基于统计学方法的某铝矿周围地下水水质监测及评价

Monitoring and Evaluation of Groundwater Quality Around an Aluminum Mine Based on Statistical Method

采用单变量和多变量统计方法以及水质指数(WQI)对2009—2022年间监测的某铝矿周围12个地下水水质参数进行了实地数据集分析。描述性统计结果表明,监测水体的铝浓度和pH值均未达到既定饮用水标准。计算得到的Spearman相关系数矩阵显示,Al浓度与pH值、NO_(3)^(-)、SO_(4)^(2-)、Cl^(-)和TDS浓度之间存在显著的统计学相关性。因子分析采用主成分分析提取法(FA/PCA)确定了4个主要影响因素。这些因素总共占数据集总方差的67.53%。分层聚类分析(HCA)结果表明,12个监测地下水水质参数可分为3个聚类,其中Al浓度和pH值为单独的聚类。结果表明,监测期间地下水质量恶化。

In this paper,univariate and multivariate statistical methods and water quality index(WQI)were used to analyze 12 groundwater quality parameters monitored from 2009 to 2022 around an aluminum mine.Descriptive statistical results showed that the concentration of aluminum and pH in the monitored water bodies did not meet the established drinking water standards.Spearman correlation coefficient matrix showed that there was significant statistical correlation between Al concentration and pH,NO_(3)^(-),SO_(4)^(2-),Cl^(-)and TDS concentration.In factor analysis,principal component analysis extraction(FA/PCA)was used to identify four main influencing factors.Together,these factors account for 67.53%of the variance of the dataset.The results of hierarchical cluster analysis(HCA)show that the 12 monitoring groundwater quality parameters can be divided into three clusters,in which Al concentration and pH value are separate clusters.The results showed that groundwater quality deteriorated during the monitoring period.