Joint Determination of Slip and Stress Drop in a Bayesian Inversion Approach: A Case Study for the 2010 M8.8 Maule Earthquake

Wang, Lifeng; Zöller, Gert; Hainzl, Sebastian

doi:10.1007/s00024-014-0868-x

Cited by 6 publications

(3 citation statements)

References 56 publications

(63 reference statements)

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“…1). In addition, the 2010 Mw 8.8 Chile earthquake exhibited high static stress drop of 50-70 bars (Luttrell et al 2011;Wang et al 2015), relatively larger than earthquakes (30 bars) in the subduction zone (cf. Kanamori and Anderson 1975).…”

Section: Figmentioning

confidence: 99%

Rupture features of the 2010 Mw 8.8 Chile earthquake extracted from surface waves

Huang

Hwang

Jhuang

et al. 2017

Earth Planets Space

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This study used the rupture directivity theory to derive the fault parameters of the 2010 Mw 8.8 Chile earthquake on the basis of the azimuth-dependent source duration obtained from the Rayleigh-wave phase velocity. Results revealed that the 2010 Chile earthquake featured asymmetric bilateral faulting. The two rupture directions were N171°E (northward) and N17°E (southward), with rupture lengths of approximately 313 and 118 km, respectively, and were related to the locking degree in the source region. The entire source duration was approximately 187 s. After excluding the rise time from the source duration, the northward rupture velocity was approximately 2.02 km/s, faster than the southward rupture velocity (1.74 km/s). On average, the rupture velocity derived from this study was slower than that estimated from finite-fault inversion; however, several historical earthquakes in the Chile region also showed slow rupture velocity when using low-frequency signals, as surface waves do. Two earlier studies through globalpositioning-system data analysis showed that the static stress drop of 50-70 bars for the 2010 Chile earthquake was higher than that for subduction-zone earthquakes. Hence, a remarkable feature was that the 2010 Chile earthquake had a slow rupture velocity and a high static stress drop, which suggested an inverse relationship between rupture velocity and static stress drop.

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Section: Figmentioning

confidence: 99%

Rupture features of the 2010 Mw 8.8 Chile earthquake extracted from surface waves

Huang

Hwang

Jhuang

et al. 2017

Earth Planets Space

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“…Over the last few decades, developments in various modern geodetic observation networks around the world (for example, GPS Earth Observation Network in Japan; Crustal Movement Observation Network of China in China; Central California Network in the United States) and studies on three‐dimensional fault geometries (e.g., Hayes et al, ) have largely prompted fault modeling research. Geodetic records of interseismic, coseismic, and postseismic displacements are convenient for understanding the fault slip kinematics in a seismic cycle, and supply important information for regional seismic hazard analysis (Ader et al, ; Chlieh et al, ; Hsu et al, ; Lin et al, ; Perfettini et al, ; Wang, Zöller, & Hainzl, ).…”

Section: Introductionmentioning

confidence: 99%

The NextM~6 Event in Parkfield Implied by a Physical Model Linking Interseismic, Coseismic, and Postseismic Phase

Wang

2018

JGR Solid Earth

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Determination of the constitutive frictional parameters is crucial for describing the dynamic behaviors of natural faults. In this study, we explore the along‐strike variation in fault friction along the San Andreas Fault in Parkfield, where characteristic M6 earthquakes occur nearly every 25 years. Using displacement data measured over decades encompassing the interseismic, coseismic, and postseismic phase of the 2004 M6 event, which involve inherent fault rheological responses to tectonic loading, we construct a physical model based on the rate‐dependent friction law to describe the fault slip and stress evolution. Our modeled friction rate parameter is consistent with available laboratory measurements using fault cores collected from the San Andreas Fault Observatory at Depth. Based on the physical model linking interseismic, coseismic, and postseismic phase, we predict that the 25‐year slip deficit following the 2004 M6 earthquake will predominantly accumulate in the area to the south of the 2004 event hypocenter, with an energy equivalent to a M6.0 event. Together with the slip deficit accumulated over the 25 years prior to the 2004 event that was unreleased by this event, the total slip deficit amounts to a moment magnitude of M6.35 ± 0.11, suggesting the upper limit of the seismic release level until 2029. The proposed model (1) involves only two free quantities (the friction rate parameter and velocity coefficient used to determine the effective normal stress); (2) is well constrained by available interseismic, coseismic, and postseismic displacement data; and (3) highlights along‐strike variations in the fault friction.

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“…Young et al (2013) imaged the 3-D shear velocity structure of the Tasmanian crust using a Bayesian transdimensional inversion. On the other hand, Pachhai et al (2014) explored ultralow velocity zone parameters at the base of the mantle under the Philippine Sea, while Wang et al (2015) inverted simultaneously for fault slip and stress drop and Mustać and Tkalčić (2016) for moment tensors of point sources using Monte Carlo methods. Quite recently, Wirth et al (2017) used a Markov chain Monte Carlo (MCMC) with Gibbs sampling method for the interpretation of radial and transverse component receiver functions.…”

Section: Introductionmentioning

confidence: 99%

On the Implications of A Priori Constraints in Transdimensional Bayesian Inversion for Continental Lithospheric Layering

Roy

Romanowicz

2017

JGR Solid Earth

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Monte Carlo methods are powerful approaches to solve nonlinear problems and are becoming very popular in Earth sciences. One reason being that, at first glance, no constraints or explicit regularization of model parameters are required. At second glance, one might realize that regularization is done through a prior. The choice of this prior, however, is subjective, and with its choice, unintended or undesired extra information can be injected into the problem. The principal criticism of Bayesian methods is that the prior can be “tuned” in order to get the expected solution. Consequently, detractors of the Bayesian method could easily argue that the solution is influenced by the form of the prior distribution, which choice is subjective. Hence, models obtained with Monte Carlo methods are still highly debated. Here we investigate the influence of a priori constraints (i.e., fixed crustal discontinuities) on the posterior probability distributions of estimated parameters, that is, vertical polarized shear velocity VSV and radial anisotropy ξ, in a transdimensional Bayesian inversion for continental lithospheric structure. We follow upon the work of Calò et al. (2016), who jointly inverted converted phases (P to S) without deconvolution and surface wave dispersion data, to obtain 1‐D radial anisotropic shear wave velocity profiles in the North American craton. We aim at verifying whether the strong lithospheric layering found in the stable part of the craton is robust with respect to artifacts that might be caused by the methodology used. We test the hypothesis that the observed midlithospheric discontinuities result from (1) fixed crustal discontinuities in the reference model and (2) a fixed Vp/Vs ratio. The synthetic tests on two Earth models show that a fixed Vp/Vs ratio does not introduce artificial layering, even if the assumed value is slightly wrong. This is an important finding for real data inversion where the true value is not always available or accurate. However, fixing crustal discontinuities can lead to the introduction of spurious layering, and this is not recommended. Additionally, allowing the Vp/Vs ratio to vary does not help preventing that. Applying the modified approach resulting from these tests to two stations (FRB and FCC) in the North American craton, we confirm the presence of at least one midlithospheric low‐velocity layer. We also confirm the difficulty of consistently detecting the lithosphere‐asthenosphere boundary in the craton.

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Joint Determination of Slip and Stress Drop in a Bayesian Inversion Approach: A Case Study for the 2010 M8.8 Maule Earthquake

Cited by 6 publications

References 56 publications

Rupture features of the 2010 Mw 8.8 Chile earthquake extracted from surface waves

Rupture features of the 2010 Mw 8.8 Chile earthquake extracted from surface waves

The NextM~6 Event in Parkfield Implied by a Physical Model Linking Interseismic, Coseismic, and Postseismic Phase

On the Implications of A Priori Constraints in Transdimensional Bayesian Inversion for Continental Lithospheric Layering

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