Optimization of Fenton process for removing TOC and color from swine wastewater using response surface method (RSM)

被引:30
|
作者
Toor, Umair Ali [1 ]
Duong, Thu Thuy [1 ]
Ko, Seong-Yun [1 ]
Hussain, Fida [1 ]
Oh, Sang-Eun [1 ]
机构
[1] Kangwon Natl Univ, Dept Biol Environm, 192-1 Hyoja Dong, Chuncheon Si 200701, Gangwon Do, South Korea
基金
新加坡国家研究基金会;
关键词
TOC removal; Color removal; Advanced oxidation processes (AOPs); Response surface method (RSM); Fenton oxidation; Swine wastewater; ELECTROCHEMICAL TREATMENT; ORGANIC-MATTER; DRINKING-WATER; PHOTO-FENTON; TOXIC DYE; OXIDATION; DESIGN; BLUE; POSTTREATMENT; ADSORPTION;
D O I
10.1016/j.jenvman.2020.111625
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Fenton oxidation process was applied to biologically treated swine wastewater (BSWW) for the removal of TOC and color constituents after coagulation with FeCl3. Optimizing of operational variables such as FeSO4 and H2O2 doses was achieved by the response surface method (RSM). Statistical analysis led to the conclusion that FeSO4 is the more important than H2O2 in the removal of TOC. However, H2O2 plays a more significant role than FeSO4 in color removal. The optimal conditions for effective removal of TOC and color from swine wastewater were derived by using process optimization. The experimental results show that overall removal of TOC and color is 76.7% and 98%, respectively, when optimal conditions of 800 mg/L (FeSO4) and 5207 mg/L (H2O2) at 120 min were used. Furthermore, the optimization model produces a desirability value of 0.980 that verifies the optimal conditions. Finally, it is observed that removal of undesirable compounds follows a pseudo-first order and pseudo-second order kinetics model with high R-2 values of 0.99 for both TOC and color removal, respectively. Statistical analysis and process optimization show that the employed model may determine conditions conducive to the effective removal of TOC and color from swine wastewater.
引用
收藏
页数:10
相关论文
共 50 条
  • [22] Optimization using response surface method (RSM) to investigate the compaction of mulch
    Saeed Shojaei
    Mohammad Ali Hakimzadeh Ardakani
    Hamid Sodaiezadeh
    Mohammad Jafari
    Seyed Fakhreddin Afzali
    Modeling Earth Systems and Environment, 2019, 5 : 1553 - 1561
  • [23] Optimization of the Fenton Oxidation of Synthetic Textile Wastewater Using Response Surface Methodology
    Thomas, Maciej
    Barbusinski, Krzysztof
    Kalemba, Katarzyna
    Piskorz, Pawel Jan
    Kozik, Violetta
    Bak, Andrzej
    FIBRES & TEXTILES IN EASTERN EUROPE, 2017, 25 (06) : 108 - 113
  • [24] Optimization of saline wastewater treatment using electrochemical oxidation process: Prediction by RSM method
    Darvishmotevalli, Mohammad
    Zarei, Ahmad
    Moradnia, Maryam
    Noorisepehr, Mohammad
    Mohammadi, Hamed
    METHODSX, 2019, 6 : 1101 - 1113
  • [25] Optimization of Electrochemical Oxidation of Textile Dye Wastewater Using Response Surface Methodology (RSM)
    Korbahti, Bahadir K.
    SURVIVAL AND SUSTAINABILITY: ENVIRONMENTAL CONCERNS IN THE 21ST CENTURY, 2011, : 1181 - 1191
  • [26] Simultaneous removal of TOC and TSS in swine wastewater using the partial nitritation process
    De Pra, Marina Celant
    Kunz, Airton
    Bortoli, Marcelo
    Perondi, Tiago
    Chini, Angelica
    JOURNAL OF CHEMICAL TECHNOLOGY AND BIOTECHNOLOGY, 2012, 87 (12) : 1641 - 1647
  • [27] An experimental investigation of textile dyeing wastewater using modified electro Fenton process with optimization by response surface methodology
    Latha, A.
    Ganesan, R.
    Bharadwaj, A. V. S. L. Sai
    Barmavatu, Praveen
    ENVIRONMENTAL QUALITY MANAGEMENT, 2024, 33 (03) : 421 - 432
  • [28] Optimization of uranium removal from uranium plant wastewater by response surface methodology (RSM)
    Luo, Yongguang
    Zhang, Weifeng
    Li, Jing
    Zhang, Libo
    Zou, Jingtian
    Hu, Jinming
    Yang, Lifeng
    Xi, Yunhao
    Liao, Tianqi
    GREEN PROCESSING AND SYNTHESIS, 2019, 8 (01) : 808 - 813
  • [29] OPTIMIZATION OF FERMENTATION PROCESS FOR TEQUILA PRODUCTION USING RESPONSE SURFACE METHODOLOGY (RSM)
    Tellez-Mora, P.
    Peraza-Luna, F. A.
    Feria-Velasco, A.
    Andrade-Gonzalez, I.
    REVISTA MEXICANA DE INGENIERIA QUIMICA, 2012, 11 (01): : 163 - 176
  • [30] Optimization of green synthesis of silver nanoparticles using Response Surface Method (RSM)
    Ibrahim, M.
    Agboola, J. B.
    Abdulkareem, A. S.
    Adedipe, O.
    Tijani, J. O.
    NANOTECHNOLOGY APPLICATIONS IN AFRICA: OPPORTUNITIES AND CONSTRAINTS, 2020, 805