Site parameters applied in NGA-Sub database

Ahdi, Sean K; Kwak, Dongmin; Ancheta, Timothy D; Contreras, Víctor; Kishida, Tadahiro; Kwok, Annie O; Mazzoni, Silvia; Ruz, Francisco; Stewart, Jonathan P.

doi:10.1177/87552930211043536

Cited by 18 publications

(13 citation statements)

References 61 publications

(106 reference statements)

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“…Since publication of the original NGA-Sub database, Zhu et al (2021) with the help of the NGA-Sub project team (Ahdi et al, 2022) revised and corrected the measured and proxy values of Japan site parameters for K-NET and KiK-net stations used in the original NGA-Sub database. The final NGA-Sub database was updated with these revised K-NET and KiK-net station data and with similarly revised site parameters for stations not included in the Zhu et al (2021) study (Ahdi et al, 2022). It is this updated database that is used in our study.…”

Section: Databasementioning

confidence: 99%

An evaluation of partially nonergodic PGA ground-motion models for Japanese megathrust earthquakes

Campbell¹,

Bozorgnia

Kuehn

et al. 2022

Earthquake Spectra

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We used a ground-motion database of Japanese subduction interface (megathrust) earthquakes from the NGA-Subduction project to develop a series of ground-motion models (GMMs) for peak ground acceleration (PGA) that explore the effects of including random-effect event and station terms and differences in attenuation between forearc and backarc tectonic regions. The GMMs with the lowest standard deviations and the best goodness-of-fit metrics are those that include event and station terms and that differentiate between forearc and backarc attenuation using fractional travel paths within each region as distance metrics. In the best models, anelastic attenuation is found to be much greater in the backarc than in the forearc. The inclusion of station terms does not result in a geographic bias in anelastic attenuation as has been found in past studies. Inclusion of a rake-angle term is found to be marginally significant, whereas the addition of a volcanic-arc-crossing term is most important when station terms are excluded. We provide model coefficients, statistical significance of coefficients, standard deviations, and goodness-of-fit metrics for all of the GMMs explored in this study to show the impact of model assumptions as well as allow users the ability to select a model consistent with their application.

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Section: Databasementioning

confidence: 99%

An evaluation of partially nonergodic PGA ground-motion models for Japanese megathrust earthquakes

Campbell¹,

Bozorgnia

Kuehn

et al. 2022

Earthquake Spectra

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“…The last two bins represent the Tokachi and Tohoku earthquakes, respectively. Figure 7 (right panel) plots the stress-strain relationship by accelerograph network for the four networks with recordings in the C22 database: KiK-net, K-NET, JMA, and PARI (see Ahdi et al, 2022, for a description of these networks). A quadratic model is also used to fit these trends.…”

Section: Nonlinear Site Response and Shear Strainmentioning

confidence: 99%

Empirical nonlinear site effects in Japanese megathrust earthquakes

Campbell¹,

Bozorgnia

Kuehn

et al. 2022

Earthquake Spectra

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In the course of developing ground-motion models (GMMs) of peak ground acceleration (PGA) for Japanese megathrust earthquakes, we discovered that empirical nonlinear site effects from these events are very different from those found for shallow crustal earthquakes in California and other global active tectonic regions. In particular, nonlinearity in site response is much less prominent in Japan than these other regions, which is consistent with other empirical and theoretical ground-response studies using recordings from both crustal and subduction earthquakes. In this study, we used the residuals from Japanese megathrust GMMs that account for linear site response to develop a nonlinear site-response term that uses the value of PGA on rock as a measure of ground-motion severity and the value of time-averaged shear-wave velocity in the top 30 m of a site ( VS30) as a measure of site properties. The resulting residuals are unbiased and trendless over all PGA values of interest. We also investigated whether soil nonlinearity can be modeled using proxies for shear stress and shear strain. We found deviations from expected linearity unrelated to nonlinear site effects at small values of strain—believed to be due to network accelerograph trigger thresholds—and at large earthquake magnitudes, believed to be due to the shape of the source spectrum.

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“…The fields in the Site table contain both independent variables taken directly from source materials and derived quantities. Ahdi et al (this volume) describe procedures used during data collection and interpretation.…”

Section: Organization Of Metadatamentioning

confidence: 99%

“…We describe how data were checked for potential errors and flagged. Critical components of the database related to source and path metadata and site condition are presented in companion papers by Contreras et al (this volume) and Ahdi et al (this volume), respectively.…”

Section: Introductionmentioning

confidence: 99%

Relational database used for ground-motion model development in the NGA-sub project

et al. 2021

Self Cite

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The Next-Generation Attenuation for subduction zone regions project (NGA-Sub) has developed data resources and ground motion models for global subduction zone regions. Here we describe the NGA-Sub database. To optimize the efficiency of data storage, access, and updating, data resources for the NGA-Sub project are organized into a relational database consisting of 20 tables containing data, metadata, and computed quantities (e.g. intensity measures, distances). A database schema relates fields in tables to each other through a series of primary and foreign keys. Model developers and other users mostly interact with the data through a flatfile generated as a time-stamped output of the database. We describe the structure of the relational database, the ground motions compiled for the project, and the means by which the data can be accessed. The database contains 71,340 three-component records from 1880 earthquakes from seven global subduction zone regions: Alaska, Central America and Mexico, Cascadia, Japan, New Zealand, South America, and Taiwan. These data were processed on a component-specific basis to minimize noise effects in the data and remove baseline drifts. Provided ground motion intensity measures include peak acceleration, peak velocity, and 5%-damped pseudo-spectral accelerations for a range of oscillator periods.

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Site parameters applied in NGA-Sub database

Cited by 18 publications

References 61 publications

An evaluation of partially nonergodic PGA ground-motion models for Japanese megathrust earthquakes

An evaluation of partially nonergodic PGA ground-motion models for Japanese megathrust earthquakes

Empirical nonlinear site effects in Japanese megathrust earthquakes

Relational database used for ground-motion model development in the NGA-sub project

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