Wastewater treatment plant performance evaluation using artificial neural network model
The final protection of wastewater pollutants to the environment is wastewater treatment plant (WWTP). This Research paper intends to develop a model from the past operational data of WWTP using artificial neural network (ANN) for the evaluation of the plant performance. The model was developed usin...
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iium-32552011-10-07T07:25:47Z http://irep.iium.edu.my/3255/ Wastewater treatment plant performance evaluation using artificial neural network model Mujeli, Mustapha Jami, Mohammed Saedi Kabbashi, Nassereldeen Ahmed TD159 Municipal engineering The final protection of wastewater pollutants to the environment is wastewater treatment plant (WWTP). This Research paper intends to develop a model from the past operational data of WWTP using artificial neural network (ANN) for the evaluation of the plant performance. The model was developed using four years’ operational data of Bandar Tun Razak sewerage treatment plant (STP) Kuala Lumpur, Malaysia. Matlab version 2008b software was used in training the ANN model. The model shows a high prediction capacity for multiple parallel outputs of effluent biochemical oxygen demand (BODe), chemical oxygen demand (CODe), suspended solid (SSe) and Ammonical nitrogen (NH3-Ne) than single output of each of the parameters individually. The coefficient of determination (R) and mean square error of the best model were 0.9449 and 2.86 respectively. 2010-10-11 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/3255/1/A08_Mustapha_Mujeli.pdf Mujeli, Mustapha and Jami, Mohammed Saedi and Kabbashi, Nassereldeen Ahmed (2010) Wastewater treatment plant performance evaluation using artificial neural network model. In: International Postgraduate Conference on Engineering (IPCE 2010), 16 - 17 October 2010, Perlis, Malaysia. |
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TD159 Municipal engineering |
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TD159 Municipal engineering Mujeli, Mustapha Jami, Mohammed Saedi Kabbashi, Nassereldeen Ahmed Wastewater treatment plant performance evaluation using artificial neural network model |
description |
The final protection of wastewater pollutants to the environment is wastewater treatment plant (WWTP). This Research paper intends to develop a model from the past operational data of WWTP using artificial neural network (ANN) for the evaluation of the plant performance. The model was developed using four years’ operational data of Bandar Tun Razak sewerage treatment plant (STP) Kuala Lumpur, Malaysia. Matlab version 2008b software was used in training the ANN model. The model shows a high prediction capacity for multiple parallel outputs of effluent biochemical oxygen demand (BODe), chemical oxygen demand (CODe), suspended solid (SSe) and Ammonical nitrogen (NH3-Ne) than single output of each of the parameters individually. The coefficient of determination (R) and mean square error of the best model were 0.9449 and 2.86 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 |
Wastewater treatment plant performance evaluation using artificial neural network model |
title_short |
Wastewater treatment plant performance evaluation using artificial neural network model |
title_full |
Wastewater treatment plant performance evaluation using artificial neural network model |
title_fullStr |
Wastewater treatment plant performance evaluation using artificial neural network model |
title_full_unstemmed |
Wastewater treatment plant performance evaluation using artificial neural network model |
title_sort |
wastewater treatment plant performance evaluation using artificial neural network model |
publishDate |
2010 |
url |
http://irep.iium.edu.my/3255/ http://irep.iium.edu.my/3255/1/A08_Mustapha_Mujeli.pdf |
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2023-09-18T20:11:01Z |
last_indexed |
2023-09-18T20:11:01Z |
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1777407477814394880 |