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 …

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 …

Urban inundation disasters caused by extreme rainfall events are becoming increasingly
severe. However, the numerical inundation model based on physical process has relatively …

Rapid prediction of urban flooding is an important measure to reduce the risk of flooding and
to protect people's property. In order to meet the needs of emergency flood control, this …

As rainfall intensity varies irregularly, urban floods can cause extreme damage. Furthermore,
they are extremely nonlinear phenomena that are complex to analyze. Therefore, a …

Urban pluvial floods induced by rainstorms can cause severe losses to human lives and
property. Fast and accurate simulation and prediction of urban pluvial flood are of …

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 …

In response to the growing threat of urban flooding, this study developed an integrated
method to evaluate the flood risk of the study area (Fuzhou City, China) to different types of …

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 …

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 …