UPV Presents Digital Twin of Poyo Gully: AI-Powered Flood Prediction Map

The University of Valencia has developed a digital twin of a gully in Spain to predict flooding and damage

The University of Valencia has created a digital twin of the Poyo Gully in Spain, a replica of the physical system that simulates its behavior and predicts potential flooding events.

The digital twin uses artificial intelligence to analyze data from sensors and weather forecasts to forecast the likelihood of flooding and the resulting damage.

The project aims to help local authorities prepare for and respond to flooding events, reducing the risk of damage to infrastructure and property.