Regression analysis of ground water quality data of Sunamganj district, Bangladesh

ABSTRACT

Ground water samples from different Upazilas of Sunamganj 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 significant correlation coefficients with electrical conductivity [EC]. Calcium and EC; Bicarbonate and EC are highly correlated but not perfect. Our findings show that calcium, nitrate, and bicarbonate are significantly related with electrical conductivity at 1% level of significance. Except for the total dissolved solid, all other variables are significant at a conventional level [i.e. 5%] with expected sign. The usefulness of these linear regression equations in predicting the ground water quality is an approach, which can be applied in any other locations