The flood produced by short duration heavy rainfall events in cities will still exist after raining
and continues to cause harm and impact. To accurately predict the depth and duration of the …

Urban flood inundation is worsening as the number of short-duration rainstorms increases,
and it is difficult to accurately predict urban flood inundation over a long lead time; however …

Global climate change and sea level rise have led to increased losses from flooding.
Accurate prediction of floods is essential to mitigating flood losses in coastal cities …

Climate change has led to increasing frequency of sudden extreme heavy rainfall events in
cities, resulting in great disaster losses. Therefore, in emergency management, we need to …

Since flooding in urban areas is rarely observed using sensors, most researchers use
artificial intelligence (AI) models to predict flood hazards based on model simulation data …

An accurate and rapid urban flood prediction model is essential to support decision-making
for flood management. This study developed a deep-learning-technique-based data-driven …

Flood forecasting is one of the most significant tools for reducing flood risk and avoiding the
loss of life To solve the problem of low resolution and the short lead time of the traditional …

Sudden floods in the medium and small watershed by a sudden rainstorm and locally heavy
rainfall often lead to flash floods. Therefore, it is of practical and theoretical significance to …

Rapid prediction of urban flood is essential for sustainable city and society development.
The data-driven deep learning model is commonly adopted for flood prediction, but it rarely …

Fast and accurate prediction of urban flood is of considerable practical importance to
mitigate the effects of frequent flood disasters in advance. To improve urban flood prediction …