Li Xiao, Zhang Wenquan, Wang Xin, Wang Zaiyong, Pang Chuming
College of Energy and Mining 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. 2022 Mar 9;7(11):9430-9442. doi: 10.1021/acsomega.1c06700. eCollection 2022 Mar 22.
To study and prevent bed separation water inrush accidents in coal mines, it is necessary to evaluate the risk according to the limited geological data correctly. In this work, based on hydrogeological and mining conditions, we established a risk evaluation model and selected seven important factors, including the aquifer thickness, aquifer water abundance, hydraulic pressure of the aquifer, effective aquifuge thickness, mining failure ratio, mining height of the working face, and advancing distance as evaluation indexes. The intuitionistic fuzzy analytic hierarchy process (IFAHP) and entropy weight method (EWM) were used to analyze the weights of the original data, and the minimum information entropy principle was used to further integrate the abovementioned calculation results. With the weight results, set pair analysis-variable fuzzy set (SPA-VFS) theory was applied to determine the risk grade of each working face, which provided scientific guidance for the safe mining of coal mines. For the working face where water inrush may occur, the risk of bed separation water inrush can be reduced by optimizing the parameters or changing the mining conditions through the model analysis.
为研究和预防煤矿采动导水裂隙带突水事故，有必要依据有限的地质资料正确评估风险。本研究基于水文地质和开采条件，建立了风险评估模型，选取含水层厚度、含水层富水性、含水层水压、有效隔水层厚度、采动破坏率、工作面采高和推进距离7个重要因素作为评价指标。运用直觉模糊层次分析法（IFAHP）和熵权法（EWM）对原始数据进行权重分析，并采用最小信息熵原理进一步融合上述计算结果。依据权重结果，应用集对分析-可变模糊集（SPA-VFS）理论确定各工作面的风险等级，为煤矿安全开采提供科学指导。对于可能发生突水的工作面，通过模型分析优化参数或改变开采条件，可降低采动导水裂隙带突水风险。
