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• W2098889437 abstract "Traditionally water resource engineers have employed Rippl's mass curve approach or its automated equivalent sequent peak alogrithm, in conjunction with the historical streamflow sequence to obtain a single estimate of the design capacity of a storage reservoir. More recently stochastic streamflow models have been recommended for use in deriving the probability distribution of the required capacity of a storage reservoir to maintain a prespecified release. The use of stochastic streamflow models in conjunction with the sequent peak algorithm leads to a storage-reliability-yield (S-R-Y) relationship. This study develops approximate but general expressions which describe the over-year S-R-Y relationship when annual streamflows are log normal and follow a first-order autoregressive model. These expressions were developed for three reasons: (1) to provide preliminary design capacity or yield estimates for storage reservoirs governed by over-year storage requirements; (2) to improve our understanding of the S-R-Y relationship; and (3) to facilitate Monte-Carlo experiments which examine the sampling properties of reservoir design capacity and/or yield estimates." @default.
• W2098889437 created "2016-06-24" @default.
• W2098889437 creator A5017578426 @default.
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• W2098889437 date "1987-01-01" @default.
• W2098889437 modified "2023-10-06" @default.
• W2098889437 title "Generalized storage-reliability-yield relationships" @default.
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• W2098889437 doi "https://doi.org/10.1016/0022-1694(87)90184-3" @default.
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