Rediscovering Signal Complexity as a Teleseismic Discriminant
- Rocky Mountain Geophysics, Los Alamos, NM (United States)
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
We re-examine the utility of teleseismic seismic complexity discriminants in a multivariate setting using United Kingdom array data. We measure a complexity discriminant taken on array beams by simply taking the logarithm of the ratio of the P wave coda signal to that of the first arriving direct P wave (βCF). The single station complexity discriminant shows marginal performance with shallow earthquakes having more complex signatures than those from explosions or deep earthquakes. However, when combined with the mb – Ms discriminant significant improvements are observed. In particular, signal complexity can be used to improve discrimination performance over mb – Ms alone as well improve differentiation between shallow and deep earthquakes. When complexity discriminants are combined with mb – Ms there is a tendency for explosions, shallow earthquakes and deep earthquakes to form three distinct populations. Importantly, multistation complexity discriminants have false alarm rates similar to those observed for network mb - Ms in support of predictions based on simulations of Bowers (1996).
- Research Organization:
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC05-76RL01830
- OSTI ID:
- 953369
- Report Number(s):
- PNNL-SA-61807; PAGYAV; NN2003000; TRN: US200915%%45
- Journal Information:
- Pure and Applied Geophysics, Vol. 166, Issue 3; ISSN 0033-4553
- Country of Publication:
- United States
- Language:
- English
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