英文摘要 |
Response Surface Methods (RSM) and desirability functions are good examples of data-based multivariate methods that can be used to study coagulation treatment optimization. This study examined and optimized the efficacy of turbidity reduction, under the operating conditions of initial turbidity Tin (50–200 NTU), pH (5–9), and alum dose (50–250 mg/L) for two types of fan (two paddles and four paddles) using Face-Centered Central Composite Design F-CCCD of RSM. The experimental results of F-CCCD were fitted to the second-order quadratic model for the two types of fans in order to formulate the impacts of each element and their interactions on the response of interest in a mathematical connection. The results showed that at optimal operating conditions for a fan with two paddles of Tin, pH and alum dose of 87.76 NTU, 8.86 and 170.43 mg/L, respectively, the predicted values of turbidity removal efficiency (E%) was 85.92% and for four paddles fan type when Tin, pH and alum dose of 156.58 NTU, 8.93, and 138.7 mg/L, respectively, the predicted values of turbidity removal efficiency (E%) was 93.71, with the desirability of 1.000. This study showed how well F-CCCD works with a desirability function to find the best conditions for the process (Tin, pH, and alum dosage) of coagulation for the turbidity removal efficiency E%. A four-paddle fan type provided the best removal efficiency. Instead of jar testing, drinking water treatment companies might utilize the findings of this study as a starting point for their work. |