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首页> 外文期刊>Pollution research >GROUNDWATER QUALITY ASSESSMENT WITH THE AID OF MULTIVARIATE STATISTICAL TOOLS IN KALLADA RIVER BASIN, SOUTH KERALA, INDIA
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GROUNDWATER QUALITY ASSESSMENT WITH THE AID OF MULTIVARIATE STATISTICAL TOOLS IN KALLADA RIVER BASIN, SOUTH KERALA, INDIA

机译：印度南部喀拉拉邦卡拉达河盆地的地下水质量评估及多种统计工具的帮助

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Hydrogeochemical studies were carried out in Kallada River basin (KRB) during pre-monsoon (August 2010) and post-monsoon (April 2011) season to identify the geochemical processes responsible for determining the groundwater quality. This data was subjected to correlation and multivariate statistical methods such as R-mode factor analysis and Q-mode cluster analysis, where R-mode analysis reveals the inter-relations among the variables studied, and Q-mode analysis reveals the inter-relations among the samples studied. These analyses are useful in classifying the groundwater samples and to identify geochemical processes controlling groundwater geochemistry. Na and CI show very good positive correlation between each other indicating origin from a common source. Total hardness bears positive correlation with Ca, Mg and HCO_3 suggesting the total hardness in water samples is mainly due to the presence of the calcium and magnesium bicarbonates. R-mode factor analysis generated two and three clusters for post-monsoon and pre-monsoon season respectively. Each factor with different factor loadings indicates contribution of these factors in determining the chemical composition of groundwater in this area. The Q-mode cluster analysis produced three clusters in post-monsoon and two in pre-monsoon season between the sampling wells, reflecting the difference in water quality at different locations. Sample 1 falls in the cluster that corresponds to highly polluted site for both the seasons.
机译：在季风前（2010年8月）和季风后（2011年4月）季节，在卡拉拉河流域（KRB）进行了水文地球化学研究，以确定负责确定地下水质量的地球化学过程。该数据经过相关和多元统计方法，例如R模式因子分析和Q模式聚类分析，其中R模式分析揭示了所研究变量之间的相互关系，而Q模式分析揭示了所研究变量之间的相互关系。研究的样本。这些分析可用于对地下水样品进行分类并确定控制地下水地球化学的地球化学过程。 Na和CI之间显示出非常好的正相关关系，表明来源是相同的。总硬度与Ca，Mg和HCO_3呈正相关，表明水样品中的总硬度主要归因于碳酸钙和碳酸氢镁的存在。 R型因子分析分别为季风后和季风前的季节生成了两个和三个聚类。每个具有不同因子负荷的因子都表明这些因子在确定该地区地下水的化学组成中的作用。 Q型聚类分析在季风后的采样井之间产生了三个簇，季风前的季节中产生了两个簇，反映了不同位置的水质差异。样本1属于两个季节中与高污染地点相对应的簇。

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