File No.: INNEST/2025/510
This project has received a grant of €268,974.91 thanks to the financial support of the Valencian Innovation Agency (AVI)
The overall objective of the AIGUALERT project is to develop a new generation of intelligent, resilient, and predictive hydrological platforms capable of autonomously monitoring, surveillance, and managing extreme hydrological events. This technological evolution is based on the comprehensive modernization of data acquisition processes, incorporating state-of-the-art physical sensors—safer, more efficient, and more economical—along with unconventional information sources based on social sensing. Specifically, the project will leverage the potential of social networks and digital platforms to capture, using artificial intelligence, citizens’ perceptions of critical hydrological phenomena such as floods, flash floods, and spills. This approach will expand the system’s spatial and temporal coverage, providing decentralized, real-time alerts, even in environments where physical sensors may fail or be unavailable. Furthermore, AIGUALERT will integrate advanced hydrological forecasting services based on flow simulation models, both physical (such as SWAT+) and AI-based, automatically updated with short-term weather forecasts. This combination of predictive data and models will allow for more accurate anticipation of extreme events, optimizing the planning of preventative measures and the proactive management of water resources. All of this technology will be encapsulated in a user-centric Operational Platform (OP), designed to facilitate its application and optimize real-time decision-making processes.