Project description
New seismic research to contribute to global quake preparedness
Earthquakes, causing hundreds of billions of euro in damages and hundreds of thousands of fatalities in the last two decades, remain enigmatic. With the support of the Marie Skłodowska-Curie Actions programme, the DECODE project addresses this challenge, focusing on seismic-aseismic interplay. Investigating slow slip events (SSEs), low-frequency earthquakes (LFEs), and regular earthquakes, the project aims to unveil the preparatory phase of large earthquakes. By developing a groundbreaking LFE detection method using deep learning, the project will compile comprehensive catalogues for key regions: Northern Chile, Nankai (Japan), and Nicoya (Costa Rica). Conducted at Université Grenoble Alpes and MIT, the research promises a refined scientific profile, enhancing global seismic hazard assessment and preparedness.
Objective
Earthquakes are a major threat to humankind, causing damage above 500 billion USD and more than 400,000 fatalities within the last 20 years. Nonetheless, the generation of large earthquakes remains poorly understood. Recent research suggests that the key to deciphering this preparatory phase lies in the complex interplay of seismic and aseismic processes. Three event types are of genuine interest: slow slip events (SSEs), which are episodic aseismic deformations; low-frequency earthquakes (LFEs), a type of earthquake depleted in high-frequency energy; and regular earthquakes.
A key factor limiting the understanding of the seismic-aseismic interplay are incomplete LFE catalogs, caused by the difficulty to detect these events. Therefore, in this project I will develop a novel detection method for LFEs building on recent advances in deep learning. Applying this method, I will compile comprehensive catalogs for three regions: Northern Chile, Nankai (Japan) and Nicoya (Costa Rica). These catalogs, in conjunction with continuous geodetic records, SSE catalogs and seismicity catalogs, will allow me to study the seismic-aseismic interplay. This will reveal physical driving mechanisms of the seismic-aseismic interplay and give insights into the preparation of large earthquakes. This will contribute towards the accurate assessment of seismic hazard and the preparedness for seismic events.
I will conduct this project at the Université Grenoble Alpes, with a secondment at the Massachusetts Institute of Technology. My scientific background in interdisciplinary research between deep learning and seismology, is complemented by my supervisiors: Anne Socquet, expert on aseismic processes and subduction zones; and William Frank, expert in the detection and characterisation of LFEs. The project, together with targeted training activities, will refine my scientific profile and extend my skill set, enabling me to define my independent research agenda and pursue a career in research.
Fields of science
Keywords
Programme(s)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Funding Scheme
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European FellowshipsCoordinator
38058 Grenoble
France