Flood prediction using machine learning models: Literature review
Floods are among the most destructive natural disasters, which are highly complex to model.
The research on the advancement of flood prediction models contributed to risk reduction …
The research on the advancement of flood prediction models contributed to risk reduction …
Flood risk in urban areas: Modelling, management and adaptation to climate change. A review
The modelling and management of flood risk in urban areas are increasingly recognized as
global challenges. The complexity of these issues is a consequence of the existence of …
global challenges. The complexity of these issues is a consequence of the existence of …
[HTML][HTML] Analysis of two sources of variability of basin outflow hydrographs computed with the 2D shallow water model Iber: Digital Terrain Model and unstructured …
G García-Alén, J González-Cao, D Fernández-Nóvoa… - Journal of …, 2022 - Elsevier
Modelling hydrological processes with fully distributed models based on the shallow water
equations implies a high computational cost, which often limits the resolution of the …
equations implies a high computational cost, which often limits the resolution of the …
A 2D-SWEs framework for efficient catchment-scale simulations: Hydrodynamic scaling properties of river networks and implications for non-uniform grids generation
The application of two-dimensional shallow-water equations models (2D-SWEs) for the
description of hydrodynamic-based surface runoff computations is becoming a reference …
description of hydrodynamic-based surface runoff computations is becoming a reference …