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: Moni S.N., Aziz E.A., Malek M.A., Mokhtar N., Borhan A.A.
Other Authors: 57199181376
Format: Article
Published: Science Publishing Corporation Inc 2023
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spelling my.uniten.dspace-240602023-05-29T14:54:56Z Prediction of blue water footprint accounting for water treatment plants in Kuantan river basin Moni S.N. Aziz E.A. Malek M.A. Mokhtar N. Borhan A.A. 57199181376 57193070637 55636320055 55812608500 57205232803 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 m 3 /day, while the total maximum capacity of the WTPs was 189,654,000 m 3 /day. Hence, the prediction value that kept increasing will not be able to cater the future demand due to unstoppable urbanization. � 2018 Authors. Final 2023-05-29T06:54:55Z 2023-05-29T06:54:55Z 2018 Article 10.14419/ijet.v7i4.35.22748 2-s2.0-85059233381 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059233381&doi=10.14419%2fijet.v7i4.35.22748&partnerID=40&md5=b13d2a9c6edbff461d5e59b99ecff53f https://irepository.uniten.edu.my/handle/123456789/24060 7 4 286 293 Science Publishing Corporation Inc Scopus
institution Universiti Tenaga Nasional
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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 m 3 /day, while the total maximum capacity of the WTPs was 189,654,000 m 3 /day. Hence, the prediction value that kept increasing will not be able to cater the future demand due to unstoppable urbanization. � 2018 Authors.
author2 57199181376
author_facet 57199181376
Moni S.N.
Aziz E.A.
Malek M.A.
Mokhtar N.
Borhan A.A.
format Article
author Moni S.N.
Aziz E.A.
Malek M.A.
Mokhtar N.
Borhan A.A.
spellingShingle Moni S.N.
Aziz E.A.
Malek M.A.
Mokhtar N.
Borhan A.A.
Prediction of blue water footprint accounting for water treatment plants in Kuantan river basin
author_sort Moni S.N.
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 Inc
publishDate 2023
_version_ 1806428169677307904
score 13.214268