Evaluation of the P-wave seismogram approach to estimate V S 30 in California

Abstract

The P-wave seismogram method is utilized to estimate the V_S30 at 194 ground motion recording stations in California. Comparison with the measured V_S30 at these sites shows an average overestimation of 9%, which is similar to values reported by other studies for the P-wave seismogram method. The estimated V_S30 are within ±50% of the measured V_S30 for 85% of the sites. The V_S30 residuals are interpreted with respect to the peak frequency obtained from horizontal-to-vertical spectral ratio (HVSR) measurements, and the results indicate that stations with estimated V_S30 greater than 500 m/s may be systematically overestimated by the P-wave seismogram method when a distinct peak is identified in the HVSR. Thus, the peak frequency from HVSR can be used to identify sites with potential bias and also to correct this bias. The P-wave seismogram V_S30 estimates from this study are compared to estimates from a geology/slope proxy, and the results suggest that the P-wave seismogram method achieves similar accuracy and less variability relative to the measured V_S30 compared with the geology/slope proxy-based method.

Keywords

California P-wave seismogram method HVSR site characterization

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References

Abrahamson

Silva

Kamai

(2014) Summary of the Abrahamson, Silva, and Kamai NGA-West 2 ground-motion relations for active crustal regions. Earthquake Spectra 30: 1025–1055.

Ahdi

Stewart

Ancheta

Kwak

Mitra

(2017) Development of Vs profile database and proxy-based models for V_s₃₀ prediction in the Pacific Northwest region of North America. Bulletin of the Seismological Society of America 107(4): 1781–1801.

Aki

Richards

(2002) Quantitative Seismology (ed. Ellis

). Sausalito, CA: University Science Books.

Allen

Wald

(2009) On the use of high-resolution topographic data as a proxy for seismic site conditions ( V_s₃₀). Bulletin of the Seismological Society of America 99: 935–943.

American Society of Civil Engineers (ASCE) (2016) ASCE/SEI 7-16: Minimum design loads for buildings and other structures.

BDSN (2014) Berkeley Digital Seismic Network (Dataset). UC Berkeley Seismological Laboratory. https://doi.org/10.7932/BDSN

Boore

Stewart

Seyhan

Atkinson

(2014) NGA-West2 equations for predicting PGA, PGV, and 5% damped PSA for shallow crustal earthquakes. Earthquake Spectra 30: 1057–1085.

Boore

Thompson

Cadet

(2011) Regional correlations of V_s₃₀ and velocities averaged over depths less than and greater than 30 meters. Bulletin of the Seismological Society of America 101(6): 3046–3059.

California Institute of Technology and United States Geological Survey Pasadena (1926) Southern California Seismic Network (Dataset). International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/CI

10.

Chiou

BS-J

Youngs

(2014) Update of the Chiou and Youngs NGA model for the average horizontal component of peak ground motion and response spectra. Earthquake Spectra 30(3): 1117–1153.

11.

Cox

Beekman

(2011) Intramethod variability in ReMi dispersion measurements and Vs estimates at shallow bedrock sites. Journal of Geotechnical and Geoenvironmental Engineering 137: 354–362.

12.

European Committee for Standardization (CEN) (2013) EN 1998-1: Eurocode 8: Design of structures for earthquake resistance, part 1: General rules, seismic actions and rules for buildings.

13.

Idriss

(2014) An NGA-West2 empirical model for estimating the horizontal spectral values generated by shallow crustal earthquakes. Earthquake Spectra 30(3): 1155–1177.

14.

Iwahashi

Pike

(2007) Automated classifications of topography from DEMs by an unsupervised nested-means algorithm and a three part geometric signature. Geomorphology 86(3/4): 409–440.

15.

Jones

Kalkan

Stephens

(2017) Processing and Review Interface for Strong Motion Data (PRISM)—methodology and automated processing (Version 1.0.0). U.S. Geological Survey Open-File Report, 2017-1008. Reston, VA: U.S. Geological Survey.

16.

Kamai

Abrahamson

Silva

(2016) VS30 in the NGA GMPEs: Regional Differences and Suggested Practice. Earthquake Spectra, 32(4), 2083–2108.

17.

Kang

Kim

Park

Lee

(2020) Automated procedure for estimating V_s₃₀ utilizing P-wave seismograms and its application to Japan. Engineering Geology 264: 1–16.

18.

Kim

Hashash

YMA

Rathje

Stewart

Somerville

Kottke

Silva

Campbell

(2016) Subsurface shear-wave velocity characterization using P-wave seismograms in Central, and Eastern North America. Earthquake Spectra 32(1): 143–169.

19.

Kottke

Hashash

YMA

Stewart

Moss

Nikolaou

Rathje

Silva

Campbell

(2012) Development of geologic site classes for seismic site amplification for central, and eastern North America. In: Proceedings of the 15th world conference on earthquake engineering, Lisbon, 24–28 September 2012, Paper No. 4557.

20.

Kwak

Brandenberg

Mikami

Stewart

(2015) Prediction equations for estimating shear-wave velocity from combined geotechnical and geomorphic indexes based on Japanese dataset. BSSA 105(4): 1919–1930.

21.

McPhillips

Herrick

Ahdi

Yong

Haefner

(2020) Updated compilation of V_s₃₀ data for the United States: U.S. Geological Survey data release. https://doi.org/10.5066/P9H5QEAC

22.

Miao

Shi

Wang

S-Y

(2018) Estimating near-surface shear wave velocity using the P-wave seismograms method in Japan. Earthquake Spectra 34(4): 1955–1971.

23.

Somerville

(2014) Estimating subsurface shear velocity with radial to vertical ratio of local P waves. Seismological Research Letters 85(1): 82–89.

24.

Northern California Earthquake Data Center (2014) Northern California Earthquake Data Center (Dataset). Northern California Earthquake Data Center. https://doi.org/10.7932/NCEDC

25.

Owens

Crotwell

Groves

Oliver-Paul

(2004) SOD: Standing order for data. Seismological Research Letters 75: 515–520.

26.

Park

Ishii

(2018) Near-surface compressional and shear wave speeds constrained by body-wave polarization analysis, Geophysical Journal International 213 (3): 1559–1571.

27.

Parker

Harmon

Stewart

Hashash

YMA

Kottke

Rathje

Silva

Campbell

(2017) Proxy-based V_s₃₀ estimation in central, and eastern North America. Bulletin of the Seismological Society of America 107(1): 117–131.

28.

Pinheiro

Bates

(2000). Mixed-Effects Models in S and S-PLUS. New York. Springer-Verlag, p. 528.

29.

Rathje

(2022) V_s₃₀ estimates in California from the P-wave seismogram approach. DesignSafe-CI. https://doi.org/10.17603/ds2-6wq5-c559

30.

Rathje

(2021) Evaluation of the P-wave seismogram approach to estimate V_s₃₀, USGS Final Technical Report. Retrieved January 10 2022, from https://earthquake.usgs.gov/cfusion/external_grants/reports/G19AP00104.pdf

31.

SCEDC (2013) Southern California Earthquake Center (Dataset). Caltech. https://doi.org/10.7909/C3WD3XH1

32.

Tuan

Scherbaum

Malischewsky

(2011) On the relationship of peaks and troughs of the ellipticity (H/V) of Rayleigh waves and the transmission response of single layer over halfspace models. Geophysical Journal International 184: 793–800.

33.

U.S. Geological Survey (1931) United States National Strong-Motion Network (Dataset). International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/NP

34.

USGS Menlo Park (1967) USGS Northern California Network (Dataset). International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/NC

35.

Wald

Allen

(2007) Topographic slope as a proxy for seismic site conditions and amplification. Bulletin of the Seismological Society of America 97: 1379–1395.

36.

Wald

Hutton

Given

(1995) The Southern California network bulletin: 1990–1993 summary. Seismological Research Letters 66(1): 9–19.

37.

Wang

Zimmaro

Gospe

Ahdi

Yong

Stewart

(2021) Horizontal-to-vertical spectral ratios from California sites: Open-source database and data interpretation to establish site parameters, California Geological Survey Report. https://doi.org/10.34948/N3KW20

38.

Wills

Clahan

(2006) Developing a map of geologically defined site-condition categories for California. Bulletin of the Seismological Society of America 96: 1483–1501.

39.

Wills

Gutierrez

Perez

Branum

(2015) A next generation V_s₃₀ map for California based on geology and topography. Bulletin of the Seismological Society of America 105(6): 3083–3091.

40.

Yong

(2016) Comparison of measured and proxy-based V_s₃₀ values in California. Earthquake Spectra 32(1): 171–192.

41.

Yong

Martin

Stokoe

Diehl

(2013) ARRA-funded V_s₃₀ measurements using multi-technique approach at strong-motion stations in California and central-eastern United States: U.S. Geological Survey Open-File Report 2013–1102, data files. Available at: http://pubs.usgs.gov/of/2013/1102/

42.

Zalachoris

Rathje

Paine

(2017) V_s₃₀ characterization of Texas, Oklahoma, and Kansas using the P-wave seismogram method. Earthquake Spectra 33(3): 943–961.

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