Seasonal Evaluation of Hydro-Geochemical Parameters using Goal Programming with Multiple Nonlinear Regression

Goal programming is regarded as a proven valuable mathematical programming form at a number of places. Numerous regression models can also be used to more accurately combine multiple criteria measures that can be used in GP model parameters. Those parameters can include the relative weighting and the goal constraint parameters. Multiple regression techniques were used to develop models relating to water chemical quality parameters to a set of independent chemical variables. This paper mainly focuses on predicting chemical quality parameters to a set of independent chemical variables in post and pre-monsoon seasons in the Todaraishing area of Tonk district, Rajasthan (India) by using goal programming model to solve the multiple regression equation with an aid of MS-Excel and TORA computer software packages.