Flooding is a major threat that presents a significant risk to human survival and development
worldwide. Regarding flood risk management, flood modeling enables understanding …

With the advancement of computer science, Artificial Intelligence (AI) is being incorporated
into many fields to increase prediction performance. Disaster management is one of the …

Flash floods are largely driven by high rainfall rates in convective storms that are projected
to increase in frequency and intensity in a warmer climate in the future. However, quantifying …

Flood inundation forecast provides critical information for emergency planning before and
during flood events. Real time flood inundation forecast tools are still lacking. High …

Flood nowcasting refers to near-future prediction of flood status as an extreme weather
event unfolds to enhance situational awareness. The objective of this study was to adopt …

Hydrologic models are a powerful tool to predict water-related natural hazards. Of all
hydrologic models, CREST (Coupled Routing and Excess STorage) was developed to …

Urban river network plays an important role in the process of drainage. The real-time
prediction system of river water level can provide early warning information to the decision …

The frequency of extreme events is increasing as the consequences of climate change. In
steep terrains, flash floods with high‐flow velocities induce erosion and sedimentation with …

Floods in the US exhibit strong spatiotemporal variability, mainly controlled by precipitation
types and catchment attributes. In a future warmer climate, it remains largely unclear how …

As the impact of flooding intensifies globally in metropolitan areas, there is an urgent need
for high-resolution flood forecasting models to facilitate preparedness and mitigate flood …