Daily Streamflow Simulation Using Recession Characteristics
Publication: Journal of Hydrologic Engineering
Volume 5, Issue 1
Abstract
Time series of daily streamflows are studied with particular emphasis on the behavior of recessions. Long-term and periodic characteristics are modeled through spectral analysis. Gamma autoregressive models are used to simulate time intervals D between consecutive low flows and the conditional duration d of recessions. A similar model is also used for generating the magnitudes of low flows, conditional on D. A nonnormal ARIMA process is adopted for simulating a recession backward in time over a time interval d commencing with the associated low flow. Transformation to stationarity of the recession process is by means of a difference-ratio, which is the difference between the current and antecedent streamflows divided by their average. The rising limb of the hydrograph is simulated using a ranked uniform random number generator. Application is made to four river basins ranging in size from the Po at Pontelagoscuro (70,090 km2) in northern Italy to the Arzino (123 km2) in northeast Italy. Hydrograph characteristics and the distributions of average, low, and peak flows are maintained.
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Information & Authors
Information
Published In
Journal of Hydrologic Engineering
Volume 5 • Issue 1 • January 2000
Pages: 17 - 24
History
Received: Sep 18, 1997
Published online: Jan 1, 2000
Published in print: Jan 2000
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