An Investigation of Assessment and Modelling the Water Quality of Rivers Based on Artificial Neural Networks- An Initiative towards the River Ganga

Abstract

Currently many type of research work is going on for assessing and modelling the water quality of rivers in India and especially in Abroad. There has been a lot of attention towards the use of artificial neural networks (ANNs) for solving scienti?c research, environmental and engineering computing based problems which are highly complex and non-linear in nature only because of their capability to be used for an extensive range of applications like classification, prediction and clustering. It is being increasingly used for prediction and forecasting in various areas like climate, rainfall and water quality. In this paper, we have presented an investigation of existing research work that has been done for assessing and modelling the water quality of various rivers using the technique of artificial neural networks. It was found that the ANN approach turned out to be an efficient approach for water quality modelling and forecasting. All these review work really stirred new researchers to work in this field by introducing new data set, parameters and an optimal approach based on ANNs. We shall take forth this work as an initiative towards the water quality (WQ) modelling of the river Ganga as our future work.