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Groundwater Quality Assessment Using Chemometric Analysis in the Adyar River, South India

机译:印度南部阿迪亚河中使用化学计量分析进行地下水质量评估

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A multivariate statistical technique has been used to assess the factors responsible for the chemical composition of the groundwater near the highly polluted Adyar River. Basic chemical parameters of the groundwater have been pooled together for evaluating and interpreting a few empirical factors controlling the chemical nature of the water. Twenty-three groundwater samples were collected in the vicinity of the Adyar River. Box-whisker plots were drawn to evaluate the chemical variation and the seasonal effect on the variables. R-mode factor analysis and cluster analysis were applied to the geochemical parameters of the water to identify the factors affecting the chemical composition of the groundwater. Dendograms of both the seasons gives two major clusters reflecting the groups of polluted and unpolluted stations. The other two minor clusters and the movement of stations from one cluster to another clearly bring out the seasonal variation in the chemical composition of the groundwater. The results of the R-mode factor analysis reveal that the groundwater chemistry of the study area reflects the influence of anthropogenic activities, rock-water interactions, saline water intrusion into the river water, and subsequent percolation into the groundwater. The complex geochemical data of the groundwater were interpreted by reducing them to seven major factors, and the seasonal variation in the chemistry of water was clearly brought out by these factors. The higher concentration of heavy metals such as Fe and Cr is attributed to the rock-water interaction and effluents from industries such as tanning, chrome-plating, and dyeing. In the urban area, the Pb concentration is high due to industrial as well as urban runoff of the atmospheric deposition from automobile pollution. Factor score analysis was used successfully to delineate the stations under study with the contributing factors, and the seasonal effect on the sample stations was identified and evaluated.
机译:多变量统计技术已用于评估造成高度污染的阿迪亚河附近地下水化学成分的因素。汇总了地下水的基本化学参数,以评估和解释一些控制水化学性质的经验因素。在阿迪亚河附近收集了23个地下水样品。绘制箱须图以评估化学变化和季节对变量的影响。将R型因子分析和聚类分析应用于水的地球化学参数,以确定影响地下水化学成分的因素。两个季节的树状图显示了两个主要的群集,反映了受污染站和未受污染站的类别。另外两个较小的星团以及站点从一个星团到另一个星团的移动清楚地表明了地下水化学成分的季节性变化。 R-mode因子分析的结果表明,研究区的地下水化学反应反映了人为活动,岩水相互作用,盐水浸入河水中以及随后渗入地下水的影响。通过将其简化为七个主要因素来解释地下水的复杂地球化学数据,并且这些因素清楚地表明了地下水化学的季节性变化。重金属(例如铁和铬)的较高浓度归因于岩水相互作用以及制革,镀铬和染色等行业的废水。在城市地区,由于工业污染以及汽车污染造成的城市径流,Pb浓度很高。因子评分分析已成功地用于使用贡献因子来描述正在研究的站点,并确定并评估了对样本站点的季节性影响。

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