High-Pass Corner Frequency Selection for Implementation in the USGS Automated Ground Motion Processing Tool

M. E. Ramos-Sepulveda; G. A. Parker; E. M. Thompson; S. J. Brandenberg; M. Li; O. Ilhan; Y. M.A. Hashash; E. M. Rathje; J. P. Stewart

doi:10.1061/9780784484692.034

High-Pass Corner Frequency Selection for Implementation in the USGS Automated Ground Motion Processing Tool

M. E. Ramos-Sepulveda, G. A. Parker, E. M. Thompson, S. J. Brandenberg, M. Li, O. Ilhan, Y. M.A. Hashash, E. M. Rathje, J. P. Stewart

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Earthquake ground motion processing for next-generation attenuation (NGA) projects required human inspection to select high-pass corner frequencies (f_cHP), which is time-intensive and subjective. With growth in the number of recordings per event and interest in enhancing repeatability, we sought to develop automated procedures for f_cHPselection. These procedures consider signal-to-noise ratio (SNR) and non-physical features in the displacement time series that indicate high-and/or low-frequency noise effects. The procedures are implemented in a US Geological Survey software package (gmprocess). We extend previous procedures for SNR-based corner frequency selection to also check for low-frequency artifacts in the displacement record using a polynomial fit to improve f_cHPselection. We evaluate the performance of the SNR and polynomial fit criteria using recordings from the 2020 M5.1 North Carolina and the 2013 M4.7 Southern Ontario earthquakes. Data processed with the SNR-only criteria can have low f_cHPand displacement drift; the displacement check increases f_cHPand reduces displacement drift.

Original language	English (US)
Title of host publication	Geotechnical Special Publication
Editors	Ellen Rathje, Brina M. Montoya, Mark H. Wayne
Publisher	American Society of Civil Engineers
Pages	327-335
Number of pages	9
Edition	GSP 342
ISBN (Electronic)	9780784484654, 9780784484661, 9780784484678, 9780784484685, 9780784484692, 9780784484708
DOIs	https://doi.org/10.1061/9780784484692.034
State	Published - 2023
Externally published	Yes
Event	2023 Geo-Congress: Sustainable Infrastructure Solutions from the Ground Up - Geotechnical Data Analysis and Computation - Los Angeles, United States Duration: Mar 26 2023 → Mar 29 2023

Publication series

Name	Geotechnical Special Publication
Number	GSP 342
Volume	2023-March
ISSN (Print)	0895-0563

Conference

Conference	2023 Geo-Congress: Sustainable Infrastructure Solutions from the Ground Up - Geotechnical Data Analysis and Computation
Country/Territory	United States
City	Los Angeles
Period	3/26/23 → 3/29/23

ASJC Scopus subject areas

Civil and Structural Engineering
Architecture
Building and Construction
Geotechnical Engineering and Engineering Geology

Online availability

10.1061/9780784484692.034

Library availability

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Cite this

Ramos-Sepulveda, M. E., Parker, G. A., Thompson, E. M., Brandenberg, S. J., Li, M., Ilhan, O., Hashash, Y. M. A., Rathje, E. M., & Stewart, J. P. (2023). High-Pass Corner Frequency Selection for Implementation in the USGS Automated Ground Motion Processing Tool. In E. Rathje, B. M. Montoya, & M. H. Wayne (Eds.), Geotechnical Special Publication (GSP 342 ed., pp. 327-335). (Geotechnical Special Publication; Vol. 2023-March, No. GSP 342). American Society of Civil Engineers. https://doi.org/10.1061/9780784484692.034

High-Pass Corner Frequency Selection for Implementation in the USGS Automated Ground Motion Processing Tool. / Ramos-Sepulveda, M. E.; Parker, G. A.; Thompson, E. M. et al.
Geotechnical Special Publication. ed. / Ellen Rathje; Brina M. Montoya; Mark H. Wayne. GSP 342. ed. American Society of Civil Engineers, 2023. p. 327-335 (Geotechnical Special Publication; Vol. 2023-March, No. GSP 342).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ramos-Sepulveda, ME, Parker, GA, Thompson, EM, Brandenberg, SJ, Li, M, Ilhan, O, Hashash, YMA, Rathje, EM & Stewart, JP 2023, High-Pass Corner Frequency Selection for Implementation in the USGS Automated Ground Motion Processing Tool. in E Rathje, BM Montoya & MH Wayne (eds), Geotechnical Special Publication. GSP 342 edn, Geotechnical Special Publication, no. GSP 342, vol. 2023-March, American Society of Civil Engineers, pp. 327-335, 2023 Geo-Congress: Sustainable Infrastructure Solutions from the Ground Up - Geotechnical Data Analysis and Computation, Los Angeles, United States, 3/26/23. https://doi.org/10.1061/9780784484692.034

Ramos-Sepulveda ME, Parker GA, Thompson EM, Brandenberg SJ, Li M, Ilhan O et al. High-Pass Corner Frequency Selection for Implementation in the USGS Automated Ground Motion Processing Tool. In Rathje E, Montoya BM, Wayne MH, editors, Geotechnical Special Publication. GSP 342 ed. American Society of Civil Engineers. 2023. p. 327-335. (Geotechnical Special Publication; GSP 342). doi: 10.1061/9780784484692.034

Ramos-Sepulveda, M. E. ; Parker, G. A. ; Thompson, E. M. et al. / High-Pass Corner Frequency Selection for Implementation in the USGS Automated Ground Motion Processing Tool. Geotechnical Special Publication. editor / Ellen Rathje ; Brina M. Montoya ; Mark H. Wayne. GSP 342. ed. American Society of Civil Engineers, 2023. pp. 327-335 (Geotechnical Special Publication; GSP 342).

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abstract = "Earthquake ground motion processing for next-generation attenuation (NGA) projects required human inspection to select high-pass corner frequencies (fcHP), which is time-intensive and subjective. With growth in the number of recordings per event and interest in enhancing repeatability, we sought to develop automated procedures for fcHPselection. These procedures consider signal-to-noise ratio (SNR) and non-physical features in the displacement time series that indicate high-and/or low-frequency noise effects. The procedures are implemented in a US Geological Survey software package (gmprocess). We extend previous procedures for SNR-based corner frequency selection to also check for low-frequency artifacts in the displacement record using a polynomial fit to improve fcHPselection. We evaluate the performance of the SNR and polynomial fit criteria using recordings from the 2020 M5.1 North Carolina and the 2013 M4.7 Southern Ontario earthquakes. Data processed with the SNR-only criteria can have low fcHPand displacement drift; the displacement check increases fcHPand reduces displacement drift.",

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note = "Support for this research project was provided by from USGS Contract G21AP10370, which is appreciated.; 2023 Geo-Congress: Sustainable Infrastructure Solutions from the Ground Up - Geotechnical Data Analysis and Computation ; Conference date: 26-03-2023 Through 29-03-2023",

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AB - Earthquake ground motion processing for next-generation attenuation (NGA) projects required human inspection to select high-pass corner frequencies (fcHP), which is time-intensive and subjective. With growth in the number of recordings per event and interest in enhancing repeatability, we sought to develop automated procedures for fcHPselection. These procedures consider signal-to-noise ratio (SNR) and non-physical features in the displacement time series that indicate high-and/or low-frequency noise effects. The procedures are implemented in a US Geological Survey software package (gmprocess). We extend previous procedures for SNR-based corner frequency selection to also check for low-frequency artifacts in the displacement record using a polynomial fit to improve fcHPselection. We evaluate the performance of the SNR and polynomial fit criteria using recordings from the 2020 M5.1 North Carolina and the 2013 M4.7 Southern Ontario earthquakes. Data processed with the SNR-only criteria can have low fcHPand displacement drift; the displacement check increases fcHPand reduces displacement drift.

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High-Pass Corner Frequency Selection for Implementation in the USGS Automated Ground Motion Processing Tool

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