1Department of Geology, Karnataka University, Dharwad.
2Department of Geology, Bangalore University, Bangalore.
Statistical factor analysis (FA) technique has been applied to chemical data of 125 bore well water samples from Kumadvathi river sub-basin to assess the un usefulness of such techniques for interpretation of the hydro chemical data. FA technique identified three factors, which account for 60% of the major ion variations observed in the sub-basin, namely, TDS, carbonate and bicarbonate. The comparison between unrotated and rotated communality values and rotated matrix led to the similar interpretations. Spatial variations of factor scores have been contoured and found that it could be directly correlated with the lithological units.
Correlation matrix, Eigen values, Eigen vectors, Percentage of trace, Factor loadings, communality
