Kesserwani, G., Sharifian, M.K. and Shaw, J. orcid.org/0000-0002-0928-3604 (2018) Adaptive multi-scale shallow flow model: a wavelet-based formulation. In: La Loggia, G., Freni, G., Puleo, V. and De Marchis, M., (eds.) HIC 2018: 13th International Conference on Hydroinformatics. HIC 2018: 13th International Conference on Hydroinformatics, 01-06 Jul 2018, Palermo, Italy. EPiC Series in Engineering, 3 . EasyChair , pp. 1040-1031.
Abstract
This work outlines the use of wavelet bases to re-formulate a finite volume (FV) local solution of the shallow water equations (SWEs), so as to achieve mesh adaptivity via local compression and truncation of the numerical solution’s details across successive resolution scales with reference to a single threshold error set by the user. The wavelet bases naturally lead to a scalable FV formulation and how they can readily be exploited to achieve adaptive mesh-resolution selection: up-scaling and/or down- scaling by means of the local solutions’ data (i.e. both flow variables and terrain). Our results show a notable promise in using wavelets as a basis for future flood models to achieve conservative and more autonomous simulation at a wide range of length-scales.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2018 The Authors. |
Keywords: | Multiresolution modelling; practical insights; shallow water equations; wavelet compression |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Civil and Structural Engineering (Sheffield) |
Funding Information: | Funder Grant number ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC) EP/R007349/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 08 Mar 2019 15:47 |
Last Modified: | 08 Mar 2019 15:47 |
Published Version: | https://doi.org/10.29007/vm3q |
Status: | Published |
Publisher: | EasyChair |
Series Name: | EPiC Series in Engineering |
Refereed: | Yes |
Identification Number: | 10.29007/vm3q |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:143459 |