Item talk:Q237030
From geokb
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"abstract": "For many earthquake engineering applications, site response is estimated through empirical correlations with the time\u2010averaged shear\u2010wave velocity to 30\u00a0m depth (VS30). These applications therefore depend on the availability of either site\u2010specific\u00a0VS30\u00a0measurements or\u00a0VS30\u00a0maps at local, regional, and global scales. Because\u00a0VS30\u00a0measurements are sparse, a proxy frequently is needed to estimate\u00a0VS30\u00a0at unsampled locations. We present a new\u00a0VS30\u00a0map for California, which accounts for observational constraints from multiple sources and spatial scales, such as geology, topography, and site\u2010specific\u00a0VS30measurements. We apply the geostatistical approach of regression kriging (RK) to combine these constraints for predicting\u00a0VS30. For the\u00a0VS30\u00a0trend, we start with geology\u2010based\u00a0VS30\u00a0values and identify two distinct trends between topographic gradient and the residuals from the geology\u00a0VS30\u00a0model. One trend applies to deep and fine Quaternary alluvium, whereas the second trend is slightly stronger and applies to Pleistocene sedimentary units. The RK framework ensures that the resulting map of California is locally refined to reflect the rapidly expanding database of\u00a0VS30\u00a0measurements throughout California. We compare the accuracy of the new mapping method to a previously developed map of\u00a0VS30\u00a0for California. We also illustrate the sensitivity of ground motions to the new\u00a0VS30\u00a0map by comparing real and scenario ShakeMaps with\u00a0VS30\u00a0values from our new map to those for existingVS30\u00a0maps.",
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