Sumit Dhak, R.C. Purohit, Deepesh Machiwal , K.K. Yadav and P.K. Singh
Abstract
Groundwater quality data for 53 sites from year 20052008 of Udaipur, district have been analyzed for drinking and irrigation purposes. Correlation coefficients among different parameters were determined. An attempt has been made to develop linear regression equations to predict the concentration of water quality constituents having strong Positive correlation coefficients with electrical conductivity (EC), total dissolved solid (TDS) sulphate (SO4) and nitrate (NO3). Our findings show that calcium, magnesium, sodium, sulphate, chloride, and nitrate are significantly related with electrical conductivity and total dissolved solid (TDS). This suggests that electrical conductivity depends on total dissolved solids which depend on salts such as NaCl, CaCl2. These positive correlations indicate that the referred elements contribute to the groundwater salinization. The usefulness of these linear regression equations in predicting the ground water quality is an approach, which can be applied in any other locations.