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DIGITAL.CSIC
Article . 2013 . Peer-reviewed
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Estudio de la estructura cortical en la Isla de Tierra del Fuego a partir de datos sismológicos

Authors: Buffoni, C.; Schimmel, Martin; Sabbione, N.C.; Rosa, M.L.;

Estudio de la estructura cortical en la Isla de Tierra del Fuego a partir de datos sismológicos

Abstract

La Isla de Tierra del Fuego (TdF) se encuentra ubicada en el extremo sur de la Cuenca de Magallanes, donde el borde transformante entre la Placa de Scotia y la Sudamericana define el Sistema de Fallas Magallanes-Fagnano (MFS), cuya falla principal tiene un movimiento sinestral. Con el fin de obtener información de la corteza, se realizó un análisis de funciones receptoras (FR) a partir de datos registrados en cinco estaciones sismológicas instaladas en la Isla. Una FR es el resultado de un proceso matemático de deconvolución de la componente vertical de un sismograma con la componente radial, y permite obtener información acerca de las discontinuidades en la corteza y en el manto. Posteriormente estas FR son sumadas mediante un proceso de H-K stacking con el cual es posible estimar valores de H y Vp/Vs a partir de un modelo de referencia. Se obtuvieron valores de H y Vp/Vs comprendidos entre 26-34 km y 1.68-1.85 respectivamente. La presencia de diferentes unidades geológicas y de diversas fallas que componen el MFS serían los responsables del ambiente geotectónico complejo presente en la zona y de los distintos valores obtenidos dependiendo de la ubicación de la estación y de la dirección de los telesismos seleccionados para el análisis.

Peer Reviewed

Country
Spain
Related Organizations
Keywords

telesismos., Isla de Tierra del Fuego, funciones receptoras, Falla de Magallanes, estructura cortical, Estructura cortical

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selected citations
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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