الفهرس 
INTRODUCTIONOnly 14 pages are availabe for public view
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Abstract
The coagulant optimal dose determination is an issue of raw water in water treatment processes. Turbidity removal is correlated to raw water quality related to some parameters (alum dosage, pH, slow mixing time and flash mixing time). 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 ElNozha water treatment plant. The sugeno41-type fuzzy model is related to turbidity to pH, alum dosage, slow mixing time (min), and flash mixing time (sec) (as inputs) and the turbidity removal efficiency (as output).comparison between pH: 8.21, dosage: 35 mg/l, slow mixing: 35 min, and flash mixing: 55 sec, and the turbidity removal calculated by the elaborated model shows a very interesting result. In fact, modeling can reduce turbidity removal of 83.6%. This value was comparable to the experimental data of 82.6%, consumption by more than 98% r2 (0.98). Thus, the model can be applied in determining turbidity removal in the water treatment plant and can be extended to others. The estimation cost analysis of ElNozha WTP was derived regarding capital and operating costs.