Sampling‐Based Methods for Uncertainty Propagation in Flood Modeling Under Multiple Uncertain Inputs: Finding Out the Most Efficient Choice
M Hajihassanpour, G Kesserwani… - Water Resources …, 2023 - Wiley Online Library
In probabilistic flood modeling, uncertainty manifests in frequency of occurrence, or
histograms, for quantities of interest, including the Flood Extent and hazard rating (HR) …
histograms, for quantities of interest, including the Flood Extent and hazard rating (HR) …
[HTML][HTML] (Multi) wavelet-based Godunov-type simulators of flood inundation: Static versus dynamic adaptivity
G Kesserwani, MK Sharifian - Advances in Water Resources, 2023 - Elsevier
Real-world flood simulators often use first-order finite volume (FV1) solvers of the shallow
water equations with efficiency enhancements exploiting parallelisation on Graphical …
water equations with efficiency enhancements exploiting parallelisation on Graphical …
Quantifying multiple uncertainties in modelling shallow water-sediment flows: A stochastic Galerkin framework with Haar wavelet expansion and an operator-splitting …
J Li, Z Cao, AGL Borthwick - Applied Mathematical Modelling, 2022 - Elsevier
The interactive processes of shallow water flow, sediment transport, and morphological
evolution constitute a hierarchy of multi-physical problems of significant interests in a …
evolution constitute a hierarchy of multi-physical problems of significant interests in a …
A nonintrusive reduced-order model for uncertainty quantification in numerical solution of one-dimensional free-surface water flows over stochastic beds
Free-surface water flows over stochastic beds are complex due to the uncertainties in
topography profiles being highly heterogeneous and imprecisely measured. In this study …
topography profiles being highly heterogeneous and imprecisely measured. In this study …
[HTML][HTML] Dynamic estimates of extreme-case CO2 storage capacity for basin-scale heterogeneous systems under geological uncertainty
Geological CO 2 storage is expected to grow dramatically in the coming decades to meet
global climate targets. Assessment of worldwide storage resources using static methods …
global climate targets. Assessment of worldwide storage resources using static methods …
Cross-mode stabilized stochastic shallow water systems using stochastic finite element methods
The development of surrogate models to study uncertainties in hydrologic systems requires
significant effort in the development of sampling strategies and forward model simulations …
significant effort in the development of sampling strategies and forward model simulations …
[PDF][PDF] Innovations towards the next generation of shallow flow models
Many types of environmental and geophysical flow occur on a horizontal scale that is much
larger than their vertical scale. Examples include river flows, overland flows, and granular …
larger than their vertical scale. Examples include river flows, overland flows, and granular …
What Is the Most Efficient Sampling-Based Uncertainty Propagation Method in Flood Modelling?
Modelling uncertainty propagation in flood modelling manifests in frequency of occurrence,
or histograms, for quantities of interest, including the flood extent and hazard rating. Such …
or histograms, for quantities of interest, including the flood extent and hazard rating. Such …
[PDF][PDF] Cross-mode Stabilized Stochastic Shallow Water Systems Using Stochastic Finite Element Methods
C Chena, C Dawsona, E Valsetha - arXiv preprint arXiv:2205.11396, 2022 - academia.edu
The development of surrogate models to study uncertainties in hydrologic systems requires
significant effort in the development of sampling strategies and forward model simulations …
significant effort in the development of sampling strategies and forward model simulations …