Optimization of Drinking Water Treatment Process by Modeling the Aluminum Sulfate Dose

The coagulant optimal dose determination is an issue of particular concern in water treatment processes. Coagulant dosing is correlated to raw water quality related to some parameters (Turbidity, pH, Temperature and Conductivity). The aim of this study is to provide water treatment operators with a tool that enables to predict and sometimes replace the manual method (jar testing). The model is developed on the basis of current process data recorded in water treatment plant located in the middle of Morocco (Meknes). This non linear model is related to turbidity, pH and temperature parameters. Comparison between aluminum doses measured and the alum doses calculated by the elaborated model shows a very interesting result. In fact, modeling can reduce aluminum sulfate consumption by more than 10%. Thus, the model can be applied in determining aluminum doses in the water treatment plant and can be extended to others.