023, 39(7): 63-67.

    ZHAO Lei, HOU Kepeng, ZHE Yalei, HE Quansong, HE Ping. Simulation of seepage field and curtain water control in open-pit heavy water deposit mining[J]. Modern Mining, 2023, 39(7):63-67.
    [32]
    孔雅茜. 南方某石灰石矿矿坑涌水治理效果评价[J]. 中国矿业, 2024, 33(S1): 392-396, 408.

    KONG Yaqian. Evaluation of water inrush control effect of a limestone mine in South China[J]. China Mining Magazine, 2024, 33(S1): 392-396, 408.
    [33]
    刘谋, 王俊杰, 吴广涛, 周杰, 罗奇斌, 康卫东. 矿井涌水量预测及其对沙漠植被的影响[J]. 水文地质工程地质, 2023, 50(3): 65-75.

    LIU Mo, WANG Junjie, WU Guangtao, ZHOU Jie, LUO Qibin, KANG Weidong. Prediction of mine water inflow and analyses of its influence on desert vegetation[J]. Hydrogeology & Engineering Geology, 2023, 50(3): 65-75.
    [34]
    王顿, 裴丽欣, 张礼中, 樊连杰, 卢丽, 李习文, 刘潇桐, 李俊楠, 梁林德, 白雪冬. 基于文献计量学近20年国内外地下水数值模拟研究进展及展望[J]. 环境工程, 2023, 41(S1): 240-247.

    WANG Dun, PEI Lixin, ZHANG Lizhong, FAN Lianjie, LU Li, LI Xiwen, LIU Xiaotong, LI Junnan, LIANG Linde, BAI Xuedong. Research progress and prospect of numerical simulation of groundwater based on bibliometrics in the past two decades hainan island based on main control element[J]. Environmental Engineering, 2023, 41(S1): 240-247.
    [35]
    侯恩科, 席慧琴, 文强, 车晓阳, 谢晓深, 王建文, 高利军, 王宏科. 基于GMS的隐伏火烧区下煤层开采工作面涌水量预测[J]. 安全与环境学报, 2022, 22(5): 2482-2492.

    HOU Enke, XI Huiqin, WEN Qiang, CHE Xiaoyang, XIE Xiaoshen, WANG Jianwen, GAO Lijun, WANG Hongke. Prediction of water inflow volume in the coal mining workforce below the concealed fire area based on GMS[J]. Journal of Safety and Environment, 2022, 22(5): 2482-2492.
    [36]
    王晋丽, 陈喜, 张志才, 康建荣, 胡晋山. 基于MODFLOW的离散裂隙网络渗流分析 [J]. 中国岩溶, 2024, 44(1): 1-14.

    WANG Jinli, CHEN Xi, ZHANG Zhicai, KANG Jianrong, HU Jinshan. Discrete fracture network seepage analysis based on MODFLOW [J]. Carsologica Sinica, 2024, 44(1): 1-14.
    [37]
    金志垒. 基于GMS模拟的高寒矿区采矿过程采场渗流场演化研究 [D]. 长沙: 中南大学, 2023.

    JIN Zhilei. Study on evolution of seepage field during mining process in Alpine mining area based on GMS [D]. Changsha: Central South University, 2023.
    [38]
    刘芮彤, 王锦国, 周云, 黄华, 陈长生. 云南鹤庆西山岩溶地下水均衡模拟[J]. 中国岩溶, 2019, 38(4): 532-538.

    LIU Ruitong, WANG Jinguo, ZHOU Yun, HUANG Hua, CHEN Changsheng. Simulation of karst groundwater balance in the Westshan mountains, Heqing county, Yunnan Province[J]. Carsologica Sinica, 2019, 38(4): 532-538.
    [39]
    陈帅. 基于GMS数值模拟的某矿床涌水量预测研究[J]. 铀矿冶, 2024, 43(1): 20-26.

    CHEN Shuai. Research on prediction of water inflow in a certain deposit based on GMS numerical simulation[J]. Uranium Mining and Metallurgy, 2024, 43(1): 20-26.
    [40]
    王档良, 房亚飞, 邓国伟, 高成跃, 司湘. 基于改进多元回归模型与GIS的陕北凉水井矿井工作面涌水量预测[J]. 煤炭科技, 2022, 43(4): 85-92.

    WANG Dangliang, FANG Yafei, DENG Guowei, GAO Chengyue, SI Xiang. Prediction of water inflow of Liangshuijing mine face in Northern Shaanxi based on improved multiple regression model and GIS[J]. Coal Science & Technology Magazine, 2022, 43(4): 85-92.
    [41]
    魏光辉, 马亮. 基于自记忆方程的干旱区地下水水位动态模拟[J]. 节水灌溉, 2016(3): 58-60, 64.

    WEI Guanghui, MA Liang. Prediction of groundwater depth with periodical fluctuation based on self-memory equation in arid zone[J]. Water Saving Irrigation, 2016(3): 58-60, 64.
    [42]
    高翠萍, 杜新强, 杨悦锁, 贾思齐. 基于参数灵敏度分析的地下水数值模拟研究: 以黑龙江桦南县为例[J]. 安徽农业科学, 2016, 44(20): 53-55, 104.

    GAO Cuiping, DU Xinqiang, YANG Yuesuo, JIA Siqi. Study on groundwater numerical simulation based on parameter sensitivity analysis: A case study of Huanan County in Heilongjiang Province[J]. Journal of Anhui Agricultural Sciences, 2016, 44(20): 53-55, 104.
    [43]
    张钦喜, 魏锰, 王成名. 悬挂式止水帷幕地下水渗流数值模拟[J]. 岩土工程技术, 2021, 35(3): 146-150, 156.

    ZHANG Qinxi, WEI Meng, WANG Chengming. Numerical Simulation of Groundwater Seepage in Suspended[J]. Geotechnical Engineering Technique, 2021, 35(3): 146-150, 156.
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