This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: https://doi.org/10.3390/rs15092270. This is version 2 of this Preprint.
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Abstract
The Mw 4.9 earthquake of 11 November 2019 at Le Teil (France) occurred at a very shallow depth (about 1 km) inducing the surface rupture of La Rouvière fault, nearby of a limestone quarry. Thanks to satellite differential interferometry, we detected the existence of the secondary surface rupture of the quasi-parallel Bayne Rocherenard fault. A newly processed seismic cross-section allowed us to construct a local 3D fault system. Assuming that the earthquake was triggered by the transient increase in hydraulic pressure following heavy rainfall before the event, our numerical 3D simulations demonstrate that the hydraulic pressure gradient is maximum just before the earthquake at the intersection of the two faults, the most probable place of the hypocenter. This hydraulic effect is about two and a half times larger than the cumulative effect of mechanical stress release due to the mass removal from the surface quarry over the two past centuries.
DOI
https://doi.org/10.31223/X5MS8Z
Subjects
Earth Sciences, Geophysics and Seismology, Hydrology, Numerical Analysis and Scientific Computing
Keywords
earthquake of 11 November 2019, Le Teil, surface rupture, quarry, ComPASS, hydroseismicity, Hydraulic triggering, Sentinel-1, SMOS, soil moisture, Vadose Zone, hydraulic recharge, Fault system, carbonates
Dates
Published: 2022-08-08 17:23
Last Updated: 2023-04-25 19:27
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License
CC BY Attribution 4.0 International
Additional Metadata
Data Availability (Reason not available):
Acquisitions of Sentinel-1 satellite for DInSAR are provided by the European Space Agency (ESA, https://sentinel.esa.int/web/sentinel/sentinel-data-access). The in situ soil moisture data and SMOS surface soil moisture data are freely available on the web site of the International Soil Moisture Network (ISMN, https://ismn.geo.tuwien.ac.at/en/) and of the French ground segment for the Level 3 data (CATDS, https://www.catds.fr/), respectively.
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