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Joint determination of slip and stress drop in a Bayesian inversion approach:

  • Stress drop is a key factor in earthquake mechanics and engineering seismology. However, stress drop calculations based on fault slip can be significantly biased, particularly due to subjectively determined smoothing conditions in the traditional least-square slip inversion. In this study, we introduce a mechanically constrained Bayesian approach to simultaneously invert for fault slip and stress drop based on geodetic measurements. A Gaussian distribution for stress drop is implemented in the inversion as a prior. We have done several synthetic tests to evaluate the stability and reliability of the inversion approach, considering different fault discretization, fault geometries, utilized datasets, and variability of the slip direction, respectively. We finally apply the approach to the 2010 M8.8 Maule earthquake and invert for the coseismic slip and stress drop simultaneously. Two fault geometries from the literature are tested. Our results indicate that the derived slip models based on both fault geometries are similar, showingStress drop is a key factor in earthquake mechanics and engineering seismology. However, stress drop calculations based on fault slip can be significantly biased, particularly due to subjectively determined smoothing conditions in the traditional least-square slip inversion. In this study, we introduce a mechanically constrained Bayesian approach to simultaneously invert for fault slip and stress drop based on geodetic measurements. A Gaussian distribution for stress drop is implemented in the inversion as a prior. We have done several synthetic tests to evaluate the stability and reliability of the inversion approach, considering different fault discretization, fault geometries, utilized datasets, and variability of the slip direction, respectively. We finally apply the approach to the 2010 M8.8 Maule earthquake and invert for the coseismic slip and stress drop simultaneously. Two fault geometries from the literature are tested. Our results indicate that the derived slip models based on both fault geometries are similar, showing major slip north of the hypocenter and relatively weak slip in the south, as indicated in the slip models of other studies. The derived mean stress drop is 5-6 MPa, which is close to the stress drop of similar to 7 MPa that was independently determined according to force balance in this region Luttrell et al. (J Geophys Res, 2011). These findings indicate that stress drop values can be consistently extracted from geodetic data.zeige mehrzeige weniger

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Verfasserangaben:Lifeng Wang, Gert ZöllerORCiDGND, Sebastian HainzlORCiDGND
URN:urn:nbn:de:kobv:517-opus4-435511
DOI:https://doi.org/10.25932/publishup-43551
ISSN:1866-8372
Titel des übergeordneten Werks (Deutsch):Postprints der Universität Potsdam : Mathematisch Naturwissenschaftliche Reihe
Untertitel (Englisch):a case study for the 2010 M8.8 Maule earthquake
Schriftenreihe (Bandnummer):Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe (888)
Publikationstyp:Postprint
Sprache:Englisch
Datum der Erstveröffentlichung:21.04.2020
Erscheinungsjahr:2014
Veröffentlichende Institution:Universität Potsdam
Datum der Freischaltung:21.04.2020
Freies Schlagwort / Tag:Bayesian; fault slip; geodetic measurements; stress drop
Ausgabe:888
Seitenanzahl:16
Erste Seite:375
Letzte Seite:388
Quelle:Pure and Applied Geophysics 172 (2015) 375–388 DOI: 10.1007/s00024-014-0868-x
Organisationseinheiten:Mathematisch-Naturwissenschaftliche Fakultät
DDC-Klassifikation:5 Naturwissenschaften und Mathematik / 55 Geowissenschaften, Geologie / 550 Geowissenschaften
Peer Review:Referiert
Publikationsweg:Open Access
Lizenz (Deutsch):License LogoKeine öffentliche Lizenz: Unter Urheberrechtsschutz
Externe Anmerkung:Bibliographieeintrag der Originalveröffentlichung/Quelle
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