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Prediction of paddy irrigation requirements by using statistical downscaling and cropwat models: A case study from the Kerian Irrigation Scheme in Malaysia

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dc.citedby5
dc.contributor.authorHamidon N.en_US
dc.contributor.authorHarun S.en_US
dc.contributor.authorMalek M.A.en_US
dc.contributor.authorIsmail T.en_US
dc.contributor.authorAlias N.en_US
dc.contributor.authorid55508370700en_US
dc.contributor.authorid15724724300en_US
dc.contributor.authorid55636320055en_US
dc.contributor.authorid56306337800en_US
dc.contributor.authorid56015243300en_US
dc.date.accessioned2023-05-29T05:59:58Z
dc.date.available2023-05-29T05:59:58Z
dc.date.issued2015
dc.description.abstractWith an average rainfall of 2500mm per year, Malaysia has abundant water resources but climate change coupled with drought, urbanisation and pollution sometimes causes water stress. Global warming has changed the local climate, threatening agricultural activities with particular impact on paddy production systems. To ensure availability of sufficient irrigation water for growing crops, there is a need to estimate future irrigation water requirements in the face of the complex dynamic resulting from global warming. The current study was therefore carried out to estimate paddy irrigation water requirements based on future climate trends by using SDSM and CROPWAT Models at the Kerian Irrigation Scheme, Perak, Malaysia. The application of the SDSM model revealed that both temperature and rainfall will increase in the future. Meanwhile the CROPWAT model predicted that the annual irrigation requirement will slightly decrease for period between 2010-2069 and increase for years 2070-2099 even though crop evapotranspiration (ETcrop) is predicted to increase in future for rise in temperature for year 2010 to 2099. This integration of SDSM and CROPWAT models produced better simulations of crop water requirement and irrigation requirement. Therefore, it can assist the reservoir�s operating management team in giving effective and proficient response to climate changes in the future. � 2015 Penerbit UTM Press. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.11113/jt.v76.4038
dc.identifier.epage288
dc.identifier.issue1
dc.identifier.scopus2-s2.0-84940669467
dc.identifier.spage281
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84940669467&doi=10.11113%2fjt.v76.4038&partnerID=40&md5=87a103bb45c506a7ba6d7a5021e354b1
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22277
dc.identifier.volume76
dc.publisherPenerbit UTM Pressen_US
dc.sourceScopus
dc.sourcetitleJurnal Teknologi
dc.titlePrediction of paddy irrigation requirements by using statistical downscaling and cropwat models: A case study from the Kerian Irrigation Scheme in Malaysiaen_US
dc.typeArticleen_US
dspace.entity.typePublication
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