期刊
INTERNATIONAL JOURNAL OF WATER RESOURCES DEVELOPMENT
卷 37, 期 2, 页码 208-233出版社
ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
DOI: 10.1080/07900627.2020.1745159
关键词
Seasonal climate forecast; reservoir operation; optimization; dynamic programming; hydropower; Ethiopia
资金
- National Science Foundation [1545874]
- Office Of Internatl Science &Engineering
- Office Of The Director [1545874] Funding Source: National Science Foundation
The combination of predictive hydroclimate information with reservoir system models has the potential to mitigate climate variability risks. By coupling seasonal, statistical streamflow forecasts with reservoir models, it is possible to increase energy production, agriculture allocations, and net profit, showcasing a novel approach for better water resource management at the local scale.
Predictive hydroclimate information, coupled with reservoir system models, offers the potential to mitigate climate variability risks. Prior methodologies rely on sub-seasonal, dynamic/synthetic forecasts at short timescales, which challenge application in practice. Here, coupling a local-scale seasonal, statistical streamflow forecast with a reservoir model addresses this gap, to explore hydropower and agricultural production benefits under various operational strategies. Forecast-informed optimization of reservoir releases increases energy production (6-14%), agriculture allocations (54-68%), and net profit. Application to Ethiopia showcases a novel seasonal-scale statistical forecast coupled reservoir model that translates hydroclimatic predictions into actionable information for better management at the local scale.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据