Prediction analysis of effluent removal in a septic sludge treatment plant: a biomimetics engineering approach

Effluent discharge from septic tanks is affecting the environment in developing countries. The most challenging issue facing these countries is the cost of inadequate sanitation, which includes significant economic, social, and environmental burdens. Although most sanitation facilities are evaluated...

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Main Authors:	Ting, Sie Chun, A. Malek, Marlinda, Ismail, Amelia Ritahani
Format:	Article
Language:	English English English
Published:	Royal Society of Chemistry 2014
Subjects:	QA75 Electronic computers. Computer science TA Engineering (General). Civil engineering (General)
Online Access:	http://irep.iium.edu.my/37934/ http://irep.iium.edu.my/37934/ http://irep.iium.edu.my/37934/ http://irep.iium.edu.my/37934/1/37934_Prediction%20analysis%20of%20effluent%20removal%20in%20a%20septic.pdf http://irep.iium.edu.my/37934/2/37934_Prediction%20analysis%20of%20effluent%20removal%20in%20a%20septic_SCOPUS.pdf http://irep.iium.edu.my/37934/3/37934_Prediction%20analysis%20of%20effluent%20removal%20in%20a%20septic_WOS.pdf

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spelling	iium-379342017-09-14T07:29:45Z http://irep.iium.edu.my/37934/ Prediction analysis of effluent removal in a septic sludge treatment plant: a biomimetics engineering approach Ting, Sie Chun A. Malek, Marlinda Ismail, Amelia Ritahani QA75 Electronic computers. Computer science TA Engineering (General). Civil engineering (General) Effluent discharge from septic tanks is affecting the environment in developing countries. The most challenging issue facing these countries is the cost of inadequate sanitation, which includes significant economic, social, and environmental burdens. Although most sanitation facilities are evaluated based on their immediate costs and benefits, their long-term performance should also be investigated. In this study, effluent quality—namely, the biological oxygen demand (BOD), chemical oxygen demand (COD), and total suspended solid (TSS)—was assessed using a biomimetics engineering approach. A novel immune network algorithm (INA) approach was applied to a septic sludge treatment plant (SSTP) for effluent-removal predictive modelling. The Matang SSTP in the city of Kuching, Sarawak, on the island of Borneo, was selected as a case study. Monthly effluent discharges from 2007 to 2011 were used for training, validating, and testing purposes using MATLAB 7.10. The results showed that the BOD effluent discharge prediction was less than 50% of the specified standard after the 97th month of operation. The COD and TSS effluent removals were simulated at the 85th and the 121st months, respectively. The study proved that the proposed INA-based SSTP model could be used to achieve an effective SSTP assessment and management technique. Royal Society of Chemistry 2014-09 Article PeerReviewed application/pdf en http://irep.iium.edu.my/37934/1/37934_Prediction%20analysis%20of%20effluent%20removal%20in%20a%20septic.pdf application/pdf en http://irep.iium.edu.my/37934/2/37934_Prediction%20analysis%20of%20effluent%20removal%20in%20a%20septic_SCOPUS.pdf application/pdf en http://irep.iium.edu.my/37934/3/37934_Prediction%20analysis%20of%20effluent%20removal%20in%20a%20septic_WOS.pdf Ting, Sie Chun and A. Malek, Marlinda and Ismail, Amelia Ritahani (2014) Prediction analysis of effluent removal in a septic sludge treatment plant: a biomimetics engineering approach. Environmental Science: Processes & Impacts, 16 (9). pp. 2208-2214. ISSN 2050-7887 http://pubs.rsc.org/en/content/articlelanding/2014/em/c4em00282b#!divAbstract 10.1039/c4em00282b
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English English
topic	QA75 Electronic computers. Computer science TA Engineering (General). Civil engineering (General)
spellingShingle	QA75 Electronic computers. Computer science TA Engineering (General). Civil engineering (General) Ting, Sie Chun A. Malek, Marlinda Ismail, Amelia Ritahani Prediction analysis of effluent removal in a septic sludge treatment plant: a biomimetics engineering approach
description	Effluent discharge from septic tanks is affecting the environment in developing countries. The most challenging issue facing these countries is the cost of inadequate sanitation, which includes significant economic, social, and environmental burdens. Although most sanitation facilities are evaluated based on their immediate costs and benefits, their long-term performance should also be investigated. In this study, effluent quality—namely, the biological oxygen demand (BOD), chemical oxygen demand (COD), and total suspended solid (TSS)—was assessed using a biomimetics engineering approach. A novel immune network algorithm (INA) approach was applied to a septic sludge treatment plant (SSTP) for effluent-removal predictive modelling. The Matang SSTP in the city of Kuching, Sarawak, on the island of Borneo, was selected as a case study. Monthly effluent discharges from 2007 to 2011 were used for training, validating, and testing purposes using MATLAB 7.10. The results showed that the BOD effluent discharge prediction was less than 50% of the specified standard after the 97th month of operation. The COD and TSS effluent removals were simulated at the 85th and the 121st months, respectively. The study proved that the proposed INA-based SSTP model could be used to achieve an effective SSTP assessment and management technique.
format	Article
author	Ting, Sie Chun A. Malek, Marlinda Ismail, Amelia Ritahani
author_facet	Ting, Sie Chun A. Malek, Marlinda Ismail, Amelia Ritahani
author_sort	Ting, Sie Chun
title	Prediction analysis of effluent removal in a septic sludge treatment plant: a biomimetics engineering approach
title_short	Prediction analysis of effluent removal in a septic sludge treatment plant: a biomimetics engineering approach
title_full	Prediction analysis of effluent removal in a septic sludge treatment plant: a biomimetics engineering approach
title_fullStr	Prediction analysis of effluent removal in a septic sludge treatment plant: a biomimetics engineering approach
title_full_unstemmed	Prediction analysis of effluent removal in a septic sludge treatment plant: a biomimetics engineering approach
title_sort	prediction analysis of effluent removal in a septic sludge treatment plant: a biomimetics engineering approach
publisher	Royal Society of Chemistry
publishDate	2014
url	http://irep.iium.edu.my/37934/ http://irep.iium.edu.my/37934/ http://irep.iium.edu.my/37934/ http://irep.iium.edu.my/37934/1/37934_Prediction%20analysis%20of%20effluent%20removal%20in%20a%20septic.pdf http://irep.iium.edu.my/37934/2/37934_Prediction%20analysis%20of%20effluent%20removal%20in%20a%20septic_SCOPUS.pdf http://irep.iium.edu.my/37934/3/37934_Prediction%20analysis%20of%20effluent%20removal%20in%20a%20septic_WOS.pdf
first_indexed	2023-09-18T20:54:24Z
last_indexed	2023-09-18T20:54:24Z
_version_	1777410207357337600

Prediction analysis of effluent removal in a septic sludge treatment plant: a biomimetics engineering approach

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