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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

2022Applied Mathematical Modelling14 citationsDOIOpen Access PDF

Topics & Concepts

Uncertainty quantificationProbabilistic logicWaveletShallow water equationsFlow (mathematics)Nonlinear systemComputer scienceStochastic modellingMathematical optimizationApplied mathematicsMathematicsMathematical analysisGeometryStatisticsPhysicsMachine learningArtificial intelligenceQuantum mechanicsLandslides and related hazardsGroundwater flow and contamination studiesSoil and Unsaturated Flow
Quantifying multiple uncertainties in modelling shallow water-sediment flows: A stochastic Galerkin framework with Haar wavelet expansion and an operator-splitting approach | Litcius