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Title: Evaluation of a pair-based, joint-likelihood association approach for regional infrasound event identification

Abstract

SUMMARY A Bayesian framework for the association of infrasonic detections is presented and evaluated for analysis at regional propagation scales. A pair-based, joint-likelihood association approach is developed that identifies events by computing the probability that individual detection pairs are attributable to a hypothetical common source and applying hierarchical clustering to identify events from the pair-based analysis. The framework is based on a Bayesian formulation introduced for infrasonic source localization and utilizes the propagation models developed for that application with modifications to improve the numerical efficiency of the analysis. Clustering analysis is completed using hierarchical analysis via weighted linkage for a non-Euclidean distance matrix defined by the negative log-joint-likelihood values. The method is evaluated using regional synthetic data with propagation distances of hundreds of kilometres in order to study the sensitivity of the method to uncertainties and errors in backazimuth and time of arrival. The method is found to be robust and stable for typical uncertainties, able to effectively distinguish noise detections within the data set from those in events, and can be made numerically efficient due to its ease of parallelization.

Authors:
 [1];  [1];  [1];  [1]
  1. Los Alamos National Laboratory, Earth & Environmental Science Division, Los Alamos, NM 87545, USA
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1606270
Alternate Identifier(s):
OSTI ID: 1699480
Report Number(s):
LA-UR-19-28292
Journal ID: ISSN 0956-540X
Grant/Contract Number:  
89233218CNA000001
Resource Type:
Published Article
Journal Name:
Geophysical Journal International
Additional Journal Information:
Journal Name: Geophysical Journal International Journal Volume: 221 Journal Issue: 3; Journal ID: ISSN 0956-540X
Publisher:
Oxford University Press
Country of Publication:
United Kingdom
Language:
English
Subject:
58 GEOSCIENCES; earthquake monitoring and test-ban treaty verification; acoustic properties; wave propagation; statistical methods; probability distributions

Citation Formats

Blom, Philip, Euler, Garrett, Marcillo, Omar, and Dannemann Dugick, Fransiska. Evaluation of a pair-based, joint-likelihood association approach for regional infrasound event identification. United Kingdom: N. p., 2020. Web. doi:10.1093/gji/ggaa105.
Blom, Philip, Euler, Garrett, Marcillo, Omar, & Dannemann Dugick, Fransiska. Evaluation of a pair-based, joint-likelihood association approach for regional infrasound event identification. United Kingdom. doi:https://doi.org/10.1093/gji/ggaa105
Blom, Philip, Euler, Garrett, Marcillo, Omar, and Dannemann Dugick, Fransiska. Mon . "Evaluation of a pair-based, joint-likelihood association approach for regional infrasound event identification". United Kingdom. doi:https://doi.org/10.1093/gji/ggaa105.
@article{osti_1606270,
title = {Evaluation of a pair-based, joint-likelihood association approach for regional infrasound event identification},
author = {Blom, Philip and Euler, Garrett and Marcillo, Omar and Dannemann Dugick, Fransiska},
abstractNote = {SUMMARY A Bayesian framework for the association of infrasonic detections is presented and evaluated for analysis at regional propagation scales. A pair-based, joint-likelihood association approach is developed that identifies events by computing the probability that individual detection pairs are attributable to a hypothetical common source and applying hierarchical clustering to identify events from the pair-based analysis. The framework is based on a Bayesian formulation introduced for infrasonic source localization and utilizes the propagation models developed for that application with modifications to improve the numerical efficiency of the analysis. Clustering analysis is completed using hierarchical analysis via weighted linkage for a non-Euclidean distance matrix defined by the negative log-joint-likelihood values. The method is evaluated using regional synthetic data with propagation distances of hundreds of kilometres in order to study the sensitivity of the method to uncertainties and errors in backazimuth and time of arrival. The method is found to be robust and stable for typical uncertainties, able to effectively distinguish noise detections within the data set from those in events, and can be made numerically efficient due to its ease of parallelization.},
doi = {10.1093/gji/ggaa105},
journal = {Geophysical Journal International},
number = 3,
volume = 221,
place = {United Kingdom},
year = {2020},
month = {3}
}

Journal Article:
Free Publicly Available Full Text
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DOI: https://doi.org/10.1093/gji/ggaa105

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Works referenced in this record:

Could the IMS Infrasound Stations Support a Global Network of Small Aperture Seismic Arrays?
journal, June 2015

  • Gibbons, Steven J.; Kværna, Tormod; Mykkeltveit, Svein
  • Seismological Research Letters, Vol. 86, Issue 4
  • DOI: 10.1785/0220150068

Using physics-based priors in a Bayesian algorithm to enhance infrasound source location
journal, October 2013

  • Marcillo, Omar; Arrowsmith, Stephen; Whitaker, Rod
  • Geophysical Journal International, Vol. 196, Issue 1
  • DOI: 10.1093/gji/ggt353

Development of a robust and automated infrasound event catalogue using the International Monitoring System
journal, January 2015

  • Arrowsmith, S.; Euler, G.; Marcillo, O.
  • Geophysical Journal International, Vol. 200, Issue 3
  • DOI: 10.1093/gji/ggu486

A novel progressive signal association algorithm for detecting teleseismic/network-outside events using regional seismic networks
journal, April 2015

  • Jin, Ping; Pan, Changzhou; Zhang, Chengliu
  • Geophysical Journal International, Vol. 201, Issue 3
  • DOI: 10.1093/gji/ggv113

Infrasonic Signal Detection and Source Location at the Prototype International Data Centre
journal, March 2002


Infrasound Detection of Large Mining Blasts in Kazakstan
journal, March 2002


An automatic seismic event processing for detection and location: The P.M.C.C. Method
journal, May 1995


False Event Screening Using Data Mining in Historical Archives
journal, March 2012

  • Draelos, T. J.; Procopio, M. J.; Lewis, J. E.
  • Seismological Research Letters, Vol. 83, Issue 2
  • DOI: 10.1785/gssrl.83.2.267

The Development of Global Probabilistic Propagation Look-Up Tables for Infrasound Celerity and Back-Azimuth Deviation
journal, October 2014

  • Morton, E. A.; Arrowsmith, S. J.
  • Seismological Research Letters, Vol. 85, Issue 6
  • DOI: 10.1785/0220140124

Bayesian characterization of explosive sources using infrasonic signals
journal, June 2018

  • Blom, Philip S.; Dannemann, Fransiska K.; Marcillo, Omar E.
  • Geophysical Journal International, Vol. 215, Issue 1
  • DOI: 10.1093/gji/ggy258

An automatic multichannel correlator
journal, January 1963

  • Brown, Robert F.
  • Journal of Research of the National Bureau of Standards, Section C: Engineering and Instrumentation, Vol. 67C, Issue 1
  • DOI: 10.6028/jres.067C.004

GLASS3: A Standalone Multiscale Seismic Detection Associator
journal, May 2019

  • Yeck, William L.; Patton, John M.; Johnson, Caryl E.
  • Bulletin of the Seismological Society of America, Vol. 109, Issue 4
  • DOI: 10.1785/0120180308

Improved Bayesian Infrasonic Source Localization for regional infrasound
journal, October 2015

  • Blom, Philip S.; Marcillo, Omar; Arrowsmith, Stephen J.
  • Geophysical Journal International, Vol. 203, Issue 3
  • DOI: 10.1093/gji/ggv387

Atmospheric absorption in the atmosphere up to 160 km
journal, March 2004

  • Sutherland, Louis C.; Bass, Henry E.
  • The Journal of the Acoustical Society of America, Vol. 115, Issue 3
  • DOI: 10.1121/1.1631937

Pairwise Association of Seismic Arrivals with Convolutional Neural Networks
journal, January 2019

  • McBrearty, Ian W.; Delorey, Andrew A.; Johnson, Paul A.
  • Seismological Research Letters, Vol. 90, Issue 2A
  • DOI: 10.1785/0220180326

Modeling and observations of an elevated, moving infrasonic source: Eigenray methods
journal, April 2017

  • Blom, Philip; Waxler, Roger
  • The Journal of the Acoustical Society of America, Vol. 141, Issue 4
  • DOI: 10.1121/1.4980096

PhaseLink: A Deep Learning Approach to Seismic Phase Association
journal, January 2019

  • Ross, Zachary E.; Yue, Yisong; Meier, Men‐Andrin
  • Journal of Geophysical Research: Solid Earth, Vol. 124, Issue 1
  • DOI: 10.1029/2018JB016674

Earthquake Fingerprints: Extracting Waveform Features for Similarity-Based Earthquake Detection
journal, October 2018


Pickless Event Detection and Location: The Waveform Correlation Event‐Detection System (WCEDS) Revisited
journal, July 2016

  • Arrowsmith, Stephen; Young, Christopher; Ballard, Sanford
  • Bulletin of the Seismological Society of America, Vol. 106, Issue 5
  • DOI: 10.1785/0120160018

Designing a Network-Based Earthquake Early Warning Algorithm for California: ElarmS-2
journal, December 2013

  • Serdar Kuyuk, H.; Allen, R. M.; Brown, H.
  • Bulletin of the Seismological Society of America, Vol. 104, Issue 1
  • DOI: 10.1785/0120130146

The Temporal Morphology of Infrasound Propagation
journal, March 2010

  • Drob, Douglas P.; Garcés, Milton; Hedlin, Michael
  • Pure and Applied Geophysics, Vol. 167, Issue 4-5
  • DOI: 10.1007/s00024-010-0080-6

A Bayesian framework for infrasound location
journal, April 2010


The Seismoacoustic Wavefield: a new Paradigm in Studying Geophysical Phenomena
journal, January 2010

  • Arrowsmith, Stephen J.; Johnson, Jeffrey B.; Drob, Douglas P.
  • Reviews of Geophysics, Vol. 48, Issue 4
  • DOI: 10.1029/2010RG000335

A New Method for Producing Automated Seismic Bulletins: Probabilistic Event Detection, Association, and Location
journal, September 2015

  • Draelos, Timothy J.; Ballard, Sanford; Young, Christopher J.
  • Bulletin of the Seismological Society of America, Vol. 105, Issue 5
  • DOI: 10.1785/0120150099

NET-VISA: Network Processing Vertically Integrated Seismic Analysis
journal, March 2013

  • Arora, N. S.; Russell, S.; Sudderth, E.
  • Bulletin of the Seismological Society of America, Vol. 103, Issue 2A
  • DOI: 10.1785/0120120107

Regional monitoring of infrasound events using multiple arrays: application to Utah and Washington State
journal, October 2008