APPLICATION OF VISUAL, STATISTICAL AND ARTIFICIAL NEURAL NETWORK METHODS IN THE DIFFERENTIATION OF WATER FROM THE EXPLOITED AQUIFERS IN KUWAIT

Description of two aquifers hydrogeology with brackish groundwater in linkage with marine water. Chemical characteristics of 200 water wells samples are analysed by cluster and discriminant statistical methods. Examples of cross-plots of major chemical parameters are described. Classification of the water samples with the help of an artificial neural network based on major ions and their ratios.