Liu Weitao, Zheng Qiushuang, Pang Lifu, Dou Weimeng, Meng Xiangxi
College of Energy and Mining Engineering, Shandong University of Science and Technology, Qingdao 266590, China.
College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China.
Math Biosci Eng. 2021 Jun 7;18(5):4987-5005. doi: 10.3934/mbe.2021254.
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 FLAC 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.
为解决煤矿顶板突水事故预测与评价问题，以红柳煤矿为背景，基于富水性指数法，结合熵权法和模糊层次分析法（FAHP）双因素法确定突水主控因素的相关权重值。利用地理信息系统（GIS）的网格处理功能和克里金插值法绘制主控因素专题图，并将导水指标权重值耦合到GIS中。运用FLAC数值模拟软件对红柳煤层开采后的导水裂隙带及水压分布变化进行数值模拟分析。结果表明，熵权法-模糊层次分析法（EM-FAHP）双因素模型得到的渗透危险性分区图与数值模拟得到的破坏高度及水压升高区结果相符。
