Prediction of blue water footprint accounting for water treatment plants in Kuantan river basin

Water treatment plants (WTPs) in Kuantan river basin abstracts water from the blue water source, which is the Kuantan river. Therefore, by accounting the blue water footprint (WFb), the overall water consumption for all five WTPs namely; Sungai Lembing, Bukit Sagu, Panching, Semambu, and Bukit Ubi c...

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Main Authors:	Edriyana, Abd Aziz, Syazwan N., Moni, Marlinda, Abdul Malek, Nadiah, Mokhtar, Amirul A., Borhan
Format:	Article
Language:	English English
Published:	Science Publishing Corporation 2018
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/23128/ http://umpir.ump.edu.my/id/eprint/23128/ http://umpir.ump.edu.my/id/eprint/23128/ http://umpir.ump.edu.my/id/eprint/23128/1/Prediction%20of%20Blue%20Water%20Footprint%20Accounting%20for%20Water%20Treatments%20Plants%20in%20Kuantan%20River%20Basin.pdf http://umpir.ump.edu.my/id/eprint/23128/2/Prediction%20of%20Blue%20Water%20Footprint%20Accounting%20for%20Water%20Treatments%20Plants%20in%20Kuantan%20River%20Basin.pdf

id	ump-23128
recordtype	eprints
spelling	ump-231282019-02-12T02:57:14Z http://umpir.ump.edu.my/id/eprint/23128/ Prediction of blue water footprint accounting for water treatment plants in Kuantan river basin Edriyana, Abd Aziz Syazwan N., Moni Marlinda, Abdul Malek Nadiah, Mokhtar Amirul A., Borhan TA Engineering (General). Civil engineering (General) Water treatment plants (WTPs) in Kuantan river basin abstracts water from the blue water source, which is the Kuantan river. Therefore, by accounting the blue water footprint (WFb), the overall water consumption for all five WTPs namely; Sungai Lembing, Bukit Sagu, Panching, Semambu, and Bukit Ubi can be obtained. In order to predict the value, Backpropagation method is the best method to be used due to the historical data obtained from the WFb accounting for all five WTPs above. The objective of this study is to predict the overall blue water consumption for water treatment plants located along Kuantan river basin using Backpropagation method in artificial neural network. In this study, WFb has been accounted throughout all water treatment plants by using reference from water footprint manual. Then, the WFb will undergo a series of testing using application in MATLAB software in order to predict the future value based on historical data from 2015 until 2016. As a result, the total WFb accounting obtained was 190,543,378.2 m3/day, while the total maximum capacity of the WTPs was 189,654,000 m3/day. Hence, the prediction value that kept increasing will not be able to cater the future demand due to unstoppable urbanization. Science Publishing Corporation 2018 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/23128/1/Prediction%20of%20Blue%20Water%20Footprint%20Accounting%20for%20Water%20Treatments%20Plants%20in%20Kuantan%20River%20Basin.pdf pdf en http://umpir.ump.edu.my/id/eprint/23128/2/Prediction%20of%20Blue%20Water%20Footprint%20Accounting%20for%20Water%20Treatments%20Plants%20in%20Kuantan%20River%20Basin.pdf Edriyana, Abd Aziz and Syazwan N., Moni and Marlinda, Abdul Malek and Nadiah, Mokhtar and Amirul A., Borhan (2018) Prediction of blue water footprint accounting for water treatment plants in Kuantan river basin. International Journal of Engineering & Technology, 7 (4). pp. 286-293. ISSN 2227-524X https://www.sciencepubco.com/index.php/ijet/article/view/22748 http://dx.doi.org/10.14419/ijet.v7i4.35.22748
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	TA Engineering (General). Civil engineering (General)
spellingShingle	TA Engineering (General). Civil engineering (General) Edriyana, Abd Aziz Syazwan N., Moni Marlinda, Abdul Malek Nadiah, Mokhtar Amirul A., Borhan Prediction of blue water footprint accounting for water treatment plants in Kuantan river basin
description	Water treatment plants (WTPs) in Kuantan river basin abstracts water from the blue water source, which is the Kuantan river. Therefore, by accounting the blue water footprint (WFb), the overall water consumption for all five WTPs namely; Sungai Lembing, Bukit Sagu, Panching, Semambu, and Bukit Ubi can be obtained. In order to predict the value, Backpropagation method is the best method to be used due to the historical data obtained from the WFb accounting for all five WTPs above. The objective of this study is to predict the overall blue water consumption for water treatment plants located along Kuantan river basin using Backpropagation method in artificial neural network. In this study, WFb has been accounted throughout all water treatment plants by using reference from water footprint manual. Then, the WFb will undergo a series of testing using application in MATLAB software in order to predict the future value based on historical data from 2015 until 2016. As a result, the total WFb accounting obtained was 190,543,378.2 m3/day, while the total maximum capacity of the WTPs was 189,654,000 m3/day. Hence, the prediction value that kept increasing will not be able to cater the future demand due to unstoppable urbanization.
format	Article
author	Edriyana, Abd Aziz Syazwan N., Moni Marlinda, Abdul Malek Nadiah, Mokhtar Amirul A., Borhan
author_facet	Edriyana, Abd Aziz Syazwan N., Moni Marlinda, Abdul Malek Nadiah, Mokhtar Amirul A., Borhan
author_sort	Edriyana, Abd Aziz
title	Prediction of blue water footprint accounting for water treatment plants in Kuantan river basin
title_short	Prediction of blue water footprint accounting for water treatment plants in Kuantan river basin
title_full	Prediction of blue water footprint accounting for water treatment plants in Kuantan river basin
title_fullStr	Prediction of blue water footprint accounting for water treatment plants in Kuantan river basin
title_full_unstemmed	Prediction of blue water footprint accounting for water treatment plants in Kuantan river basin
title_sort	prediction of blue water footprint accounting for water treatment plants in kuantan river basin
publisher	Science Publishing Corporation
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/23128/ http://umpir.ump.edu.my/id/eprint/23128/ http://umpir.ump.edu.my/id/eprint/23128/ http://umpir.ump.edu.my/id/eprint/23128/1/Prediction%20of%20Blue%20Water%20Footprint%20Accounting%20for%20Water%20Treatments%20Plants%20in%20Kuantan%20River%20Basin.pdf http://umpir.ump.edu.my/id/eprint/23128/2/Prediction%20of%20Blue%20Water%20Footprint%20Accounting%20for%20Water%20Treatments%20Plants%20in%20Kuantan%20River%20Basin.pdf
first_indexed	2023-09-18T22:34:32Z
last_indexed	2023-09-18T22:34:32Z
_version_	1777416507217674240

Prediction of blue water footprint accounting for water treatment plants in Kuantan river basin

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