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Articles | Volume 14, issue 5
Articles | Volume 14, issue 5
https://doi.org/10.5194/se-14-499-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/se-14-499-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 5
Research article
 | 
08 May 2023
Research article |  | 08 May 2023

Mapping the basement of the Cerdanya Basin (eastern Pyrenees) using seismic ambient noise

Jordi Díaz, Sergi Ventosa, Martin Schimmel, Mario Ruiz, Albert Macau, Anna Gabàs, David Martí, Özgenç Akin, and Jaume Vergés

Supplement

https://doi.org/10.5194/se-14-499-2023-supplement

Data sets

Catalan Seismic Network Institut Cartogràfic i Geològic de Catalunya https://doi.org/10.7914/SN/CA

Spanish Digital Seismic Network Instituto Geografico Nacional, Spain https://doi.org/10.7914/SN/ES

RESIF-RLBP French Broad-band network, RESIF-RAP strong motion network and other seismic stations in metropolitan France RESIF https://doi.org/10.15778/resif.fr

SANIMS J. Diaz and M. Schimmel https://doi.org/10.7914/SN/YS_2019

Model code and software

SeismoRMS - A simple python/jupyter notebook package for studying seismic noise changes (1.0) Thomas Lecocq, Frédérick Massin, Claudio Satriano, Mark Vanstone, and Tobias Megies https://doi.org/10.5281/zenodo.3820046

FastPCC: software to compute phase cross-correlations Sergio Ventosa and Martin Schimmel https://doi.org/10.20350/digitalCSIC/13837

ts-PWS: software to compute time-scale phase-weighted stack Sergio Ventosa and Martin Schimmel https://doi.org/10.20350/digitalCSIC/13846

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Short summary
We assess the capability of multiple methods based on the interpretation of seismic noise to map the basement of the Cerdanya Basin, located in the eastern Pyrenees. Basement depth estimations retrieved from the different approaches are consistent, with maximum depths reaching 700 m close to the Têt fault bounding the basin to the east. Our results prove that seismic noise analysis using high-density networks is an excellent tool to improve the geological characterization of sedimentary basins.
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