AWWA WQTC57125

AWWA WQTC57125 On-Line Coagulant Dose Prediction Using Neural Network Algorithm: Application on a Full Scale Water Treatment Plant
Conference Proceeding by American Water Works Association, 11/01/2002

Do-Quang, Zdravka; Deveughele, Stephane

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A significant amount of research has been conducted in the past ten years to propose alternative solutions for the on-line prediction of the optimal coagulant dose as a function of raw water quality characteristics (such as turbidity, pH, conductivity, etc.). A jar-test is usually applied in order to control the coagulant dose. However, this method is manual and cannot be performed in a continuous manner. Moreover, it implies the presence of a qualified operator. In the large water treatment plants a jar-test is performed daily, while in small plants the frequency is even lower because of the associated O