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<publisher>HAL CCSD</publisher>
<title lang=en>3D imaging of the Corinth rift from a new passive seismic tomography and receiver function analysis</title>
<creator>Godano, Maxime</creator>
<creator>Gesret, Alexandrine</creator>
<creator>Noble, Mark, </creator>
<creator>Lyon-Caen, Hélène</creator>
<creator>Gautier, Stéphanie</creator>
<creator>Deschamps, Anne</creator>
<contributor>Centre de Géosciences (GEOSCIENCES) ; MINES ParisTech - École nationale supérieure des mines de Paris - PSL Research University (PSL)</contributor>
<contributor>Laboratoire de géologie de l'ENS (LGE) ; École normale supérieure - Paris (ENS Paris) - Institut national des sciences de l'Univers (INSU - CNRS) - Centre National de la Recherche Scientifique (CNRS)</contributor>
<contributor>Transferts en milieux poreux ; Géosciences Montpellier ; Université des Antilles et de la Guyane (UAG) - Institut national des sciences de l'Univers (INSU - CNRS) - Université de Montpellier (UM) - Centre National de la Recherche Scientifique (CNRS) - Université des Antilles et de la Guyane (UAG) - Institut national des sciences de l'Univers (INSU - CNRS) - Université de Montpellier (UM) - Centre National de la Recherche Scientifique (CNRS)</contributor>
<contributor>Géoazur (GEOAZUR) ; Université Nice Sophia Antipolis (UNS) ; Université Côte d'Azur (UCA) - Université Côte d'Azur (UCA) - Institut national des sciences de l'Univers (INSU - CNRS) - Observatoire de la Côte d'Azur - Centre National de la Recherche Scientifique (CNRS)</contributor>
<description>International audience</description>
<source>AGU Fall Meeting</source>
<coverage>San Fransico, United States</coverage>
<identifier>hal-01417184</identifier>
<identifier>https://hal-mines-paristech.archives-ouvertes.fr/hal-01417184</identifier>
<source>https://hal-mines-paristech.archives-ouvertes.fr/hal-01417184</source>
<source>AGU Fall Meeting, 2016, San Fransico, United States. 2016</source>
<language>en</language>
<subject>[PHYS.PHYS.PHYS-GEO-PH] Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph]</subject>
<subject>[INFO.INFO-DC] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC]</subject>
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<type>Conference papers</type>
<description lang=en>The Corinth Rift is the most seismically active zone in Europe. Since the year 2000, the Corinth Rift Laboratory (CRL, http://crlab.eu) consisting in a multidisciplinary natural observatory, aims at understanding the mechanics of faulting and earthquake nucleation in the Rift. Recent studies have improved our view about fault geometry and mechanics within CRL but there is still a critical need for a better knowledge of the structure at depth.In this project, we aim to analyze the complete seismological database (13 years of recordings) of CRL by using recently developed methodologies of structural imaging in order to determine, with high resolution, the local 3D structure and the earthquake locations. We perform an iterative joint determination of 3D velocity model and earthquake coordinates. P and S velocity models are estimated through a first arrival traveltime tomography by using the adjoint state method proposed by Taillandier et al. (2009). It consists in the minimization of the cost function between observed and theoretical arrival times,which is achieved by estimating the gradient of the cost function. Earthquake locations are also estimated with a linearized inversion approach by computing the gradient of the misfit function. Iterations are repeated until the cost function no longer decreases. We present preliminary results consisting in: (1) the adjustment of a 1D velocity model that is used as initial model of the 3D tomography and (2) a first attempt of the joint determination of 3D velocity model and earthquake locations.We also perform a preliminary receiver function analysis of teleseismic data recorded by the broadband stations of the CRL network. The multiscale approach (Gesret et. al., 2010) analysis of teleseismic P to S converted waves allows to analyze the signal toward the higher frequencies and thus to characterize the structure at depth with a high resolution. Our multiscale approach should give us reliable depth of interfaces beneath seismometers in the CRL area. In this first attempt, we adjust the 1D velocity model that produces a synthetic RF as similar as possible to the stack of observed RF for a subset of data. The identified interfaces could then be compared with heterogeneities imaged by the tomography.</description>
<date>2016</date>
</dc>
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