Quantifying multiple uncertainties in modelling shallow water-sediment flows: a stochastic Galerkin framework with Haar wavelet expansion and an operator-splitting approach

DOI10.1016/j.apm.2022.01.032zbMath1503.76015OpenAlexW4210903582WikidataQ114208708 ScholiaQ114208708MaRDI QIDQ2109449

Ji Li, Alistair G. L. Borthwick, Zhi-Xian Cao

Publication date: 21 December 2022

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2022.01.032

zbMATH Keywords

Haar waveletsstochastic Galerkin methodoperator-splittingshallow water hydro-sediment-morphodynamic modelmultiple joint uncertainties

Mathematics Subject Classification ID

Water waves, gravity waves; dispersion and scattering, nonlinear interaction (76B15) Finite element, Rayleigh-Ritz and Galerkin methods for initial value and initial-boundary value problems involving PDEs (65M60)

Related Items (1)

Accurate coiflet wavelet solution of extended \((2+1)\)-dimensional Kadomtsev-Petviashvili equation using the novel wavelet-homotopy analysis approach

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