系统聚类逐步判别法对皖北矿区突水水源的分析

Analyzing for sources of inrush-water in Wanbei Mining Area by systemic clustering and stepwise distinguishing

以Ca2+、Mg2+、K++Na+、Cl-、SO42-、CO32-、HCO3-、pH值与TDS的测试结果为指标,对皖北矿区四含、煤系、太灰、奥灰4个主要突水含水层系统分别进行聚类分析。在此基础上,筛选出能代表各含水层水化学特征的水样进行逐步判别分析,并从中选出了SO42-与TDS两种标型组分,建立了皖北矿区突水水源的判别模型,该模型具有较好的判别效果。

Four main aquifers of Wanbei Mining Area,such as the fourth aquifer of the Quarternary, the coal aquifer, the Taiyuan limestone aquifer and the Ordovician limestone aquifer, are analyzed by systemic clustering with the indexes of Ca^2＋ ,Mg^2＋ ,K^＋ ＋ Na^＋. Cl^-, SO4^2-, CO3^2- ,HCO3^-, pH and TDS. From the clustering result, the water samples representing the characteristics of every aquifer are picked and then are analyzed by stepwise distinguishing. Therefore, a distinguishing model is established by the two representative dements of SO4^2- and TDS,which has a good effect on distinguishing sources of ihrush-water of Wanbei Mining Area.