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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
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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URI: | https://cronfa.swan.ac.uk/Record/cronfa59631 |
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2022-05-05T15:19:28.5806929 v2 59631 2022-03-16 Quantifying multiple uncertainties in modelling shallow water-sediment flows: A stochastic Galerkin framework with Haar wavelet expansion and an operator-splitting approach 4123c4ddbcd6e77f580974c661461c7c 0000-0003-4328-3197 Ji Li Ji Li true false 2022-03-16 CIVL Journal Article Applied Mathematical Modelling 106 259 275 Elsevier BV 0307-904X Multiple joint uncertainties; Shallow water hydro-sediment-morphodynamic model; Haar wavelets; Operator-splitting; Stochastic Galerkin method 1 6 2022 2022-06-01 10.1016/j.apm.2022.01.032 COLLEGE NANME Civil Engineering COLLEGE CODE CIVL Swansea University 2022-05-05T15:19:28.5806929 2022-03-16T08:32:33.4930014 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering Ji Li 0000-0003-4328-3197 1 Zhixian Cao 2 Alistair G.L. Borthwick 0000-0001-6053-7764 3 59631__22660__2cc6f12a7bce4a13b801779dcf2196f7.pdf SHSM mdoel with multiple uncertainties_accepted.pdf 2022-03-23T16:54:53.5360404 Output 5698435 application/pdf Accepted Manuscript true 2023-02-09T00:00:00.0000000 CC-BY-NC-ND true eng https://creativecommons.org/licenses/by-nc-nd/4.0/ |
title |
Quantifying multiple uncertainties in modelling shallow water-sediment flows: A stochastic Galerkin framework with Haar wavelet expansion and an operator-splitting approach |
spellingShingle |
Quantifying multiple uncertainties in modelling shallow water-sediment flows: A stochastic Galerkin framework with Haar wavelet expansion and an operator-splitting approach Ji Li |
title_short |
Quantifying multiple uncertainties in modelling shallow water-sediment flows: A stochastic Galerkin framework with Haar wavelet expansion and an operator-splitting approach |
title_full |
Quantifying multiple uncertainties in modelling shallow water-sediment flows: A stochastic Galerkin framework with Haar wavelet expansion and an operator-splitting approach |
title_fullStr |
Quantifying multiple uncertainties in modelling shallow water-sediment flows: A stochastic Galerkin framework with Haar wavelet expansion and an operator-splitting approach |
title_full_unstemmed |
Quantifying multiple uncertainties in modelling shallow water-sediment flows: A stochastic Galerkin framework with Haar wavelet expansion and an operator-splitting approach |
title_sort |
Quantifying multiple uncertainties in modelling shallow water-sediment flows: A stochastic Galerkin framework with Haar wavelet expansion and an operator-splitting approach |
author_id_str_mv |
4123c4ddbcd6e77f580974c661461c7c |
author_id_fullname_str_mv |
4123c4ddbcd6e77f580974c661461c7c_***_Ji Li |
author |
Ji Li |
author2 |
Ji Li Zhixian Cao Alistair G.L. Borthwick |
format |
Journal article |
container_title |
Applied Mathematical Modelling |
container_volume |
106 |
container_start_page |
259 |
publishDate |
2022 |
institution |
Swansea University |
issn |
0307-904X |
doi_str_mv |
10.1016/j.apm.2022.01.032 |
publisher |
Elsevier BV |
college_str |
Faculty of Science and Engineering |
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|
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facultyofscienceandengineering |
hierarchy_top_title |
Faculty of Science and Engineering |
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facultyofscienceandengineering |
hierarchy_parent_title |
Faculty of Science and Engineering |
department_str |
School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering |
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1 |
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published_date |
2022-06-01T04:17:05Z |
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1763754142346510336 |
score |
11.021648 |