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Designing Reservoirs with Short Streamflow Records
Author(s) -
Tschannerl Gerhard
Publication year - 1971
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1029/wr007i004p00827
Subject(s) - streamflow , relation (database) , imperfect , sample (material) , computation , sampling (signal processing) , function (biology) , basis (linear algebra) , statistics , computer science , population , perfect information , econometrics , mathematics , data mining , algorithm , geography , mathematical economics , cartography , chemistry , sociology , biology , geometry , chromatography , evolutionary biology , computer vision , drainage basin , demography , philosophy , filter (signal processing) , linguistics
A hydraulic structure such as a reservoir built on the basis of sample information is, in general, overdesigned or underdesigned in relation to perfect information. The resulting loss in net benefits is called the expected opportunity loss (EOL) due to imperfect information and is a function of sample size. Computation of the EOL requires perfect information. The EOL can, however, be found in one of two ways. One procedure estimates the EOL by sampling from a synthetic sequence of a stochastic input, such as streamflow, generated on the basis of estimates of the population moments. The other procedure involves a design decision within the framework of subjectivist (or Bayesian) statistics.