| Peer-Reviewed

Evaluation of Water Isolation Capability of Coal Floor Rocks Based on ArcGIS Vulnerability Index Method

Received: 19 January 2022    Accepted: 4 February 2022    Published: 16 February 2022
Views:       Downloads:
Abstract

The composite strata of coal floor is an important barrier to block the lifting and bursting of thick limestone groundwater into the mining space. Taking J3 and J4 mining areas of Handicapping Coalfield as the object, this paper selected the thickness ratio of plastic brittle rock core recovery rate, composite comprehensive strength, Equivalent water barrier coefficient, Effective water-resistant layer thickness and fault complexity as the main control factors, and determined the comprehensive weight of index factors based on the entropy weight theory. Using the Archaist vulnerability index grading evaluation model, the water-isolation ability of the composite strata in the floor of J16-17 coal seam is quantitatively evaluated and divided into five grades: extremely weak, weak, medium, strong and extremely strong. The results show that the areas with strong and extremely strong water-isolation ability of the composite strata of coal floor account for 38.67% of the total area, the areas with moderate and extremely weak water-isolation ability account for 51.45%, and the areas with weak and extremely weak water-isolation ability account for 9.88%. In this paper, the coupling effect of multiple factors on composite strata is considered, and the quantitative classification and zoning discrimination of water-isolation ability of composite strata is realized, which provides technical support for accurate evaluation of water-inrush risk of coal floor.

Published in Earth Sciences (Volume 11, Issue 1)
DOI 10.11648/j.earth.20221101.12
Page(s) 6-15
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), 2024. Published by Science Publishing Group

Keywords

Composite Rock Formations, Entropy Theory, Geographic Information System (GIS), Vulnerability Index, Classification of Natural Discontinuities

References
[1] CHEN J P, ZHU J C, YIN X C, et al. Discrimination of mine water inrush source based on PHREEQC reverse simulation-cluster analysis method [J]. Coal Technology, 2020, 39 (11): 75-78.
[2] ZHU Z K, XU Z M, SUN Y J, et al. Water barrier of the upper Cambrian and its application in pressure mining in Malingshan Mine [J]. Safety Engineering, 2014, 31 (02): 226-231.
[3] The fine rule of prevention and control of water in coal mine [M]. Coal Industry Press, State Bureau of Coal Mine Safety Supervision, 2018.
[4] ZHOU H T. Study on the evolution characteristics of confined seepage flow in fractured rock mass and its hydraulic mechanism [D]. China University of Mining and Technology, 2017.
[5] YANG S N. "Water resistance coefficient" and its application [J]. Coal Geology, 1986 (03): 41-46.
[6] XU J L, QIAN M G. Application research and practice of rock formation control key layer theory [J]. CHINA MINING MAGAZINE, 2001 (06): 56-58.
[7] BAI H B. Study on the seepage mechanics characteristics of the top rock strata of Ordovician and its application as a key water-proof layer [J]. Chinese Journal of Rock Mechanics and Engineering, 2011 (06): 224.
[8] LI J L, ZHAO S P, CUI Y H. Evaluation of Water Inrush Hazard in No. 15 Coal Seam Floor of Chengzhuang Coal Mine after CBM Mining [J]. Journal of Henan Polytechnic University (Natural Science Edition), 2021, 40 (05): 1-7.
[9] FENG M M, MAO X B, ZHU Q H. The influence of lithology combination characteristics of floor water-resistant layer on water-resistant performance [J]. Safety Engineering,, 2010, 27 (03): 404-409.
[10] CHEN J P, LI J Z, WANG X D, et al. Application of Improved Vulnerability Index Method in Evaluation of Water Inrush from Coal Floor [J]. The Chinese Journal of Geological Hazard and Control, 2019, 30 (03): 67-74.
[11] HU Y, LI W, LIU S, et al. Risk assessment of water inrush from aquifers underlying the Qiuji coal mine in China [J]. Arabian Journal of Geosciences, 2019, 12 (3): 1-17.
[12] ZHANG W Q, LI B Y, LI J X. The relationship between the water resistance of the rock formation and its structural composition and combination form [J]. Coal Geology, 1992 (04): 41-44.
[13] Y Zhang. Mechanism of Water Inrush of a Deep Mining Floor Based on Coupled Mining Pressure and Confined Pressure [J]. 2021.
[14] XU Z M, LIU S S, CHEN T C, et al. Research on the evaluation method of coal seam floor hydrogeological structure and water blocking ability [J/OL]. Coal Science And Technology: 1-9 [2021-09-24]. http://kns.cnki.net/kcms/detail/11.2402.TD.20210706.1130.002.html.
[15] PANG G G. Key technology of Ordovician ash water damage prevention and control in Baode coal mine floor [J] Safety in Coal Mines, 2020, 51 (01): 75-79.
[16] LI X M, LIU D M, LIAN H Q, et al. Research and application of water-proof performance of carbonate rock formation in Fengfeng Formation of Zhaozhuang Mine [J]. Coal Engineering, 2019, 51 (10): 102-107.
[17] Chen Y, Wang X, Zhao Y, et al. Quantitative Evaluation for the Threat Degree of a Thermal Reservoir to Deep Coal Mining [J]. Geofluids, 2020, 2020 (12): 1-15.
[18] LEI S, KANG H P, GAO F Q, et al. Research and application of rapid determination method for uniaxial compressive strength of broken coal in Xinyuan Coal Mine [J]. Journal of China Coal Society, 2019, 44 (11): 3412-3422.
[19] HE X L, XIA Y C, DING X, et al. Calculation of wide area adaptive safe water conservation thickness and evaluation of mining impact zoning in Maowusu Desert Area [J]. Journal of China Coal Society, 2019, 44 (003): 796-803.
[20] LI J Y, LIU Q M, LIU Y, et al. Risk assessment of coal seam roof water inrush based on GIS and entropy method [J]. Coal Engineering, 2019, 51 (08): 115-119.
[21] CHEN P, PENG S Y, WANG P F, et al. Fractal and multifractal characteristics of faults and their controlling effects on outburst distribution [J]. Coal Science and Technology, 2019, 47 (07): 47-52.
[22] XU W J, ZHANG S S, WU C, et al. Quantitative Evaluation of Structural Complexity of Coal Reservoir Based on Analytic Hierarchy Process [J]. Journal of Henan Polytechnic University (Natural Science Edition), 2019, 38 (02): 20-26.
[23] Wang X, Wang T, Qi W, et al. Evaluation of Floor Water Inrush based on Fractal Theory and an Improved Analytic Hierarchy Process [J]. Mine Water and the Environment, 2016, 36 (1): 1-9.
[24] HE R, WANG B, YANG W L. Grey Relational Model for Evaluation of Mining Damage Grade of Buildings in Mining Areas [J]. Journal of Henan Polytechnic University (Natural Science Edition), 2016, 35 (04): 482-486.
[25] WANG X S, CHEN Z M. Optimization of mining and drainage scheme in open-pit mine based on AHP-GRAP method [J]. Coal Engineering, 2019, 51 (06): 62-67.
[26] SHI L Q, ZHANG R A, HAN J, et al. Risk Assessment of Water Inrush Based on Entropy Weight Method and Analytic Hierarchy Process [J]. Journal of Henan Polytechnic University (Natural Science Edition), 2020, 39 (03): 17-25.
[27] LI B, GUO X M, XU S, et al. Evaluation of water inrush hazard from coal seam floor based on fuzzy judgment and comprehensive weighting [J]. Journal of Henan Polytechnic University (Natural Science), 2014, 33 (01): 6-11.
[28] SHI L Q, ZHANG R A, HAN J, et al. Multi-source information fusion water inrush risk assessment based on the coupling weighting of entropy weight method and analytic hierarchy process [J]. Journal of Henan Polytechnic University (Natural Science), 2020, 39 (03): 17-25.
[29] HOU E K, JI Z C, CHE X Y, et al. Prediction method of weathered bedrock water richness based on the coupling of improved AHP and entropy weight method [J]. Journal of China Coal Society, 2019, 44 (10): 3164-3173.
[30] WANG C Y, PAN X H, SA Z Y, et al. Application of combined weight variable set model in coal and gas outburst evaluation [J]. Journal of Henan Polytechnic University (Natural Science), 2017, 36 (02): 35-40.
[31] ZHOU W B, FENG N. Application of Geographic Information System in Coal Mine [J]. Coal Technology, 2020, 39 (05): 174-176.
[32] WEN G C, DENG Y S, YU Y Q. Design and implementation of mine flood forecasting platform based on GIS and modeling theory [J]. Journal of Henan Polytechnic University (Natural Science), 2010, 29 (06): 709-714.
[33] LIU X Y, ZHANG J J, LIU S Q, et al. Application of AHP vulnerability assessment of coal seam floor water inrush based on GIS [J]. Coal Technology, 2018, 37 (10): 209-212.
[34] HOU E K, LONG T W, LIU Q L, et al. Evaluation of water abundance of aquifer in Luohe Formation based on ArcGIS [J]. Coal Geology & Exploration, 2019, 47 (02): 151-156.
[35] LI J L, CHEN G S, ZHANG B, et al. Evaluation of water inrush hazard from coal seam floor based on five-figure double-coefficient method [J]. Journal of Henan Polytechnic University (Natural Science), 2017, 36 (02): 30-34+40.
Cite This Article
  • APA Style

    Bo Chen, Junchao Cui, Qi Wang, Bo Zhang, Xinyi Wang. (2022). Evaluation of Water Isolation Capability of Coal Floor Rocks Based on ArcGIS Vulnerability Index Method. Earth Sciences, 11(1), 6-15. https://doi.org/10.11648/j.earth.20221101.12

    Copy | Download

    ACS Style

    Bo Chen; Junchao Cui; Qi Wang; Bo Zhang; Xinyi Wang. Evaluation of Water Isolation Capability of Coal Floor Rocks Based on ArcGIS Vulnerability Index Method. Earth Sci. 2022, 11(1), 6-15. doi: 10.11648/j.earth.20221101.12

    Copy | Download

    AMA Style

    Bo Chen, Junchao Cui, Qi Wang, Bo Zhang, Xinyi Wang. Evaluation of Water Isolation Capability of Coal Floor Rocks Based on ArcGIS Vulnerability Index Method. Earth Sci. 2022;11(1):6-15. doi: 10.11648/j.earth.20221101.12

    Copy | Download

  • @article{10.11648/j.earth.20221101.12,
      author = {Bo Chen and Junchao Cui and Qi Wang and Bo Zhang and Xinyi Wang},
      title = {Evaluation of Water Isolation Capability of Coal Floor Rocks Based on ArcGIS Vulnerability Index Method},
      journal = {Earth Sciences},
      volume = {11},
      number = {1},
      pages = {6-15},
      doi = {10.11648/j.earth.20221101.12},
      url = {https://doi.org/10.11648/j.earth.20221101.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.earth.20221101.12},
      abstract = {The composite strata of coal floor is an important barrier to block the lifting and bursting of thick limestone groundwater into the mining space. Taking J3 and J4 mining areas of Handicapping Coalfield as the object, this paper selected the thickness ratio of plastic brittle rock core recovery rate, composite comprehensive strength, Equivalent water barrier coefficient, Effective water-resistant layer thickness and fault complexity as the main control factors, and determined the comprehensive weight of index factors based on the entropy weight theory. Using the Archaist vulnerability index grading evaluation model, the water-isolation ability of the composite strata in the floor of J16-17 coal seam is quantitatively evaluated and divided into five grades: extremely weak, weak, medium, strong and extremely strong. The results show that the areas with strong and extremely strong water-isolation ability of the composite strata of coal floor account for 38.67% of the total area, the areas with moderate and extremely weak water-isolation ability account for 51.45%, and the areas with weak and extremely weak water-isolation ability account for 9.88%. In this paper, the coupling effect of multiple factors on composite strata is considered, and the quantitative classification and zoning discrimination of water-isolation ability of composite strata is realized, which provides technical support for accurate evaluation of water-inrush risk of coal floor.},
     year = {2022}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - Evaluation of Water Isolation Capability of Coal Floor Rocks Based on ArcGIS Vulnerability Index Method
    AU  - Bo Chen
    AU  - Junchao Cui
    AU  - Qi Wang
    AU  - Bo Zhang
    AU  - Xinyi Wang
    Y1  - 2022/02/16
    PY  - 2022
    N1  - https://doi.org/10.11648/j.earth.20221101.12
    DO  - 10.11648/j.earth.20221101.12
    T2  - Earth Sciences
    JF  - Earth Sciences
    JO  - Earth Sciences
    SP  - 6
    EP  - 15
    PB  - Science Publishing Group
    SN  - 2328-5982
    UR  - https://doi.org/10.11648/j.earth.20221101.12
    AB  - The composite strata of coal floor is an important barrier to block the lifting and bursting of thick limestone groundwater into the mining space. Taking J3 and J4 mining areas of Handicapping Coalfield as the object, this paper selected the thickness ratio of plastic brittle rock core recovery rate, composite comprehensive strength, Equivalent water barrier coefficient, Effective water-resistant layer thickness and fault complexity as the main control factors, and determined the comprehensive weight of index factors based on the entropy weight theory. Using the Archaist vulnerability index grading evaluation model, the water-isolation ability of the composite strata in the floor of J16-17 coal seam is quantitatively evaluated and divided into five grades: extremely weak, weak, medium, strong and extremely strong. The results show that the areas with strong and extremely strong water-isolation ability of the composite strata of coal floor account for 38.67% of the total area, the areas with moderate and extremely weak water-isolation ability account for 51.45%, and the areas with weak and extremely weak water-isolation ability account for 9.88%. In this paper, the coupling effect of multiple factors on composite strata is considered, and the quantitative classification and zoning discrimination of water-isolation ability of composite strata is realized, which provides technical support for accurate evaluation of water-inrush risk of coal floor.
    VL  - 11
    IS  - 1
    ER  - 

    Copy | Download

Author Information
  • Institute of Resources & Environment, Henan Polytechnic University, Jiaozuo, China

  • Pingdingshan Tian'an Coal Industry Co. Ltd, Pingdingshan, China

  • College of Geosciences and Engineering, North China University of Water Resources and Electric Power, Zhengzhou, China

  • Institute of Energy and Chemical Industry, China Pingmei Shenma Group, Pingdingshan, China

  • Institute of Resources & Environment, Henan Polytechnic University, Jiaozuo, China

  • Sections