The Use of a Neural Network Technique for the Prediction of Water Quality Parameters of Axios River in Northern Greece

Axios River is one of the most important transboundary rivers between the Greek and the neighbour country FYROM in the Balkan area. In this paper, Artificial Neural Networks (ANNs) were used to derive and to develop models for prediction the monthly values of some water quality parameters of the river Axios at a station located at Axioupolis site of Greece near the Greece FYROM borders by using the monthly values of the other existing water quality parameters as input variables. The monthly data of twelve water quality parameters and the discharge, for the time period 1980-1994 were selected for this analysis. The results demonstrate the ability of the appropriate Neural Network models for the prediction of water quality parameters. This provides a very useful tool for filling the missing values of time series of water quality parameters that is a very serious problem in most of the Greek monitoring stations.