Physics – Geophysics
Scientific paper
Mar 2003
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2003georl..30e..49l&link_type=abstract
Geophysical Research Letters, Volume 30, Issue 5, pp. 49-1, CiteID 1245, DOI 10.1029/2002GL015839
Physics
Geophysics
15
Mathematical Geophysics: Modeling, Seismology: Earthquake Dynamics And Mechanics, Seismology: Theory And Modeling, Mathematical Geophysics: Fractals And Multifractals
Scientific paper
Finite-fault source inversions reveal the spatial complexity of earthquake slip or prestress distribution over the fault surface. In this paper we discuss a stochastic model that reproduces the spatial variability and the long-range spatial correlation of the slip distribution of the 1979 Imperial Valley earthquake. We have found that stochastic models based on non-Gaussian distributions are better suited to describe the spatial variability of the slip amplitude over the fault. We also show that a stochastic modeling of the slip amplitude based on a Gaussian distribution fails to reproduce the spatial variability observed in the original slip distribution. The stochastic models can be used to deduce ground motion from other earthquakes statistically similar to Imperial Valley.
Archuleta Ralph J.
Lavallée Daniel
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