Author： Gerges Hany Barrett Kenneth Neethling J.B.
Publisher： Water Environment Federation
ISSN： 1938-6478
Source： Proceedings of the Water Environment Federation, Vol.2001, Iss.12, 2001-01, pp. : 85-93
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Abstract
A new methodology for modeling of wastewater treatment plants is presented. The methodology is based on the use of artificial neural network for simulating plant performance. In a recent project, several artificial neural networks models were developed using plant historical data. These models were then used to simulate plant performance and predict effluent quality. The models also were applied to determine the maximum “excessive” loading conditions the wastewater treatment plant can sustain without exceeding “predefined” effluent quality criteria. Artificial neural network models predictions were superior to typical statistical methods predictions. This paper presents a description of the modeling procedures and results.
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