The computational expensiveness of the hydrodynamic models and the complexity of the
rainfall-runoff transformation process presents a pressing need to shift to machine learning …

Pluvial flash floods are fast-moving hazards and causes significant disruptions in urban
areas. With the increase in heavy precipitations, the ability to proactively identify flash floods …

Floods are the leading cause of natural disaster damages in the United States, with billions
of dollars incurred every year in the form of government payouts, property damages, and …

The objective of this study is to predict the near-future flooding status of road segments
based on their own and adjacent road segments' current status through the use of deep …

This paper examines communities' accessibility to critical facilities such as hospitals,
emergency medical services, and emergency shelters when facing flooding. We use travel …

Flooding is a major natural hazard worldwide, causing catastrophic damage to communities
and infrastructure. Due to climate change exacerbating extreme weather events robust flood …

Traditional coastal flood risk prediction often overlooks critical geographic features,
underscoring the need for accurate risk prediction in coastal cities to ensure resilience. This …

Due to extreme weather phenomena, precipitation-induced flooding has become a frequent,
widespread, and destructive natural disaster. Risk assessments of flooding have thus …

Satellite‐based optical video sensors are poised as the next frontier in remote sensing.
Satellite video offers the unique advantage of capturing the transient dynamics of floods with …

It is important that a sustainable community better prepare for and design mitigation
processes for major flooding events, particularly as the climate is non-stationary. In recent …