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[HTML][HTML] Assessment of surrogate models for flood inundation: The physics-guided LSG model vs. state-of-the-art machine learning models
Hydrodynamic models can accurately simulate flood inundation but are limited by their high
computational demand that scales non-linearly with model complexity, resolution, and …
computational demand that scales non-linearly with model complexity, resolution, and …
Global sensitivity analysis in hydrodynamic modeling and flood inundation map**
Flood simulation with two-dimensional hydrodynamic models is subject to different sources
of uncertainties in model configuration, boundary conditions, and model parametrization …
of uncertainties in model configuration, boundary conditions, and model parametrization …
[HTML][HTML] Performances of the new HEC-RAS version 5 for 2-D hydrodynamic-based rainfall-runoff simulations at basin scale: Comparison with a state-of-the art model
The Hydrologic Engineering Centre-River Analysis System (HEC-RAS), developed by the
US Army Corps of Engineers, is one of the most known, analyzed and used model for flood …
US Army Corps of Engineers, is one of the most known, analyzed and used model for flood …
Is local flood hazard assessment in urban areas significantly influenced by the physical complexity of the hydrodynamic inundation model?
Flood hazard in urban areas is usually assessed by the estimations of parameters like flood
extent, water depths, flow velocities and other related quantities. These hydrodynamic …
extent, water depths, flow velocities and other related quantities. These hydrodynamic …
Development of a fast and accurate hybrid model for floodplain inundation simulations
High computational cost is often the most limiting factor when running high‐resolution
hydrodynamic models to simulate spatial‐temporal flood inundation behavior. To address …
hydrodynamic models to simulate spatial‐temporal flood inundation behavior. To address …
[HTML][HTML] Reconstruction of the 1374 Rhine river flood event around Cologne region using 1D-2D coupled hydraulic modelling approach
Reconstructions of the most severe historic flood events contribute to improved
quantification of design discharges corresponding to large return periods. Reducing the …
quantification of design discharges corresponding to large return periods. Reducing the …
A hybrid framework for rapidly locating transition zones: A comparison of event‐and response‐based return water levels in the Suwannee River FL
Flood risk assessments commonly use event‐based approaches to reduce the number of
scenarios required to be run through computationally intensive physical process models …
scenarios required to be run through computationally intensive physical process models …
Historic flood reconstruction with the use of an artificial neural network
The uncertainty in flood frequency relations can be decreased by adding reconstructed
historic flood events to the data set of measured annual maximum discharges. This study …
historic flood events to the data set of measured annual maximum discharges. This study …
[HTML][HTML] An adaptive multi-fidelity optimization framework based on co-Kriging surrogate models and stochastic sampling with application to coastal aquifer …
Surrogate modelling has been used successfully to alleviate the computational burden that
results from high-fidelity numerical models of seawater intrusion in simulation-optimization …
results from high-fidelity numerical models of seawater intrusion in simulation-optimization …
Consequences of dike breaches and dike overflow in a bifurcating river system
Currently, the effect of dike breaches on downstream discharge partitioning and flood risk is
not addressed in flood safety assessments. In a bifurcating river system, a dike breach may …
not addressed in flood safety assessments. In a bifurcating river system, a dike breach may …