Artificial neural network for modeling coagulant dosing for water treatment plants

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 factors. In order to reduce this percentage error and obtain optimal treatment efficiency, an...

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Main Authors:	Olanrewaju, Rashidah Funke, Muyibi, Suleyman Aremu, Salawudeen, T. Olalekan, Aibinu, Abiodun Musa
Format:	Conference or Workshop Item
Language:	English
Published:	2011
Subjects:	TK Electrical engineering. Electronics Nuclear engineering TP Chemical technology
Online Access:	http://irep.iium.edu.my/27537/ http://irep.iium.edu.my/27537/ http://irep.iium.edu.my/27537/1/artificial_neural_network_for_modeling_coagulant_dosing_for_water_treatment_plants.pdf

id	iium-27537
recordtype	eprints
spelling	iium-275372013-08-20T02:47:29Z http://irep.iium.edu.my/27537/ Artificial neural network for modeling coagulant dosing for water treatment plants Olanrewaju, Rashidah Funke Muyibi, Suleyman Aremu Salawudeen, T. Olalekan Aibinu, Abiodun Musa TK Electrical engineering. Electronics Nuclear engineering TP Chemical technology 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 factors. 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. 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 NN model is a perfect match. Such coagulant dosing based ANN will be a useful method to address most errors common in water treatment cause by human factors. 2011-05 Conference or Workshop Item NonPeerReviewed application/pdf en http://irep.iium.edu.my/27537/1/artificial_neural_network_for_modeling_coagulant_dosing_for_water_treatment_plants.pdf Olanrewaju, Rashidah Funke and Muyibi, Suleyman Aremu and Salawudeen, T. Olalekan and Aibinu, Abiodun Musa (2011) Artificial neural network for modeling coagulant dosing for water treatment plants. In: 2nd International Conference on Biotechnology Engineering (ICBioE 2011), 17-19 May 2011, The Legend Hotel, Kuala Lumpur. http://www.iium.edu.my/icbioe/2011/
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering TP Chemical technology
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering TP Chemical technology Olanrewaju, Rashidah Funke Muyibi, Suleyman Aremu Salawudeen, T. Olalekan Aibinu, Abiodun Musa Artificial neural network for modeling coagulant dosing for water treatment plants
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 factors. 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. 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 NN model is a perfect match. Such coagulant dosing based ANN will be a useful method to address most errors common in water treatment cause by human factors.
format	Conference or Workshop Item
author	Olanrewaju, Rashidah Funke Muyibi, Suleyman Aremu Salawudeen, T. Olalekan Aibinu, Abiodun Musa
author_facet	Olanrewaju, Rashidah Funke Muyibi, Suleyman Aremu Salawudeen, T. Olalekan Aibinu, Abiodun Musa
author_sort	Olanrewaju, Rashidah Funke
title	Artificial neural network for modeling coagulant dosing for water treatment plants
title_short	Artificial neural network for modeling coagulant dosing for water treatment plants
title_full	Artificial neural network for modeling coagulant dosing for water treatment plants
title_fullStr	Artificial neural network for modeling coagulant dosing for water treatment plants
title_full_unstemmed	Artificial neural network for modeling coagulant dosing for water treatment plants
title_sort	artificial neural network for modeling coagulant dosing for water treatment plants
publishDate	2011
url	http://irep.iium.edu.my/27537/ http://irep.iium.edu.my/27537/ http://irep.iium.edu.my/27537/1/artificial_neural_network_for_modeling_coagulant_dosing_for_water_treatment_plants.pdf
first_indexed	2023-09-18T20:40:54Z
last_indexed	2023-09-18T20:40:54Z
_version_	1777409357684670464

Artificial neural network for modeling coagulant dosing for water treatment plants

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