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Wastewater treatment plant performance evaluation using artificial neural network model

International Postgraduate Conference On Engineering (IPCE 2010), 16th - 17th October 2010 organized by Centre for Graduate Studies, Universiti Malaysia Perlis (UniMAP) at School of Mechatronic Engineering, Pauh Putra Campus, Perlis, Malaysia.

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Bibliographic Details
Main Authors: Mustapha, Mujeli, Mohammed Saedi, Jami, Dr., Nassereldeen, Ahmed Kabbashi, Prof. Madya Dr.
Other Authors: mjlmustapha@yahoo.com
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2012
Subjects:
Wastewater treatment plant (WWTP)
Artificial neural network (ANN)
Bandar Tun Razak sewerage treatment plant (STP)
Wastewater pollutants
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/21232
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spelling my.unimap-212322012-10-08T02:48:45Z Wastewater treatment plant performance evaluation using artificial neural network model Mustapha, Mujeli Mohammed Saedi, Jami, Dr. Nassereldeen, Ahmed Kabbashi, Prof. Madya Dr. mjlmustapha@yahoo.com saedi@iiu.edu.my nasreldin@iiu.edu.my Wastewater treatment plant (WWTP) Artificial neural network (ANN) Bandar Tun Razak sewerage treatment plant (STP) Wastewater pollutants International Postgraduate Conference On Engineering (IPCE 2010), 16th - 17th October 2010 organized by Centre for Graduate Studies, Universiti Malaysia Perlis (UniMAP) at School of Mechatronic Engineering, Pauh Putra Campus, Perlis, Malaysia. 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. 2012-10-08T02:48:45Z 2012-10-08T02:48:45Z 2010-10-16 Working Paper 978-967-5760-03-7 http://hdl.handle.net/123456789/21232 en Universiti Malaysia Perlis (UniMAP) Centre for Graduate Studies
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Wastewater treatment plant (WWTP)
Artificial neural network (ANN)
Bandar Tun Razak sewerage treatment plant (STP)
Wastewater pollutants
spellingShingle Wastewater treatment plant (WWTP)
Artificial neural network (ANN)
Bandar Tun Razak sewerage treatment plant (STP)
Wastewater pollutants
Mustapha, Mujeli
Mohammed Saedi, Jami, Dr.
Nassereldeen, Ahmed Kabbashi, Prof. Madya Dr.
Wastewater treatment plant performance evaluation using artificial neural network model
description International Postgraduate Conference On Engineering (IPCE 2010), 16th - 17th October 2010 organized by Centre for Graduate Studies, Universiti Malaysia Perlis (UniMAP) at School of Mechatronic Engineering, Pauh Putra Campus, Perlis, Malaysia.
author2 mjlmustapha@yahoo.com
author_facet mjlmustapha@yahoo.com
Mustapha, Mujeli
Mohammed Saedi, Jami, Dr.
Nassereldeen, Ahmed Kabbashi, Prof. Madya Dr.
format Working Paper
author Mustapha, Mujeli
Mohammed Saedi, Jami, Dr.
Nassereldeen, Ahmed Kabbashi, Prof. Madya Dr.
author_sort Mustapha, Mujeli
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
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2012
url http://dspace.unimap.edu.my/xmlui/handle/123456789/21232
_version_ 1643793312964935680
score 13.222552

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