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The MontSE project, Ref. PID2024-156639OB-I00 is funded by MCIN / AEI / 0.13039/501100011033 / FEDER, UE

 To explore a common background on a digital twin paradigm for multi-risk quantitative analysis and short-term forecasting 

A comprehensive quantitative risk analysis (QRA) of rockfalls and debris floods in urban areas and critical infrastructures for land-use decision-making requires extensive data, such as the identification of source areas, magnitude-frequency relationships, trajectory simulations for rock blocks and debris floods/flows, the exposure of static (buildings, infrastructure) and dynamic elements (vehicles, people), as well as their associated vulnerabilities and economic costs. The outcome will include direct losses, both economic and human (e.g., fatalities), and georeferenced risk assessments for static and dynamic elements, considering direct impact scenarios depending on the exposure (work days, week-end, season, etc). This project aims to integrate these multiple data sources and processes into a Digital Twin, as a unified framework for QRA of rockfalls and debris floods, including the fragmentation phenomenon and their interactions, while incorporating climatic data to enable short-term forecasting of hazard activity. The current and short-term forecasting multi-hazard risk scenarios and their uncertainties.