Value of updating ensemble streamflow prediction in reservoir operations

Operating Reservoirs in Changing Conditions - Proceedings of the Operations Management 2006 Conference

Volumn 2006, Issue , 2006, Pages 422-431

  Kim, Y O ^a   Eum, H I ^a   Ko, I H ^b  

^a Seoul National University   (South Korea)

^b Korea Water Resources Corporation   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; DYNAMIC PROGRAMMING; MATHEMATICAL MODELS; OPTIMIZATION; RANDOM PROCESSES; STREAM FLOW;

RESERVOIR OPERATIONS; SAMPLING STOCHASTIC DYNAMIC PROGRAMMING; STOCHASTIC OPTIMIZATION MODEL;

RESERVOIRS (WATER);

EID: 33845541411     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1061/40875(212)42     Document Type: Conference Paper

References (6)

1. Day, G. N. (1985). "Extended streamflow forecasting using NWSRFS." Journal of Water Resources Planning and Management, A.SCE, 111(WR2), 147-170.
2. Faber, B. A., and Stedinger, J. R. (2001). "Reservoir optimization using sampling SDP with ensemble streamflow prediction (ESP) forecasts." Journal of Hydrology, ELSEVIER, 249(1-4), 113-133.
3. Georgakakos, A. P., Yao, H., Mullusky, M. G., and Georgakakos, K. P. (1998). "Impacts of climate variability on the operational forecast and management of the upper Des Moines River basin.", Water Resources Research, AGU, 34(4), 799-821.
4. Kelman, J., Stedinger, J. R., Cooper, L. A., Hsu, E., and Yuan, S. Q. (1990). "Sampling stochastic dynamic programming applied to reservoir operation." Water Resources Research, AGU, 26(3), 447-454.
5. Korea Institute of Construction Technology (2001). Water vision 2020, Ministry of Construction and Transportation, Seoul, Korea (in Korean).
6. Wilks, D. S. (1995). Forecast verification: statistical methods in the atmospheric sciences, Academic Press, NY, USA.