Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2016WR020180 |
Deriving adaptive operating rules of hydropower reservoirs using time-varying parameters generated by the EnKF | |
Feng, Maoyuan1,2; Liu, Pan1,2; Guo, Shenglian1,2; Shi, Liangsheng1; Deng, Chao1,2; Ming, Bo1,2 | |
2017-08-01 | |
发表期刊 | WATER RESOURCES RESEARCH
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ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2017 |
卷号 | 53期号:8 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China |
英文摘要 | Operating rules have been used widely to decide reservoir operations because of their capacity for coping with uncertain inflow. However, stationary operating rules lack adaptability; thus, under changing environmental conditions, they cause inefficient reservoir operation. This paper derives adaptive operating rules based on time-varying parameters generated using the ensemble Kalman filter (EnKF). A deterministic optimization model is established to obtain optimal water releases, which are further taken as observations of the reservoir simulation model. The EnKF is formulated to update the operating rules sequentially, providing a series of time-varying parameters. To identify the index that dominates the variations of the operating rules, three hydrologic factors are selected: the reservoir inflow, ratio of future inflow to current available water, and available water. Finally, adaptive operating rules are derived by fitting the time-varying parameters with the identified dominant hydrologic factor. China's Three Gorges Reservoir was selected as a case study. Results show that (1) the EnKF has the capability of capturing the variations of the operating rules, (2) reservoir inflow is the factor that dominates the variations of the operating rules, and (3) the derived adaptive operating rules are effective in improving hydropower benefits compared with stationary operating rules. The insightful findings of this study could be used to help adapt reservoir operations to mitigate the effects of changing environmental conditions. |
英文关键词 | reservoir operation adaptive operating rules EnKF time-varying parameters |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000411202000030 |
WOS关键词 | ENSEMBLE KALMAN FILTER ; DATA ASSIMILATION ; CLIMATIC-CHANGE ; MANN-KENDALL ; SYSTEM ; UNCERTAINTY ; VARIABILITY ; ALGORITHM ; IMPACTS ; INFLOW |
WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/21302 |
专题 | 资源环境科学 |
作者单位 | 1.Wuhan Univ, State Key Lab Water Resources & Hydropower Engn, Wuhan, Hubei, Peoples R China; 2.Hubei Prov Collaborat Innovat Ctr Water Resources, Wuhan, Hubei, Peoples R China |
推荐引用方式 GB/T 7714 | Feng, Maoyuan,Liu, Pan,Guo, Shenglian,et al. Deriving adaptive operating rules of hydropower reservoirs using time-varying parameters generated by the EnKF[J]. WATER RESOURCES RESEARCH,2017,53(8). |
APA | Feng, Maoyuan,Liu, Pan,Guo, Shenglian,Shi, Liangsheng,Deng, Chao,&Ming, Bo.(2017).Deriving adaptive operating rules of hydropower reservoirs using time-varying parameters generated by the EnKF.WATER RESOURCES RESEARCH,53(8). |
MLA | Feng, Maoyuan,et al."Deriving adaptive operating rules of hydropower reservoirs using time-varying parameters generated by the EnKF".WATER RESOURCES RESEARCH 53.8(2017). |
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