顾北煤矿地下水化学特征的多元统计分析

Multivariate statistical analysis of chemical characteristics of groundwater in Gubei Coal Mine

为了研究矿井充水水源水质特征及其规律,为矿井水害防治提供指导,文章采用多元统计分析中的非线性主成分分析方法和聚类分析方法,对顾北煤矿各含水层水样Ca2+、Mg2+、Na++K+、HCO3-、Cl-、SO42-进行分析。采用非线性主成分分析法,较好地揭示了各含水层水样之间的关系,从而可推断含水层间的水力联系;得到水质指标之间关系,反映了其相互作用与变化规律;得到样本与水质指标之间的关系,从而可揭示各个含水层的水质特征。对样本和变量做了聚类分析,聚类分析结果与非线性主成分分析的结果总体一致。

For analyzing chemical characteristics of groundwater in Gubei Coal Mine, revealing its vari- ation law and providing guidance for water damage prevention and control, the nonlinear principal component analysis（PCA） and cluster analysis methods of multivariate statistical analysis were em- ployed to analyze Ca2＋, Mg2＋, Na＋ d-K＋, HCO3-, Cl- and SO42- in each aquifer water samples. The nonlinear PCA revealed the relationship between aquifers water samples, and the possible hy- draulic connection between aquifers could be explained. The relationship between water quality inde- xes was obtained which could reflect their interaction, and so was the relationship between samples and water quality indexes which could reveal the characteristics of each aquifer water quality. The cluster analysis of both water samples and variables formity with those of nonlinear PCA on the whole. was done, and the analysis results were in conformity with those of nonlinear PCA on the whole.