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
L Cea, P Costabile - Hydrology, 2022 - mdpi.com
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 …
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 …
Experimental modelling of urban flooding: A review
We review the 45 available studies of urban flooding based on laboratory experiments. We
distinguish between the studies focusing on the flow in (i) a single street intersection,(ii) …
distinguish between the studies focusing on the flow in (i) a single street intersection,(ii) …
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 …
[HTML][HTML] A review of recent advances in urban flood research
Due to a changing climate and increased urbanization, an escalation of urban flooding
occurrences and its aftereffects are ever more dire. Notably, the frequency of extreme storms …
occurrences and its aftereffects are ever more dire. Notably, the frequency of extreme storms …
A simple and efficient unstructured finite volume scheme for solving the shallow water equations in overland flow applications
This paper presents the decoupled hydrological discretization (DHD) scheme for solving the
shallow water equations in hydrological applications involving surface runoff in rural and …
shallow water equations in hydrological applications involving surface runoff in rural and …
Assessing the effectiveness of nature-based solutions-strengthened urban planning mechanisms in forming flood-resilient cities
Cities have experienced rapid urbanization-induced harsh climatic events, especially
flooding, inevitably resulting in negative and irreversible consequences for urban resilience …
flooding, inevitably resulting in negative and irreversible consequences for urban resilience …
Water level forecasting using deep learning time-series analysis: A case study of red river of the north
The Red River of the North is vulnerable to floods, which have caused significant damage
and economic loss to inhabitants. A better capability in flood-event prediction is essential to …
and economic loss to inhabitants. A better capability in flood-event prediction is essential to …
Is HEC-RAS 2D accurate enough for storm-event hazard assessment? Lessons learnt from a benchmarking study based on rain-on-grid modelling
Abstract Rain-on-Grid (RoG) modelling is an increasingly popular approach within the storm
risk management, in which the hydrological and hydrodynamic flood processes are …
risk management, in which the hydrological and hydrodynamic flood processes are …