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Group 2 – Tectonic Geodesy | Poster Abstracts<br />
2-008<br />
LARGE EARTHQUAKES, AFTERSHOCKS, AND BACKGROUND SEISMICITY:<br />
ANALYSIS OF INTERSEISMIC AND COSEISMIC SPATIAL SEISMICITY PATTERNS<br />
IN SOUTHERN CALIFORNIA Hauksson E<br />
We associate waveform-relocated background seismicity and aftershocks with the 3D shapes of late<br />
Quaternary fault zones in southern California. Major earthquakes that can slip more than several<br />
meters, aftershocks, and near-fault background seismicity mostly rupture different surfaces within<br />
these fault zones. Major earthquakes rupture along the mapped traces of the late Quaternary faults,<br />
called the principal slip zones (PSZs). Aftershocks occur in the immediate vicinity of the PSZs,<br />
within ±2 km wide fault zones. In contrast, the near-fault background seismicity is accommodated<br />
on a secondary heterogeneous network of small slip surfaces and forms spatially decaying<br />
distributions extending out to distances of ±10 km away from the PSZs. We call the regions where<br />
the enhanced rate of background seismicity occurs, the seismic damage zones. One possible<br />
explanation for the presence of the seismic damage zones and associated seismicity is that they<br />
develop as faults accommodate bends and geometrical irregularities in the PSZs. The seismic<br />
damage zones mature and reach their finite width early in the history of a fault, during the first few<br />
kilometers of cumulative offset. Alternatively, the similarity in width of seismic damage zones<br />
suggests that most fault zones are of almost equal strength, although the amount of cumulative<br />
offset varies widely. It may also depend on the strength of the fault zone, the time since the last<br />
major earthquake as well as other parameters. In addition, the seismic productivity appears to be<br />
influenced by the crustal structure and heat flow, with less active seismic damage zones in area of<br />
low heat flow and thick crust.<br />
2-009<br />
DETAILED P- AND S-WAVE VELOCITY MODELS ALONG THE LARSE II<br />
TRANSECT, SOUTHERN CALIFORNIA Murphy JM, Fuis GS, Ryberg T, Lutter WJ,<br />
Catchings RD, and Goldman MR<br />
Structural details of the crust determined from P-wave velocity models can be improved with Swave<br />
velocity models, and S-wave velocities are needed for model-based predictions of strong<br />
ground motion in southern California. We picked P- and S-wave travel times for refracted phases<br />
from explosive-source shots gathers of the Los Angeles Region Seismic Experiment, Phase II<br />
(LARSE II), and we developed refraction velocity models from these picks using two different<br />
inversion algorithms. Vp/Vs ratios were calculated from the resulting P- and S-wave models<br />
where both models are constrained by ray coverage. The two P-wave velocity models are<br />
compared to each other and to results from forward modeling. Generally, the P-wave inverse and<br />
forward models agree well for velocities lower than 5.0 km/s but only broadly agree with each<br />
other for velocities above 5.0 km/s. Similarly, the S-wave inverse models agree well with each<br />
other for velocities lower than 2.5 km/s but only broadly agree for velocities higher than 2.5 km/s.<br />
The most prominent structures in our S-wave models are two north-dipping low-velocity zones in<br />
the Central Transverse Ranges that we interpret as faults. These low-velocity zones differ<br />
somewhat between the two inversion models, but the Vp/Vs models (one model for each<br />
technique) show these features to be remarkably similar. Interestingly, both Vp/Vs models have<br />
several features that are not visible in either the P- or S-wave models alone. Two of these features<br />
(relatively high Vp/Vs ratios) occur in the vicinity of wells that bottom in “granitic” rocks and we<br />
interpret these high Vp/Vs ratios to indicate that the granitic rocks are highly fractured or even<br />
brecciated. Finally, to evaluate the Southern California Earthquake Center (<strong>SCEC</strong>) Community<br />
Velocity Model (CVM), which predicts Vs based on the Vp model, we compare data from our Vp<br />
and Vp/Vs models to empirical formulas that relate P- to S-wave velocities (see Brocher, 2005).<br />
These empirical curves provide an adequate average relationship between Vp and Vs, but our<br />
2008 <strong>SCEC</strong> <strong>Annual</strong> <strong>Meeting</strong> | 145