The Proceedings of Mechanical Engineering Congress, Japan
Online ISSN : 2424-2667
ISSN-L : 2424-2667
2023
Session ID : S051-12
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Tidal current estimation analysis for Tokyo bay model using the extended Kalman filter FEM
*Takahiko KURAHASHIYudai SUGIYAMA
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Abstract

In this study, we present the application of the extended Kalman filter FEM for tidal current estimation analysis in Tokyo bay. As for the governing equation, the non-linear shallow water equation introduced, and the Galerkin and the selective lumping methods are applied to discretize the governing equation in space and time. The observed water elevation are employed in the tidal current estimation analysis, and we examine about the effect of the introduction of the observed water elevation in tidal current estimation analysis.

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© 2023 The Japan Society of Mechanical Engineers
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