AWWA IMTECH51344

Recent advances in artificial intelligence modeling techniques have allowed for the development of models of complex non-linear processes. In the water treatment industry, such models have fostered a greater understanding of otherwise poorly understood unit processes. This paper briefly discusses the development of artificial neural network (ANN) models for the removal of turbidity and color by enhanced coagulation. More importantly, innovative applications of these models in online and offline methods of indirect process control are discussed. When used in enhanced coagulation process control, the models offer a method of determining the appropriate operating conditions for the entire spectrum of raw water conditions. Includes 13 references, tables, figures.