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ID 68703
フルテキストURL
fulltext.pdf 1.53 MB
著者
Sam, Truong Thao Graduate School of Environmental and Life Science, Okayama University
Somura, Hiroaki Graduate School of Environmental and Life Science, Okayama University
Moroizumi, Toshitsugu Graduate School of Environmental and Life Science, Okayama University Kaken ID publons researchmap
抄録
The primary cause of conflicts over water allocation is growing demand and limited supply, which has become an increasingly serious issue in many watersheds. To alleviate water disputes, effective management strategies can be employed, particularly in the context of intensifying agricultural production and unpredictable changes in weather. In this study, two models, SWAT and WEAP, and the modified surface water supply index (MSWSI) were utilized to evaluate water allocation in the Srepok River Watershed (SRW), considering the prioritization of demand and various irrigation methods, during both wet and dry years. The crop irrigation was chosen to be the main focus in relation to the unmet water demand (UWD). The results indicated that coffee was the primary cause of UWD in the middle of the watershed during the second half of the dry season, and annual crops (AC) were the secondary cause. This research further elucidated that while prioritizing demand had an insignificant impact, transitioning from hose irrigation to sprinkler irrigation could be remarkably effective in mitigating the issues of UWD in coffee crops during both wet and dry years.
キーワード
hydrological model
drought
coffee irrigation
water-saving technique
water allocation
発行日
2025
出版物タイトル
Hydrological Research Letters
19巻
2号
出版者
Japan Society of Hydrology and Water Resources
開始ページ
94
終了ページ
100
ISSN
1882-3416
資料タイプ
学術雑誌論文
言語
英語
OAI-PMH Set
岡山大学
著作権者
© The Author(s) 2025.
論文のバージョン
publisher
DOI
Web of Science KeyUT
関連URL
isVersionOf https://doi.org/10.3178/hrl.24-00029
ライセンス
http://creativecommons.org/licenses/by/4.0/
助成機関名
Ministry of Education, Culture, Sports, Science and Technology
Japan Society for the Promotion of Science
助成番号
22KK0093