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Quantifying multiple uncertainties in modelling shallow water-sediment flows: A stochastic Galerkin framework with Haar wavelet expansion and an operator-splitting approach
Ji Li 
,
Zhixian Cao,
Alistair G.L. Borthwick
,
Zhixian Cao,
Alistair G.L. Borthwick
Applied Mathematical Modelling, Volume: 106, Pages: 259 - 275
Swansea University Author:
Ji Li
DOI (Published version): 10.1016/j.apm.2022.01.032
Abstract
Quantifying multiple uncertainties in modelling shallow water-sediment flows: A stochastic Galerkin framework with Haar wavelet expansion and an operator-splitting approach
| Published in: | Applied Mathematical Modelling |
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| ISSN: | 0307-904X |
| Published: |
Elsevier BV
2022
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa59631 |
| Tags: |
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| Keywords: |
Multiple joint uncertainties; Shallow water hydro-sediment-morphodynamic model; Haar wavelets; Operator-splitting; Stochastic Galerkin method |
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| College: |
Faculty of Science and Engineering |
| Start Page: |
259 |
| End Page: |
275 |