Stochastic modeling of slip spatial complexities for the 1979 Imperial Valley, California, earthquake

Lavallée, D.; Archuleta, Ralph J.

doi:10.1029/2002gl015839

Cited by 75 publications

(85 citation statements)

References 23 publications

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“…Recent studies have clarified systematic features of earthquake source via the scaling of slip distributions (Somerville et al, 1999;Mai and Beroza, 2000) or via slip complexity (Mai and Beroza, 2002;Lavallee and Archuleta, 2003). Waveform inversions and strong motion simulations show that asperities within the rupture area control the ground motion characteristics.…”

Section: Introductionmentioning

confidence: 99%

Scaling of characterized slip models for plate-boundary earthquakes

2008

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We characterized source rupture models with heterogeneous slip of plate-boundary earthquakes in the Japan region. The slip models are inferred from strong-motion, teleseismic, geodetic, or tsunami records. For the identification of asperities in the slip models, we found that the area of subfaults retrieved with slips of >1.5 times the total average slip provides a size approximately equivalent to the characterized asperity by Somerville et al. (1999). We then carried out regression analyses of the size and slip for the rupture area and asperity. The obtained scaling relationship to the seismic moment indicates that rupture area S, average slip D, and combined area of asperities S a are 1.4, 0.4, and 1.2 times larger, respectively, than those of crustal earthquakes. In contrast, the ratios of the size and slip between the asperities and rupture area (S a /S and D a /D) are the same for plateboundary earthquakes as for crustal earthquakes. The above analyses indicate that plate-boundary and crustal earthquakes share similar source characteristics.

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Section: Introductionmentioning

confidence: 99%

Scaling of characterized slip models for plate-boundary earthquakes

2008

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“…Both can be non uniform. Slip distributions inferred from seismological and geodetic data provide a valuable constraint on possible stochastic parameterizations of stress drop [Mai and Beroza, 2002;Lavallée and Archuleta, 2003]. Fracture energy might be the only dynamic parameter that can be robustly inferred from frequency-limited strong motion data [Guatteri and Spudich, 2000].…”

Section: Introductionmentioning

confidence: 99%

Properties of dynamic earthquake ruptures with heterogeneous stress drop

Ampuero

Ripperger

2006

Earthquakes: Radiated Energy and the Physics of Faulting

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Earthquake rupture is a notoriously complex process, at all observable scales. We introduce a simplified semi-dynamic crack model to investigate the connection between the statistical properties of stress and those of macroscopic source parameters such as rupture size, seismic moment, apparent stress drop and radiated energy. Rupture initiation is treated consistently with nucleation on a linear slipweakening fault, whereas rupture propagation and arrest are treated according to the Griffith criterion. The available stress drop is prescribed as a spatially correlated random field and is shown to potentially sustain a broad range of magnitudes. By decreasing the amplitude of the stress heterogeneities or increasing their correlation length the distribution of earthquake sizes presents a transition from GutenbergRichter to characteristic earthquake behavior. This transition is studied through a mean-field analysis. The bifurcation to characteristic earthquake behavior is sharp, reminiscent of a first-order phase transition. A lower roll-off magnitude observed in the Gutenberg-Richter regime is shown to depend on the correlation length of the available stress drop, rather than being a direct signature of the nucleation process. More generally, we highlight the possible role of the stress correlation length scale on deviations from earthquake source self-similarity. The present reduced model is a building block towards understanding the effect of structural and dynamic fault heterogeneities on the scaling of source parameters and on basic properties of seismicity.

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“…Lavallée and Archuleta (2003) found that the slip distribution of the 1979 Imperial Valley earthquake could be well modeled with a stochastic model assuming power law of k -n , where k is the wavenumber. A stochastic approach has to be taken in the following two cases.…”

Section: Source Models Of the 2010 Canterbury Earthquakementioning

confidence: 99%