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Toward bridging future irrigation deficits utilizing the shark algorithm integrated with a climate change model

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dc.citedby7
dc.contributor.authorEhteram M.en_US
dc.contributor.authorEl-Shafie A.H.en_US
dc.contributor.authorHin L.S.en_US
dc.contributor.authorOthman F.en_US
dc.contributor.authorKoting S.en_US
dc.contributor.authorKarami H.en_US
dc.contributor.authorMousavi S.-F.en_US
dc.contributor.authorFarzin S.en_US
dc.contributor.authorAhmed A.N.en_US
dc.contributor.authorZawawi M.H.B.en_US
dc.contributor.authorHossain M.S.en_US
dc.contributor.authorMohd N.S.en_US
dc.contributor.authorAfan H.A.en_US
dc.contributor.authorEl-Shafie A.en_US
dc.contributor.authorid57113510800en_US
dc.contributor.authorid57207789882en_US
dc.contributor.authorid57201523473en_US
dc.contributor.authorid36630785100en_US
dc.contributor.authorid55839645200en_US
dc.contributor.authorid36863982200en_US
dc.contributor.authorid7003344568en_US
dc.contributor.authorid55315758000en_US
dc.contributor.authorid57214837520en_US
dc.contributor.authorid39162217600en_US
dc.contributor.authorid55579596900en_US
dc.contributor.authorid57192892703en_US
dc.contributor.authorid56436626600en_US
dc.contributor.authorid16068189400en_US
dc.date.accessioned2023-05-29T07:23:28Z
dc.date.available2023-05-29T07:23:28Z
dc.date.issued2019
dc.description.abstractClimate change is one of the most effectual variables on the dam operations and reservoir water system. This is due to the fact that climate change has a direct effect on the rainfall-runoff process that is influencing the water inflow to the reservoir. This study examines future trends in climate change in terms of temperature and precipitation as an important predictor to minimize the gap between water supply and demand. In this study, temperature and precipitation were predicted for the period between 2046 and 2065, in the context of climate change, based on the A1B scenario and the HAD-CM3 model. Runoff volume was then predicted with the IHACRES model. A new, nature-inspired optimization algorithm, named the shark algorithm, was examined. Climate change model results were utilized by the shark algorithm to generate an optimal operation rule for dam and reservoir water systems to minimize the gap between water supply and demand for irrigation purposes. The proposed model was applied for the Aydoughmoush Dam in Iran. Results showed that, due to the decrease in water runoff to the reservoir and the increase in irrigation demand, serious irrigation deficits could occur downstream of the Aydoughmoush Dam. � 2019 by the authors.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo3960
dc.identifier.doi10.3390/app9193960
dc.identifier.issue19
dc.identifier.scopus2-s2.0-85073301549
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85073301549&doi=10.3390%2fapp9193960&partnerID=40&md5=ce0ccc810c4a83e0ace3dce93e16cce0
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/24430
dc.identifier.volume9
dc.publisherMDPI AGen_US
dc.relation.ispartofAll Open Access, Gold
dc.sourceScopus
dc.sourcetitleApplied Sciences (Switzerland)
dc.titleToward bridging future irrigation deficits utilizing the shark algorithm integrated with a climate change modelen_US
dc.typeArticleen_US
dspace.entity.typePublication
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