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Real-time stage and discharge estimation by a stochastic-dynamic flood routing model

✍ Scribed by Dr Michiharu Shiiba; Xavier Laurenson; Yasuto Tachikawa


Publisher
John Wiley and Sons
Year
2000
Tongue
English
Weight
215 KB
Volume
14
Category
Article
ISSN
0885-6087

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✦ Synopsis


A dynamic-stochastic model for ¯ood forecasting based on the Kalman ®ltering theory is described. To reduce the computational time that the Kalman ®lter involves, this model is performed using the reduced rank square root algorithm, which approximates the covariance matrix by a matrix of lower rank. By using the special banded structure of the Jacobian matrix of the discretization of the Saint Venant equations by the four points Preissman scheme, this algorithm is made computationally ecient for a ¯ood routing model. The noise terms are treated as coloured noise processes, with one term for every grid element. An application to estimate the state of a one-channel reach is described.