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首页> 外文期刊>Water Research >TEMPORAL EVOLUTION OF GROUNDWATER COMPOSITION IN AN ALLUVIAL AQUIFER (PISUERGA RIVER, SPAIN) BY PRINCIPAL COMPONENT ANALYSIS
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TEMPORAL EVOLUTION OF GROUNDWATER COMPOSITION IN AN ALLUVIAL AQUIFER (PISUERGA RIVER, SPAIN) BY PRINCIPAL COMPONENT ANALYSIS

机译:主成分分析法研究冲积层地下水的时间演变

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摘要

A set of quantitative analytical data from the alluvial aquifer of the Pisuerga river, located at the north-east of Valladolid (Spain), has been processed by multivariate statistical techniques in order to investigate the evolution of the groundwater composition between two surveys. The original matrix consisted of 16 physico-chemical variables, determined in 32 groundwater samples collected in 32 sampling sites of the aquifer. The surveys were carried out in October 1994, at the end of the irrigation and low water period just before autumn rains, and in April-May 1995 at the beginning of the irrigation and high water period and after the recharge of aquifer. The experimental 64 x 16 matrix was analysed by Principal Component Analysis (PCA), and the resulting Principal Components (PCs) and Varimax rotated PCs (VFs) analysed by means of box and bivariate plots. The exploration of the correlation matrix allowed to uncover strong associations betu'een some variables (sulphate, chloride, hydrogencarbonate, sodium, potassium, magnesium, calcium and electrical conductivity) as well as a lack of association between the others (pH, nitrate, and trace metals). PCA showed the existence of up to five significant PCs which account for 71 .39 of the variance. Two of them can be initially assigned to mineralization whereas the other PCs are built from variables indicative of pollution. Box and bivariate plots of the two first PCs showed that mineralization' is maintained through surveys and that trace elements increase from the first to the second survey in all zones, as a possible cons
机译:为了调查两次调查之间地下水组成的变化,已使用多变量统计技术处理了位于巴利亚多利德(西班牙)东北部的Pisuerga河冲积层的一组定量分析数据。原始矩阵由16个物理化学变量组成,这些变量是在含水层32个采样点采集的32个地下水样品中确定的。这些调查是在1994年10月,秋季雨前的灌溉和低水期结束时,以及在灌溉和高水期的开始以及含水层补给后的1995年4月至5月进行的。通过主成分分析(PCA)分析了实验性的64 x 16矩阵,并通过箱形图和双变量图分析了所得的主成分(PC)和Varimax旋转PC(VF)。对相关矩阵的探索允许发现某些变量(硫酸盐,氯化物,碳酸氢盐,钠,钾,镁,钙和电导率)之间的强关联,而其他变量(pH,硝酸盐和微量金属)。 PCA显示存在多达五台重要的PC,占差异的71 .39。最初可以将其中两个分配给矿化,而其他PC则由指示污染的变量构建。前两个PC的箱形图和双变量图显示,通过调查可以保持矿化作用,并且在所有区域中微量元素从第一次调查到第二次调查都会增加,这可能是不利的。

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