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Title: Comparing EGF Methods for Estimating Corner Frequency and Stress Drop from P-wave Spectra

Journal Article · · Journal of Geophysical Research. Solid Earth
DOI:https://doi.org/10.1029/2018JB016957· OSTI ID:1508559
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [3];  [1]
  1. Univ. of California, San Diego, CA (United States)
  2. Boston Univ., MA (United States)
  3. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
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Empirical Green's functions (EGF) are widely applied to correct earthquake spectra for attenuation and other path effects in order to estimate corner frequencies and stress drops, but these source parameter estimates often exhibit poor agreement between different studies. We investigate this issue by analyzing a compact cluster of over 3000 aftershocks of the 1992 Landers earthquake. We apply and compare two different analysis and modeling methods: (1) the spectral decomposition and global EGF fitting approach, and (2) a more traditional EGF method of modeling spectral ratios. We find that spectral decomposition yields event terms that are consistent with stacks of spectral ratios for individual events, but source-parameter estimates nonetheless vary between the methods. The main source of differences comes from the modeling approach used to estimate the EGF. The global EGF-fitting approach suffers from parameter tradeoffs among the absolute stress drop, the stress-drop scaling with moment, and the high-frequency falloff rate, but has the advantage that the relative spectral shapes and stress drops among the different events in the cluster are well-resolved even if their absolute levels are not. The spectral-ratio approach solves for a different EGF for each target event without imposing any constraint on the corner frequency, fc, of the smaller events, and so can produce biased results for target-event fc. Placing constraints on the small-event fc improves the performance of the spectral-ratio method and allows the two methods to yield very similar results.

Research Organization:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
Grant/Contract Number:
89233218CNA000001
OSTI ID:
1508559
Report Number(s):
LA-UR-18-30681
Journal Information:
Journal of Geophysical Research. Solid Earth, Vol. 124, Issue 4; ISSN 2169-9313
Publisher:
American Geophysical UnionCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 63 works
Citation information provided by
Web of Science

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58 GEOSCIENCES
GF estimation
corner frequency
stress drop