CIMA Research Foundation collaborates with the Autonomous Province of Trento within the framework of the PQCP Project – Enhancement of the Predictive Knowledge Framework of the Hydrological Regime of the Autonomous Province of Trento, aimed at strengthening the tools supporting civil protection activities for flood forecasting and monitoring, as well as for the management of the region’s water resources. The project is funded under the Autonomous Province of Trento’s FESR 2021–2027 Programme and contributes to climate change adaptation strategies and natural risk prevention policies.
The initiative stems from the need to update and enhance the forecasting and monitoring systems for river. In particular, the project includes the adaptation and enhancement of FloodPROOFS-Italia, the national flood forecasting system developed by CIMA Research Foundation, through its integration with S3M-Italia, a model designed to simulate snow accumulation and snowmelt processes. The combination of these two systems makes it possible to represent more accurately the hydrological dynamics typical of alpine environments, which are strongly influenced by snow and glacier-related processes.
GOALS AND EXPECTED RESULTS
The research activities carried out within the project aim to:
- Enhance and refine the FloodPROOFS-Italia hydrological modelling setup for the area of interest through a calibration process and the inclusion of hydropower generation infrastructure;
- Use the meteorological models currently operated by the Risk Prevention and Emergency Coordination Service (C.U.E.) as input for FloodPROOFS-Italia operational forecasting;
- Process the outputs generated by the S3M-Italia snow and glacier melt model to provide information supporting the assessment of potential snow-derived water resource availability within the catchments of interest;
- Implement a dedicated S3M-Italia configuration to provide seasonal forecasts of snowpack accumulation evolution.
CIMA RESEARCH FOUNDATION’S CONTRIBUTION
CIMA Research Foundation is responsible for the scientific and research activities envisaged by the project, aimed at developing and optimizing advanced tools for hydrological forecasting and water resource monitoring. Through the integration of models, observational data, and innovative methodologies, the Foundation provides technical and scientific support to institutions involved in hydrogeological risk management and climate change adaptation.
Photograph: Sambuco Massimo/UIF
