A Flatfile for the KiK-net Database Processed Using an Automated Protocol

Dawood, Haitham M.; Rodríguez-Marek, Adrián; Bayless, Jeff; Goulet, Christine A.; Thompson, Eric M.

doi:10.1193/071214eqs106

Cited by 81 publications

(92 citation statements)

References 52 publications

(77 reference statements)

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“…A global strong-motion dataset is merged from the global NGA-West2 dataset [25], regional European datasets [26,27], and local Iran, Japanese and Turkish datasets [28][29][30]. The NGA-West2 database is composed of only five earthquakes from Japan (1925 records) and 119 earthquakes from Europe and the Middle East (524 records).…”

Section: Ground-motion Databasementioning

confidence: 99%

A Site Amplification Model for Crustal Earthquakes

Sandıkkaya¹,

Dinsever²

2018

Geosciences

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Abstract:A global dataset which is composed of more than 20,000 records is used to develop an empirical nonlinear soil amplification model for crustal earthquakes. The model also includes the deep soil effect. The soil nonlinearity is formulated in terms of input rock motion and soil stiffness. The input rock motion is defined by the pseudo-spectral acceleration at rock site condition (PSA rock ) which is also modified with between-event residual. Application of PSA rock simplifies the usage of the site model by diminishing the need of using the period-dependent correlation coefficients in hazard studies. The soil stiffness is expressed by a Gompertz sigmoid function which restricts the nonlinear effects at both of the very soft soil sites and very stiff soil sites. In order to surpass the effect of low magnitude and long-distant recordings on soil nonlinearity, the nonlinear site coefficients are constrained by using a limited dataset. The coefficients of linear site scaling and deep soil effect are obtained with the full database. The period average of site-variability is found to be 0.43. The sigma decreases with decreasing the soil stiffness or increasing input rock motion. After employing residual analysis, the region-dependent correction coefficients for linear site scaling are also obtained.

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Section: Ground-motion Databasementioning

confidence: 99%

A Site Amplification Model for Crustal Earthquakes

Sandıkkaya¹,

Dinsever²

2018

Geosciences

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“…The colors represent the free air gravity anomaly at epicenter locations (Sandwell et al, ; Sandwell & Smith, ). Boso domain has been excluded because of the little amount of data available in Dawood et al () database.…”

Section: Discussionmentioning

confidence: 99%

“…This has generated a huge quantity of high‐quality strong motion records of low and moderate moment magnitude ( M w ) earthquakes. The impressive development of Japanese strong‐motion networks (Aoi et al, ; Fujiwara et al, ) has given the opportunity to develop large and homogeneously processed data set of subduction earthquakes records (Dawood et al, ), which provide a good opportunity to use GMPEs as backbone to study the variability of strong ground motion.…”

Section: Introductionmentioning

confidence: 99%

Insights on the Japanese Subduction Megathrust Properties From Depth and Lateral Variability of Observed Ground Motions

2018

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Two ground motion prediction equation models for subduction zones have been tested using a public ground motion database of the KiK‐net records obtained by automated processing protocols (Dawood et al., 2016, https://doi.org/10.1193/071214EQS106). The database contains records of more than 700 interface earthquakes that occurred on the Japan subduction between 1998 and 2012. The Zhao et al. (2006, https://doi.org/10.1785/0120050122) ground motion prediction equation was shown to be the best suited model for the region. It was then used as backbone to analyze the variability of ground motion records. The residuals between observed and predicted ground motions have been analyzed to study the spatial variation of the earthquakes' ground motion frequency content on the Japan megathrust. This analysis revealed a depth dependency of generated ground motions consistent with the downdip segmentation proposed for subduction interfaces (Lay et al., 2012, https://doi.org/10.1029/2011JB009133), a regional ground motion dependency that may be related with lateral variations of the mechanical properties of the subduction interface and a high‐frequency radiations drop in the earthquake sequence that preceded the Tohoku‐Oki earthquake Mw 9.0. The regional ground motion dependency suggests the existence of different domains along trench of the Japan subduction megathrust that control the ground motions and the wave radiation patterns of interface earthquakes. The location of their boundaries is consistent with the extension of the rupture of the 2011 Tohoku‐Oki earthquake, with pre‐Tohoku interseismic coupling, and with the free air gravity anomalies.

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“…The resulting data set considered here has been compiled by Dawood et al (2014Dawood et al ( , 2016. This data set has been downloaded from https://datacenterhub.org/ resources/272.…”

Section: Data Setmentioning

confidence: 99%

“…This data set has been downloaded from https://datacenterhub.org/ resources/272. The corresponding data processing is fully described in Dawood et al (2014Dawood et al ( , 2016. In short, this data processing includes several steps: baseline correction, tapering on both ends (total length of tapering = 5% of the total record length), zero padding before and after recommended by Boore (2005) in relation to the order and frequency of the high-pass filtering, fourth-order acausal Butterworth filtering with selection of the cutoff frequency f c so that the computed final velocity and displacement values at the end of the time series remain smaller than some magnitude-dependent thresholds, signal-to-noise ratio larger than 3 between 2 f c and 30 Hz.…”

Section: Data Setmentioning

confidence: 99%

V S30, slope, H 800 and f 0: performance of various site-condition proxies in reducing ground-motion aleatory variability and predicting nonlinear site response

Derras

Bard

Cotton

2017

Earth Planets Space

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The aim of this paper is to investigate the ability of various site-condition proxies (SCPs) to reduce ground-motion aleatory variability and evaluate how SCPs capture nonlinearity site effects. The SCPs used here are time-averaged shear-wave velocity in the top 30 m (V S30 ), the topographical slope (slope), the fundamental resonance frequency (f 0 ) and the depth beyond which V s exceeds 800 m/s (H 800 ). We considered first the performance of each SCP taken alone and then the combined performance of the 6 SCP pairs [. This analysis is performed using a neural network approach including a random effect applied on a KiK-net subset for derivation of ground-motion prediction equations setting the relationship between various ground-motion parameters such as peak ground acceleration, peak ground velocity and pseudo-spectral acceleration PSA (T), and M w , R JB , focal depth and SCPs. While the choice of SCP is found to have almost no impact on the median groundmotion prediction, it does impact the level of aleatory uncertainty. V S30 is found to perform the best of single proxies at short periods (T < 0.6 s), while f 0 and H 800 perform better at longer periods; considering SCP pairs leads to significant improvements, with particular emphasis on [V S30 -H 800 ] and [f 0 -slope] pairs. The results also indicate significant nonlinearity on the site terms for soft sites and that the most relevant loading parameter for characterising nonlinear site response is the "stiff" spectral ordinate at the considered period.

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A Flatfile for the KiK-net Database Processed Using an Automated Protocol

Cited by 81 publications

References 52 publications

A Site Amplification Model for Crustal Earthquakes

A Site Amplification Model for Crustal Earthquakes

Insights on the Japanese Subduction Megathrust Properties From Depth and Lateral Variability of Observed Ground Motions

V S30, slope, H 800 and f 0: performance of various site-condition proxies in reducing ground-motion aleatory variability and predicting nonlinear site response

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