In order to explore the law of groundwater evolution, the water source connection between faults and aquifers and the main sources of mine water inrush in the deep mining area of Yangcheng Coal Mine in Jining City, 40 groups of hydrochemical samples were collected and analyzed by Piper Diagram and Durov Diagram. The results showed that the fluidity of groundwater developing to the deep became weaker, the value of total dissolved solids (TDS) became larger. So, the roof and floor of coal seam were more similar in water quality types due to the conduction of faults. Using principal component analysis (PCA) to the raw data, two principal components were extracted, and the principal component scores were used as clustering variables for hierarchical cluster analysis (HCA), 5 groups of abnormal water samples were eliminated and 3 clustering groups M1, M2 and M3 were obtained from the other water samples on the tree diagram. The results showed that the combination of HCA and hydrochemical analysis was more effective in screening water samples, and the 3 clustering groups could be qualified samples to represent 3 major aquifers (Taiyuan Formation limestone aquifer, Shanxi Formation sandstone aquifer and Ordovician limestone aquifer). Finally, taking M1, M2 and M3 as grouping variables, the discriminant functions , and of the 3 aquifers were obtained, the results of stepwise discrimination analysis (SDA) showed that the discrimination model established by using 25 groups of standard water samples could discriminate the known water samples with the correct rate of 96%, 10 groups of unknown water samples collected at the fault are identified as Taiyuan Formation limestone water samples, which was consistent with the classification results of HCA, proving that the water inrush of fault DF53 was from Taiyuan Formation limestone aquifer, while the fault had little influence on Ordovician limestone aquifer.

中文翻译：

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基于水化学特征的聚类和逐步判别分析在确定矿井突水水源中的应用

为探讨济宁市阳城煤矿深部矿区地下水演化规律、断层与含水层水源联系及矿井突水的主要来源，采用Piper采集并分析了40组水化学样品。图和杜罗夫图。结果表明，向深层发展的地下水流动性变弱，总溶解固体（TDS）值变大。因此，由于断层的传导，煤层顶底板的水质类型更为相似。对原始数据进行主成分分析（PCA），提取两个主成分，以主成分得分作为聚类变量进行层次聚类分析（HCA），剔除5组异常水样，3个聚类组M1，M2 和 M3 是从树状图上的其他水样中获得的。结果表明，HCA与水化学分析相结合对水样的筛选效果更好，3个聚类组可以作为代表3个主要含水层（太原组灰岩含水层、山西组砂岩含水层和奥陶系灰岩含水层）的合格样品。最后，以 M1、M2 和 M3 为分组变量，判别函数, 并对3个含水层进行逐步判别分析(SDA)结果表明,利用25组标准水样建立的判别模型能够以96%的正确率判别已知水样,10组未知水样。断层采集的水样经鉴定为太原组灰岩水样，与HCA分类结果一致，证明断层DF53突水来自太原组灰岩含水层，而断层对奥陶系灰岩含水层影响不大.