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出 处:《矿山工程》2021年第3期191-200,共10页Mine Engineering
摘 要:矿井水害事故的发生往往会造成重大人员伤亡和财产损失,为有针对性地投入到水害治理工作中,快速准确地判别突水水源显得至关重要。选取淮南潘谢矿区某矿第四系孔隙水、二叠煤系砂岩水、石炭系太原组灰岩水等三类水样,进行水质分析,采用灰色系统理论,分析各种离子与水样的内在规律,综合求出突水水源目标测度的计算公式,再应用独立权确定各判别因素的权重,从而将多因子判别归结于单目标决策。结果表明:三类水质(第四系孔隙水、二叠煤系砂岩水、石炭系太原组灰岩水)判别准确率依次为75%,83%,71%。将灰色决策方法应用到矿井突水水源识别中,具有准确、方便和快捷的特点。Mine water disasters often cause significant casualties and property losses. It is very important to quickly and accurately identify the water inrush source for the water disaster treatment work. Three types of water samples, namely Quaternary pore water, Permian sandstone water and Car-boniferous Taiyuan Formation limestone water, are selected from a mine in Panxie mining area of Huainan for water quality analysis. The grey system theory is used to analyze the internal laws of various ions and water samples, and the calculation formula for the target measure of water inrush source is comprehensively obtained. Then the weight of each discriminant factor is determined by the independent weight, so that the multi-factor discrimination is attributed to the single-objective decision-making. The results show that the discrimination accuracy of water quality (Quaternary pore water, Permian sandstone water and Carboniferous Taiyuan Formation limestone water) is 75%, 83% and 71% respectively. It is accurate, convenient and fast to apply grey decision method to mine water inrush source discrimination.
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