2016
DOI: 10.1785/0220150283
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Stress‐Drop Variability of Shallow Earthquakes Extracted from a Global Database of Source Time Functions

Abstract: International audienc

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Cited by 48 publications
(43 citation statements)
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“…This database has already been exploited to show that the stress drop increase with depth follows the medium rigidity increase, implying a constant strain drop Δ ε between 0‐ and 650‐km depth (Vallée, ). It has also been used to explore the global stress drop variability for shallow earthquakes, which is found to be reduced relative to other global databases (Courboulex et al, ). The epistemic variability is hence reduced, and the observed variability reflects more closely the actual diversity of rupture processes.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…This database has already been exploited to show that the stress drop increase with depth follows the medium rigidity increase, implying a constant strain drop Δ ε between 0‐ and 650‐km depth (Vallée, ). It has also been used to explore the global stress drop variability for shallow earthquakes, which is found to be reduced relative to other global databases (Courboulex et al, ). The epistemic variability is hence reduced, and the observed variability reflects more closely the actual diversity of rupture processes.…”
Section: Introductionmentioning
confidence: 99%
“…This vast class of earthquakes has some seismic characteristics which can be distinguished from the ones of earthquakes observed in other contexts. Analysis of their corner frequencies (Allmann & Shearer, ) or their STFs durations (Courboulex et al, ; Houston, ) show that they are in average less impulsive than intraplate earthquakes. Consistently, they are also characterized by a lower apparent stress (Choy & Boatwright, ).…”
Section: Introductionmentioning
confidence: 99%
“…In (b) and (e) earthquakes have a typical source duration T t = ( M 0 /10 16 N.m) 1/3 (Houston, ), with M 0 the seismic moment, while in (a) and (d) their durations T − are shorter, and in (c) and (f) their durations T + are longer. The latter durations are chosen according to T+false/=expfalse(lnfalse(Ttfalse)±σTfalse), where σ T = 0.35 is the empirical standard error of the lognormal duration distribution observed by Courboulex et al (). PEGS are simulated using the normal‐mode approach using a point source at 20‐km depth with an isosceles triangular moment rate function.…”
Section: Discussionmentioning
confidence: 99%
“…To do so, we build a synthetic catalog of bimodal STFs, by summing two subevents growing both as trueṀfalse(tfalse)=αfalse(ttdfalse)n where α and n randomly vary around the observational values of α d and n d . t d =0 for the first subevent and t d take random values between 0 and T 0 /2 for the second subevent, where the STF total duration T 0 takes into account the observed variability around its magnitude‐dependent scaling law (Courboulex et al, ). By also varying the relative durations (and hence moments) between the first and the second subevent, we generate a synthetic catalog with a large diversity, mimicking the main STF characteristics observed in the SCARDEC catalog: simple STFs with early development phases are obtained when the first subevent dominates, while complex ruptures, with delayed development phases, are simulated when the second subevent dominates.…”
Section: Different Behaviors Between Development Phase and Early Ruptmentioning
confidence: 99%