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Annual Meeting - SCEC.org

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Report | <strong>SCEC</strong> Research Accomplishments<br />

Figure 16. Example of CVM evaluation, using the 2008<br />

Chino Hills earthquake. (top) Map-based GOF for SA-2s,<br />

and (bottom) bias of spectral accelerations at 65 stations<br />

for periods 2-10s.<br />

regional seismic hazards assessment.<br />

54 | Southern California Earthquake Center<br />

other <strong>SCEC</strong> CVM's. Multiple CVM's are evaluated at one time, so that<br />

performance of a new CVM can be compared to existing, or prior,<br />

CVM versions. The GOF method includes a series of metrics, such as<br />

PGA, PGV, and spectral accelerations (SA) at various periods (Olsen<br />

and Mayhew 2010).<br />

Finally, we recognize that state-of-the-art velocity models do not<br />

resolve small-scale amplification effects in the near-surface sediments,<br />

possibly introducing bias in earthquake ground motion simulations,<br />

as frequencies increase. Preliminary analysis shows that even simple<br />

and rather weak fractal stochastic inhomogenities imply significant<br />

variations in ground motion amplifications (up to a factor of six or<br />

more) as well as de-amplification, including bands of strong<br />

amplification aligned along the average ray path from a 0-2 Hz<br />

horizontally propagating SH-wave source. Simulations with<br />

vertically incident planar SH-wave sources show that the small-scale<br />

heterogeneities included in the upper ~100m of the sediment column<br />

contribute more to the site effects, as compared to small-scale<br />

heterogeneities buried deeper in the sediments. Thus, the USR Focus<br />

Area is supporting efforts to explore how to establish a realistic<br />

stochastic model of near-surface inhomogeneities by comparison of<br />

earthquake ground motion simulations to data and by directly<br />

mapping the statistical properties of shallow Vs estimates. If<br />

incorporated in the CVMs, such models may improve deterministic<br />

ground motion prediction as supercomputers allow the highest<br />

frequency to increase.<br />

Community Fault Model (CFM)<br />

The <strong>SCEC</strong> Community Fault Model (CFM) is an object-oriented, 3D<br />

representation of more than 140 active faults in Southern California,<br />

and includes direct contributions from more than twenty <strong>SCEC</strong><br />

investigators (Plesch et al., 2007). The model consists of triangulated<br />

surface representations (T-surfs) of major faults, which are defined by<br />

surface geology, seismicity, well logs, seismic reflection profiles, and<br />

geologic cross sections. These 3D fault representations are intended to<br />

support <strong>SCEC</strong> research efforts in fault system modeling and<br />

earthquake rupture propagation, as well as to serve as a basis for<br />

This past year, we completed a major update of the model (CFM v.4.0), which incorporates improvements in 3D fault<br />

representations, a detailed fault surface trace layer, and a new naming and numbering scheme for individual 3D fault models<br />

that allows for direct connections to the USGS/CGS Quaternary Fault database (Qfaults) and other <strong>SCEC</strong> data sets (Nicholson<br />

et al., 2011). Fault representations in CFM are now referenced to the modern WG84 datum and the new surface layer in CFM<br />

allows 3D fault models to be registered to the more detailed Qfaults digital trace maps. Systematic revision of CFM 3D fault<br />

segments was required to ensure compatibility between some previous CFM fault representations and the newer Qfaults<br />

surface traces, as well as by the availability of extensive catalogs of relocated earthquake hypocenters to define better the<br />

subsurface geometry of active faults. New 3D fault representations for major fault zones include the San Andreas from San<br />

G<strong>org</strong>onio Pass to the Salton Sea, the Mecca Hills, San Jacinto, Elsinore-Laguna Salada (including El Mayor-Cucapah), and an<br />

Fernando/Sierra Madre fault systems. In addition, a new <strong>SCEC</strong> fault database hierarchical naming and numbering scheme is<br />

implemented that provides unique identifiers (number, name, abbreviation) for each level of the fault hierarchy under which a<br />

particular fault segment is classified. Levels of fault hierarchy include Fault Area, Fault Zone or System, Fault Section, Fault<br />

Name, Fault Strand or Model, and Fault Component. These additional fault hierarchical levels allow for more flexible

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