Modeling and Optimization of Acid Blue 193 Removal by UV and Peroxydisulfate Process
Publication: Journal of Environmental Engineering
Volume 144, Issue 8
Abstract
In this study, the advanced oxidation process for dye removal from textile wastewater treatment was investigated by means of an experimental setup in which the effect of several parameters on dye removal efficiency [peroxydisulfate concentration, ultraviolet (UV) irradiation, temperature, dye concentration, and time] was examined. In order to predict the removal efficiency, two types of artificial neural networks were used: an adaptive neuro-fuzzy inference system (ANFIS) and an artificial neural network determined with differential evolution called hybrid self-adaptive differential evolution with neural networks (hSADE-NN). After the successful development of ANFIS, its ability to predict test data was checked. Also, a series of models of the process was determined with hSADE-NN. Comparison of the two approaches indicates that both methods provide good results, the average absolute relative error for hSADE-NN being 3.61% and that for ANFIS 5.18%. After that, a process optimization was performed, the scope being to determine the conditions for maximum dye removal efficiency under various constraints, considered as a means to reduce resources consumed.
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References
Ahmadi, M., M. H. Ardakani, A. Z. Zadeh, B. Sadeghalvad, M. Torabzadehkashi, A. R. Azadmehr, J. Shayegan, J. Alikhani, H. R. Kariminia, and M. Farhadian. 2015. “Optimization and kinetic evaluation of Acid Blue 193 degradation by UV/peroxydisulfate oxidation using response surface methodology.” J. Arch. 1 (2): 59–68. https://doi.org/10.22104/AET.1999.179.
Arslan-Alaton, I., I. Kabdaşli, D. Hanbaba, and E. Kuybu. 2008. “Electrocoagulation of a real reactive dyebath effluent using aluminum and stainless steel electrodes.” J. Hazard. Mater. 150 (1): 166–173. https://doi.org/10.1016/j.jhazmat.2007.09.032.
Behnajady, M., N. Modirshahla, N. Daneshvar, and M. Rabbani. 2007. “Photocatalytic degradation of an azo dye in a tubular continuous-flow photoreactor with immobilized TiO 2 on glass plates.” Chem. Eng. J. 127 (1–3): 167–176. https://doi.org/10.1016/j.cej.2006.09.013.
Curteanu, S., G. Suditu, A. M. Buburuzan, and E. N. Dragoi. 2014. “Neural networks and differential evolution algorithm applied for modelling the depollution process of some gaseous streams.” Environ. Sci. Pollut. Res. 21 (22): 12856–12867. https://doi.org/10.1007/s11356-014-3232-x.
Daneshvar, N., A. Khataee, A. A. Ghadim, and M. Rasoulifard. 2007. “Decolorization of CI Acid Yellow 23 solution by electrocoagulation process: Investigation of operational parameters and evaluation of specific electrical energy consumption (SEEC).” J. Hazard. Mater. 148 (3): 566–572. https://doi.org/10.1016/j.jhazmat.2007.03.028.
Dragoi, E. N., and S. Curteanu. 2016. “The use of differential evolution algorithm for solving chemical engineering problems.” Rev. Chem. Eng. 32 (2): 149–180. https://doi.org/10.1515/revce-2015-0042.
Dreyfus, G. 2005. “Neural networks: An overview.” In Neural networks. Berlin, Germany: Springer.
Forgacs, E., T. Cserhati, and G. Oros. 2004. “Removal of synthetic dyes from wastewaters: A review.” Environ. Int. 30 (7): 953–971. https://doi.org/10.1016/j.envint.2004.02.001.
Gottlieb, A., C. Shaw, A. Smith, A. Wheatley, and S. Forsythe. 2003. “The toxicity of textile reactive azo dyes after hydrolysis and decolourisation.” J. Biotechnol. 101 (1): 49–56. https://doi.org/10.1016/S0168-1656(02)00302-4.
Hai, F. I., K. Yamamoto, and K. Fukushi. 2007. “Hybrid treatment systems for dye wastewater.” Crit. Rev. Environ. Sci. Technol. 37 (4): 315–377. https://doi.org/10.1080/10643380601174723.
House, D. A. 1962. “Kinetics and mechanism of oxidations by peroxydisulfate.” Chem. Rev. 62 (3): 185–203. https://doi.org/10.1021/cr60217a001.
Işık, M., and D. T. Sponza. 2008. “Anaerobic/aerobic treatment of a simulated textile wastewater.” Sep. Purif. Technol. 60 (1): 64–72. https://doi.org/10.1016/j.seppur.2007.07.043.
Jang, J.-S. 1993. “ANFIS: Adaptive-network-based fuzzy inference system.” IEEE Trans. Syst. Man Cybern. 23 (3): 665–685. https://doi.org/10.1109/21.256541.
Khataee, A., and O. Mirzajani. 2010. “UV/peroxydisulfate oxidation of CI Basic Blue 3: Modeling of key factors by artificial neural network.” Desalination 251 (1–3): 64–69. https://doi.org/10.1016/j.desal.2009.09.142.
Khataee, A., M. Pourhassan, and M. Ayazloo. 2009a. “Biological decolorization of CI Basic Green 4 solution by microalga Chlorella sp.: Effect of operational parameters.” Chin. J. Appl. Environ. Biol. 15 (1): 110–114. https://doi.org/10.3724/SP.J.1145.2009.00110.
Khataee, A., V. Vatanpour, and A. A. Ghadim. 2009b. “Decolorization of CI Acid Blue 9 solution by UV/nano-TiO 2, Fenton, Fenton-like, electro-Fenton and electrocoagulation processes: A comparative study.” J. Hazard. Mater. 161 (2–3): 1225–1233. https://doi.org/10.1016/j.jhazmat.2008.04.075.
Konstantinou, I. K., and T. A. Albanis. 2004. “TiO 2-assisted photocatalytic degradation of azo dyes in aqueous solution: Kinetic and mechanistic investigations: A review.” Appl. Catal. B 49 (1): 1–14. https://doi.org/10.1016/j.apcatb.2003.11.010.
McCallum, J. E., S. A. Madison, S. Alkan, R. L. Depinto, and R. U. Rojas Wahl. 2000. “Analytical studies on the oxidative degradation of the reactive textile dye Uniblue A.” Environ. Sci. Technol. 34 (24): 5157–5164. https://doi.org/10.1021/es0008665.
Peng, L., and Y. Wang. 2010. “Differential evolution using unifor-quasi-opposition for initializing the population.” Inf. Technol. J. 9 (8): 1629–1634. https://doi.org/10.3923/itj.2010.1629.1634.
Romero, M., J. Blanco, B. Sanchez, A. Vidal, S. Malato, A. I. Cardona, and E. Garcia. 1999. “Solar photocatalytic degradation of water and air pollutants: Challenges and perspectives.” Sol. Energy 66 (2): 169–182. https://doi.org/10.1016/S0038-092X(98)00120-0.
Salari, D., A. Niaei, S. Aber, and M. H. Rasoulifard. 2009. “The photooxidative destruction of CI Basic Yellow 2 using UV/S 2 O 8 2– process in a rectangular continuous photoreactor.” J. Hazard. Mater. 166 (1): 61–66. https://doi.org/10.1016/j.jhazmat.2008.11.039.
Sivanandam, S., S. Sumathi, and S. Deepa. 2007. Introduction to fuzzy logic using MATLAB. Berlin, Germany: Springer.
Wu, C.-H. 2008. “Effects of operational parameters on the decolorization of CI Reactive Red 198 in UV/TiO 2-based systems.” Dyes Pigm. 77 (1): 31–38. https://doi.org/10.1016/j.dyepig.2007.03.003.
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©2018 American Society of Civil Engineers.
History
Received: Feb 11, 2017
Accepted: Feb 13, 2018
Published online: May 25, 2018
Published in print: Aug 1, 2018
Discussion open until: Oct 25, 2018
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