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Provedor de dados:  AgEcon
País:  United States
Título:  Modelling the management of multiple-use reservoirs: Deterministic or stochastic dynamic programming?
Autores:  Tran, Lap Doc
Schilizzi, Steven
Chalak, Morteza
Kingwell, Ross S.
Data:  2012-06-01
Ano:  2012
Palavras-chave:  Deterministic dynamic proramming
Stochastic dynamic programming
Water management
Irrigation
Fisheries
Multiple-use reservoir
Research Methods/ Statistical Methods
Resource /Energy Economics and Policy
Resumo:  Modelling complex systems such as multiple-use reservoirs can be challenging. A legitimate question for scientists and modellers is how best to model their management under uncertain rainfall. This paper studies whether it is worth using a stochastic model that requires more effort than a much simpler deterministic model. Both models are applied to the management of a multiple-use reservoir in southern Vietnam. Although no single modelling approach is universally superior, this study indicates that the desirable modelling approach is stochastic if reservoir capacity and water use demands have a high enough impact on the optimal timing of reservoir water use.
Tipo:  Presentation
Idioma:  Inglês
Identificador:  http://purl.umn.edu/124463
Relação:  Australian Agricultural and Resource Economics Society>2012 Conference (56th), February 7-10, 2012, Freemantle, Australia
Formato:  20
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