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

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dc.citedby2
dc.contributor.authorMoni S.N.en_US
dc.contributor.authorAziz E.A.en_US
dc.contributor.authorMalek M.A.en_US
dc.contributor.authorMokhtar N.en_US
dc.contributor.authorBorhan A.A.en_US
dc.contributor.authorid57199181376en_US
dc.contributor.authorid57193070637en_US
dc.contributor.authorid55636320055en_US
dc.contributor.authorid55812608500en_US
dc.contributor.authorid57205232803en_US
dc.date.accessioned2023-05-29T06:54:55Z
dc.date.available2023-05-29T06:54:55Z
dc.date.issued2018
dc.description.abstractWater 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.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.14419/ijet.v7i4.35.22748
dc.identifier.epage293
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85059233381
dc.identifier.spage286
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85059233381&doi=10.14419%2fijet.v7i4.35.22748&partnerID=40&md5=b13d2a9c6edbff461d5e59b99ecff53f
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/24060
dc.identifier.volume7
dc.publisherScience Publishing Corporation Incen_US
dc.sourceScopus
dc.sourcetitleInternational Journal of Engineering and Technology(UAE)
dc.titlePrediction of blue water footprint accounting for water treatment plants in Kuantan river basinen_US
dc.typeArticleen_US
dspace.entity.typePublication
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