Deep learning techniques and algorithms are emerging as a disruptive technology with the
potential to transform global economies, environments and societies. They have been …

Floods are a devastating natural calamity that may seriously harm both infrastructure and
people. Accurate flood forecasts and control are essential to lessen these effects 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 …

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 …

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 …

Every year flood events lead to thousands of casualties and significant economic damage.
Mapping the areas at risk of flooding is critical to reducing these losses, yet until the last few …

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 …

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 …