Geospatial Analysis of Spatial Variability of Groundwater Quality Using Ordinary Kriging: A Case Study of Dungarpur Tehsil, Rajasthan, India

Groundwater is one the major sources of natural water being exploited excessively for various uses in India.
 Thus, it very essential to monitor spatial and temporal variability groundwater quality. Geo-Statistical Interpolation using GIS has been considered as best most advanced method interpolation prediction studies pollution quality, adopted universally. In this paper, ordinary Kriging with logarithmic data transformation used interpolate predict variation quality parameters - EC, TDS, pH, Na+, Ca2+, Bi-Carbonate, Fluoride, Chloride, Sulphate Nitrate pertaining 48 well locations Dungarpur tehsil. Data was transformed normalized Logarithmic Transformation Method Semivariograms were drawn analyzed selecting suitable model. The Semivariogram model obtained based upon cross validation on lesser RMSE criterion Coefficient Determination. results show that semivariogram varied each parameter. For log Exponential found TH etc.; Spherical Ca2+ ; Chloride Gaussian Model Chloride. original or raw non-transformed Nitrate; pH Bi-Carbonates.