Liu Weitao, Han Mengke, Meng Xiangxi, Qin Yueyun
College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao 266590, China.
State Key Laboratory of Strata Intelligent Control and Green Mining Co-founded by Shandong Province and the Ministry of Science and Technology, Qingdao 266590, China.
ACS Omega. 2021 Nov 19;6(48):32671-32681. doi: 10.1021/acsomega.1c04357. eCollection 2021 Dec 7.
With the increase in mining depth, the hydrogeological conditions of mines become more complex, which leads to higher possibility and harmfulness of water inrush accidents and brings great challenges to mine safety. It is particularly important to accurately evaluate the risk of mine water inrush. In order to study and prevent the floor water disaster of coal mines, it is necessary to correctly evaluate the risk of water inrush according to the limited borehole data. Based on the six main factors affecting water inrush, such as the seam dip angle, fault fractal dimension, key-strata thickness, water pressure, mining depth, and dip length, a comprehensive evaluation index system of floor water inrush risk is established in this paper. In the first step, we combine the combination weight method based on game theory with the cloud model to calculate the risk level of water inrush at each borehole location. In the second step, the risk level is displayed in a geographic information system, and the single index and comprehensive zoning map of water inrush risk in the study area are established to provide scientific guidance for mine water disaster prevention and control in this area. Through the case study of the Yangcheng Coal Mine, the whole process is further expounded. The results show that the five actual water inrush points in the Yangcheng Coal Mine are located in the dangerous area (grade IV) and the relatively dangerous area (grade III), which verifies the effectiveness of this method. At the same time, the evaluation results show that water pressure has great influence on floor water inrush.
随着开采深度的增加，矿井水文地质条件变得更加复杂，这导致突水事故的可能性和危害性更高，给矿井安全带来巨大挑战。准确评估矿井突水风险尤为重要。为了研究和防治煤矿底板水害，有必要根据有限的钻孔数据正确评估突水风险。基于煤层倾角、断层分形维数、关键层厚度、水压、开采深度和倾向长度等影响突水的六个主要因素，本文建立了底板突水风险综合评价指标体系。第一步，将基于博弈论的组合赋权法与云模型相结合，计算各钻孔位置的突水风险等级。第二步，在地理信息系统中显示风险等级，建立研究区突水风险单指标和综合分区图，为该地区煤矿水害防治提供科学指导。通过阳城煤矿的实例研究，进一步阐述了整个过程。结果表明，阳城煤矿的五个实际突水点位于危险区（IV级）和相对危险区（III级），验证了该方法的有效性。同时，评价结果表明水压对底板突水影响较大。
