Optimization of Fenton and electro-Fenton oxidation of biologically treated coking wastewater using response surface methodology

被引:227
作者
Zhu, Xiaobiao [1 ]
Tian, Jinping [1 ]
Liu, Rui [2 ]
Chen, Lujun [1 ]
机构
[1] Tsinghua Univ, Sch Environm, Beijing 100084, Peoples R China
[2] Tsinghua Univ, Yangtze Delta Reg Inst, Res Inst Environm, Jiaxing 314006, Peoples R China
关键词
Fenton; Electro-Fenton; Coking wastewater; Response surface methodology; Box-Behnken design; ARTIFICIAL NEURAL-NETWORK; PHOTO-FENTON; LANDFILL LEACHATE; COD REMOVAL; DEGRADATION; DESTRUCTION; RED;
D O I
10.1016/j.seppur.2011.08.023
中图分类号
TQ [化学工业];
学科分类号
081705 [工业催化];
摘要
In this study, Fenton and electro-Fenton were employed to treat biologically stabilized coking wastewater, i.e. the effluent of a biological coking wastewater treatment. The Box-Behnken experimental design (BBD) and response surface methodology (RSM) were used to design and optimize the performance of both processes. The regression quadratic model describing the TOC removal efficiency of Fenton and electro-Fenton process was developed and validated by the analysis of variances (ANOVA), respectively. The significance levels of linear and interaction effects of the reaction parameters on processes efficiencies were obtained. The optimum parameters were determined as pH 4, 1.2 h reaction time, 40 mM of Fe(2+) and H(2)O(2) for Fenton reaction; and pH 4, 1.8 h reaction time, 0.6 mM of Fe(2+) and 3.7 mA/cm(2) of current density for electro-Fenton. The corresponding TOC removal efficiencies were about 75% and 55% for Fenton and electro-Fenton, respectively. Both Fenton and electro-Fenton are effective in advanced treatment for coking wastewater, and the response surface methodology is suitable for the design and optimization of the processes. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码:444 / 450
页数:7
相关论文
共 32 条
[1]
Balanosky E, 1999, WATER SCI TECHNOL, V40, P417, DOI 10.1016/S0273-1223(99)00525-9
[2]
Bradley N, 2007, The Response Surface Methodology
[3]
Treatment of high strength hexamine-containing wastewater by Electro-Fenton method [J].
Chou, SS ;
Huang, YH ;
Lee, SN ;
Huang, GH ;
Huang, CP .
WATER RESEARCH, 1999, 33 (03) :751-759
[4]
Determination of optimum operating parameters for Acid Yellow 36 decolorization by electro-Fenton process using BDD cathode [J].
Cruz-Gonzalez, K. ;
Torres-Lopez, O. ;
Garcia-Leon, A. ;
Guzman-Mar, J. L. ;
Reyes, L. H. ;
Hernandez-Ramirez, A. ;
Peralta-Hernandez, J. M. .
CHEMICAL ENGINEERING JOURNAL, 2010, 160 (01) :199-206
[5]
Treatment of textile wastewater by heterogeneous Fenton process using a new composite Fe2O3/carbon [J].
Dantas, TLP ;
Mendonça, VP ;
José, HJ ;
Rodrigues, AE ;
Moreira, RFPM .
CHEMICAL ENGINEERING JOURNAL, 2006, 118 (1-2) :77-82
[6]
Process optimization of Fenton oxidation using kinetic modeling [J].
Duesterberg, Christopher K. ;
Waite, T. David .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2006, 40 (13) :4189-4195
[7]
Decolorization and degradation of Ponceau S azo-dye in aqueous solutions by the electrochemical advanced Fenton oxidation [J].
El-Desoky, Hanaa S. ;
Ghoneim, Mohamed M. ;
Zidan, Naglaa M. .
DESALINATION, 2010, 264 (1-2) :143-150
[8]
The use of artificial neural network (ANN) for modeling of COD removal from antibiotic aqueous solution by the Fenton process [J].
Elmolla, Emad S. ;
Chaudhuri, Malay ;
Eltoukhy, Mohamed Meselhy .
JOURNAL OF HAZARDOUS MATERIALS, 2010, 179 (1-3) :127-134
[9]
Huang YH, 1999, WATER SCI TECHNOL, V39, P145, DOI 10.2166/wst.1999.0644
[10]
Modeling and Optimization of Heterogeneous Photo-Fenton Process with Response Surface Methodology and Artificial Neural Networks [J].
Kasiri, M. B. ;
Aleboyeh, H. ;
Aleboyeh, A. .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2008, 42 (21) :7970-7975