naa a22 4500 510820182 CHVBK 20180411083527.0 cr unu---uuuuu 180411e20130301xx s 000 0 eng 10.1007/s11814-012-0164-3 doi (NATIONALLICENCE)springer-10.1007/s11814-012-0164-3 Statistical optimization of chemical oxygen demand removal from wastewater by electrochemical oxidation [Elektronische Daten] [Dongseog Kim, Youngwoong Song, Youngseek Park] 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 considered; 1st order kinetics showed the highest average r2 value. The backward elimination regression method was used to determine the 1st order k COD equation, and main effects and 2-way interaction effects on the 1st order equation were investigated. Using this equation, k COD 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 removal as endpoints using the multiple response surface method. Korean Institute of Chemical Engineers, Seoul, Korea, 2012 Factorial Design nationallicence Reaction Rate Constant nationallicence COD Removal nationallicence Electrochemical Treatment nationallicence Multiple Response Surface Methodology nationallicence Kim Dongseog Department of Environmental Science, Catholic University of Daegu, 712-900, Gyeongbuk, Korea aut Song Youngwoong Department of Occupational Health, Catholic University of Daegu, 712-900, Gyeongbuk, Korea aut Park Youngseek Faculty of Liberal Education, Daegu University, 712-714, Gyeongbuk, Korea aut Korean Journal of Chemical Engineering Springer US; http://www.springer-ny.com 30/3(2013-03-01), 664-670 0256-1115 30:3<664 2013 30 11814 https://doi.org/10.1007/s11814-012-0164-3 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11814-012-0164-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Kim Dongseog Department of Environmental Science, Catholic University of Daegu, 712-900, Gyeongbuk, Korea aut NATIONALLICENCE 700 1- Song Youngwoong Department of Occupational Health, Catholic University of Daegu, 712-900, Gyeongbuk, Korea aut NATIONALLICENCE 700 1- Park Youngseek Faculty of Liberal Education, Daegu University, 712-714, Gyeongbuk, Korea aut NATIONALLICENCE 773 0- Korean Journal of Chemical Engineering Springer US; http://www.springer-ny.com 30/3(2013-03-01), 664-670 0256-1115 30:3<664 2013 30 11814 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer