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Stochastic analysis of daily river flows
Optimum water resources design may be achieved using data generation techniques based on models statistically derived from historical records of hydrologic variable; analysis of river flow records in light of this limitation is presented; to obtain mathematical representation of daily streamflow, trend-free model made up of oscillatory component and autoregressive process is postulated to apply to records of five rivers; oscillatory component is detected and isolated using spectral and Fourier analyses, and Markov schemes are fitted to standardized residual series; adequacy of models fitted is examined through comparison of theoretical variance with computed variance resulting from application of model.
Stochastic analysis of daily river flows
Optimum water resources design may be achieved using data generation techniques based on models statistically derived from historical records of hydrologic variable; analysis of river flow records in light of this limitation is presented; to obtain mathematical representation of daily streamflow, trend-free model made up of oscillatory component and autoregressive process is postulated to apply to records of five rivers; oscillatory component is detected and isolated using spectral and Fourier analyses, and Markov schemes are fitted to standardized residual series; adequacy of models fitted is examined through comparison of theoretical variance with computed variance resulting from application of model.
Stochastic analysis of daily river flows
ASCE -- Proc (J Hydraulics Div)
Quimpo, R.G. (Autor:in)
1968
15 pages
Aufsatz (Zeitschrift)
Englisch
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