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  5. Seismic Ambient Noise Imaging of a Quasi-Amagmatic Ultra-Slow Spreading Ridge
 
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Seismic Ambient Noise Imaging of a Quasi-Amagmatic Ultra-Slow Spreading Ridge

Author(s)
Mohamadian Sarvandani, Mohamadhasan  
Institut des Sciences de la Terre Paris, Sorbonne Université, CNRS-INSU, ISTeP UMR 7193,75005 Paris, France  
Kästle, Emanuel  
Insitut für Geologische Wissenschaften, Freie Universität, 12249 Berlin, Germany  
Boschi, Lapo  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Bologna, Bologna, Italia  
Leroy, Sylvie  
Institut des Sciences de la Terre Paris, Sorbonne Université, CNRS-INSU, ISTeP UMR 7193,75005 Paris, France  
Cannat, Mathilde  
Géosciences Marines, Institut de Physique du Globe de Paris, 75005 Paris, France  
Language
English
Obiettivo Specifico
1T. Struttura della Terra
Status
Published
JCR Journal
JCR Journal
Peer review journal
Yes
Journal
Remote Sensing  
Issue/vol(year)
/13 (2021)
ISSN
2072-4292
Publisher
MDPI
Pages (printed)
2811
Date Issued
2021
DOI
10.3390/rs13142811
URI
https://www.earth-prints.org/handle/2122/14840
Subjects
04.06. Seismology  
04.01. Earth Interior  
Abstract
Passive seismic interferometry has become very popular in recent years in explorationgeophysics. However, it has not been widely applied in marine exploration. The purpose of thisstudy is to investigate the internal structure of a quasi-amagmatic portion of the Southwest IndianRidge by interferometry and to examine the performance and reliability of interferometry in marineexplorations. To reach this goal, continuous vertical component recordings from 43 ocean bottomseismometers were analyzed. The recorded signals from 200 station pairs were cross-correlated inthe frequency domain. The Bessel function method was applied to extract phase–velocity dispersioncurves from the zero crossings of the cross-correlations. An average of all the dispersion curveswas estimated in a period band 1–10 s and inverted through a conditional neighborhood algorithmwhich led to the final 1D S-wave velocity model of the crust and upper mantle. The obtained S-wavevelocity model is in good agreement with previous geological and geophysical studies in the regionand also in similar areas. We find an average crustal thickness of 7 km with a shallow layer of lowshear velocities and high Vp/Vs ratio. We infer that the uppermost 2 km are highly porous and maybe strongly serpentinized.
Type
article
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remotesensing-13-02811-v4.pdf

Description
Open Access published article
Size

10.6 MB

Format

Adobe PDF

Checksum (MD5)

9470a6ea497301c4b9d2818dabc97491

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