Research Article
Jan 1968
Stochastic Analysis of Daily River Flow
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VIEW THE REPLYPublication: Journal of the Hydraulics Division
Volume 94, Issue 1
Abstract
Optimum water resources design may be achieved using data generation techniques based on models statistically derived from historical records of a hydrologic variable. However, certain statistical techniques of time series analysis are restricted to series possessing the time-invariance property which hydrologic data might not possess. The analysis of river flow records in the light of this limitation is presented. To obtain a mathematical representation of daily streamflow, a trend-free model made up of an oscillatory component and an autoregressive process is postulated to apply to the records of five rivers. The oscillatory component is detected and isolated using spectral and fourier analyses, and Markov schemes are fitted to the standardized residual series. The adequacy of the models fitted is examined through a comparison of the theoretical variance with the computed variance resulting from the application of the model. The importance of the underlying series, which is the sequence generated in Monte Carlo techniques, is discussed.
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Published In
Journal of the Hydraulics Division
Volume 94 • Issue 1 • January 1968
Pages: 43 - 58
Copyright
© 1968 American Society of Civil Engineers.
History
Published in print: Jan 1968
Published online: Feb 3, 2021
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Authors
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Rafael G. Quimpo, A.M.ASCE
Asst. Prof. of Civ. Engrg., Univ. of Pittsburgh, Pittsburgh, Pa
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ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.
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.
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.