An intelligent modeling of coagulant dosing system for water treatment plants based on artificial neural network

Coagulation –flocculation process remains a very essential part in the water treatment chain. It involves both physical and chemical phenomena and hence susceptible to high percentage of errors due to human factor. In order to reduce this percentage error and obtain optimal treatment efficiency,...

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Main Authors:	Olanweraju, Rashidah Funke, Muyibi, Suleyman Aremu, Salawudeen, T. Olalekan, Aibinu, Abiodun Musa
Format:	Article
Language:	English
Published:	INSI Publications 2012
Subjects:	TD201 Water supply for domestic and industrial purposes
Online Access:	http://irep.iium.edu.my/27539/ http://irep.iium.edu.my/27539/ http://irep.iium.edu.my/27539/1/Rashidah-AJBAS-2012.pdf

id	iium-27539
recordtype	eprints
spelling	iium-275392012-12-17T07:17:35Z http://irep.iium.edu.my/27539/ An intelligent modeling of coagulant dosing system for water treatment plants based on artificial neural network Olanweraju, Rashidah Funke Muyibi, Suleyman Aremu Salawudeen, T. Olalekan Aibinu, Abiodun Musa TD201 Water supply for domestic and industrial purposes Coagulation –flocculation process remains a very essential part in the water treatment chain. It involves both physical and chemical phenomena and hence susceptible to high percentage of errors due to human factor. In order to reduce this percentage error and obtain optimal treatment efficiency, an intelligent coagulant dosing based on Artificial Neural Network (ANN) was proposed. Design of the Coagulant dosing using processed Moringa oleifera seed as coagulant was achieved through ANN that helps in water quality forecast and soft measure. Effort was made to suggest the optimization tips in the form of Artificial Intelligent tools that can be used for optimization of coagulation process. Such coagulant dosing based ANN will be a useful method to address most errors common in water treatment cause by human factors. Experimental results with simulated and real data show that the newly developed system is able to accurately predict coagulant dosage needed in water treatment for a small size rural community. The correlation between actual and ANN estimation of coagulant dosing model is 0.97 of 1.00. This high Correlation of coefficient indicates that the ANN model is a perfect match. INSI Publications 2012-01 Article PeerReviewed application/pdf en http://irep.iium.edu.my/27539/1/Rashidah-AJBAS-2012.pdf Olanweraju, Rashidah Funke and Muyibi, Suleyman Aremu and Salawudeen, T. Olalekan and Aibinu, Abiodun Musa (2012) An intelligent modeling of coagulant dosing system for water treatment plants based on artificial neural network. Australian Journal of Basic and Applied Sciences, 6 (1). pp. 93-99. ISSN 1991-8178 http://www.insipub.com/index.html
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TD201 Water supply for domestic and industrial purposes
spellingShingle	TD201 Water supply for domestic and industrial purposes Olanweraju, Rashidah Funke Muyibi, Suleyman Aremu Salawudeen, T. Olalekan Aibinu, Abiodun Musa An intelligent modeling of coagulant dosing system for water treatment plants based on artificial neural network
description	Coagulation –flocculation process remains a very essential part in the water treatment chain. It involves both physical and chemical phenomena and hence susceptible to high percentage of errors due to human factor. In order to reduce this percentage error and obtain optimal treatment efficiency, an intelligent coagulant dosing based on Artificial Neural Network (ANN) was proposed. Design of the Coagulant dosing using processed Moringa oleifera seed as coagulant was achieved through ANN that helps in water quality forecast and soft measure. Effort was made to suggest the optimization tips in the form of Artificial Intelligent tools that can be used for optimization of coagulation process. Such coagulant dosing based ANN will be a useful method to address most errors common in water treatment cause by human factors. Experimental results with simulated and real data show that the newly developed system is able to accurately predict coagulant dosage needed in water treatment for a small size rural community. The correlation between actual and ANN estimation of coagulant dosing model is 0.97 of 1.00. This high Correlation of coefficient indicates that the ANN model is a perfect match.
format	Article
author	Olanweraju, Rashidah Funke Muyibi, Suleyman Aremu Salawudeen, T. Olalekan Aibinu, Abiodun Musa
author_facet	Olanweraju, Rashidah Funke Muyibi, Suleyman Aremu Salawudeen, T. Olalekan Aibinu, Abiodun Musa
author_sort	Olanweraju, Rashidah Funke
title	An intelligent modeling of coagulant dosing system for water treatment plants based on artificial neural network
title_short	An intelligent modeling of coagulant dosing system for water treatment plants based on artificial neural network
title_full	An intelligent modeling of coagulant dosing system for water treatment plants based on artificial neural network
title_fullStr	An intelligent modeling of coagulant dosing system for water treatment plants based on artificial neural network
title_full_unstemmed	An intelligent modeling of coagulant dosing system for water treatment plants based on artificial neural network
title_sort	intelligent modeling of coagulant dosing system for water treatment plants based on artificial neural network
publisher	INSI Publications
publishDate	2012
url	http://irep.iium.edu.my/27539/ http://irep.iium.edu.my/27539/ http://irep.iium.edu.my/27539/1/Rashidah-AJBAS-2012.pdf
first_indexed	2023-09-18T20:40:54Z
last_indexed	2023-09-18T20:40:54Z
_version_	1777409357818888192

An intelligent modeling of coagulant dosing system for water treatment plants based on artificial neural network

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