Real-Time Reservoir Operation for Flood Management Considering Ensemble Streamflow Prediction and Its Uncertainty

Author:

Nohara Daisuke,Nishioka Yuya,Hori Tomoharu,Sato Yoshinobu

Publisher

Springer Singapore

Reference9 articles.

1. IPCC. (2013). Climate Change 2013: The Physical Science Basis (1535 pp). Cambridge, United Kingdom and New York, NY, USA: Cambridge University Press (Stocker, T. F., D. Qin, G. -K. Plattner, M. Tignor, S. K. Allen, J. Boschung, A. Nauels, Y. Xia, V. Bex & P.M. Midgley (eds.) Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change).

2. Faber, B. A., & Stedinger, J. (2001). Reservoir optimization using sampling SDP with ensemble streamflow prediction (ESP) forecasts. Journal of Hydrology, 249, 113–133.

3. Kim, Y. O., Eum, H. I., Lee, E. G., & Ko, I. H. (2007). Optimizing operational policies of a Korean multireservoir system using sampling stochastic dynamic programming with ensemble streamflow prediction. Journal of Water Resources Planning and Management, 133(1), 4–14.

4. Nohara, D., Tsuboi, A., & Hori, T. (2009). Long-term reservoir operation optimized by DP models with one-month ensemble forecast of precipitation. IAHS Publications, 331, 284–295.

5. Alemu, E. T., Palmer, R. N., Polebitski, A., & Meaker, B. (2011). Decision support system for optimizing reservoir operation using ensemble streamflow predictions. Journal of Water Resources Planning and Management, 137(1), 72–82.

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