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Optimizing Operational Policies of a Korean Multireservoir System Using Sampling Stochastic Dynamic Programming with Ensemble Streamflow Prediction
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Young-Oh | - |
dc.contributor.author | Eum, Hyung-Il | - |
dc.contributor.author | Lee, Eun-Goo | - |
dc.contributor.author | Ko, Ick Hwan | - |
dc.date.accessioned | 2010-06-21T23:20:47Z | - |
dc.date.available | 2010-06-21T23:20:47Z | - |
dc.date.issued | 2007 | - |
dc.identifier.citation | Journal of Water Resources Planning and Management, 133(1), 4-14 | en |
dc.identifier.issn | 0733-9496 | - |
dc.identifier.uri | https://hdl.handle.net/10371/67725 | - |
dc.description.abstract | This study presents state-of-the-art optimization techniques for enhancing reservoir operations which use sampling stochastic
dynamic programming SSDP with ensemble streamflow prediction ESP . SSDP used with historical inflow scenarios SSDP/Hist derives an off-line optimal operating policy through a backward-moving solution procedure. In contrast, SSDP used with monthly forecasts of ESP SSSDP/ESP reoptimizes the off-line policy. These stochastic models are used to derive a monthly joint operating policy during the drawdown period of the Geum River multireservoir system in Korea. A cross-validation test of 1,900 simulation runs demonstrates that: 1 proposed stochastic models that explicitly include inflow uncertainty are superior to those that do not; 2 updating policy with ESP forecasts is appropriate in this reservoir system; 3 the lower dam of the Geum River multireservoir system should maintain elevation of 66.5 m during the beginning of the drawdown period to avoid significant increase in the downstream water shortages; and 4 forecasting accuracy may result in considerable effects on joint reservoir operations. | en |
dc.language.iso | en | en |
dc.publisher | American Society of Civil Engineers | en |
dc.subject | Optimization | en |
dc.subject | Forecasting | en |
dc.subject | Reservoir operation | en |
dc.subject | Korea | en |
dc.subject | Streamflow | en |
dc.subject | Predictions | en |
dc.title | Optimizing Operational Policies of a Korean Multireservoir System Using Sampling Stochastic Dynamic Programming with Ensemble Streamflow Prediction | en |
dc.type | Article | en |
dc.contributor.AlternativeAuthor | 김영오 | - |
dc.contributor.AlternativeAuthor | 엄형일 | - |
dc.contributor.AlternativeAuthor | 이은구 | - |
dc.contributor.AlternativeAuthor | 고익환 | - |
dc.identifier.doi | 10.1061/(ASCE)0733-9496(2007)133:1(4) | - |
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