A Multivariate Statistical Analysis of Bore Well Chemistry Data - Nashik and Niphad Taluka of Maharashtra, India
Journal Title: Universal Journal of Environmental Research and Technology - Year 2011, Vol 1, Issue 2
Abstract
Pearson correlation matrix, Hierarchical cluster and principal component analysis (PCA) were simultaneously applied to groundwater hydro chemical data of 31 bore well locations in post monsoon 2007 from Nashik and Nipahd taluka. Using the Kaiser criterion, principle component (PC) was extracted from the data and rotated using varimax normalization, for 31 locations. The combined use of both technique resulted in more reliable interpretation of the hydrochemistry. From the analysis, concentration of total dissolved solids (TDS), electrical conductivity (EC), total hardness (TH), calcium (Ca), magnesium (Mg), sodium ( Na), chloride (Cl), bicarbonate (HCO3) at most of the sampling stations in agricultural area having higher values. Computational analysis of data set of hydro chemical constituents in the groundwater suggests that the aquifer is mainly controlled by Cl, Na, EC and TDS; there is strong positive relationship between TDS - EC, TDS- Cl, TDS - TH and TDS - Na. It indicates that, there is strong evidence of anthropogenic activities on major ions present in the groundwater and weathering of sodium, potassium minerals in the study area. The high Na and Cl contents detected in certain samples may suggest the dissolution of chloride salts. The dissolution of halite in water release equal concentrations of Na and Cl into the solution.
Authors and Affiliations
Kanade S. B. and Gaikwad V. B.
Keywords
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