Optimizing coagulation–flocculation processes with aluminium coagulation using response surface methods

Abstract A data-based multivariate method such as response surface methods and desirability function is considered advantageous for analysing coagulation treatment optimization. Thus, this study investigated the optimization of coagulation–flocculation using methodology. The parameters were pH, alum dose alkalinity. optimum conditions individual responses: turbidity, colour, residual aluminium phenanthrene pH 7.0, 80.0 mg/L alkalinity mg/L; 6.5, 70.0 90.0 63.2 6.2, mg/L, respectively. model equation derived from was adequate predicting values. quadratic significant ( p < 0.0001), it had a high correlation (R2, 0.746–0.975) an insignificant (LOF, > 0.05) lack fit.