Abstract: In this case study, factor analysis was applied for evaluation of temporal/spatial variations in the groundwater quality of Aravakurichi block, Karur district, Tamil Nadu, India. This statistical technique was employed for the better interpretation of large complex water quality data set obtained from twenty five groundwater locations in four seasons during the year 2012. The water samples were characterized for the physico-chemical parameters such as pH, total alkalinity, electrical conductivity, total hardness, calcium ions, magnesium ions, total dissolved solids, fluorides, chlorides and sulphates. Factor analysis indicated four factors initially and when rotation of the factor axis was executed, it yielded two factors with clear indication of high loadings for some variable and low loadings for others, facilitating data interpretation in terms of original variables. Overall, this case study demonstrated the effectiveness of factor analysis to identify marker variables for assessing the chemistry of groundwater besides earmarking representative sampling stations to undertake suitable water quality management in a shortest possible time.
Key words: factor analysis, varimax rotation, eigen value, factor score, marker
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