Successful prediction for coagulant dosage and effluent turbidity of a coagulation process in a drinking water treatment plant based on the Elman neural network and random forest models

Abstract

The uncertainty of the changes in the quality of raw water, and the long lag in the process of coagulation introduce significant difficulties in eliminating turbidity during the treatment of drinking water.