Intraplate Earthquakes: the signature of the static fatigue of continents

This project aims to understand and predict rare earthquakes in Stable Continental Regions by leveraging AI to create a comprehensive earthquake catalog and modeling static fatigue effects on crustal stress.

Subsidie
€ 1.999.434
2024

Projectdetails

Introduction

While most earthquakes occur near plate boundaries, where the relative motion of tectonic plates is accommodated by slip on active faults, rare and unexpected but destructive earthquakes also occur in Stable Continental Regions (SCRs). In SCRs, although we do not know why, earthquakes occur everywhere, they cluster, are of all magnitudes, and are modulated by surface loads.

Current Understanding

However, no tectonic, secular strain can be detected, and we do not know the origin of the elastic stress fueling these seismic events. Current hypotheses suggest that SCRs are stable reservoirs of elastic stress in which earthquakes can tap to break the crust. However, although tremendous work has been conducted to seismically characterize these regions, existing catalogs are not dense enough to explore potential physical mechanisms.

Proposed Hypothesis

I propose to test the following hypothesis: these rare albeit potentially destructive earthquakes are the result of the static fatigue of continents under stress left by previous phases of deformation in the geological history of a region.

Methodology

  1. Data Collection: I will leverage the latest developments in artificial intelligence to grow the densest and largest global catalog of earthquakes in SCRs from seismological and InSAR data (WP1).
  2. Surface Load Prediction: I will develop a tool to predict realistic time series of surface loads affecting the crust (WP2).
  3. Numerical Modeling: I will implement static fatigue in the form of brittle creep in a numerical model (WP3) to test whether continents are effectively failing today under paleo-stress left by fossil plate boundaries perturbed by today's modulations of crustal stress, comparing model outcomes with data collected in WP1.

Interdisciplinary Approach

This interdisciplinary project combining seismology, geodesy, machine learning, and numerical modeling will allow us to:

  1. Grow a physical understanding of the seismogenic behavior of SCRs.
  2. Tune estimates of seismogenic potential (and eventually hazard) for any given SCR.
  3. Test whether a changing climate will affect the seismogenic potential of SCRs in the future.

Financiële details & Tijdlijn

Financiële details

Subsidiebedrag€ 1.999.434
Totale projectbegroting€ 1.999.434

Tijdlijn

Startdatum1-9-2024
Einddatum31-8-2029
Subsidiejaar2024

Partners & Locaties

Projectpartners

  • ECOLE NORMALE SUPERIEUREpenvoerder
  • CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS

Land(en)

France

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