Publication:
An Early Warning System for Reservoir Water Release Operation Using Agent-Based Negative Selection Model

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dc.contributor.authorDoi S.M.C.en_US
dc.contributor.authorNorwawi N.M.en_US
dc.contributor.authorIsmail R.en_US
dc.date.accessioned2024-05-29T02:02:54Z
dc.date.available2024-05-29T02:02:54Z
dc.date.issued2020
dc.description.abstractAn early warning system is one of the best solutions for flood management. It enhances the reservoir floodgate operation, flood proofing, flood insurance, and flood plain zoning processes. The timeline and accuracy of the decision to open the reservoir gate are critical. Any delay might damage the dam caused by the excess water, leading to flash flood to the surrounding areas. Consequently, huge losses could be incurred, such as the loss of lives, properties, and financial ruins. At this point, the reservoir floodgate operator would sometimes be hesitant to make an early decision due to inconsistency in getting heavy rainfall data readings, which are under manual control. Therefore, this paper proposes the use of an autonomous agent-based system based on the Artificial Immune Systems (AIS). This system would immediately send readings to the reservoir operator so that gradual release of water from the reservoir can be done to prevent it from bursting. This task requires a certain level of experience and expertise in decision making to ensure no water shortage due to the volume of water to be released. This proposed early warning system is based on the immune negative selection and intelligent agent to monitor the changes in the reservoir water level. This autonomous early detection mechanism can support the domain expert's job to recognise the threats early on, which is required to improve the monitoring procedure. � Published under licence by IOP Publishing Ltd.en_US
dc.identifier.doi10.1088/1742-6596/1551/1/012009
dc.identifier.issn1742-6588
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85087658495
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85087658495&doi=10.1088%2f1742-6596%2f1551%2f1%2f012009&partnerID=40&md5=ab9b47c3c1bf6c26ab3dfa7945b881ee
dc.identifier.urihttps://iopscience.iop.org/article/10.1088/1742-6596/1551/1/012009/pdf
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/10234
dc.identifier.volume1551
dc.languageEnglish
dc.language.isoen_USen_US
dc.publisherInstitute of Physics Publishingen_US
dc.relation.ispartofJournal of Physics: Conference Seriesen_US
dc.sourceScopus
dc.subjectArtificial Immune Systemen_US
dc.subjectDecision Makingen_US
dc.subjectFlood Managementen_US
dc.subjectNegative Selectionen_US
dc.titleAn Early Warning System for Reservoir Water Release Operation Using Agent-Based Negative Selection Modelen_US
dc.typeArticleen_US
dspace.entity.typePublication

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