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1 Cecil H. and Ida M. Green Institute
of Geophysics and Planetary Physics
IGPP/University of California, San
Diego
La Jolla, California 92093
(D.K.)
2 U.S. Geological Survey
345
Middlefield Rd.
Menlo Park, California 94025
(J.L.H.)
We estimate the strike and dip of three California fault segments (Calaveras,
Sargent, and a portion of the San Andreas near San Jaun Bautistia) based on
principle component analysis of accurately located microearthquakes. We compare
these fault orientations with two different first-motion focal mechanism
catalogs: the Northern California Earthquake Data Center (NCEDC)
catalog, calculated using the FPFIT algorithm
(Reasenberg and Oppenheimer, 1985),
and a catalog created using the HASH algorithm that tests mechanism
stability relative to seismic velocity model variations and earthquake location
(Hardebeck and Shearer, 2002).
We assume any disagreement (misfit >30° in strike, dip, or rake)
indicates inaccurate focal mechanisms in the catalogs. With this assumption, we
can quantify the parameters that identify the most optimally constrained focal
mechanisms. For the NCEDC/FPFIT catalogs, we find that the best
quantitative discriminator of quality focal mechanisms is the station
distribution ratio (STDR) parameter, an indicator of how the stations
are distributed about the focal sphere. Requiring STDR > 0.65
increases the acceptable mechanisms from 34%37% to 63%68%. This
suggests stations should be uniformly distributed surrounding, rather than
aligning, known fault traces. For the HASH catalogs, the fault plane
uncertainty (FPU) parameter is the best discriminator, increasing the
percent of acceptable mechanisms from 63%78% to 81%83% when
FPU
35°. The overall higher percentage of acceptable
mechanisms and the usefulness of the formal uncertainty in identifying quality
mechanisms validate the HASH approach of testing for mechanism
stability.
Online material: 3D visualization of relocated earthquakes and accuracy of focal mechanisms.
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