The Modelling Of An Anoxic-aerobic
Biological Reactor
Author(s)
S. R. M. Kutty, H. A. Gasim & M. H. Isa
Abstract
The anoxic-aerobic wastewater treatment process increases wastewater treatment
efficiency and decreases the aeration basin. In this study, raw data obtained from
two anoxic-aerobic biological reactors (AABR) used for the treatment of
different loads of petroleum refinery wastewater (PRW) were used for
developing a mathematical model that could simulate the process trend. The data
consists of 160 entries and was gathered over approximately 180 days from two
AABR reactors that were continuously operated in parallel. Two configurations
of artificial neural networks were compared and different numbers of neurons
were tested for an optimum model that could represent the process behaviour
under different loads. The tangent sigmoid transfer function (Tansig) at the
hidden layer and a linear transfer function (Purelin) at the output layer with 9
hidden neurons were selected as the best optimum model. From the simulation
model, the highest removal efficiency was observed as 96%, which was recorded
for chemical oxygen demand (COD) influent concentration of 3150 mg/L.
Effluent concentration below 100 mg/L was recorded for influent COD
concentration, which ranged between 150 and 700 mg/L corresponding to the
removal efficiency in the range of 78–88%.
Keywords: anoxic, aerobic, biological treatment.
Keywords
anoxic, aerobic, biological treatment.
Related Book
Other papers in this volume
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