The 1952 Kern County, California earthquake: A case study of issues in the analysis of historical intensity data for estimation of source parameters
| Autor: | Bruce D. Spencer, Susan E. Hough, Edward M. Brooks, Leah Salditch, Madeleine C. Lucas, James S. Neely, Seth Stein |
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| Rok vydání: | 2018 |
| Předmět: |
Estimation
geography geography.geographical_feature_category 010504 meteorology & atmospheric sciences Physics and Astronomy (miscellaneous) Calibration (statistics) Magnitude (mathematics) Astronomy and Astrophysics Fault (geology) 010502 geochemistry & geophysics 01 natural sciences Geophysics Seismic hazard Space and Planetary Science Earthquake hazard Geological survey Intensity (heat transfer) Seismology Geology 0105 earth and related environmental sciences |
| Zdroj: | Physics of the Earth and Planetary Interiors. 283:140-151 |
| ISSN: | 0031-9201 |
| DOI: | 10.1016/j.pepi.2018.08.007 |
| Popis: | Seismic intensity data based on first-hand accounts of shaking give valuable insight into historical and early instrumental earthquakes. Comparing an observed intensity distribution to intensity-prediction models based on modern calibration events allows the magnitude to be estimated for many historic earthquakes. Magnitude estimates can also potentially be refined for earthquakes for which limited instrumental data are available. However, the complicated nature of macroseismic data and the methods used to collect and interpret the data introduce significant uncertainties. In this paper, we illustrate these challenges and possible solutions using the 1952 Kern County, California, earthquake as a case study. Published estimates of its magnitude vary from MW 7.2–7.5, making it possibly the second largest in California during the 20th century. We considered over 1100 first-hand reports of shaking, supplemented with other data, and inferred the magnitude in several ways using intensity prediction equations, yielding a preferred intensity magnitude MI 7.2 ± 0.2, where the uncertainty reflects our judgement. The revised intensity distribution reveals stronger shaking on the hanging wall, south of the surface expression of the White Wolf fault, than on the footwall. Characterizing the magnitude and shaking distribution of this early instrumental earthquake can help improve estimation of the seismic hazard of the region. Such reinterpreted intensities for historic earthquakes, combined with U.S. Geological Survey (USGS) Did You Feel It? data for more recent events, can be used to produce a uniform shaking dataset with which earthquake hazard map performance can be assessed. |
| Databáze: | OpenAIRE |
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