Physics – Geophysics
Scientific paper
Oct 2000
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2000georl..27.3401k&link_type=abstract
Geophysical Research Letters, Volume 27, Issue 20, p. 3401-3404
Physics
Geophysics
7
Mathematical Geophysics: Inverse Theory, Seismology: Earthquake Parameters, Seismology: Nuclear Explosion Seismology, Seismology: Theory And Modeling
Scientific paper
The full characterization of a seismic source requires the specification of the hypocentre location and the source mechanism. The non-linear inversion is accomplished in two stages using the Neighborhood Algorithm (NA), a direct search method in parameter space which is able to preferentially sample those regions with least data misfit; there are just two control parameters and no differentiation is employed. The first step is hypocentre location using a 4-D search space and a focussed search strategy. The second step is waveform inversion of the early part of P and S wavetrains to refine source depth and extract the source mechanism. With a moment tensor representation, this second stage explores an 8-D parameter space. For both the hypocentre and source mechanism inversion the NA method provides rapid and effective results with information from just a few stations, as illustrated with an event in southern Xinjiang.
Kennett Brian L. N.
Marson-Pidgeon Katrina
Sambridge M. S.
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