Multivariate Statistical Analysis in the Assessment of Hydrochemistry of the Northern Korinthia Prefecture Alluvial Aquifer System (Peloponnese,Greece)

The application of multivariate statistical analyses of hydrochemical data has proved to bemost successful in the assessment of groundwater hydrochemistry, especially in situationswhere numerous samples are available. Fifteen (15) hydrochemical parameters were considered(pH, E.C., T.D.S., T.H, Ca, Mg, Na, K, HCO₃, Cl, SO₄, NO₃, NO₂, NH₄, PO₄) in 131 samplescollected from the alluvial aquifer of NE Korinthia, during May 1997. Simple and multipleregression, factor, and trend-surface analyses were applied in order to examine the importance ofeach parameter, investigate correlations among them, and separate them into groups. Statisticalfactors were selected and their geographical distribution was mapped. It was concluded thatuse of such methods reveal the prevailing evolutionary mechanisms of the studied system,thus enabling accurate and relatively quick hydrochemical assessments.