Data Assimilation of River Networks Using Extended Kalman Filter

Yi Fan Chen; Jing Lin Qian

doi:10.4028/www.scientific.net/AMM.580-583.1923

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 580-583Data Assimilation of River Networks Using Extended...

Data Assimilation of River Networks Using Extended Kalman Filter

Abstract:

In order to improve the accuracy of river network hydraulic model, extended kalman filter was used for real-time updating model states. In a simulation example of a river network composed of 14 channels, it systematically analyzed the effects of process and measurement noises on state correction. The results show that the extended kalman filter is able to effectively carry out data assimilation of non-linear river network system, and big process noise in combination with relatively small measurement noise is recommended for state correction.

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Periodical:

Applied Mechanics and Materials (Volumes 580-583)

Pages:

1923-1927

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.580-583.1923

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Online since:

July 2014

Authors:

Yi Fan Chen*, Jing Lin Qian

Keywords:

Data Assimilation, Extended Kalman Flter (EKF), River Network

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* - Corresponding Author

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