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Influence of processing technique on the agreement of site fundamental frequency (f0) from earthquake and microtremor horizontal-to-vertical spectral ratio

dc.contributor.authorIlgac, Makbule
dc.contributor.authorVantassel, Joseph P.
dc.contributor.authorAthanasopoulos-Zekkos, Adda
dc.date.accessioned2026-06-27T15:32:11Z
dc.date.issued2026
dc.description.abstractLeveraging a database of earthquake recordings and microtremor measurements collected at seismic stations in California, this research explores the influence of processing decisions on the site fundamental frequency (f(0)) obtained from the horizontal-to-vertical spectral ratio (HVSR) of earthquakes (eHVSR). The study systematically evaluates different approaches for processing eHVSR, including considering signal-to-noise ratio (SNR) to determine usable frequency range, the use of the Fourier amplitude spectrum (FAS) or pseudo-spectral acceleration (PSA), and the impact of using the full earthquake record or selecting the S-wave portion. The SESAME clearness and reliability checks on eHVSR reveal that an SNR-based frequency range outperforms a total frequency range, and FAS outperforms PSA. Across different eHVSR, f(0) was determined to be consistent with microtremor HVSR (mHVSR) (Pearson correlation coefficient, r > 0.95) while revealing strong differences in amplitude (r approximate to 0.01-0.7), with 30-40% of the mHVSR-eHVSR pairs disagreeing regarding the occurrence of peaks and resultant median curves being flat. However, when peaks are identified, f(0) from various eHVSR matches with mHVSR (r > 0.90), but their amplitudes do not (r r = 0.89). Lastly, while selecting the S-wave window manually versus automatically using existing machine-learning algorithms, they occasionally did not identify identical portions of the earthquake recordings; however, both methods produced very similar eHVSR. Therefore, while additional study is necessary to understand the source of these differences, existing machine algorithms for S-wave selection show promise for use as part of eHVSR processing. Hence, the FAS method employing the manually picked S-wave window and/or full earthquake, along with the calculation of SNR-based frequency range, may be favored for determining f(0) from eHVSR curves. The source of inconsistency between mHVSR and eHVSR should be further investigated.en
dc.description.sponsorshipCalifornia Strong Ground Motion Instrumentation Program (CSMIP)
dc.description.sponsorshipCalifornia Department of Conservation, California Geological Survey, Strong Motion Instrumentation Program [1021-005]
dc.description.sponsorshipU.S. Geological Survey (USGS) [G24AP00400-00]
dc.description.urihttps://doi.org/10.1016/j.enggeo.2026.108573
dc.identifier.doi10.1016/j.enggeo.2026.108573
dc.identifier.eissn1872-6917
dc.identifier.issn0013-7952
dc.identifier.urihttps://hdl.handle.net/20.500.14981/71660
dc.identifier.volume363
dc.identifier.wos001682833800001
dc.language.isoeng
dc.publisherELSEVIER
dc.relation.ispartofENGINEERING GEOLOGY
dc.subjectEarthquake
dc.subjectMicrotremor
dc.subjectHVSR
dc.subjectS -wave
dc.subjectMachine learning algorithms
dc.subjectSHEAR-WAVE VELOCITY
dc.subjectVALLEY DOWNHOLE ARRAY
dc.subjectGROUND-MOTION
dc.subjectGEOLOGICAL CONDITIONS
dc.subjectPEAK FREQUENCY
dc.subjectEFFECTS MODEL
dc.subjectVS30
dc.subjectMICROZONATION
dc.subjectAMPLIFICATION
dc.subjectEngineering
dc.subjectGeology
dc.titleInfluence of processing technique on the agreement of site fundamental frequency (f0) from earthquake and microtremor horizontal-to-vertical spectral ratio
dc.typeArticle
dspace.entity.typePublication
local.import.sourceWOS

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