The Application and Research of Electrochemical Method Treating Acid Red 3R Simulation Wastewater by Response Surface Method

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Using electrochemical oxidation method treats the acid red 3R simulation wastewater, investigates the influence of current density, electrolyte concentration, pH-value and aeration and their interaction on the removal rate of chroma. Through the design of Box-Benhnken Design(BBD) and the response surface analysis, the influence sequence of all variables is current density > aeration > electrolyte concentration > pH-value, the influence sequence of all interaction is electrolyte concentration-aeration > current density-aeration ,electrolyte concentration-pH value > current density-pH value > pH value-aeration > current density-electrolyte concentration. Ultimately, the optimal value is 98.4915% under the condition of current density of 6.51mA/cm2,electrolyte concentration of 0.04mol/L,pH-value of 4.17 and aeration of 0.24m3/h.

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1258-1262

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February 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Hong Li. Study on Treatment of PAHs Dye Wastewater by Fenton Advanced Oxidation Process. [doctoral dissertation ]Chongqing: Chongqing University, 2007, 10.

Google Scholar

[2] Shenghan Zhang, Na Bian, Yanli Han. Research and application of electrochemical water treatment technology[J]. Electric Power Environmental Protection, 2009, 25(5): 46-48.

Google Scholar

[3] Hui Zhang, Yanli Li. Application of response surface methodology to the treatment landfill leachate in a three-dimensional electrochemical reactor[J]. Waste Management, 2010, 30: 2096-210.

DOI: 10.1016/j.wasman.2010.04.029

Google Scholar

[4] Jianfeng Fu, Qiuli Wu. Statistical designs of experiments for photocatalytic process of acid blue 7 dye wastewater by nano-TiO2[J]. Energiae Solaris Sinica, 2008, 29(2): 152-156.

Google Scholar

[5] Xufeng Cui, Erdeng Du. Optimization of Photocatalytic Degradation of Antibiotic Pollutant by Response Surface Method[J]. Environmental Science and Management, 2010, 35(7): 70-74.

Google Scholar

[6] Yanyu Wu, Shaoqi Zhou. Optimization of Fenton process for biorecalcitrant concentrated leachate of reverse osmosis(RO) by response surface methodological analysis[J]. Chinese Journal of Environmental Engineering, 2010, 4(11): 2494-2497.

Google Scholar

[7] Runjuan Zhou, Jianping Xu. Printing and dyeing wastewater flocculation treatment optimization by response surface methodology[J]. Wastewater Engineering, 2011, 37(11): 139-142.

Google Scholar

[8] Zhexuan Mu, Hualin Wang. Optimization of flocculating conditions of microbial flocculant using response surface methodology[J]. Environmental Chemistry, 2010, 29(2): 241-245.

Google Scholar

[9] Montgomery D C. Design and analysis of experiments[M]. New York: John Wiley and Sons, (1997).

Google Scholar