Repository logo
Log in(current)
Repository logoMIT Open ScholarshipDSpace@MIT
  1. Home
  2. MIT Open Access Articles
  3. MIT Open Access Articles
  4. Systematic Detection of Clustered Seismicity Beneath the Southwestern Alps

Systematic Detection of Clustered Seismicity Beneath the Southwestern Alps

Thumbnail Image
Download
Name

Beauce_2019_main_text_PREPRINT.pdf

Description
Accepted version
Size

3.6 MB

Format

Adobe PDF

Checksum (MD5)

ff1a2d556ce42e0640cc9caa84bfe133

sword-2020-05-07T17:57:24.original.xml (130 B)
Original SWORD entry document
Author(s)
Beaucé, Eric
•
Frank, William B.
•
Paul, Anne
•
Campillo, Michel
•
Campillo, Michel Henri Paul
•
Hilst, Robert D.
•
van der Hilst, Robert D
Date Issued
November 2019
Journal
Journal of Geophysical Research: Solid Earth
Publisher
American Geophysical Union (AGU)
Citation
Beaucé, Eric et al. "Systematic Detection of Clustered Seismicity Beneath the Southwestern Alps." Journal of Geophysical Research: Solid Earth 124, 11 (November 2011): 11531-11548 © 2019 American Geophysical Union
Version
Author's final manuscript
Abstract
We present a new automated earthquake detection and location method based on beamforming (or back projection) and template matching and apply it to study the seismicity of the Southwestern Alps. We use beamforming with prior knowledge of the 3-D variations of seismic velocities as a first detection run to search for earthquakes that are used as templates in a subsequent matched-filter search. Template matching allows us to detect low signal-to-noise ratio events and thus to obtain a high spatiotemporal resolution of the seismicity in the Southwestern Alps. We describe how we address the problem of false positives in energy-based earthquake detection with supervised machine learning and how to best leverage template matching to iteratively refine the templates and the detection. We detected 18,754 earthquakes over 1 year (our catalog is available online) and observed temporal clustering of the earthquake occurrence in several regions. This statistical study of the collective behavior of earthquakes provides insights into the mechanisms of earthquake occurrence. Based on our observations, we infer the mechanisms responsible for the seismic activity in three regions of interest: the Ubaye valley, the Briançonnais, and the Dora Maira massif. Our conclusions point to the importance of fault interactions to explain the earthquake occurrence in the Briançonnais and the Dora Maira massif, whereas fluids seem to be the major driving mechanism in the Ubaye valley.
MIT Department
Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
http://creativecommons.org/licenses/by-nc-sa/4.0/
Persistent DSpace Link
https://hdl.handle.net/1721.1/126022
DOI of Published Version
https://doi.org/10.1029/2019jb018110
Repository logo
PrivacyPermissionsAccessibilityContact us
Repository logo
Notify us about copyright concerns.