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

doi:10.1016/j.apm.2022.01.032

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

^*Corresponding author for this work

Swansea University
Wuhan University
University of Edinburgh

Research output: Contribution to journal › Article › peer-review

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Original language	English
Pages (from-to)	259-275
Number of pages	0
Journal	Applied Mathematical Modelling
Volume	106
Issue number	0
Early online date	25 Feb 2022
DOIs	https://doi.org/10.1016/j.apm.2022.01.032
Publication status	Published - Jun 2022

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10.1016/j.apm.2022.01.032

SHSM mdoel with multiple uncertainties main text 20211219Accepted author manuscript, 3.51 MB

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title = "Quantifying multiple uncertainties in modelling shallow water-sediment flows: A stochastic Galerkin framework with Haar wavelet expansion and an operator-splitting approach",

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PY - 2022/6

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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

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