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Annual Meeting - SCEC.org

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Poster Abstracts<br />

2011 LONG BEACH/SIGNAL HILL, CA SEISMIC STUDY (B-076)<br />

D.D. Hollis<br />

Presented is an overview, maps and data of a recent active and passive seismic study recorded by a dense seismic network in<br />

Long Beach, California. The network consists of approximately 5,000 short-period vertical sensors covering a 7 by 10 km area,<br />

with an average station spacing of 100m. The network recorded continuously (24 hours/day) for a period of 6 months. The<br />

primary goal of the survey was to collect 3D reflection seismic data over the Long Beach Oil Field. Another goal of the survey<br />

was to collect passive seismic for basic earthquake and exploration seismology research.<br />

NEAR REAL-TIME ESTIMATION OF VELOCITY GRADIENT TENSOR FIELDS FOR CONTINUOUS<br />

MONITORING IN SOUTHERN CALIFORNIA (B-143)<br />

W.E. Holt, G. Shcherbenko, and E. Caruso<br />

We present test results of a geodetic network processing system designed to detect anomalous strain transients. This work is a<br />

first step in the development of a continuous, near-real-time monitoring system for Southern California. The modeling<br />

procedure consists of interpolating velocities within a region to estimate the velocity gradient tensor field. These velocities are<br />

time-dependent estimates of velocity obtained from CGPS data using a simple moving average filter, while also removing<br />

seasonal signal estimates. Time dependent velocities can be output at any regular time interval (e.g., daily, weekly) and the<br />

associated velocity gradient tensor field for Southern California can then be estimated for each respective epoch.<br />

Regularization of the solution for Southern California consists of obtaining the sharpest estimate of strain rates possible that<br />

can be supported by the CGPS data. The smoothing of the strain rate solution is controlled through optimization of a<br />

functional in a formal least-squares inversion. Both the transient detection exercise results, along with results from real CGPS<br />

data, are presented. Results to date suggest that the method is well-suited for uncovering transients following past real<br />

earthquakes, as well as transients within the blind test exercise that involve extended periods of slow slip over long-time<br />

periods of several years. Presently further testing and refinement of the methodology is necessary to enable detection of<br />

transients that occur over shorter time periods of 2 – 6 months.<br />

NUMERICAL MODELING OF INTERSEISMIC EARTHQUAKE-INDUCED VERTICAL MOTION<br />

ASSOCIATED WITH THE SAN ANDREAS FAULT SYSTEM (B-145)<br />

B.P. Hooks, B.R. Smith-Konter, and G. Thornton<br />

An accurate representation of vertical motion along active plate boundaries is a critical component of earthquake hazard<br />

models, as the accumulation of strain and vertical displacement can greatly affect the strength of the crust, and therefore, the<br />

associated seismic hazard. However, analysis of vertical deformation is rarely done due to the large uncertainty in the<br />

geodetic datasets. Here we present 3D numerical models that reproduce the strain patterns associated with the San Andreas<br />

and subsidiary faults. Our models utilize a commercial finite difference code (FLAC3D) that simulates the deformation of<br />

Earth material using mechanical and thermal constitutive relationships. We use a temperature-dependent viscous model for<br />

the lower crust (> 350 C) and plastic upper crust (Mohr-Coulomb with strain softening criteria). Model temperature controls<br />

the thickness of the upper crust and the viscosity of the lower crust, and therefore the overall strength of the model.<br />

Deformation, including the formation of large-scale fault systems, is driven by a basal shear consistent with the <strong>SCEC</strong> Crustal<br />

Motion Model. The model reproduces first-order characteristic horizontal velocities, strain rates, and stress rates associated<br />

with the San Andreas Fault System that compare favorably to reported measurements and previous modeling results.<br />

Additionally, vertical displacement and velocity results reproduce first-order vertical offset marker and tide gauge datasets<br />

and agree well with interseismic vertical deformation produced by a 3D semi-analytical model that applies geologic strike-slip<br />

rates along active faults. Both models suggest three primary areas of the San Andreas Fault System where vertical motion is<br />

significant: the Salton Trough, Death Valley, and the Big Bend. The Salton Trough and Death Valley are areas of subsidence<br />

controlled by crustal transtension resulting in thinned and weakened crust with in a lower potential to accumulate large<br />

stresses. The Big Bend region has uplifted due to a transpressional restraining bend. The substantial uplift and evolving<br />

crustal stress conditions within this area would have thickened and strengthened the crust resulting in relatively larger stress<br />

accumulation. The long-term effect of the non-linear feedbacks between vertical deformation, thermal advection, and crustal<br />

rheology causes a dynamic link between geomorphic signal, strain accumulation and long-term seismicity.<br />

178 | Southern California Earthquake Center

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