MODELING OF WASTEWATER TREATMENT PLANTS FOR CONTRACTURAL EFFLUENT PERFORMANCE USING CUTTING EDGE TECHNOLOGY
Authors: Gerges, Hany; Barrett, Kenneth; Neethling, J.B.
Source: Proceedings of the Water Environment Federation, WEFTEC 2001: Session 41 through Session 50 , pp. 85-93(9)
Publisher: Water Environment Federation
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.
Document Type: Research Article
Publication date: January 1, 2001
- Proceedings of the Water Environment Federation is an archive of papers published in the proceedings of the annual Water Environment Federation® Technical Exhibition and Conference (WEFTEC® ) and specialty conferences held since the year 2000. These proceedings are not peer reviewed. WEF Members: Sign in (right panel) with your IngentaConnect user name and password to receive complimentary access.
- Subscribe to this Title
- Membership Information
- About WEF Proceedings
- WEFTEC Conference Information
- ingentaconnect is not responsible for the content or availability of external websites