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Description
Seismic event depth is used for event characterization and location and is estimated using the vertical component of the velocity at the source and half the time interval between a direct P seismic phase and a similar shape echo, reflected from the surface, named depth phase or pP. The signal-echo separation can be estimated with cepstral methods designed for shallow-event cases when the P and pP seismic phases are not well-separated.
Our cepstral analysis method named CWAM1.0 used homomorphic deconvolution to retrieve the signal and echo, and proposed fifteen metrics to estimate the solution credibility. Because CWAM1.0 involves long and tedious trial-and-error analysis to find the best input analysis window parameters, the objective of this study was to design and test a semi-automatic depth estimation set of algorithms named CAT1.0, with the ultimate goal of building an automatic cepstral analysis tool to be applied on events with depth less than 3 km. The tool is tested in this study on seismic waveforms from a series of well-located Nevada Test Site explosions.
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The objective of this study was to design and test a semi-automatic depth estimation set of algorithms, with the ultimate goal of building an automatic cepstral analysis tool to be applied on events with depth less than 3 km.
