Opendata, web and dolomites

SEISMAZE SIGNED

Data-intensive analysis of seismic tremors and long period events: a new paradigm for understanding transient deformation processes in active geological systems

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "SEISMAZE" data sheet

The following table provides information about the project.

Coordinator
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS 

Organization address
address: RUE MICHEL ANGE 3
city: PARIS
postcode: 75794
website: www.cnrs.fr

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country France [FR]
 Total cost 2˙490˙000 €
 EC max contribution 2˙490˙000 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2017-ADG
 Funding Scheme ERC-ADG
 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    CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS FR (PARIS) coordinator 2˙490˙000.00

Map

 Project objective

Seismic tremors form a broad class of signals generated by internal sources that are different from regular earthquakes. Volcanic tremors have been known for a long time, and tectonic tremors associated with seismogenic fault zones have been described more recently. While the physical origin of seismic tremors remains to be fully understood, they are related to slow transient energy release processes that occur in active geological systems during the accumulation of mechanical energy that is then released during catastrophic events, such as strong earthquakes or volcanic eruptions. Therefore, seismic tremors represent a unique source of information that can be used to understand the physics of these ‘preparation’ processes and to design new monitoring and forecasting approaches.

Modern digital seismological networks record huge numbers of tremors in different active regions, and breakthroughs can be achieved with systematic exploration of these observations that includes data analysis and physical modeling. My goal is to undertake such an effort via the development of a new unified framework for the study of seismic tremors. I plan to combine advanced methods for data mining, signal processing, and numerical simulations of the generating processes, to apply these to different large datasets of volcanic and tectonic tremors.

I will develop an innovative and holistic approach based on massive analysis of observations that requires high performance computing and will be combined with advanced physical modeling of the generating dynamical processes. This will produce the new framework that can be used on the one hand for an understanding of the physical tremor-generating mechanisms, and on other hand for the development of new adaptive methods for monitoring volcanoes and seismic faults. The implementation of these will involve machine learning approaches to gain information from continuous fluxes of data from dense seismological networks.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "SEISMAZE" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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

More projects from the same programme (H2020-EU.1.1.)

T-NHL SUPRESSORS (2019)

Tumor suppressor pathways counteracting oncogenic immune receptor signaling in T-Cell Lymphoma

Read More  

VARME (2019)

Varieties of Media Effects

Read More  

MYMOVE (2019)

Migrant youth mobility in Europe: patterns, processes and consequences

Read More