Toward street‐level nowcasting of flash floods impacts based on HPC hydrodynamic modeling at the watershed scale and high‐resolution weather radar data
In our era, the rapid increase of parallel programming coupled with high‐performance
computing (HPC) facilities allows for the use of two‐dimensional shallow water equation (2D …
computing (HPC) facilities allows for the use of two‐dimensional shallow water equation (2D …
Climate change and urban sprawl: Unveiling the escalating flood risks in river deltas with a deep dive into the GBM river delta
River deltas, such as the Ganges-Brahmaputra-Meghna (GBM) delta, are highly vulnerable
to flooding, exacerbated by intense human activities and rapid urban growth. This study …
to flooding, exacerbated by intense human activities and rapid urban growth. This study …
Advancing rapid urban flood prediction: a spatiotemporal deep learning approach with uneven rainfall and attention mechanism
Y Shao, J Chen, T Zhang, T Yu… - Journal of Hydroinformatics, 2024 - iwaponline.com
Urban floods pose a significant threat to human communities, making its prediction essential
for comprehensive flood risk assessment and the formulation of effective resource allocation …
for comprehensive flood risk assessment and the formulation of effective resource allocation …
Sampling‐Based Methods for Uncertainty Propagation in Flood Modeling Under Multiple Uncertain Inputs: Finding Out the Most Efficient Choice
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] Evaluation of 2D hydrodynamic-based rainfall/runoff modelling for soil erosion assessment at a seasonal scale
Badlands are often the source of a significant fraction of the sediment reaching the river
network due to the exposure of the bare soil to the impact of rain drops and to the bed shear …
network due to the exposure of the bare soil to the impact of rain drops and to the bed shear …
A novel multi-model ensemble framework for fluvial flood inundation map**
Floods pose a significant threat to communities and infrastructure, necessitating timely
predictions for effective disaster management. Conventional hydrodynamic models often …
predictions for effective disaster management. Conventional hydrodynamic models often …
[HTML][HTML] Enhancing Flood Risk Management: A Comprehensive Review on Flood Early Warning Systems with Emphasis on Numerical Modeling
D Fernández-Nóvoa, J González-Cao, O García-Feal - Water, 2024 - mdpi.com
During recent decades there has been an increase in extreme flood events and their
intensity in most regions, mainly driven by climate change. Furthermore, these critical events …
intensity in most regions, mainly driven by climate change. Furthermore, these critical events …
Impacts of DEM type and resolution on deep learning-based flood inundation map**
The increasing availability of hydrological and physiographic spatiotemporal data has
boosted machine learning's role in rapid flood map**. Yet, data scarcity, especially high …
boosted machine learning's role in rapid flood map**. Yet, data scarcity, especially high …
A gpu-accelerated and lts-based 2d hydrodynamic model for the simulation of rainfall-runoff processes
Reliable hydrodynamic modeling of rainfall-runoff processes in basins requires simulations
with high resolution (or locally refined) meshes, which leads to a great increase in the …
with high resolution (or locally refined) meshes, which leads to a great increase in the …
[HTML][HTML] Unravelling spatial heterogeneity of inundation pattern domains for 2D analysis of fluvial landscapes and drainage networks
Fluvial landscape analysis is an essential part of geomorphology, hydrology, ecology, and
cartography. It is traditionally focused on the transition between hillslopes and channel …
cartography. It is traditionally focused on the transition between hillslopes and channel …