Urban flooding has become an increasingly frequent and fatal natural hazard and numerical
modeling techniques play a vital role in its prediction and management. We review urban …

Flood hazard mapping (FHM) has undergone significant development in terms of approach
and capacity of the result to meet the target of policymakers for accurate prediction and …

The computational limitations of complex numerical models have led to adoption of
statistical emulators across a variety of problems in science and engineering disciplines to …

Deep Learning techniques have been increasingly used in flood management to overcome
the limitations of accurate, yet slow, numerical models, and to improve the results of …

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 …

Google's operational flood forecasting system was developed to provide accurate real-time
flood warnings to agencies and the public with a focus on riverine floods in large, gauged …

As one of nature's most destructive calamities, floods cause fatalities, property destruction,
and infrastructure damage, affecting millions of people worldwide. Due to its ability to …

The prevalence of flooding events and the associated risk in the urban areas is an
increasingly important issue of global significance, although it is more critical for the …

Over the past decades, the scientific community has made significant efforts to simulate
flooding conditions using a variety of complex physically based models. Despite all …

Urbanisation is an irreversible trend as a result of social and economic development. Urban
areas, with high concentration of population, key infrastructure, and businesses, are …