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Ammonical nitrogen effluent prediction using artificial neural network

Mujeli, Mustapha and Jami, Mohammed Saedi and Kabbashi, Nassereldeen Ahmed (2011) Ammonical nitrogen effluent prediction using artificial neural network. In: 2nd International Conference on Biotechnology Engineering (ICBioE 2011), 17-19 May 2011, The Legend Hotel, Kuala Lumpur. (Unpublished)

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Abstract

Ammoniacal nitrogen (NH3-N) in domestic wastewater treatment plants (WWTP’s) has recently been added as the monitoring parameter by department of environment. It is necessary to obtain a suitable model for the prediction of NH3-N in the effluent stream of WWTP in order to meet the stringent environmental laws. Therefore, the study explores the robust capability of artificial neural network (ANN) in solving complex problems, as such similar to physical, chemical and biological environment of wastewater treatment plant. Data obtained from Bandar Tun Razak Sewerage Treatment Plant (STP) was used for development of the model. The prediction of ammoniacal nitrogen in the effluent stream using the developed model shows a satisfactory result for the reason that the mean square error (MSE) and correlation coefficient (R) were 0.1591 and 0.7980 respectively.

Item Type: Conference or Workshop Item (Full Paper)
Additional Information: 5545/3195
Uncontrolled Keywords: Ammoniacal Nitrogen; wastewater treatment plants, artificial neural network
Subjects: T Technology > TD Environmental technology. Sanitary engineering > TD194 Environmental effects of industries and plants
Kulliyyahs/Centres/Divisions/Institutes: Kulliyyah of Engineering > Department of Biotechnology Engineering
Depositing User: Associate Dr. Mohammed Saedi Jami, PhD CEng MIChemE
Date Deposited: 28 Oct 2011 16:59
Last Modified: 11 Nov 2011 18:43
URI: http://irep.iium.edu.my/id/eprint/3195

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