![]() The resulting PGV is fractal over the same spatial frequencies as the Vs30 data sets associated with their respective models. We configured finite-difference wave propagation models at 0.5 Hz with LLNL's E3D code, utilizing the Parcel Map as input parameters to compute a PGV data set from a scenario earthquake (Black Hills M6.5). The spatial spectra possess the same fractal dimension in the N-S and the E-W directions, indicating isotropic scale invariance. Based on plots of spatial power spectra, the Parcel Map appears to be fractal over the second and third decades, in kilometers. Plotting a histogram of the Parcel Map 30-meter depth-averaged shear velocity (Vs30) values shows the data to approximately fit a bimodal normal distribution with μ1 = 400 m/s, σ1 = 76 m/s, μ2 = 790 m/s, σ2 = 149 m/s, and p = 0.49., where μ is the mean, σ is standard deviation, and p is the probability mixing factor for the bimodal distribution. We then investigate these spatial statistics from the PGV results computed from two geotechnical models that incorporate the Parcel Map as parameters. We analyze elementary spatial statistical properties of the Parcel Map, along with calculating its spatial variability. Las Vegas Valley is a basin with similar geologic properties to some areas of Southern California. ![]() The Clark County Parcel Map provides us with a data set of geotechnical velocities in Las Vegas Valley, at an unprecedented level of detail. When deterministically modeling the propagation of seismic waves, shallow shear-wave velocity plays a crucial role in predicting shaking effects such as peak ground velocity (PGV).
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