The DT-GEO project is pioneering the use of digital twin technology to enhance our understanding and management of geophysical extremes, including tsunamis. One of the key developments within this initiative is the creation of a Digital Twin Component (DTC) specifically for Probabilistic Tsunami Forecasting (PTF). This component integrates real-time data to predict the likelihood and potential impact of tsunamis. Utilizing advanced computational models and real-time data assimilation, the PTF provides timely and accurate tsunami forecasts, crucial for early warning systems and disaster preparedness.
The PTF component is being tested at four critical Site Demonstrators: the Mediterranean Sea coast, Eastern Sicily, the Chilean coast, and Eastern Honshu in Japan. These locations are chosen for their historical and ongoing susceptibility to tsunamis, providing robust environments to validate and refine the forecasting models. This ensures that the PTF can deliver reliable predictions under varied and challenging conditions.
A standout feature of DT-GEO’s tsunami forecasting is its ability to integrate data from multiple sources, including seismic data, sea-level measurements, and GNSS data. This multi-source data integration significantly enhances the accuracy and reliability of the forecasts by offering a comprehensive understanding of the tsunami generation and propagation processes.
The project incorporates sophisticated hydrodynamic models to simulate tsunami wave propagation and coastal inundation. These models consider various physical processes, including wave dispersion and interaction with complex coastal geometries. As a result, DT-GEO can analyze not only when and where a tsunami will hit, but also the extent and intensity of coastal flooding. This information is critical for emergency response planning.
DT-GEO’s work on tsunamis exemplifies a collaborative, interdisciplinary approach, bringing together experts in geophysics, computational science, and data management. This collaboration is vital for developing comprehensive and accurate models that can be used by policymakers and emergency response teams to mitigate the risks associated with tsunamis. The project also emphasizes the importance of continuous learning and adaptation, integrating new data and scientific advancements as they become available.
The DT-GEO project is setting new standards in tsunami risk management through its innovative use of digital twin technology. The partners working specifically on the tsunami components of the project include the Norwegian Geotechnical Institute (NGI) and the University of Malaga (UMA), who, combining real-time data integration, advanced modeling, and collaborative research, provide powerful tools to predict and mitigate the impacts of tsunamis, ultimately enhancing safety and preparedness in vulnerable regions.
