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Predicting Energy Release in fault Systems: Integrating Simulations, Machine learning, Observations

Project description

So when’s the next earthquake?

Earthquakes are actually very common occurrences. They occur daily even though few people actually notice because they are phantom tremors (light and occur deeper underground). Only sensitive instruments can record them. What about predicting quakes or other destructive natural events like tsunamis. Is this possible? The EU-funded PERSISMO project may soon find out. It is building a physics-based Virtual Earthquake Simulator which will make seismic and tsunamic hazard estimates on fault networks. Specifically, it will create a framework that will include all known physical contributions to dynamic fracturing. The aim will be to unify a never-achieved range of spatiotemporal scales, from meters to hundreds of kilometres, seconds to millenniums.

Field of science

  • /natural sciences/earth and related environmental sciences
  • /natural sciences/earth and related environmental sciences/physical geography/natural disaster
  • /natural sciences/computer and information sciences/artificial intelligence/machine learning

Call for proposal

ERC-2019-COG
See other projects for this call

Funding Scheme

ERC-COG - Consolidator Grant

Host institution

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
Address
Rue Michel Ange 3
75794 Paris
France
Activity type
Research Organisations
EU contribution
€ 1 999 611

Beneficiaries (1)

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
France
EU contribution
€ 1 999 611
Address
Rue Michel Ange 3
75794 Paris
Activity type
Research Organisations