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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 Orcid Logo, Zhixian Cao, Alistair G.L. Borthwick Orcid Logo

Applied Mathematical Modelling, Volume: 106, Pages: 259 - 275

Swansea University Author: Ji Li Orcid Logo

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DOI (Published version): 10.1016/j.apm.2022.01.032

Published in: Applied Mathematical Modelling
ISSN: 0307-904X
Published: Elsevier BV 2022
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URI: https://cronfa.swan.ac.uk/Record/cronfa59631
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first_indexed 2022-03-16T08:33:49Z
last_indexed 2022-05-06T03:32:40Z
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spelling 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
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id 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
document_store_str 1
active_str 0
published_date 2022-06-01T04:17:05Z
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score 11.013619

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