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MONIFAULTS SIGNED

Monitoring real faults towards their critical state

Total Cost €

0

EC-Contrib. €

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Partnership

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 MONIFAULTS project word cloud

Explore the words cloud of the MONIFAULTS project. It provides you a very rough idea of what is the project "MONIFAULTS" about.

economic    remind    geometry    detection    parallel    deformation    observations    matrix    near    responsible    preceding    fault    urgent    methodology    last    earthquake    unknown    learning    instrumentation    physical    insights    risk    discover    fatalities    factorization    limited    earth    elastic    italy    introduce    perturbations    understand    tides    excellent    evolve    reveal    seismological    earthquakes    physics    sequence    nucleation    deep    forecasting    298    approaching    poorly    permit    models    lab    rupture    rocks    ignorance    incoming    stress    nucleate    cutting    dependent    signals    faults    direct    natural    posit    describing    techniques    geodetic    geophysical    periods    spatiotemporal    covariance    derive    laboratory    monitoring    anomalous    unravel    observational    time    continuous    emerges    governing    forecast    machine    monitor    critical    rheology    exhaustive    evolution    posed    seismic    data    edge   

Project "MONIFAULTS" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITE GRENOBLE ALPES 

There are not information about this coordinator. Please contact Fabio for more information, thanks.

 Coordinator Country France [FR]
 Total cost 1˙393˙174 €
 EC max contribution 1˙393˙174 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2018-STG
 Funding Scheme ERC-STG
 Starting year 2019
 Duration (year-month-day) from 2019-01-01   to  2023-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITE GRENOBLE ALPES FR (GRENOBLE) coordinator 1˙393˙174.00
2    UNIVERSITE GRENOBLE ALPES FR (SAINT MARTIN D'HERES) coordinator 0.00

Map

 Project objective

The last seismic sequence in Italy, responsible for 298 fatalities and important economic loss, remind us how urgent it is to improve our knowledge about earthquake physics to advance earthquake forecasting. While direct observations during laboratory earthquakes permit us to derive exhaustive physical models describing the behaviour of rocks and to forecast incoming lab-earthquakes, the complex physics governing the nucleation of earthquakes remain poorly understood in real Earth, and so does our ability to forecast earthquakes. I posit that this ‘ignorance’ emerges from our limited ability to unravel information about fault physics from geophysical data.The objective of this proposal is to introduce a new and integrated methodology to monitor the spatiotemporal evolution of elastic properties on real faults using seismological and geodetic data. We will apply machine learning and covariance matrix factorization for improved earthquake detection, and to discover ‘anomalous’ seismological signals, which will reveal unknown physical processes on faults. These novel observations will be integrated with time dependent measurements of rheology and deformation, obtained from cutting-edge techniques applied to continuous seismological and geodetic data. Our integrated monitoring approach will be applied to study how faults respond to known stress perturbations (as Earth tides). In parallel, we will analyse periods preceding significant earthquakes to assess how elastic properties and deformation evolve while a fault is approaching a critical (near rupture) state. Our natural laboratory will be Italy, given its excellent geodetic and seismological instrumentation, deep knowledge about faults geometry and the relevant risk posed by earthquakes. Our research will provide new insights about the complex physics of faults at critical state, necessary to understand how real earthquakes nucleate. This project will also have a major impact on observational earthquake forecast.

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The information about "MONIFAULTS" are provided by the European Opendata Portal: CORDIS opendata.

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