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Chemometric expertise of the quality of groundwater sources for domestic use

机译：家用地下水源质量的化学计量专业知识

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In the present study 49 representative sites have been selected for the collection of water samples from central water supplies with different geographical locations in the region of Kavala, Northern Greece. Ten physicochemical parameters (pH, electric conductivity, nitrate, chloride, sodium, potassium, total alkalinity, total hardness, bicarbonate and calcium) were analyzed monthly, in the period from January 2010 to December 2010. Chemometric methods were used for monitoring data mining and interpretation (cluster analysis, principal components analysis and source apportioning by principal components regression). The clustering of the chemical indicators delivers two major clusters related to the water hardness and the mineral components (impacted by sea, bedrock and acidity factors). The sampling locations are separated into three major clusters corresponding to the spatial distribution of the sites - coastal, lowland and semi-mountainous. The principal components analysis reveals two latent factors responsible for the data structures, which are also an indication for the sources determining the groundwater quality of the region (conditionally named mineral factor and water hardness factor). By the apportionment approach it is shown what the contribution is of each of the identified sources to the formation of the total concentration of each one of the chemical parameters. The mean values of the studied physicochemical parameters were found to be within the limits given in the 98/83/EC Directive. The water samples are appropriate for human consumption. The results of this study provide an overview of the hydrogeological profile of water supply system for the studied area.
机译：在本研究中，已经选择了49个具有代表性的地点来收集来自希腊北部卡瓦拉地区不同地理位置的中央供水的水样。从2010年1月至2010年12月，每月分析10个理化参数（pH，电导率，硝酸盐，氯化物，钠，钾，总碱度，总硬度，碳酸氢盐和钙）。使用化学计量学方法监测数据挖掘和解释（集群分析，主成分分析和通过主成分回归进行源分配）。化学指标的聚类提供与水硬度和矿物质成分（受海，基岩和酸度因素影响）有关的两个主要聚类。采样位置分为三个主要的群集，分别对应于现场的空间分布-沿海，低地和半山区。主成分分析揭示了构成数据结构的两个潜在因素，这也表明确定该地区地下水质量的水源（有条件地称为矿物质因素和水硬度因素）。通过分摊方法，显示了每个已识别来源对形成每个化学参数总浓度的贡献。发现所研究的理化参数的平均值在98/83 / EC指令中指定的范围内。水样适合人类食用。这项研究的结果为研究区域的供水系统的水文地质概况提供了概述。

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