Research Article
Sep 1972
Stochastic Five Daily Stream Flow Model
Publication: Journal of the Hydraulics Division
Volume 98, Issue 9
Abstract
A stochastic data generating technique is applied to extend the records of British rivers. Because of the shortcomings in daily flow models, a five daily time unit is adopted. Analysis of the autocorrelations suggest that an autoregressive process is more representative of the data than other short memory types. This is confirmed by tests on the synthesized data. For the series examined, a fourth order process is adequate. The probability distributions of the independent residuals are confined to a limited range but different functions are necessary to fit individual series. The Pearson system and Johnson Type curves are examined and best fits are obtained by the Pearson Type III and Type VI and the lognormal distributions. The correlation structure is preserved in the generated data and other significant characteristics are similar to those in historical records.
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Published In
Journal of the Hydraulics Division
Volume 98 • Issue 9 • September 1972
Pages: 1469 - 1485
Copyright
© 1972 American Society of Civil Engineers.
History
Published in print: Sep 1972
Published online: Feb 3, 2021
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Authors
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Nath T. Kottegoda
Lect., Civ. Engrg. Dept., Univ. of Birmingham, Birmingham, England
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Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.