Application of Response Surface Methodology for Statistical Analysis of Treatment of Wastewater from a Para Rubber Plant Using Ozonation
Abstract
One of the major problems of a rubber processing factory is poor wastewater quality that does not fall within the standard set forth by the Department of Industrial Works. The objective of the present research was therefore to study para rubber wastewater treatment using ozonation as well as the application of Response Surface Methodology (RSM) with the Central Composite Design (CCD) model for statistical analysis of the treatment data. The studied factors include the dosage rate of ozone, which was varied at 3 levels, i.e., 600, 900, and 1,200 mg/h; the contact time, which was varied at 3 levels, i.e., 90, 120, and 150 min; and pH, which was again varied at 3 levels, i.e., 3, 7, and 9. From the results, it was found that the highest COD and BOD removal efficiencies were 43.51±1.86 and 83.51±5.82%, respectively. Statistical analysis results reveal that the Quadratic model was the most suitable mathematical model for the prediction of BOD removal efficiency. The value of R2 was equal to 0.9249, while the F-value and p-value were 38.86 and less than 0.0001, respectively, suggesting that the model was significant. The p-value of Lack of Fit was, on the other hand, 0.1451, indicating that the Lack of Fit of the model was insignificant. The optimal condition was noted to be at the ozone dosage rate of 1,200 mg/h, contact time of 126 min and pH of 9; such a condition resulted in the BOD removal efficiency of 85.99%.
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