Research article

Study of roof water inrush forecasting based on EM-FAHP two-factor model


  • Received: 27 March 2021 Accepted: 31 May 2021 Published: 07 June 2021
  • To solve the problem of predicting and evaluating coal mine roof water inrush accidents, based on the background of Hongliu coal mine, the relevant weight values of the main control factors of water inrush were determined based on the water-richness index method, combined with the entropy method and FAHP two-factor method. The grid processing function of GIS and the kriging interpolation method are used to draw thematic maps of the main controlling factors, and the weight values of the water permeability indicators are coupled into the GIS. The FLAC3D numerical simulation software is used to analyze the water-conducting fracture zone after the mining of the Hongliu Coal Seam numerical simulation of development and water pressure distribution changes. The results show that the permeability hazard zoning map obtained by the EM-FAHP two-factor model is in line with the results of the damage height and the increased water pressure zone obtained by the numerical simulation.

    Citation: Weitao Liu, Qiushuang Zheng, Lifu Pang, Weimeng Dou, Xiangxi Meng. Study of roof water inrush forecasting based on EM-FAHP two-factor model[J]. Mathematical Biosciences and Engineering, 2021, 18(5): 4987-5005. doi: 10.3934/mbe.2021254

    Related Papers:

  • To solve the problem of predicting and evaluating coal mine roof water inrush accidents, based on the background of Hongliu coal mine, the relevant weight values of the main control factors of water inrush were determined based on the water-richness index method, combined with the entropy method and FAHP two-factor method. The grid processing function of GIS and the kriging interpolation method are used to draw thematic maps of the main controlling factors, and the weight values of the water permeability indicators are coupled into the GIS. The FLAC3D numerical simulation software is used to analyze the water-conducting fracture zone after the mining of the Hongliu Coal Seam numerical simulation of development and water pressure distribution changes. The results show that the permeability hazard zoning map obtained by the EM-FAHP two-factor model is in line with the results of the damage height and the increased water pressure zone obtained by the numerical simulation.



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    [1] B. L. Zhang, Z. B. Meng, Experimental study on floor failure of coal mining above confined water, Arabian J. Geosci., 12 (2019), 1-10. doi: 10.1007/s12517-018-4128-8
    [2] Y. F. Gao, "Four-zone" model of rock mass movement and back analysis of dynamic displacement, J. China Coal Soc., 21 (1996), 51-56.
    [3] Q. D. Qu, J. L. Xu, M. G. Qian, Study on influences of key strata movement on gas emissions of adjacent layers, Chin. J. Rock Mech. Eng., 26 (2007), 1478-1484.
    [4] S. R. Wang, J. N. Wang, Distinct element analysis on coal movement law and failure mechanism during mechanized top-coal caving in steep thick seam, J. Univ. Sci. Technol. Beijing, 27 (2005), 5-8.
    [5] W. Yuan, G. Deng, Z. R. Yang, Experimental study and numerical analysis of fluid-structure coupling vibration characteristics for the reciprocating compressor pipeline, in IOP Conference Series: Earth and Environmental Science, 558 (2020), 022007.
    [6] Q. Wu, Y. Z. Liu, W. F. Zhou, Evaluation of Water Inrush Vulnerability from Aquifers Overlying Coal Seams in the Menkeqing Coal Mine, China, Mine Water Environ., 34 (2015), 258-269.
    [7] Q. Wu, W. F. Zhou, Prediction of inflow from overlying aquifers into coalmines: a case study in Jinggezhuang Coalmine, Kailuan, China, Environ. Geol., 55 (2008), 775-780.
    [8] V. M. Shik, Method of analyzing slabs to solve questions of mining pressure control, Sov. Min., 18 (1982), 432-437. doi: 10.1007/BF02528452
    [9] Y. M. Qi, M. Z. Li, K. J, Spatiotemporal development of mine water inrush and its mechanism—a case study in Ganhe coal mine, Shanxi, China, Arabian J. Geosci., 10 (2017), 1-8.
    [10] T. L. Saaty.An Exposition of the AHP in Reply to the Paper "Remarks on the Analytic Hierarchy Process", Manage. Sci., 36 (1990), 259-268.
    [11] M. DağDeviren, İ. Yüksel, Developing a fuzzy analytic hierarchy process (AHP) model for behavior-based safety management, Inf. Sci., 178 (2008), 1717-1733.
    [12] W. L. Liu, Q. Z. Zhang, Y. Y. Zhao, A fuzzy identification method for persistent scatterers in PSInSAR technology, Math. Biosci. Eng., 17 (2020), 6928-6944. doi: 10.3934/mbe.2020358
    [13] P. Manekar, T. Nandy, A. Sargaonkar, B. Rathi, M. Karthik, FAHP ranking and selection of pretreatment module for membrane separation processes in textile cluster, Bioresour. Technol., 102 (2011), 558-566. doi: 10.1016/j.biortech.2010.07.086
    [14] H. Wu, J. W. Wang, S. Liu, T. M. Yang, Research on decision-making of emergency plan for waterlogging disaster in subway station project based on linguistic intuitionistic fuzzy set and TOPSIS, Math. Biosci. Eng., 17 (2020), 4825-4851. doi: 10.3934/mbe.2020263
    [15] J. Yu, H. Y. Shen, J. H. Gou, X. G. Zhang, The Green Environment Measurement by Entropy Method: A Study Based on Minnan Coastal Area in China, J. Coastal Res., 103 (2020), 442-446. doi: 10.2112/SI103-090.1
    [16] S. J. Yang, S. T. Shao, X. H. Zhao, Research On Comprehensive Assessment of Science And Technology Government Website Based On Factor Analysis, IEEE, 17 (2015), 5717-5720.
    [17] A. Vasseur, Y. Wang, The Inviscid Limit to a Contact Discontinuity for the Compressible Navier--Stokes--Fourier System Using the Relative Entropy Method, SIAM J. Math. Anal., 47 (2015), 4350-4359. doi: 10.1137/15M1023439
    [18] R. Rodriguez, Models, methods, concepts and applications of the analytic hierarchy process, Interfaces, 32 (2002), 93.
    [19] T. L. Saaty, Decision making with the analytic hierarchy process, Int. J. Services Sci., 1 (2008), 83-98. doi: 10.1504/IJSSCI.2008.017590
    [20] Y. Choi, H. G. Kang, Y. S. Nam, Three skin zones in the Asian upper eyelid pertaining to the Asian blepharoplasty, J. Craniofacial Surg., 28 (2017), 892-897. doi: 10.1097/SCS.0000000000003511
    [21] H. Gvirtzman, M. Magaritz, Matrix and fissure water movement through unsaturated calcareous sandstone, Transp. Porous Media, 3 (1988), 343-356. doi: 10.1007/BF00233176
    [22] X. R. Meng, J. H. Wang, Z. N. Gao, Research on Coal Seam Floor Water Inrush Monitoring Based on Perception of IoT Coupled with GIS, Engineering, 4 (2012), 467-476. doi: 10.4236/eng.2012.48061
    [23] Q. Wu, J. H. Wang, D. H. Liu, F. P. Cui, S. Q. Liu, A new practical methodology of the coal floor water bursting evaluating Ⅳ: the application of AHP vulnerable index method based on GIS, J. China Coal Soc., 34 (2009), 233-238.
    [24] X. Y. Wu, J. Y. Wang, W. C. Wang, C. Tian, L. Z. Wu, Study on the stage failure mechanism and stability control of surrounding rock of repeated mining roadway, Adv. Civ. Eng., 2020 (2020), 1-16.
    [25] L. X. Zhang, Analysis of Water Quality Characteristics and Spatial Distribution of Rivers in Wanjiang Economic Belt Based on ArcGIS, Adv. Environ. Prot., 9 (2019), 511-519. doi: 10.12677/AEP.2019.93071
    [26] Z. X. Li, M. L. Han, J. T. Li, J. F. Yu, D. W. Lv, H. F. Liu, On the analysis of the high-resolution sequence stratigraphy and coal accumulating law of jurassic in Ordos Basin, J. Coal Sci. Eng., 14 (2008), 85-91. doi: 10.1007/s12404-008-0018-0
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