Data Assimilation of Water Elevation in Shallow Water Flow Based on the Extended Kalman Filter FEM Using Measurement Data from Image Analysis

In this paper, we present a data assimilation analysis in a shallow water flow field considering shoreline movement, based on the extended Kalman filter finite element method (extended Kalman filter FEM). It is known that if the combined method of the Kalman filter and the finite element method(FEM)...

Full description

Saved in:
Bibliographic Details
Published in:International journal of computational fluid dynamics 2022-02, Vol.36 (2), p.103-111
Main Authors: Kurahashi, Takahiko, Ikarashi, Kohei, Kenchi, Toshiaki, Eto, Toshihiko
Format: Article
Language:English
Subjects:
Analysis
Dam failure
dam-break problem
Data analysis
Data assimilation
Data collection
Extended Kalman filter
Finite element method
Image analysis
Image processing
Kalman filters
Methods
Shallow water
shallow-water flow
Shorelines
Water flow
Water purification
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this paper, we present a data assimilation analysis in a shallow water flow field considering shoreline movement, based on the extended Kalman filter finite element method (extended Kalman filter FEM). It is known that if the combined method of the Kalman filter and the finite element method(FEM) is employed, a solution can be obtained that is closer to the practical observed value than that based on normal FEM. A dam-break problem is targeted in numerical experiments. In this study, the observed values used in the extended Kalman filter FEM are obtained by image analysis, and we investigate the estimation accuracy by changing the governing equation for shallow water flow.
ISSN:1061-8562
1029-0257
DOI:10.1080/10618562.2022.2027391