Implementation of the Waveform Correlation Event Detection System (WCEDS) Method for Regional Seismic Event Detection in Utah
Abstract
Backprojection techniques are a class of methods for detecting and locating events that have been successfully implemented at local scales for dense networks. This paper develops the framework for applying a backprojection method to detect and locate a range of event sizes across a heteorogeneous regional network. This article extends previous work on the development of a backprojection method for local and regional seismic event detection, the Waveform Correlation Event Detection System (WCEDS). The improvements outlined here make the technique much more flexible for regional earthquake or explosion monitoring. We first explore how the backprojection operator can be formulated using either a travel-time model or a stack of full waveforms, showing that the former approach is much more flexible and can lead to the detection of smaller events, and to significant improvements in the resolution of event parameters. Second, we discuss the factors that influence the grid of event hypotheses used for backprojection, and develop an algorithm for generating suitable grids for networks with variable density. Third, we explore the effect of including different phases in the backprojection operator, showing that the best results for the study region can be obtained using only the Pg phase, and by including termsmore »
- Authors:
-
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Univ. of Utah, Salt Lake City, UT (United States)
- Publication Date:
- Research Org.:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA), Office of Defense Nuclear Nonproliferation
- OSTI Identifier:
- 1477866
- Report Number(s):
- SAND-2018-3624J
Journal ID: ISSN 0037-1106; 662203
- Grant/Contract Number:
- NA0003525
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Bulletin of the Seismological Society of America
- Additional Journal Information:
- Journal Volume: 108; Journal Issue: 6; Journal ID: ISSN 0037-1106
- Publisher:
- Seismological Society of America
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 58 GEOSCIENCES
Citation Formats
Arrowsmith, Stephen, Young, Christopher, and Pankow, Kristine. Implementation of the Waveform Correlation Event Detection System (WCEDS) Method for Regional Seismic Event Detection in Utah. United States: N. p., 2018.
Web. doi:10.1785/0120180097.
Arrowsmith, Stephen, Young, Christopher, & Pankow, Kristine. Implementation of the Waveform Correlation Event Detection System (WCEDS) Method for Regional Seismic Event Detection in Utah. United States. https://doi.org/10.1785/0120180097
Arrowsmith, Stephen, Young, Christopher, and Pankow, Kristine. Tue .
"Implementation of the Waveform Correlation Event Detection System (WCEDS) Method for Regional Seismic Event Detection in Utah". United States. https://doi.org/10.1785/0120180097. https://www.osti.gov/servlets/purl/1477866.
@article{osti_1477866,
title = {Implementation of the Waveform Correlation Event Detection System (WCEDS) Method for Regional Seismic Event Detection in Utah},
author = {Arrowsmith, Stephen and Young, Christopher and Pankow, Kristine},
abstractNote = {Backprojection techniques are a class of methods for detecting and locating events that have been successfully implemented at local scales for dense networks. This paper develops the framework for applying a backprojection method to detect and locate a range of event sizes across a heteorogeneous regional network. This article extends previous work on the development of a backprojection method for local and regional seismic event detection, the Waveform Correlation Event Detection System (WCEDS). The improvements outlined here make the technique much more flexible for regional earthquake or explosion monitoring. We first explore how the backprojection operator can be formulated using either a travel-time model or a stack of full waveforms, showing that the former approach is much more flexible and can lead to the detection of smaller events, and to significant improvements in the resolution of event parameters. Second, we discuss the factors that influence the grid of event hypotheses used for backprojection, and develop an algorithm for generating suitable grids for networks with variable density. Third, we explore the effect of including different phases in the backprojection operator, showing that the best results for the study region can be obtained using only the Pg phase, and by including terms for penalizing early arrivals when evaluating the fit for a given event hypothesis. Fourth, we incorporate two parallel backprojection computations with different distance thresholds to enable the robust detection of both network-wide and small (sub-network-only) events. Finally, the set of improvements are outlined by applying WCEDS to four example events on the University of Utah Seismograph Stations (UUSS) network.},
doi = {10.1785/0120180097},
journal = {Bulletin of the Seismological Society of America},
number = 6,
volume = 108,
place = {United States},
year = {Tue Oct 16 00:00:00 EDT 2018},
month = {Tue Oct 16 00:00:00 EDT 2018}
}
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Figures / Tables:
Table 1: A complete listing of all parameters that must be set for applying WCEDS to detect events, with the corresponding parameters used for the UUSS data analysis provided. Note that $δM$ is only required if running WCEDS using a synthetic image matrix.
Figures / Tables found in this record: