Design of the Geohazards Digital Twin Component

The Geohazards Digital Twin Component (DTC) is a cutting-edge system designed to enhance geohazard monitoring, assessment, and management by leveraging Earth Observation (EO) data, advanced algorithms, and Artificial Intelligence (AI) techniques. The DTC focuses on providing actionable insights for volcanic and earthquake scenarios, supporting stakeholders in mitigating risks and making informed decisions.

The Geohazards DTC consists of modular building blocks that are designed for flexibility and adaptability to a wide range of geohazard applications. These modules or building blocks act as interconnected tools for dynamic simulation, real-time monitoring, and predictive analysis. The modules integrate diverse data streams and computational models to produce actionable outputs tailored to the needs of scientific researchers, decision-makers, and disaster response teams.

These building blocks are designed to either be deployed directly within the Geohazards Exploitation Platform (GEP) or to interoperate with GEP if hosted externally. Through GEP, the components are made accessible to the Destination Earth Core Service Platform (DESP), ensuring broad availability and usability. Standard formats and protocols are adopted for compatibility with diverse EO data sources and simulation tools.

The DTC processes data hierarchically across three levels. At Level 1, it analyzes raw data from EO sources and in-situ measurements. Level 2 involves creating added-value products by combining multiple datasets, while Level 3 uses AI-driven algorithms to produce advanced models and scenarios.

The system handles dynamic input streams, including EO data from satellites, in-situ sensor data such as GNSS and seismic readings, and historical and simulated datasets. This ensures comprehensive coverage of geohazard scenarios. A user-friendly interface allows stakeholders to define input parameters, tailor outputs, and simplify workflows for complex geohazard analysis. Predictive and prescriptive capabilities enable the simulation of "what-if" scenarios and the delivery of actionable recommendations for mitigation and emergency response.

The DTC components leverage established platforms like GEP and DESP to access extensive EO data repositories, scale computational resources for simulations, and foster collaboration among scientific and decision-making communities. This ensures seamless functionality within existing infrastructures while maintaining flexibility for deployment and integration.

The design of the DTC components has been validated in real-world scenarios, such as the 2018 Mount Etna volcanic eruption and the 2016 Central Italy earthquake. These cases demonstrated the system’s ability to simulate eruption progression, ash dispersion, seismic impacts, and structural damage, providing actionable insights for stakeholders.