Identification of a General Linear Model for Reservoir Inflows Forecasting

by J. Ribeiro,
J. Rousselle,
J. D. Salas,
H. Ta Trung,



Document Type: Proceeding Paper

Part of: North American Water and Environment Congress & Destructive Water

Abstract:

General linear stochastic models represent a valuable alternative to conceptual models in order to describe runoff generating mechanisms in a drainage basin. In regions such as Quebec, Canada, the flexibility of general linear stochastic models is useful for modeling the complex relationships between rainfall, snowmelt and runoff during the spring season. We describe here a procedure that was used for identifying a set of general linear models in order to make short term forecast of inflows into a reservoir located in northern Quebec.

Subject Headings: Drainage basins | Stochastic processes | Runoff | Reservoirs | Inflow | Forecasting | Snowmelt | Canada | Quebec

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