Estimation of surface-wave group velocity in the southern Kanto area using seismic interferometric processing of continuous microtremor data

Yamanaka, Hiroaki; Chimoto, Kosuke; Moroi, Takafumi; Ikeura, Tomonori; Koketsu, Kazuki; Sakaue, Motoharu; Nakai, Syouichi; Sekiguchi, Tohru; Oda, Yoshiya

doi:10.3124/segj.63.409

Cited by 4 publications

(4 citation statements)

References 15 publications

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“…In a previous study, our group temporarily deployed seismometers in southern Kanto, Japan, to obtain a long time series of microtremor observations, as shown in Figure 1 (Yamanaka et al, 2010). The data of this previous study were applied for seismic interferometry to estimate the sedimentary layered structures in the Kanto basin by using the dispersion of CCFs in a period range between 2 and 6 s. The purpose of this paper is to broaden this period range.…”

Section: Data Collectionmentioning

confidence: 97%

“…Locations of stations used in this study (triangles). (Yamanaka et al, 2010), in which one-bit normalization was applied in a period range of 2.0-6.0 s, the signal appeared in the CCFs in the period range of 2.0-6.0 s even with the previously proposed procedures. However, the signal at periods of 0.5-2.0 s was not as clear as those obtained in several previous seismic interferometry studies, such as those by Sabra et al (2005a) and Gerstoft et al (2006).…”

Section: Data Processingmentioning

confidence: 99%

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Effects of the durations of crosscorrelated microtremor records on broadband dispersion measurements using seismic interferometry

Chimoto

Yamanaka

2014

GEOPHYSICS

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For ambient noise, a long time series is typically used for measuring surface-wave dispersion in seismic interferometry. It is preferable to measure dispersions with a broad period range. The reliability of such measurements is often studied using the signal-to-noise ratio (S/N) of the crosscorrelation function (CCF). While many studies have revealed that the S/N evolves as the length of a time series increases, the required conditions for such measurements remain unclear. We maximized the period range suitable for dispersion measurements by examining variations in the amplitudes of the signals and noise of CCFs. For these purposes, and to preserve the broadband amplitude information, we do not apply filtering in the frequency domain or signal normalization in the time domain. The preserved signals and the trailing noise levels of the CCFs exhibit different time-varying features that agree with the predictions of theoretical work on amplitudes. Specifically, as the duration of the crosscorrelated time series increases, the amplitude of the signal remains constant while the trailing noise decreases. Moreover, the trailing noise exhibits a power-law dependence on the period. The period range in which the maximum CCF amplitude exceeds the level expected for this power law corresponds to the period range in which dispersion measurements can be made appropriately with frequency-time analysis (FTAN). This approach can be used to quantitatively determine the optimal period range for dispersion measurements. Results obtained with this method indicate that long-duration records used for crosscorrelation provide not only high S/Ns but also broaden the period range in which dispersion measurements can be made.

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Section: Data Collectionmentioning

confidence: 97%

Section: Data Processingmentioning

confidence: 99%

Effects of the durations of crosscorrelated microtremor records on broadband dispersion measurements using seismic interferometry

Chimoto

Yamanaka

2014

GEOPHYSICS

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“…Therefore, we compressed two-sided signals into one-sided signals by averaging the causal and acausal parts of the cross-correlation functions to enhance the signal-to-noise ratio of the obtained interstation cross-correlation functions. This operation has been commonly used in a variety of applications of the seismic interferometry technique (e.g., Bensen et al 2007;Lin et al 2008Lin et al , 2014Yamanaka et al 2010;Hayashida et al 2014). The resulting time series was used to approximate the inter-station Green's function between two stations.…”

Section: Obtained Inter-station Cross-correlation Functionsmentioning

confidence: 99%

“…Seismic interferometry, which employs continuous ambient noise or microtremor records, is used to characterize seismic wave propagation in the Earth and has been widely applied in pure and engineering seismology on various scales (e.g., Shapiro and Campillo 2004;Sabra et al 2005;Bensen et al 2007;Yamanaka et al 2010;Seats et al 2012;Denolle et al 2014;Hayashida et al 2014;Lin et al 2014;Viens et al 2016). Ma et al (2008) tested two community velocity models for the Los Angeles area that were developed by the Southern California Earthquake Center (SCEC) by comparing observed inter-station Green's functions extracted by correlating the vertical components of ambient seismic noise recorded at 56 broadband stations with those simulated by the finite element method.…”

Section: Introductionmentioning

confidence: 99%

Surface wave group velocity in the Osaka sedimentary basin, Japan, estimated using ambient noise cross-correlation functions

Asano

Iwata

Sekiguchi

et al. 2017

Earth Planets Space

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Inter-station cross-correlation functions estimated using continuous ambient noise or microtremor records were used to extract the seismic wave propagation characteristics of the Osaka sedimentary basin, Japan. Temporary continuous observations were conducted at 15 sites in the Osaka basin between 2011 and 2013. The data were analyzed using seismic interferometry. The target period range was 2-8 s. Cross-correlations between all of the possible station pairs were calculated and stacked to produce a year-long data set, and Rayleigh wave signals in the vertical and radial components and Love wave signals in the transverse component were identified from the results. Simulation of interstation Green's functions using the finite difference method was conducted to check the performance of the current three-dimensional velocity structure model. The measured time lag between the observed and theoretical Green's functions was less than 2 s for most station pairs, which is less than the wave period of interest in the target frequency range. Group velocity tomography was applied to group delay times estimated by means of multiple filter analysis. The estimated group velocities for longer periods of 5-8 s exhibited spatial variation within the basin, which is consistent with the bedrock depth distribution; however, the group velocities for shorter periods of 2-3 s were almost constant over the studied area. The waveform and group velocity information obtained by seismic interferometry analysis can be useful for future reconstruction of a three-dimensional velocity structure model in the Osaka basin.

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Estimation of 1D Deep Vs Models in Çanakkale and Surrounding Area (Biga Peninsula, NW Turkey) Verified with Numerical Ground Motion Simulation of Moderate-Sized Earthquakes

Karagöz

2022

Pure Appl. Geophys.

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Estimation of surface-wave group velocity in the southern Kanto area using seismic interferometric processing of continuous microtremor data

Cited by 4 publications

References 15 publications

Effects of the durations of crosscorrelated microtremor records on broadband dispersion measurements using seismic interferometry

Effects of the durations of crosscorrelated microtremor records on broadband dispersion measurements using seismic interferometry

Surface wave group velocity in the Osaka sedimentary basin, Japan, estimated using ambient noise cross-correlation functions

Estimation of 1D Deep Vs Models in Çanakkale and Surrounding Area (Biga Peninsula, NW Turkey) Verified with Numerical Ground Motion Simulation of Moderate-Sized Earthquakes

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