skip to main content
DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Network sensitivity solutions for regional moment-tensor inversions

Abstract

Well-resolved moment-tensor solutions reveal information about the sources of seismic waves. In this paper,we introduce a newly of assessing confidence in the regional full moment-tensor inversion via the introduction of the network sensitivity solution (NSS). The NSS takes into account the unique station distribution, frequency band, and signal-to-noise ratio of a given event scenario. The NSS compares both a hypothetical pure source (for example, an explosion or an earthquake) and the actual data with several thousand sets of synthetic data from a uniform distribution of all possible sources. The comparison with a hypothetical pure source provides the theoretically best-constrained source-type distribution for a given set of stations; and with it, one can determine whether further analysis with the data is warranted. The NSS that employs the actual data gives a direct comparison of all other source types with the best fit source. In this way, one can choose a threshold level of fit in which the solution is comfortably constrained. The method is tested for the well-recorded nuclear test, JUNCTION, at the Nevada Test Site. Sources that fit comparably well to a hypothetical pure explosion recorded with no noise at the JUNCTION data stations have a large volumetric component andmore » are not described well by a double-couple (DC) source. The NSS using the real data from JUNCTION is even more tightly constrained to an explosion because the data contain some energy that precludes fitting with any type of deviator source. We also calculate the NSS for the October 2006 North Korea test and a nearby earthquake, where the station coverage is poor and the event magnitude is small. As a result, the earthquake solution is very well fit by a DC source, and the best-fit solution to the nuclear test (Mw 4.1) is dominantly explosion.« less

Authors:
 [1];  [2];  [1]
  1. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  2. Berkeley Seismological Lab., Berkeley, CA (United States)
Publication Date:
Research Org.:
Univ. of California, Berkeley, CA (United States)
Sponsoring Org.:
USDOE
Contributing Org.:
Lawrence Livermore National Laboratory
OSTI Identifier:
1332988
Grant/Contract Number:  
FC52-06NA27324
Resource Type:
Accepted Manuscript
Journal Name:
Bulletin of the Seismological Society of America
Additional Journal Information:
Journal Volume: 100; Journal Issue: 5A; Journal ID: ISSN 0037-1106
Publisher:
Seismological Society of America
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES

Citation Formats

Ford, Sean R., Dreger, Douglas S., and Walter, William R. Network sensitivity solutions for regional moment-tensor inversions. United States: N. p., 2010. Web. doi:10.1785/0120090140.
Ford, Sean R., Dreger, Douglas S., & Walter, William R. Network sensitivity solutions for regional moment-tensor inversions. United States. doi:10.1785/0120090140.
Ford, Sean R., Dreger, Douglas S., and Walter, William R. Mon . "Network sensitivity solutions for regional moment-tensor inversions". United States. doi:10.1785/0120090140. https://www.osti.gov/servlets/purl/1332988.
@article{osti_1332988,
title = {Network sensitivity solutions for regional moment-tensor inversions},
author = {Ford, Sean R. and Dreger, Douglas S. and Walter, William R.},
abstractNote = {Well-resolved moment-tensor solutions reveal information about the sources of seismic waves. In this paper,we introduce a newly of assessing confidence in the regional full moment-tensor inversion via the introduction of the network sensitivity solution (NSS). The NSS takes into account the unique station distribution, frequency band, and signal-to-noise ratio of a given event scenario. The NSS compares both a hypothetical pure source (for example, an explosion or an earthquake) and the actual data with several thousand sets of synthetic data from a uniform distribution of all possible sources. The comparison with a hypothetical pure source provides the theoretically best-constrained source-type distribution for a given set of stations; and with it, one can determine whether further analysis with the data is warranted. The NSS that employs the actual data gives a direct comparison of all other source types with the best fit source. In this way, one can choose a threshold level of fit in which the solution is comfortably constrained. The method is tested for the well-recorded nuclear test, JUNCTION, at the Nevada Test Site. Sources that fit comparably well to a hypothetical pure explosion recorded with no noise at the JUNCTION data stations have a large volumetric component and are not described well by a double-couple (DC) source. The NSS using the real data from JUNCTION is even more tightly constrained to an explosion because the data contain some energy that precludes fitting with any type of deviator source. We also calculate the NSS for the October 2006 North Korea test and a nearby earthquake, where the station coverage is poor and the event magnitude is small. As a result, the earthquake solution is very well fit by a DC source, and the best-fit solution to the nuclear test (Mw 4.1) is dominantly explosion.},
doi = {10.1785/0120090140},
journal = {Bulletin of the Seismological Society of America},
number = 5A,
volume = 100,
place = {United States},
year = {2010},
month = {9}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record

Citation Metrics:
Cited by: 21 works
Citation information provided by
Web of Science

Save / Share:

Works referencing / citing this record:

Nonlinear inversion of tilt-affected very long period records of explosive eruptions at Fuego volcano: INVERSION OF TILT-AFFECTED VLP EVENTS
journal, October 2016

  • Waite, Gregory P.; Lanza, Federica
  • Journal of Geophysical Research: Solid Earth, Vol. 121, Issue 10
  • DOI: 10.1002/2016jb013287

Estimation of Full Moment Tensors, Including Uncertainties, for Nuclear Explosions, Volcanic Events, and Earthquakes
journal, June 2018

  • Alvizuri, Celso; Silwal, Vipul; Krischer, Lion
  • Journal of Geophysical Research: Solid Earth, Vol. 123, Issue 6
  • DOI: 10.1029/2017jb015325

The classical model for moment tensors
journal, October 2013

  • Tape, Walter; Tape, Carl
  • Geophysical Journal International, Vol. 195, Issue 3
  • DOI: 10.1093/gji/ggt302

Analysis of seismic moment tensors and in situ stress during Enhanced Geothermal System development at The Geysers geothermal field, California
journal, August 2018

  • Boyd, O. Sierra; Dreger, Douglas S.; Gritto, Roland
  • Geophysical Journal International, Vol. 215, Issue 2
  • DOI: 10.1093/gji/ggy326

Focal mechanisms of the 2017 North Korean nuclear test and its early collapse event
journal, October 2019

  • Xu, Henglei; Ni, Sidao; Liu, Wenxue
  • Geophysical Journal International, Vol. 220, Issue 2
  • DOI: 10.1093/gji/ggz462

Mathematical review on source-type diagrams
journal, March 2016


A multi-technology analysis of the 2017 North Korean nuclear test
journal, January 2019