RIVERMOD - Modelling, prediction and prevention of the impact of mine effluents on river water quality using artificial neural networks

The main objective of this project is to develop an AI based model for the short-tem prediction of river water quality, using historical and real-time monitored data. The system concept embraces the development of a custom designed ANN model for the simulation and prediction of a number of river water quality parameters. The cascade-correlation algorithm was found to provide the best performances, both in rivers Goul (Ireland) and Oeiras (Portugal), and the system was implement in the mine sites according to the achievements of the project.