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Fine Prediction for Mine Water Inflow on Basis of Visual Modflow

Received: 12 March 2019     Accepted: 23 April 2019     Published: 4 June 2019
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Abstract

Mine water inflow refers to the influx of mine within the mine construction and production process of water per unit time. The amout of water inflow is not only an important indicator of the technical and economic evaluation of mine construction and rational development but also the main basis for coal mining production design department to develop programs to identify and develop the ability to mine dewatering and drainage measures, playing an important role in preventing the accidents of mine water inrush and flooding mine malignant as well as reducing the production costs and protecting mine safety. In this paper, the way coal mining in northeast in china for points, by means of sequence numerical simulation compared to traditional separated mining area in calculating water inflow, then matches the results to the existing mine water inflow, to validate the model accuracy, improve the accuracy of the numerical simulation, to provide security for mining coal mine safety.

Published in International Journal of Oil, Gas and Coal Engineering (Volume 7, Issue 2)
DOI 10.11648/j.ogce.20190702.12
Page(s) 52-59
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2019. Published by Science Publishing Group

Keywords

Coal Mine, Mine Water Inflow, Mining Sequence, Visual Modflow

References
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[3] Seyf-Laye, A-S. M., Mingzhu, L., Djanéyé-Bouindjou, G., Fei, L., Lyutsiya, K., Moctar, B. L. & Honghan, C. (2012). Groundwater flow and contaminant transport modeling applications in urban area: scopes and limitations. Environmental Science and Pollution Research 19, 1981–1993.
[4] Rao, G. T., Rao, V. G., Surinaidu, L., Mahesh, J. & Padalu, G. (2013). Application of numerical modeling for groundwater flow and contaminant transport analysis in the basaltic terrain, Bagalkot, India. Arabian Journal of Geosciences 6, 1819–1833.
[5] Xue Yuqun, Zhu Xueyu, Wu Jichun, et al. Groundwater Dynamics [M]. Beijing; Geological Publishing House, 1997.
[6] Wu Qiang, Zhu Bin, Xuhua et al. (2005). Application of MODFLOW in numerical simulation of groundwater in Huaibei [A]. Journal of Liaoning University of Engineering and Technology.
[7] Yang Biao, Luo Zhouquan, Wang Yiwei. (2013). Analysis and prediction of mine groundwater flow field based on Visual Modflow [A]. Mining safety and environmental protection.
[8] Liu Ji, Wang Qiangmin, Yang Jian. (2018). Study on Simulation and dynamic prediction of mine water inflow based on Visual Modflow [J]. Coal Mine Safety, 190-193.
[9] Circumference. (2014). Simulation and evaluation of groundwater resources in mining area by coal mining based on Visual Modflow [D]. Shanxi University.
[10] Yang Shuqing. (2005). Prediction of water-soil environmental effects of brackish water irrigation in arid areas based on Visual-MODFLOW and SWAP coupled model [D]. Inner Mongolia Agricultural University.
[11] Guo Xiaodong, Tianhui, Zhang Meigui et al. (2010). Progress in the application of groundwater numerical simulation software in China [J]. Groundwater.
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[13] Shao Taisheng, Shao Aijun, Peng Jianping. (2009). Floor water inrush numerical simulation and water inrush volume prediction of Fengfeng No.5 Mine [J]. Hydrogeology and engineering geology.
[14] Luo Zujiang, Wang Wan, Lu Shun. (2010). Three-dimensional numerical simulation model for predicting water inflow based on mine production process [J]. Journal of Coal Mine.
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  • APA Style

    Wang Guorui, Wu Qiang, Yan Zizhong, Zhao Na, Duan Chengbao, et al. (2019). Fine Prediction for Mine Water Inflow on Basis of Visual Modflow. International Journal of Oil, Gas and Coal Engineering, 7(2), 52-59. https://doi.org/10.11648/j.ogce.20190702.12

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    ACS Style

    Wang Guorui; Wu Qiang; Yan Zizhong; Zhao Na; Duan Chengbao, et al. Fine Prediction for Mine Water Inflow on Basis of Visual Modflow. Int. J. Oil Gas Coal Eng. 2019, 7(2), 52-59. doi: 10.11648/j.ogce.20190702.12

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    AMA Style

    Wang Guorui, Wu Qiang, Yan Zizhong, Zhao Na, Duan Chengbao, et al. Fine Prediction for Mine Water Inflow on Basis of Visual Modflow. Int J Oil Gas Coal Eng. 2019;7(2):52-59. doi: 10.11648/j.ogce.20190702.12

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  • @article{10.11648/j.ogce.20190702.12,
      author = {Wang Guorui and Wu Qiang and Yan Zizhong and Zhao Na and Duan Chengbao and Cheng Xia and Wang Hui},
      title = {Fine Prediction for Mine Water Inflow on Basis of Visual Modflow},
      journal = {International Journal of Oil, Gas and Coal Engineering},
      volume = {7},
      number = {2},
      pages = {52-59},
      doi = {10.11648/j.ogce.20190702.12},
      url = {https://doi.org/10.11648/j.ogce.20190702.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ogce.20190702.12},
      abstract = {Mine water inflow refers to the influx of mine within the mine construction and production process of water per unit time. The amout of water inflow is not only an important indicator of the technical and economic evaluation of mine construction and rational development but also the main basis for coal mining production design department to develop programs to identify and develop the ability to mine dewatering and drainage measures, playing an important role in preventing the accidents of mine water inrush and flooding mine malignant as well as reducing the production costs and protecting mine safety. In this paper, the way coal mining in northeast in china for points, by means of sequence numerical simulation compared to traditional separated mining area in calculating water inflow, then matches the results to the existing mine water inflow, to validate the model accuracy, improve the accuracy of the numerical simulation, to provide security for mining coal mine safety.},
     year = {2019}
    }
    

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  • TY  - JOUR
    T1  - Fine Prediction for Mine Water Inflow on Basis of Visual Modflow
    AU  - Wang Guorui
    AU  - Wu Qiang
    AU  - Yan Zizhong
    AU  - Zhao Na
    AU  - Duan Chengbao
    AU  - Cheng Xia
    AU  - Wang Hui
    Y1  - 2019/06/04
    PY  - 2019
    N1  - https://doi.org/10.11648/j.ogce.20190702.12
    DO  - 10.11648/j.ogce.20190702.12
    T2  - International Journal of Oil, Gas and Coal Engineering
    JF  - International Journal of Oil, Gas and Coal Engineering
    JO  - International Journal of Oil, Gas and Coal Engineering
    SP  - 52
    EP  - 59
    PB  - Science Publishing Group
    SN  - 2376-7677
    UR  - https://doi.org/10.11648/j.ogce.20190702.12
    AB  - Mine water inflow refers to the influx of mine within the mine construction and production process of water per unit time. The amout of water inflow is not only an important indicator of the technical and economic evaluation of mine construction and rational development but also the main basis for coal mining production design department to develop programs to identify and develop the ability to mine dewatering and drainage measures, playing an important role in preventing the accidents of mine water inrush and flooding mine malignant as well as reducing the production costs and protecting mine safety. In this paper, the way coal mining in northeast in china for points, by means of sequence numerical simulation compared to traditional separated mining area in calculating water inflow, then matches the results to the existing mine water inflow, to validate the model accuracy, improve the accuracy of the numerical simulation, to provide security for mining coal mine safety.
    VL  - 7
    IS  - 2
    ER  - 

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Author Information
  • Department of Geological Environment, College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing, China

  • Department of Geological Environment, College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing, China

  • Ningxia Survey and Monitor Institute of Land and Resources, Ningxia Department of Natural Resources, Yinchuan, China

  • Department of Business Technology, Ningxia Branch of Agricultural Bank of China, Yinchuan, China

  • Department of Geological Survey, Xinjiang Tianchi Energy Co. Ltd., Changji, China

  • Ningxia Survey and Monitor Institute of Land and Resources, Ningxia Department of Natural Resources, Yinchuan, China

  • Ningxia Survey and Monitor Institute of Land and Resources, Ningxia Department of Natural Resources, Yinchuan, China

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