River Flow Forecasting Model For Sturgeon River
Publication: Journal of Hydraulic Engineering
Volume 111, Issue 2
Abstract
A forecasting technique for predicting river flow resulting from combined snowmelt and rainfall is presented The technique incorporates Kalman filtering techniques to reflect Uncertainty in the measured data as well as errors in the system model. A primary emphasis is given to how the forecasting algorithm is applied to a case study area, thus demonstrating the utility of the technique when applied to real‐world data. Methodologies are presented which can be used to calculate the covariance matrices associated with the Kalman filter algorithm utilized by the forecasting procedure.
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Information & Authors
Information
Published In
Journal of Hydraulic Engineering
Volume 111 • Issue 2 • February 1985
Pages: 316 - 333
Copyright
Copyright © 1985 ASCE.
History
Published online: Feb 1, 1985
Published in print: Feb 1985
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