Earthquake Early Warning
Our approach to earthquake detection combines high-performance computing with machine learning algorithms to identify seismic events rapidly. Using real-time data streams, the system provides detailed source characterization, including magnitude, depth, and fault orientation, within seconds of detection.
TRANSFORM² is developing robust early warning systems capable of issuing alerts mere seconds after detecting seismic activity. These systems aim to maximize lead times, enabling emergency responses such as halting train operations, securing industrial processes, and alerting communities at risk. The new platforms for supporting decision-makers through earthquake early warning will combine regional and on-site systems, new communication systems beyond telemetry, and tailored applications to citizens and stakeholders.
Taking advantage of the recent progress in sensors and communication technologies, alongside new theories and observations on the earthquake nucleation process, TRANSFORM2 sets the grounds for the development of the new concept of EEWS, having the next-generation NFOs as backbone infrastructures.
TRANSFORM2 paves the way for the development of EEW systems at existing and new candidate NFOs, through a screening and evaluation of their readiness and EEW capacity. It explores whether the implementation of EEWS can benefit: a) from advanced, non-traditional sensors, such as fiber optic DAS and GNSS sensors and b) through the design of efficient algorithms for the prediction of the expected ground motion with its uncertainties, as well as through the investigation of innovative, ML-based approaches for ground shaking prediction.
At selected sites, TRANSFORM2 will engage selected stakeholders to test the entire end-to-end chain of data acquisition, processing, and alert release. A mobile app will be developed to allow dissemination of EEW from participating
NFOs.
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