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Dingji Mine Groundwater Hydrochemistry Characteristic Analysis Based on CATPCA and Cluster Analysis

机译:基于CATPCA和聚类分析的定吉矿山地下水水化学特征分析

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摘要

Categorical principal components analysis (CATPCA) and hierarchical cluster methods were employed to analyze the groundwater of each aquifers in Dingji mine,and the variables of the analysis are Ca2+,Mg2+,K++ Na+,HCO3 -,Cl- and SO4 2-.By using the method of CATPCA,the relationship between each water sample,the relationship between the six water quality indicators,and the relationship between the water samples and indicators were analyzed,which reflect the change law of water samples and variables,and the groundwater chemical characteristics of each aquifer in Dingji mine were revealed.The six water quality indicators were analyzed with hierarchical cluster,and the results conform with those of CATPCA analysis.The results of the analysis can offer advices for water damage prevention and control in coal mine production.
机译:采用分类主成分分析法(CATPCA)和层次聚类法对定集矿区各含水层地下水进行了分析,分析变量为Ca2 +,Mg2 +,K ++ Na +,HCO3-,Cl-和SO4 2-。分析了CATPCA的方法,各水样之间的关系,六种水质指标之间的关系以及水样与指标之间的关系,反映了水样及其变量的变化规律,以及地下水的化学特征。对分层集水区的每一个含水层进行揭示。对六种水质指标进行层次聚类分析,结果与CATPAA分析相符。分析结果可为煤矿生产中水害的防治提供建议。

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