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
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Online Access:http://irep.iium.edu.my/27537/1/artificial_neural_network_for_modeling_coagulant_dosing_for_water_treatment_plants.pdf
http://irep.iium.edu.my/27537/
http://www.iium.edu.my/icbioe/2011/
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Institution: Universiti Islam Antarabangsa Malaysia
Language: English
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spelling my.iium.irep.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 REM 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/
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
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/27537/1/artificial_neural_network_for_modeling_coagulant_dosing_for_water_treatment_plants.pdf
http://irep.iium.edu.my/27537/
http://www.iium.edu.my/icbioe/2011/
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