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Open AccessArticle

Artificial Neural Network (ANN) Approach to Modelling of Selected Nitrogen Forms Removal from Oily Wastewater in Anaerobic and Aerobic GSBR Process Phases

Department of Environmental Engineering Technology and Systems, Faculty of Civil and Environmental Engineering, Bialystok University of Technology, 15-341 Bialystok, Poland
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Presented at Innovations-Sustainability-Modernity-Openness Conference (ISMO’19), Bialystok, Poland, 22–23 May 2019.
Water 2019, 11(8), 1594; https://doi.org/10.3390/w11081594
Received: 1 July 2019 / Revised: 20 July 2019 / Accepted: 28 July 2019 / Published: 31 July 2019
(This article belongs to the Special Issue Innovations–Sustainability–Modernity–Openness in Water Research)
Paper presents artificial neural network models (ANN) approximating concentration of selected nitrogen forms in wastewater after sequence batch reactor operating with aerobic granular activated sludge (GSBR) in the anaerobic and aerobic phases. Aim of the study was to determine parameters conditioning effectiveness of selected nitrogen forms removal in GSBR reactor process phases. Models of artificial neural networks were developed separately for N-NH4, N-NO3 and total nitrogen concentration in particular process phases of GSBR reactor. In total, 6 ANN models were presented in this paper. ANN models were made as multilayer perceptron (MLP), which were learned using the Broyden-Fletcher-Goldfarb-Shanno algorithm. Developed ANN models indicated variables the most influencing of particular nitrogen forms in aerobic and anaerobic phase of GSBR reactor. Concentration of estimated nitrogen form at the beginning of anaerobic or aerobic phase, depending on ANN model, in all ANN models influenced approximated value. Obtained determination coefficients varied from 0.996 to 0.999 and were depending on estimated nitrogen form and GSBR process phase. Hence, developed ANN models can be used in further studies on modeling of nitrogen forms in anaerobic and aerobic phase of GSBR reactors. View Full-Text
Keywords: GSBR; ANN model; nitrogen removal GSBR; ANN model; nitrogen removal
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Ofman, P.; Struk-Sokołowska, J. Artificial Neural Network (ANN) Approach to Modelling of Selected Nitrogen Forms Removal from Oily Wastewater in Anaerobic and Aerobic GSBR Process Phases. Water 2019, 11, 1594.

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