Optimal Drought Management Using Sampling Stochastic Dynamic Programming with a Hedging Rule

Journal of Water Resources Planning and Management

Volumn 137, Issue 1, 2010, Pages 113-122

  Eum, Hyung Il ^a   Kim, Young Oh ^b   Palmer, Richard N ^c  

^a UNIVERSITÉ DU QUÉBEC À MONTRÉAL   (Canada)

^b Seoul National University   (South Korea)

^c University of Massachusetts   (United States)

Author keywords

Droughts; Dynamic programming; Korea; Reservoir operation

Indexed keywords

CROSS VALIDATION; CUMULATIVE RAINFALL; DROUGHT INDICES; DROUGHT MANAGEMENT; FORECAST UNCERTAINTY; HEDGING RULES; KOREA; OPERATING POLICIES; RESERVOIR OPERATION; RESERVOIR STORAGE; RIVER BASINS; SIMULATION RESULT; STOCHASTIC DYNAMIC PROGRAMMING; STOCHASTIC DYNAMIC PROGRAMMING MODEL; SUPPLY RELIABILITY; VALUE FUNCTIONS; WATER RELEASE; WATER SHORTAGES;

DROUGHT; OPTIMIZATION; RESERVOIRS (WATER); STOCHASTIC MODELS; STOCHASTIC SYSTEMS; WATER LEVELS; WATER SUPPLY;

DYNAMIC PROGRAMMING;

DROUGHT; NUMERICAL MODEL; RAINFALL; RESERVOIR; SAMPLING; STOCHASTICITY; STREAMFLOW; WATER SUPPLY;

KUM BASIN; SOUTH KOREA;

GEUM;

EID: 78650275260     PISSN: 07339496     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)WR.1943-5452.0000095     Document Type: Article

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