Abstract
The free-surface flows, such as flows in rivers, lakes, and tides, play an important role in hydraulic engineering and environmental monitoring. However, due to their complex and changeable characters, the precise evolution procedure is quite difficult to reconstruct. In this study, the authors propose a novel framework to reconstruct the free-surface flow modelled by the shallow water equations by assimilating the images sequences. In particular, the ensemble Kalman filter framework is employed to implement the assimilation process. The efficiency of the proposed strategy has been verified through numerical simulations in which the accurate flow field in different situations could be obtained within limited assimilation steps.
Original language | English |
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Pages (from-to) | 20-27 |
Number of pages | 8 |
Journal | IET Cyber-systems and Robotics |
Volume | 1 |
Issue number | 1 |
DOIs | |
Publication status | Published - Jun 2019 |
Keywords
- accurate flow field
- assimilation process
- assimilation steps
- changeable characters
- complex characters
- data assimilation
- ensemble Kalman filter framework
- environmental monitoring
- flow flux
- free-surface flow
- hydraulic engineering
- image sequence assimilation
- image sequences
- images sequences
- Kalman filters
- numerical analysis
- partial differential equations
- precise evolution procedure
- shallow water equations
- visual inference
ASJC Scopus subject areas
- Information Systems
- Human-Computer Interaction
- Hardware and Architecture
- Computer Networks and Communications
- Computational Theory and Mathematics
- Artificial Intelligence