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Annual Meeting - SCEC.org

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Poster Abstracts<br />

DYNAMIC RUPTURE SIMULATION WITH A HIGH-ORDER DISCONTINUOUS GALERKIN METHOD ON<br />

UNSTRUCTURED TETRAHEDRAL MESHES (B-053)<br />

C. Pelties, J. de la Puente, J.-P. Ampuero, G. Brietzke, and M. Käser<br />

We will present recent developments concerning the extensions of the arbitrary high-order derivative Discontinuous Galerkin<br />

(ADER-DG) method to solve three dimensional dynamic rupture problems on unstructured tetrahedral meshes. First of all, we<br />

verify our implementation by comparing results of the <strong>SCEC</strong> test case with other numerical methods. An important result of<br />

the benchmark is that the ADER-DG method avoids spurious high-frequency contributions in the slip rate spectra and<br />

therefore does not require artificial Kelvin-Voigt damping or a posteriori filtering of synthetic seismograms.<br />

To demonstrate the capabilities of the high-order accurate ADER-DG scheme on unstructured meshes we use the 1992<br />

Landers earthquake as an example. It represents a complex fault system including branching and six curved fault segments.<br />

Furthermore, topography is respected in the discretized model to capture the surface waves correctly. Strong mesh coarsening<br />

or refinement at areas of interest is applied to keep the computational costs feasible. Finally current problems and further<br />

developments will be discussed.<br />

USE OF INTEGRATED MASTER MULTISPECTRAL IMAGERY AND LIDAR DEM FOR ACTIVE FAULT<br />

DETECTION AND EVALUATION (A-144)<br />

F.G. Perez, W.A. Bryant, J.A. Treiman, C.R. Real, and S.J. Hook<br />

Displacement caused by surface fault rupture associated with large earthquakes not only disrupts infrastructure and damages<br />

natural and built environments, but also constitutes a life safety hazard. The California Geological Survey (CGS) has the<br />

authority and responsibility, under the Alquist-Priolo Earthquake Fault Zoning Act, to identify and map active faults in<br />

California for the purpose of surface rupture hazard identification and mitigation through regulatory zoning.<br />

Mapping and evaluation of active faults is generally accomplished through conventional aerial photo interpretation and field<br />

mapping, which rely on recognizing fault-related geomorphic features and juxtaposition of contrasting rocks, soil, and<br />

geologic structure. Faults covered by vegetation or concealed by young alluvium will most likely not be detected by this<br />

method. Furthermore, spatial accuracy of photo-interpreted fault traces is limited to the accuracy, scale, and method of<br />

transfer to conventional topographic base maps, which generally lack the spatial accuracy of geolocated imagery.<br />

The inherent limitations of conventional active fault mapping are expected to be overcome by using integrated MASTER and<br />

LiDAR data. MASTER is a multispectral imagery with 50 spectral bands ranging from visible to thermal region of the<br />

electromagnetic spectrum. LiDAR on the other hand is a laser-based technology with very high positional accuracy, sub-meter<br />

resolution and capability to filter out vegetation. MASTER and LiDAR are integrated via data transformation/fusion and the<br />

resulting fused imagery are utilized to interpret active faults through recognition of fault features associated with different<br />

distinctive properties related to geology, drainage, vegetation, hydrology, thermal, anthropogenic, and topography. The<br />

completeness and accuracy of the fault interpretation is gauged by overlaying it to a baseline data of previously mapped fault<br />

traces.<br />

The research study, supported by a NASA grant, evaluated a well-mapped, 26-km reach of the southern San Andreas Fault<br />

Zone in the Antelope Valley near Palmdale.<br />

IDENTIFYING AND LOCATING TECTONIC TREMOR BENEATH THE SAN ANDREAS FAULT NEAR<br />

PARKFIELD, CA, WITH THE PASO ARRAY (B-047)<br />

D. Peterson, C. Thurber, E. Montgomery-Brown, J. Brown, and D. Shelly<br />

Tectonic tremor is a weak but persistent shaking of the Earth that was first discovered in subduction zones and later found<br />

beneath the San Andreas Fault (SAF). Tremor events represent spasmodic slip on the deep extension of the SAF, occurring at a<br />

depth of about 20-25 kilometers. Tremor occurs deeper than the nearby regular earthquakes, which can be found at maximum<br />

depths of 12-15 kilometers. Tremor is characterized by bursts of low frequency and/or very low frequency earthquakes<br />

(LFE/VLF) with dominant energy in the 1-10 Hz range. Tremor tells us about fault slip at depth in both space and time by<br />

illuminating the fault down to about the base of the crust.<br />

In the pursuit of deriving information about deep fault behavior and crustal structure, we are analyzing continuous data from<br />

the previously untapped Parkfield Area Seismic Observatory (PASO) temporary array, operated in 2000-2002 and 2004-2006.<br />

We started the identification process by correlating templates of known events from a nearby station array based on an<br />

2011 <strong>SCEC</strong> <strong>Annual</strong> <strong>Meeting</strong> | 215

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