Prediction model of DnBP degradation based on BP neural network in AAO system |
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Authors: | Ma Yongwen Huang Mingzhi Wan Jinquan Wang Yan Sun Xiaofei Zhang Huiping |
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Institution: | a College of Environmental Science and Engineering, South China University of Technology, Guangzhou 510006, China b State Key Laboratory of Pulp and Paper Engineering, South China University of Technology, Guangzhou 510640, China c The Key Lab of Pollution Control and Ecosystem Restoration in Industry Clusters, Ministry of Education, South China University of Technology, Guangzhou 510006, China d School of Chemistry and Chemical Engineering, South China University of Technology, Guangzhou 510640, China |
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Abstract: | A laboratory-scale anaerobic-anoxic-oxic (AAO) system was established to investigate the fate of DnBP. A removal kinetic model including sorption and biodegradation was formulated, and kinetic parameters were evaluated with batch experiments under anaerobic, anoxic, oxic conditions. However, it is highly complex and is difficult to confirm the kinetic parameters using conventional mathematical modeling. To correlate the experimental data with available models or some modified empirical equations, an artificial neural network model based on multilayered partial recurrent back propagation (BP) algorithm was applied for the biodegradation of DnBP from the water quality characteristic parameters. Compared to the kinetic model, the performance of the network for modeling DnBP is found to be more impressive. The results showed that the biggest relative error of BP network prediction model was 9.95%, while the kinetic model was 14.52%, which illustrates BP model predicting effluent DnBP more accurately than kinetic model forecasting. |
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Keywords: | AAO anaerobic-anoxic-oxic DnBP di-n-butyl phthalate PAEs phthalate esters SS suspended solids COD chemical oxygen demand BOD biochemical oxygen demand TOC total organic carbon ORP oxidation reduction potential MLSS mixed liquor suspended solids R correlation coefficient Mape mean absolute percentage error RMSE root mean square error DO dissolved oxygen Eq equation WWTP wastewater treatment plant HRT hydraulic retention time SRT sludge retention time |
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