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Please use this identifier to cite or link to this item: http://hdl.handle.net/10136/262

Title: An adaptive, automatic phase-picking and epicenter locating program based on waveform cross-correlation and its application for processing seismic data in New Mexico
Authors: Yang, Wenzheng
Issue Date: 21-Jan-2009
Abstract: It is widely observed that seismic sources occurring very close to each other can share very similar waveforms. Using this property, an adaptive, automatic phase-picking and epicenter-locating program based on waveform cross-correlation has been developed and applied to process daily seismic data of New Mexico. The core of this program is a reference seismic event database, from which the phase and location information of a new event can be inferred. With a sufficiently complete reference seismic dataset, this program should produce robust initial seismic phase estimates while greatly improving the handling of false triggers due to telemetry or other transient noise. These automatic results are designed to be as precise as the manually processed results. 160 well-picked earthquakes and mining explosions in New Mexico during 1997-2003 were collected as an initial reference event set covering most of the historically active source regions in the state. Each waveform in the reference event set has a high signal-to-noise ratio and accurately-picked P and S phases. Two methods were developed to automatically calculate waveform cross-correlation phase-picking and the location of epicenter. The first, waveform-pair cross-correlation matching method correlates the most similar waveform from the reference dataset to each waveform of a new event station by station and assigns the corresponding seismic phases to the new waveform according to crosscorrelation lag. Note that a new event may be correlated with different reference events at different stations. The second, event-pair cross-correlation matching method correlates the most similar event from the reference dataset to the new event by stacking the cross-correlation curves of all common station-waveform-pairs. The second method provides more robust results than the first method. Due to the concentration of seismic stations in the Socorro area, an “attracting” problem developed when the event-pair cross-correlation matching method was applied to process seismic data of New Mexico. This problem happened when the above method construed distant events to be local ones, because seismic events occurring more than 200 km from Socorro usually have weak S-phases and are therefore identified as seismic events from the Socorro area by the event-pair cross-correlation matching method. To nullify this problem, the spectrogram event-pair cross-correlation matching method was developed. This method matches event-pair in the frequency domain, decreasing the effect of “attracting” phenomenon. This works because within the frequency band of 6-10Hz, the energy of S-phase for local events is prominent and the background noise energy is very small. The computer program (PLRR) incorporating these methods has been developed under Matseis/Matlab (developed at the Sandia National Laboratories) in the UNIX environment. It is used to detect initial seismic phases and identify locations of local seismic events in New Mexico from 2000 to 2004. Manual phase repicking and epicenter relocating are applied to the results given by this program to produce a final, reviewed catalogue. If there is a new, high signal-to-noise event that is incorrectly located by PLRR (as determined by the review process), it will be added into the reference dataset. The accuracy of phasepicking and epicenter-locating thus improves as more data are processed.
URI: http://hdl.handle.net/10136/262
Appears in Collections:Independent Studies

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