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Title: Regional Multi-station Discriminants: Magnitude, Distance and Amplitude Corrections and Sources of Error

Journal Article · · Bulletin of the Seismological Society of America
OSTI ID:952081

Magnitude, distance and amplitude corrections (MDAC) made to observed regional amplitudes are necessary so that what remains in the corrected amplitude is mostly information about the seismic source-type. Corrected amplitudes can be used in ratios to discriminate between earthquakes and explosions. However, there remain source effects such as those due to depth, focal mechanism, local material property and apparent stress variability that cannot easily be determined and applied as amplitude corrections. We develop a mathematical model to capture these near source effects as random (unknown) giving an error partition of three sources: model inadequacy, station noise and amplitude correlations. This mathematical model is the basis for a general multi-station regional discriminant formulation. The standard error of the discriminant includes these three sources of error in its formulation. The developed methods are demonstrated with a collection of Nevada Test Site (NTS) events observed at regional stations. Importantly, the proposed formulation includes all corrected amplitude information through the construction of multi-station discriminants. In contrast, previous studies have only computed discriminants from single stations having both P and S amplitudes. The proposed multi-station approach has similarities to the well established m{sub b} versus M{sub s} discriminant and represents a new paradigm for the regional discrimination problem.

Research Organization:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Organization:
USDOE
DOE Contract Number:
W-7405-ENG-48
OSTI ID:
952081
Report Number(s):
LLNL-JRNL-407523; BSSAAP; TRN: US200913%%362
Journal Information:
Bulletin of the Seismological Society of America, Vol. 99, Issue 2A; ISSN 0037-1106
Country of Publication:
United States
Language:
English