(Multi)wavelets increase both accuracy and efficiency of standard Godunov-type hydrodynamic models: Robust 2D approaches
- Submitting institution
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The University of Sheffield
- Unit of assessment
- 12 - Engineering
- Output identifier
- 7819
- Type
- D - Journal article
- DOI
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10.1016/j.advwatres.2020.103693
- Title of journal
- Advances in Water Resources
- Article number
- 103693
- First page
- -
- Volume
- 144
- Issue
- -
- ISSN
- 0309-1708
- Open access status
- Compliant
- Month of publication
- July
- Year of publication
- 2020
- URL
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- Supplementary information
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- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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1
- Research group(s)
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- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Multiwavelets, though promising to augment the autonomy, accuracy and efficiency of industry-standard hydrodynamic solvers (doi.org/10.1016/j.advwatres.2019.04.019), lead to trade-offs with two-dimensional (2D) solvers, i.e. unreliable capturing of wet-dry fronts across steep terrain slopes and overhead costs (doi.org/10.1016/j.advwatres.2020.103559). Hence, this paper proposes a radical redesign for multiwavelet-based flood models that adapts multiwavelets theory to fit the setting whereby 2D solvers are efficient and robust for real-world applications. The results are significant in demonstrating how multiwavelet-based 2D solvers can be made operational for 2D flood inundation modelling. The formulations proposed are being integrated in LISFLOOD-FP software, widely used by scientific communities worldwide (https://gmd.copernicus.org/preprints/gmd-2020-340/).
- Author contribution statement
- -
- Non-English
- No
- English abstract
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