Multiobjective Optimization of Regional and Teleseismic Data to Constrain the Source of the 12 September 2016 Mw 5.4 Earthquake in South Korea

Letort, Jean; Trilla, Aurélie Guilhem; Ford, Sean R.; Myers, Stephen C.

doi:10.1785/0120170217

Title: Multiobjective Optimization of Regional and Teleseismic Data to Constrain the Source of the 12 September 2016 Mw 5.4 Earthquake in South Korea

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Abstract

In this paper, we propose a new approach for source inversion with automatic criteria for the station selection process and using a multiobjective optimization scheme combining teleseismic body-wave and regional surface-wave observations. To illustrate the approach, we determine the source parameters of the 12 September 2016 M_w 5.4 South Korea earthquake, as well as its foreshock (same day) and its main aftershock on 19 September 2016. Available teleseismic (short period and broadband) and regional (broadband) seismograms from the Incorporated Research Institutions for Seismology International–Federation of Digital Seismograph Networks (IRIS-FDSN) webservice are selected (see Data and Resources). First, all teleseismic data with signal-to-noise ratio (SNR) above 2 in the 0.3–1.5 Hz frequency band are selected and a cepstrum function is blindly applied to help detect reflected wave arrivals inside a P coda. This method allows the identification of records with weak P-coda and clear depth phase (pP, sP) arrivals and can be used to select an optimal set of teleseismic seismograms to be used for the inversion. Second, regional seismograms are selected according to the fit between their observed and theoretical dispersion curves extracted from local 1D velocity model. Depending on the epicentral distance, two frequency bands are proposed for regionalmore »« less

Authors:

Letort, Jean ^[1]; Trilla, Aurélie Guilhem ^[2]; Ford, Sean R. ^[3]; Myers, Stephen C. ^[3]

Université Grenoble Alpes, ISTerre (France)
CEA, DAM, DIF, Ile de France, Cedex (France)
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)

Publication Date:: Tue Dec 12 00:00:00 EST 2017

Research Org.:: Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)

Sponsoring Org.:: USDOE National Nuclear Security Administration (NNSA)

OSTI Identifier:: 1548351

Report Number(s):: LLNL-JRNL-783214
Journal ID: ISSN 0037-1106; 978604

Grant/Contract Number:: AC52-07NA27344

Resource Type:: Accepted Manuscript

Journal Name:: Bulletin of the Seismological Society of America

Additional Journal Information:: Journal Volume: 108; Journal Issue: 1; Journal ID: ISSN 0037-1106

Publisher:: Seismological Society of America

Country of Publication:: United States

Language:: English

Subject:: 58 GEOSCIENCES

Citation Formats


                    Letort, Jean, Trilla, Aurélie Guilhem, Ford, Sean R., and Myers, Stephen C. Multiobjective Optimization of Regional and Teleseismic Data to Constrain the Source of the 12 September 2016 Mw 5.4 Earthquake in South Korea.  United States: N. p., 2017. 
Web.  doi:10.1785/0120170217.

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                    Letort, Jean, Trilla, Aurélie Guilhem, Ford, Sean R., & Myers, Stephen C. Multiobjective Optimization of Regional and Teleseismic Data to Constrain the Source of the 12 September 2016 Mw 5.4 Earthquake in South Korea.  United States.  https://doi.org/10.1785/0120170217

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                    Letort, Jean, Trilla, Aurélie Guilhem, Ford, Sean R., and Myers, Stephen C. Tue .  
"Multiobjective Optimization of Regional and Teleseismic Data to Constrain the Source of the 12 September 2016 Mw 5.4 Earthquake in South Korea".  United States.  https://doi.org/10.1785/0120170217.  https://www.osti.gov/servlets/purl/1548351.

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@article{osti_1548351,

  title        = {Multiobjective Optimization of Regional and Teleseismic Data to Constrain the Source of the 12 September 2016 Mw 5.4 Earthquake in South Korea},

  author       = {Letort, Jean and Trilla, Aurélie Guilhem and Ford, Sean R. and Myers, Stephen C.},

  abstractNote = {In this paper, we propose a new approach for source inversion with automatic criteria for the station selection process and using a multiobjective optimization scheme combining teleseismic body-wave and regional surface-wave observations. To illustrate the approach, we determine the source parameters of the 12 September 2016 Mw 5.4 South Korea earthquake, as well as its foreshock (same day) and its main aftershock on 19 September 2016. Available teleseismic (short period and broadband) and regional (broadband) seismograms from the Incorporated Research Institutions for Seismology International–Federation of Digital Seismograph Networks (IRIS-FDSN) webservice are selected (see Data and Resources). First, all teleseismic data with signal-to-noise ratio (SNR) above 2 in the 0.3–1.5 Hz frequency band are selected and a cepstrum function is blindly applied to help detect reflected wave arrivals inside a P coda. This method allows the identification of records with weak P-coda and clear depth phase (pP, sP) arrivals and can be used to select an optimal set of teleseismic seismograms to be used for the inversion. Second, regional seismograms are selected according to the fit between their observed and theoretical dispersion curves extracted from local 1D velocity model. Depending on the epicentral distance, two frequency bands are proposed for regional data: 15–50 s for epicentral distances smaller than 2° and 30–80 s otherwise. Finally, we explore the space parameters from exhaustive grid searches for the two objective functions Tf and Rf for teleseismic and regional data, respectively. We show that the seismic moment parameters can be exclusively derived from Rf and can be fixed for Tf. However, the depth parameter is not sensitive to Rf and can be simultaneously inverted from both. The selection of the optimal solution satisfying both cost functions uses the optimum Pareto front that allows a decrease in epistemic uncertainty. Lastly, we discuss the advantage of this approach for improving the characterization of moderate earthquake sources in areas with limited regional instrumentation.},

  doi          = {10.1785/0120170217},

  journal      = {Bulletin of the Seismological Society of America},

  number       = 1,

  volume       = 108,

  place        = {United States},

  year         = {Tue Dec 12 00:00:00 EST 2017},

  month        = {Tue Dec 12 00:00:00 EST 2017}

}

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