摘要
矿井突水是煤矿开采中经常遇到的地质灾害,严重威胁着煤矿的安全生产。为了快速判别突水水源,利用皖北宿(县)—临(涣)矿区生产矿井地面水位长期观测孔、井下放水孔以及井下出水点等处分别取新生界第四含水层、煤系砂岩裂隙含水层、石炭系太原组岩溶含水层及奥陶系岩溶含水层的42个稀土元素水样。采用现代统计学中的因子分析方法对矿区稀土元素的水文地球化学特征进行研究。提取了两个特征值大于1的公因子,两个因子的累计方差贡献率达到了93.055%,能够较全面的解释宿-临矿区大部分含水层的水化学信息;建立了用稀土元素作为分析变量判别突水含水层水源的Bayes模型,判别率高达93%,判别结果与因子分析结果相符。研究成果为煤矿开采中的突水水源判别提供了新的科学依据。
Water inrush is a frequent geological disaster and seriously threatens the production safety in coal mines. In order to discriminate the source of the water inrush quickly and accurately,42 groundwater samples of rare earth elements were collected in the Quaternary fourth aquifer,the coal and sandstone cranny aquifer,the Carboniferous Taiyuan formation karst aquifer and the Ordovician karst aquifer from the hydrogeological boreholes,underground drainage boreholes and groundwaterinrush sites. The hydro-geochemical characteristics of rare earth elements were researched by factor analysis. Two factors whose eigenvalues are greater than 1 were selected,and their 93. 055% cumulative variance contribution rate can account for the water chemistry information of most aquifers in Su-Lin mining area. The Bayes model was established to discriminate the source of water inrush with93% discriminating accuracy rate. The research provides a new scientific basis for the discrimination of water-inrush source in the process of coal mining.
出处
《广西大学学报（自然科学版）》
CAS
北大核心
2015年第6期1562-1569,共8页
Journal of Guangxi University（Natural Science Edition）
基金
国家自然科学基金资助项目(41372244)
关键词
稀土元素
判别模型
突水水源
因子分析
rare earth elements
discriminant model
water-inrush source
factor analysis
