Annual Meeting - SCEC.org
Annual Meeting - SCEC.org
Annual Meeting - SCEC.org
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Poster Abstracts | Group 1 – CDM<br />
interferograms (InSAR). We investigate the potential of compliant zones (CZ), areas with reduced<br />
elastic moduli compared to ambient rock, to explain the radar observations. We derive an iterative<br />
procedure that evaluates the three-dimensional deformation due to the presence of faults in an<br />
arbitrary heterogeneous half space, with vertical as well as lateral variations in elastic properties.<br />
The latter are modeled with equivalent body forces and equivalent surface traction in a<br />
homogenized elastic medium. Displacement field in the computational volume is obtained in the<br />
Fourier domain using semi-analytic Greens' functions. We find that CZs in the ECSZ along the<br />
Rodman, the Calico and the Pinto Mountain faults can explain simultaneously InSAR data for the<br />
Landers and the Hector Mine earthquakes. InSAR data require a 60% reduction in effective rigidity<br />
in the Pinto Mountain CZ accompanied by a 7% increase in Poisson's ratio compared to ambient<br />
crust. Large wavelength of LOS displacements around the Pinto Mountain fault is best modeled<br />
with a CZ extending to at least 9km depth. Best fit for the Rodman and the Calico CZs, north of<br />
Galway Dry Lake, is obtained for a 4.5km deep CZ, with a 60% reduction in shear modulus and 0%<br />
and 20% increase in Poisson's ratio for the Calico and the Rodman CZ, respectively. We find that<br />
required effective rigidity reduction in the Calico CZ, south of Galway Dry Lake is less dramatic<br />
than in the northern segment, demonstrating possible along-strike variations of effective elastic<br />
moduli within a long CZ. Best model thickness for the Mojave desert CZ varies between 0.8 and<br />
1.5km. These observations suggest pervasive and widespread damage around active crustal faults.<br />
1-112<br />
MODELING SENSITIVITY OF GPS NETWORKS TO GROUND DEFORMATION IN<br />
SOUTHERN CALIFORNIA Williams NR, and Lohman RB<br />
We generated strain and error models from Global Positioning System (GPS) data for the Southern<br />
California (SoCal) Fault System and quantified the impact of potential new campaign observations.<br />
We explored varying levels of spatial smoothing to determine shear strain and dilation, and<br />
performed Monte Carlo tests to determine the expected variance on these values. Extending the<br />
temporal span of GPS observations for individual stations will decrease model errors and result in<br />
better estimates on strain or other model parameters. This improvement factor can determine<br />
which GPS stations in SoCal would most benefit the geophysical modeling of Southern California<br />
faults if resurveyed. We conducted similar tests on determining slip rate and errors of some of the<br />
major SoCal faults. We converted these results to files viewable in Google Earth and made them<br />
available on a public website for easy distribution and visualization. Future work may include a<br />
comparison to updated models from Crustal Motion Map version 4 to determine the accuracy of<br />
estimated error improvements.<br />
1-113<br />
NEW GEODETIC DATA FOR CRUSTAL DEFORMATION IN THE SAN BERNARDINO<br />
MOUNTAINS Velasquez CM, and McGill SF<br />
Global Positioning System (GPS) data in the vicinity of the San Bernardino Mountains are<br />
minimally existent. At 16 survey sites GPS data were gathered for a time span of twenty-four hours<br />
or more. At remotely located survey sites data were gathered for two to five continuous days.<br />
Differences in rates at the various benchmarks will be used to infer the amount of elastic strain that<br />
is accumulating due to faults in the vicinity. The measurements that have been collected are<br />
currently being processed at the University of Arizona by Rick Bennett and Joshua Spinler. When<br />
combined with prior data collected in 2005, the new data will provide the first GPS velocity vectors<br />
for many parts of the San Bernardino Mountains.<br />
In addition to collecting new GPS data, one-dimensional elastic modeling of data from <strong>SCEC</strong>’s<br />
Crustal Motion Model version 3 (CMM3) was conducted along a transect through the San<br />
128 | Southern California Earthquake Center