Ammonical nitrogen effluent prediction using artificial neural network

Ammonical nitrogen effluent prediction using artificial neural network

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 environm...

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Main Authors: Mujeli, Mustapha, Jami, Mohammed Saedi, Kabbashi, Nassereldeen Ahmed
Format: Conference or Workshop Item
Language:English
Published: 2011
Subjects:
TD194 Environmental effects of industries and plants
Online Access:http://irep.iium.edu.my/3195/
http://irep.iium.edu.my/3195/1/ICBioE_2011_paper.pdf
id iium-3195
recordtype eprints
spelling iium-31952011-11-11T10:43:38Z http://irep.iium.edu.my/3195/ Ammonical nitrogen effluent prediction using artificial neural network Mujeli, Mustapha Jami, Mohammed Saedi Kabbashi, Nassereldeen Ahmed TD194 Environmental effects of industries and plants 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. 2011 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/3195/1/ICBioE_2011_paper.pdf 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 (Unpublished)
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic TD194 Environmental effects of industries and plants
spellingShingle TD194 Environmental effects of industries and plants
Mujeli, Mustapha
Jami, Mohammed Saedi
Kabbashi, Nassereldeen Ahmed
Ammonical nitrogen effluent prediction using artificial neural network
description 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.
format Conference or Workshop Item
author Mujeli, Mustapha
Jami, Mohammed Saedi
Kabbashi, Nassereldeen Ahmed
author_facet Mujeli, Mustapha
Jami, Mohammed Saedi
Kabbashi, Nassereldeen Ahmed
author_sort Mujeli, Mustapha
title Ammonical nitrogen effluent prediction using artificial neural network
title_short Ammonical nitrogen effluent prediction using artificial neural network
title_full Ammonical nitrogen effluent prediction using artificial neural network
title_fullStr Ammonical nitrogen effluent prediction using artificial neural network
title_full_unstemmed Ammonical nitrogen effluent prediction using artificial neural network
title_sort ammonical nitrogen effluent prediction using artificial neural network
publishDate 2011
url http://irep.iium.edu.my/3195/
http://irep.iium.edu.my/3195/1/ICBioE_2011_paper.pdf
first_indexed 2023-09-18T20:10:55Z
last_indexed 2023-09-18T20:10:55Z
_version_ 1777407471336292352

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