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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

With 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 prod...

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Main Authors: Hamidon N., Harun S., Malek M.A., Ismail T., Alias N.
Other Authors: 55508370700
Format: Article
Published: Penerbit UTM Press 2023
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spelling my.uniten.dspace-222772023-05-29T13:59:58Z Prediction of paddy irrigation requirements by using statistical downscaling and cropwat models: A case study from the Kerian Irrigation Scheme in Malaysia Hamidon N. Harun S. Malek M.A. Ismail T. Alias N. 55508370700 15724724300 55636320055 56306337800 56015243300 With 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. Final 2023-05-29T05:59:58Z 2023-05-29T05:59:58Z 2015 Article 10.11113/jt.v76.4038 2-s2.0-84940669467 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84940669467&doi=10.11113%2fjt.v76.4038&partnerID=40&md5=87a103bb45c506a7ba6d7a5021e354b1 https://irepository.uniten.edu.my/handle/123456789/22277 76 1 281 288 Penerbit UTM Press Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description With 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.
author2 55508370700
author_facet 55508370700
Hamidon N.
Harun S.
Malek M.A.
Ismail T.
Alias N.
format Article
author Hamidon N.
Harun S.
Malek M.A.
Ismail T.
Alias N.
spellingShingle Hamidon N.
Harun S.
Malek M.A.
Ismail T.
Alias N.
Prediction of paddy irrigation requirements by using statistical downscaling and cropwat models: A case study from the Kerian Irrigation Scheme in Malaysia
author_sort Hamidon N.
title Prediction of paddy irrigation requirements by using statistical downscaling and cropwat models: A case study from the Kerian Irrigation Scheme in Malaysia
title_short Prediction of paddy irrigation requirements by using statistical downscaling and cropwat models: A case study from the Kerian Irrigation Scheme in Malaysia
title_full Prediction of paddy irrigation requirements by using statistical downscaling and cropwat models: A case study from the Kerian Irrigation Scheme in Malaysia
title_fullStr Prediction of paddy irrigation requirements by using statistical downscaling and cropwat models: A case study from the Kerian Irrigation Scheme in Malaysia
title_full_unstemmed Prediction of paddy irrigation requirements by using statistical downscaling and cropwat models: A case study from the Kerian Irrigation Scheme in Malaysia
title_sort prediction of paddy irrigation requirements by using statistical downscaling and cropwat models: a case study from the kerian irrigation scheme in malaysia
publisher Penerbit UTM Press
publishDate 2023
_version_ 1806425630005264384
score 13.211869

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