Multiple regression equations modelling of groundwater of Ajmer-Pushkar railway line region, Rajasthan (India).
In the present work, an attempt is made to formulate multiple regression equations using all possible regressions method for groundwater quality assessment of Ajmer-Pushkar railway line region in pre- and post-monsoon seasons. Correlation studies revealed the existence of linear relationships (r 0.7) for electrical conductivity (EC), total hardness (TH) and total dissolved solids (TDS) with other water quality parameters. The highest correlation was found between EC and TDS (r = 0.973). EC showed highly significant positive correlation with Na, K, Cl, TDS and total solids (TS). TH showed highest correlation with Ca and Mg. TDS showed significant correlation with Na, K, SO4, PO4 and Cl. The study indicated that most of the contamination present was water soluble or ionic in nature. Mg was present as MgCl2; K mainly as KCl and K2SO4, and Na was present as the salts of Cl, SO4 and PO4. On the other hand, F and NO3 showed no significant correlations. The r2 values and F values (at 95% confidence limit, alpha = 0.05) for the modelled equations indicated high degree of linearity among independent and dependent variables. Also the error % between calculated and experimental values was contained within +/- 15% limit.
Department of Environmental Studies, Maharshi Dayanand Saraswati University, Ajmer-305 009, India.
Praveen
P
Mathur
Sarita
S
Sharma
Bhupendra
B
Soni
D004463:Ecology; D004553:Electric Conductivity; D006801:Humans; D007194:India; D008962:Models, Theoretical; D011890:Railroads; D012044:Regression Analysis; D012621:Seasons; D014876:Water Pollution / Q000032:analysis*; D014881:Water Supply / Q000032:analysis / Q000592:standards