Titlebook: River Flow Modelling and Forecasting; D. A. Kraijenhoff,J. R. Moll Book 1986 D. Reidel Publishing Company, Dordrecht, Holland 1986 Snow.de

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Theory of Flood Routing,orm as.where Q(x,t) is flow, A(x,t) is area of flow and r(x,t) is the rate of the lateral inflow per unit length of channel. It is convenient to emphasize the element of forecasting by writing the continuity equation in what is known as the prognostic form i.e. with all time derivatives as unknowns

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Forecasting Meltwater Runoff from Snow-Covered Areas and from Glacier Basins,ing field for research and forecasting. Snow and glaciers imply storage of water. Melting and run-off of meltwater often occur during dry weather periods. Many rivers and streams with their headwaters in mountainous regions show therefore a rather even distribution of flow from year to year and also

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Time-Series Methods and Recursive Estimation in Hydrological Systems Analysis,s chapter, we will see how these kinds of models can be considered within a unified stochastic setting and how it is then possible to treat model calibration as a problem of time-series analysis. In this manner, powerful time-series techniques, such as recursive estimation (Young 1984) can be used i

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River Flow Simulation,models. An adequate quantitative mathematical description of the physical processes involved is a fundamental pre-requisite of such models. This description often comprises a system of ordinary or partial differential equations, together with suitable boundary conditions and other data. Equations fo

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Short Range Flood Forecasting on the River Rhine,s method is based on extending a deterministic hydrological flood-routing model with a stochastic component thereby describing the information contained in the forecast errors of the model. Flood forecasting is emphasized in the application, but forecasting of low flows can be accomplished using the

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Short Range Flood Forecasting on the River Rhine,ed in the forecast errors of the model. Flood forecasting is emphasized in the application, but forecasting of low flows can be accomplished using the method. The rather short forecast lead time used can be increased as demonstrated.

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