Application of Response Surface Methodology For Modeling and Optimization of A Bio Coagulation Process (Sewage Wastewater Treatment Plant)

Author(s):  
Asma Ayat ◽  
Sihem Arris ◽  
Amina Abbaz ◽  
Mossaab Bencheikh-Lehocine ◽  
Abdeslam Hassen Meniai
2014 ◽  
Vol 977 ◽  
pp. 270-273
Author(s):  
Ming Li ◽  
Yan Zhen Yu ◽  
Guang Yong Yan

A response surface methodology (RSM) was used for the determination of optimum coagulation process conditions for disperse navy blue dye wastewater treatment. The experimental design was Box-Behnken design (BBD) with three operational variables: coagulant dosage, pH value and settling time. The influence of these three independent variables on the chroma removal was evaluated using a second-order polynomial multiple regression model. Quadratic model was predicted for the response variable and the maximum model-predicted chroma removal efficiency was 95%. Based on surface and contour plots, the optimum conditions were obtained to be coagulant dosage of 70.98 mg/L, pH value of 7.46, and settling time of 15.80 min with the actual chroma removal efficiency as 93%.


2013 ◽  
Vol 67 (9) ◽  
pp. 2075-2082 ◽  
Author(s):  
U. Schulze-Hennings ◽  
J. Pinnekamp

Experiments with the ultraviolet (UV)/H2O2 advanced oxidation process (AOP) were conducted to investigate the abatement of micropollutants in wastewater treatment plant effluent. The fluence and the starting concentration of H2O2 in a bench-scale batch reactor were varied according to response surface method (RSM) to examine their influence on the treatment efficiency. It was shown that the investigated AOP is very effective for the abatement of micropollutants with conversion rates typically higher than 90%. Empirical relationships between fluence, H2O2 dosage and the resulting concentration of micropollutants were established by RSM. By this means it was shown that X-ray-contrast media had been degraded only by UV light. Nevertheless, most substances were degraded by the combination of UV irradiation and H2O2. Based on RSM an optimisation of multiple responses was conducted to find the minimal fluence and H2O2 dosage that are needed to reach an efficient abatement of micropollutants.


Author(s):  
Syahira Ibrahim ◽  
Norhaliza Abdul Wahab ◽  
Aznah Nor Anuar ◽  
Mustafa Bob

This paper proposes an improved optimisation of sequencing batch reactors (SBR) for aerobic granular sludge (AGS) at high temperature-low humidity for domestic wastewater treatment using response surface methodology (RSM). The main advantages of RSM are less number of experiment required and suitable for complex process. The sludge from a conventional activated sludge wastewater treatment plant and three sequencing batch reactors (SBRs) were fed with synthetic wastewater. The experiment were carried out at different high temperatures (30, 40 and 50°C) and the formation of AGS for simultaneous organics and nutrients removal were examined in 60 days. RSM is used to model and to optimize the biological parameters for chemical oxygen demand (COD) and total phosphorus removal in SBR system. The simulation results showed that at temperature of 45.33°C give the optimum condition for the total removal of COD and phosphorus, which correspond to performance index R<sup>2</sup> of 0.955 and 0.91, respectively.


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