Water quality modeling in an untreated effluent dominated urban river

Abstract

The procedure presented builds a bridge between computational intelligence and ecologic modeling by aoolying fuzzy rule-based model, artificial neural network, multiple linear regression for the prediction of dissolved oxygen which is one of the most important water quality indicators in an urban tributary of river brahmaputra, assam, india The study was aimed at evaluating application of three data- driven models in predicting dissolved oxygen and developing an ANN-based Do management strategy. by analyzing the key physical, chemical and biological parameters for samples drawn from key location, an assessment of the dissolved load and pollution levels at different segments in the river was made.