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dc.contributor.authorBuffoni, C.es_ES
dc.contributor.authorSchimmel, Martines_ES
dc.contributor.authorSabbione, N.C.es_ES
dc.contributor.authorRosa, M.L.es_ES
dc.contributor.authorConnon, G.es_ES
dc.date.accessioned2019-01-08T10:45:15Z-
dc.date.available2019-01-08T10:45:15Z-
dc.date.issued2019-01-
dc.identifier.citationTectonophysics, 751: 41-53 (2019)es_ES
dc.identifier.issn0040-1951-
dc.identifier.urihttp://hdl.handle.net/10261/173794-
dc.description.abstractWe investigate the structure of the crust beneath the main island of Tierra del Fuego through a teleseismic receiver function analysis and ambient seismic noise autocorrelation using data of four available broad-band stations. The area is situated in a remote region of southern Argentina where the interaction between the South American and Scotia plates define the Magallanes-Fagnano Fault System. Crustal thickness, Vp/Vs ratios and S-wave velocity models were estimated using the H-k stacking method and the inversion of receiver functions with the Neighbourhood Algorithm. Furthermore, we applied an ambient seismic noise autocorrelation procedure to identify PmP Moho reflections at all stations. The three methods provide consistent estimates for the crustal thickness which ranges from about 24.5 km in the northern part of the Island to about 39.2 km in the south. The lowest and highest values of S-wave velocity found, in the most superficial layers of the crust, correlate with the presence of Tertiary and upper Cretacic sediments in the north and with older geological units composed by more consolidated lithologies in the south, respectively. Despite the diverse geological and tectonic settings present, our results do not change significantly for different parameters or subsidiary data sets, i.e., showing the robustness of our models which likely represent closely the local structure beneath the Island. This area is considered a very seismically active one and its crustal structure has been little explored demonstrating the importance of having new models and the necessity to increase the station coverage to allow a more detailed study of the region. Furthermore, the models presented here provide better constraints on the crustal structure, and will facilitate studies of the regional seismicity that can improve our understanding of the seismic hazard posed by earthquakes such as the magnitude 7.5 and 7.8 events that occurred in 1949. © 2018es_ES
dc.description.sponsorshipThe data used in this study was obtained from scientific projects funded by the National Agency for the Promotion of Science and Technology, Argentina (ANPCyT), the National University of La Plata, Argentina (UNLP) and the National Institute of Oceanography and Experimental Geophysics, Italy (OGS). We would like to thank the staff of the Astronomical Station of Rio Grande (EARG) for the installation and maintenance of seismic stations and Marcelo Moreno from the National Institute of Seismic Prevention (INPRES) for operational support in getting data. Furthermore we are grateful to Larminat and Henninger families for allowing us to install the stations DSPA and ELCA and for providing collaboration with EARG. This work was partially supported by a grant from the National Scientific and Technical Research Council (CONICET). MS acknowledges the Spanish Project MISTERIOS CGL2013-48601-C2-1-R.es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.relation.uriMINECO/ICTI2013-2016/CGL2013-48601-C2-1-R-
dc.rightsopenAccesses_ES
dc.subjectAmbient seismic noise autocorrelationes_ES
dc.subjectCrustal thicknesses_ES
dc.subjectReceiver functionses_ES
dc.subjectTierra del Fuegoes_ES
dc.subjectVp/Vs ratioes_ES
dc.titleCrustal structure beneath Tierra del Fuego, Argentina, inferred from seismic P-wave receiver functions and ambient noise autocorrelationses_ES
dc.typeartículoes_ES
dc.identifier.doi10.1016/j.tecto.2018.12.013-
dc.description.peerreviewedPeer reviewedes_ES
dc.relation.publisherversionhttps://doi.org/10.1016/j.tecto.2018.12.013es_ES
dc.identifier.e-issn1879-3266-
dc.rights.licensehttps://creativecommons.org/licenses/by-nc-nd/4.0/es_ES
dc.contributor.funderNational Science and Technology Development Agency (Thailand)es_ES
dc.contributor.funderUniversidad Nacional de Mar del Plataes_ES
dc.contributor.funderConsejo Nacional de Investigaciones Científicas y Técnicas (Argentina)es_ES
dc.contributor.funderAgencia Nacional de Promoción Científica y Tecnológica (Argentina)es_ES
dc.contributor.funderIstituto Nazionale di Oceanografia e di Geofisica Sperimentalees_ES
dc.contributor.funderMinisterio de Economía y Competitividad (España)es_ES
dc.relation.csices_ES
oprm.item.hasRevisionno ko 0 false*
dc.identifier.funderhttp://dx.doi.org/10.13039/501100002923es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100003074es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100003329es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100007070es_ES
dc.contributor.orcidSchimmel, Martin [0000-0003-2601-4462]es_ES
dc.type.coarhttp://purl.org/coar/resource_type/c_6501es_ES
item.openairetypeartículo-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
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