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Received July 17, 2012
Accepted September 27, 2012
- This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Statistical optimization of chemical oxygen demand removal from wastewater by electrochemical oxidation
Department of Environmental Science, Catholic University of Daegu, Gyeongbuk 712-900, Korea 1Department of Occupational Health, Catholic University of Daegu, Gyeongbuk 712-900, Korea 2Faculty of Liberal Education, Daegu University, Gyeongbuk 712-714, Korea
Korean Journal of Chemical Engineering, March 2013, 30(3), 664-670(7), 10.1007/s11814-012-0164-3
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Abstract
The independent and combined effects of four variables (current density, electrolyte concentration, air flow rate and pH) on COD removal from wastewater by electrochemical oxidation were optimized using 24 full factorial experimental design. ANOVA was conducted to test the combined effects of the independent variables (the four control factors and time) on COD removal. To determine the reaction order of COD removal, 1st, 2nd or 3rd reaction orders were_x000D_
considered; 1st order kinetics showed the highest average r2 value. The backward elimination regression method was used to determine the 1st order kCOD equation, and main effects and 2-way interaction effects on the 1st order equation were investigated. Using this equation, kCOD values for the 16 experimental conditions were predicted and COD values were calculated with respect to time. Finally, we tried to determine optimal operating conditions using color and COD_x000D_
removal as endpoints using the multiple response surface method.
Keywords
References
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Arslan-Alaton I, Tureli G, Olmez-Hanci T, J. Photochem. Photobiol., A: Chem., 202, 142 (2009)
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Eaton A, Clesceri L, Greenberg A, Standard methods for examination of water and wastewater, 19th Ed., United Book Press, Maryland (1995)
Scott Fogler H, Elements of chemical reaction engineering, Prentice-Hall, Englewood Cliffs, New Jersey (1986)
Prasad RK, Srivastava SN, Chem. Eng. J., 146(1), 22 (2009)
Song Y, Kim D, Park Y, Korean J. Chem. Eng., 28(1), 156 (2011)
Myers R, Classical and modern regression with application, PWSKENT Publishing Company, Boston (1990)
Kim DS, Park YS, J. Env. Sci., 18(11), 1235 (2009)
Chen WS, Liang JS, J. Hazard. Mater., 161(2-3), 1017 (2009)
Sudoh M, Kitaguchi H, Koide K, J. Chem. Eng. Jpn., 18, 409 (1985)
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Myers R, Montgomery D, Response surface methodology, John Wiley & Sons (1995)