(2020) Optimization and Modeling of Tetracycline Removal from Wastewater by Three-Dimensional Electrochemical System: Application of Response Surface Methodology and Least Squares Support Vector Machine. Environmental Modeling and Assessment. pp. 327-341.
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Abstract
A three-dimensional electrochemical system was employed as an advanced treatment technology for treatment of tetracycline-containing wastewater. An initial tetracycline concentration of 20.17–100.23 mg/L, pH range of 2.43–9.18, and current density of 1.03–15.72 mA/cm2 were implemented for the optimization and modeling of the process within the framework of a three-factor, five-level Box–Wilson central composite design-based response surface methodology and least squares support vector machine. The results of statistics corroborated that three main effective factors and reactor performance were very well described by the second-order polynomial equation (coefficient of determination = 0.94, mean square error = 0.0042, root mean square error = 0.065, average absolute deviation = 2.51, and mean absolute error = 0.037). Under the optimal conditions introduced by the desirability function approach, 90.42 (± 2.3), 49.91 ± (8.4) and 28.80 ± (16.70) of tetracycline, chemical oxygen demand, and total organic carbon could be removed using the three-dimensional electrochemical process from wastewater. The findings of this study demonstrated that the three-dimensional electrochemical system was as an effective, simple, and economic process compared to other electrochemical systems that have been recently used for antibiotics removal and could be considered as a promising technology for further investigations. © 2019, Springer Nature Switzerland AG.
Item Type: | Article |
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Keywords: | Antibiotic; Central composite design; Modeling; Support vector machine; Tetracycline; Three-dimensional electrochemical system |
Page Range: | pp. 327-341 |
Journal or Publication Title: | Environmental Modeling and Assessment |
Journal Index: | ISI, Scopus |
Volume: | 25 |
Number: | 3 |
Identification Number: | 10.1007/s10666-019-09675-9 |
Depositing User: | دکتر محبوبه عبداللهی |
URI: | http://eprints.thums.ac.ir/id/eprint/2224 |
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