Optimization and Modeling of Tetracycline Removal from Wastewater by Three-Dimensional Electrochemical System: Application of Response Surface Methodology and Least Squares Support Vector Machine
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/cm 2 were implemented for the optim...
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Veröffentlicht in: | Environmental modeling & assessment 2020-06, Vol.25 (3), p.327-341 |
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Sprache: | eng |
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Zusammenfassung: | 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/cm
2
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. |
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ISSN: | 1420-2026 1573-2967 |
DOI: | 10.1007/s10666-019-09675-9 |