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Time-Dependent Stochastic Model of Floods
The proposed model is based on the streamflow partial duration series (PDS). Both the occurrence time and the magnitude of the floods (instantaneous hydrograph peaks) are time-dependent random variables. An estimation method, based on the maximum likelihood concept, is also proposed. The derivation of the law of extremes from the basic model shows the strong influence of the time-dependence assumptions on the extreme values. Application of the model to a 38-yr series of floods on the Melezza River at Camedo, Ticino (Southern Switzerland) shows good agreement between theoretical and observed values.
Time-Dependent Stochastic Model of Floods
The proposed model is based on the streamflow partial duration series (PDS). Both the occurrence time and the magnitude of the floods (instantaneous hydrograph peaks) are time-dependent random variables. An estimation method, based on the maximum likelihood concept, is also proposed. The derivation of the law of extremes from the basic model shows the strong influence of the time-dependence assumptions on the extreme values. Application of the model to a 38-yr series of floods on the Melezza River at Camedo, Ticino (Southern Switzerland) shows good agreement between theoretical and observed values.
Time-Dependent Stochastic Model of Floods
North, Michel (author)
Journal of the Hydraulics Division ; 106 ; 649-665
2021-01-01
171980-01-01 pages
Article (Journal)
Electronic Resource
Unknown
Erratum for “Time-Dependent Stochastic Model of Floods”
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Stochastic Modeling of Extreme Floods
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