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...
| Main Authors: | , , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
2011
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/3195/1/ICBioE_2011_paper.pdf |
| _version_ | 1796874975793119232 |
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| author | Mujeli, Mustapha Jami, Mohammed Saedi Kabbashi, Nassereldeen Ahmed |
| author_facet | Mujeli, Mustapha Jami, Mohammed Saedi Kabbashi, Nassereldeen Ahmed |
| author_sort | Mujeli, Mustapha |
| collection | IIUM |
| 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. |
| first_indexed | 2024-03-05T22:32:08Z |
| format | Proceeding Paper |
| id | oai:generic.eprints.org:3195 |
| institution | International Islamic University Malaysia |
| language | English |
| last_indexed | 2024-03-05T22:32:08Z |
| publishDate | 2011 |
| record_format | dspace |
| spelling | oai:generic.eprints.org: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 Proceeding Paper 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) |
| spellingShingle | TD194 Environmental effects of industries and plants Mujeli, Mustapha Jami, Mohammed Saedi Kabbashi, Nassereldeen Ahmed Ammonical nitrogen effluent prediction using artificial neural network |
| title | 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_short | Ammonical nitrogen effluent prediction using artificial neural network |
| title_sort | ammonical nitrogen effluent prediction using artificial neural network |
| topic | TD194 Environmental effects of industries and plants |
| url | http://irep.iium.edu.my/3195/1/ICBioE_2011_paper.pdf |
| work_keys_str_mv | AT mujelimustapha ammonicalnitrogeneffluentpredictionusingartificialneuralnetwork AT jamimohammedsaedi ammonicalnitrogeneffluentpredictionusingartificialneuralnetwork AT kabbashinassereldeenahmed ammonicalnitrogeneffluentpredictionusingartificialneuralnetwork |