Ground‐Motion Prediction Equations for Subduction Interface Earthquakes in Japan Using Site Class and Simple Geometric Attenuation Functions

Zhao, John X.; Liang, Xuan; Jiang, Fei; Xing, Hao; Zhu, Min; Hou, Ruibin; Zhang, Yingbin; Lan, Xiaowen; Rhoades, David A.; Irikura, Kojiro; Fukushima, Yoshimitsu; Somerville, Paul

doi:10.1785/0120150034

Cited by 82 publications

(46 citation statements)

References 17 publications

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“…Therefore, the values are considered separately to distinguish the difference between them. According to the event-term analysis results, the magnitude scaling for subduction interface and intraslab sources are marginally different, which is similar to a previous finding (Zhao et al, 2016a, 2016b). However, due to the limited magnitude range of subduction interface events in Taiwan, we still assume the same magnitude scaling for subduction interface and intraslab sources, as in some other previous studies (Abrahamson et al, 2016; Lin and Lee, 2008), to derive a stable analysis result for subduction interface sources.…”

Section: Proposed Ground-motion Modelsupporting

confidence: 87%

“…This situation is similar to that encountered in other studies that have attempted to develop ground-motion models for other regions worldwide. For example, ground-motion records with Mw > 7.1 for crustal sources in Europe and the Middle East are insufficient (Akkar et al, 2014); no ground-motion records with Mw > 7.3 for crustal sources are available in California (Abrahamson et al, 2014); and ground-motion records with Mw > 7.1 for crustal sources and Mw > 7.5 for subduction sources in Japan are insufficient (Zhao et al, 2016a, 2016b, 2016c). Model coefficients that control magnitude scaling and distance scaling for scenarios with no or insufficient data cannot be derived or well constrained from regression analysis when developing the ground-motion model.…”

Section: Introductionmentioning

confidence: 99%

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A horizontal ground-motion model for crustal and subduction earthquakes in Taiwan

et al. 2020

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In this study, a new horizontal ground-motion model is developed for crustal and subduction earthquakes in Taiwan. A novel two-step maximum-likelihood method is used as a regression tool to develop this model. This method simultaneously considers both the correlation between records and the biased sampling because of random truncation. Moreover, additional ground-motion data can be considered to derive more reliable analysis results. The functional form of the proposed ground-motion model is constructed using the response spectrum of the reference ground-motion scenario and different scalings of the source, path, and site to illustrate the ground-motion characteristics. The variabilities in the ground-motion intensity that result from different events, stations, and records are developed individually to derive a single-station sigma. The proposed ground-motion model may be useful for predicting ground-motion intensity and performing site-specific probabilistic seismic hazard analysis in Taiwan.

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Section: Proposed Ground-motion Modelsupporting

confidence: 87%

Section: Introductionmentioning

confidence: 99%

A horizontal ground-motion model for crustal and subduction earthquakes in Taiwan

et al. 2020

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“…18, which shows the ratio of the PGA hazard of the Britain/Bougainville coastal region calculated using the Zhao et al (2016a) GMM relative to the Atkinson and Boore (2003) GMM. It can be seen that the Zhao et al (2016a) GMM results in significantly higher hazard across the region with factors up to 75%. This comparison shows the variability among the selected GMMs and the vital need to develop a database of recorded ground-motions in PNG.…”

Section: Hazard Resultsmentioning

confidence: 99%

Seismotectonic model and probabilistic seismic hazard assessment for Papua New Guinea

Ghasemi

Cummins

Weatherill

et al. 2020

Bull Earthquake Eng

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Papua New Guinea (PNG) lies in a belt of intense tectonic activity that experiences high levels of seismicity. Although this seismicity poses significant risks to society, the Building Code of PNG and its underpinning seismic loading requirements have not been revised since 1982. This study aims to partially address this gap by updating the seismic zoning map on which the earthquake loading component of the building code is based. We performed a new probabilistic seismic hazard assessment for PNG using the OpenQuake software developed by the Global Earthquake Model Foundation (Pagani et al. in Seism Res Lett 85(3):692–702, 2014). Among other enhancements, for the first time together with background sources, individual fault sources are implemented to represent active major and microplate boundaries in the region to better constrain the earthquake-rate and seismic-source models. The seismic-source model also models intraslab, Wadati–Benioff zone seismicity in a more realistic way using a continuous slab volume to constrain the finite ruptures of such events. The results suggest a high level of hazard in the coastal areas of the Huon Peninsula and the New Britain–Bougainville region, and a relatively low level of hazard in the southwestern part of mainland PNG. In comparison with the seismic zonation map in the current design standard, it can be noted that the spatial distribution of seismic hazard used for building design does not match the bedrock hazard distribution of this study. In particular, the high seismic hazard of the Huon Peninsula in the revised assessment is not captured in the current building code of PNG.

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“…On the other hand, PGV is not always included as the output variable of the newest subduction-zone GMPEs. 38,39 Therefore, we use the GMPEs from Ghofrani and Atkinson, 34 which includes the ground motion records from the 2011 Tohoku event together with adjustment factors for the CSZ to account for its deeper soil profile compared with Japan. In comparison with other crustal GMPEs from the NGA-West2, the GMPE by Boore et al 35 requires less input information (e.g., unknown options for fault type and hanging wall effect).…”

Section: Ground Motion Modelmentioning

confidence: 99%

“…Although other global subduction‐zone GMPEs are available (e.g., other studies 36,37 ), they do not include the ground motion from the 2011 Tohoku sequences, and thus the equations need to be extrapolated beyond the range of the underlying ground motion data. On the other hand, PGV is not always included as the output variable of the newest subduction‐zone GMPEs 38,39 . Therefore, we use the GMPEs from Ghofrani and Atkinson, 34 which includes the ground motion records from the 2011 Tohoku event together with adjustment factors for the CSZ to account for its deeper soil profile compared with Japan.…”

Section: Spatiotemporal Seismic Hazard and Risk Assessment In Victoriamentioning

confidence: 99%

Spatiotemporal seismic hazard and risk assessment of M9.0 megathrust earthquake sequences of wood‐frame houses in Victoria, British Columbia, Canada

Zhang

Goda

Werner

et al. 2020

Earthq Engng Struct Dyn

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Megathrust earthquake sequences, comprising mainshocks and triggered aftershocks along the subduction interface and in the overriding crust, can impact multiple buildings and infrastructure in a city. The time between the mainshocks and aftershocks usually is too short to retrofit the structures; therefore, moderate-size aftershocks can cause additional damage. To have a better understanding of the impact of aftershocks on city-wide seismic risk assessment, a new simulation framework of spatiotemporal seismic hazard and risk assessment of future M9.0 sequences in the Cascadia subduction zone is developed. The simulation framework consists of an epidemic-type aftershock sequence (ETAS) model, ground-motion model, and state-dependent seismic fragility model. The spatiotemporal ETAS model is modified to characterise aftershocks of large and anisotropic M9.0 mainshock ruptures. To account for damage accumulation of wood-frame houses due to aftershocks in Victoria, British Columbia, Canada, state-dependent fragility curves are implemented. The new simulation framework can be used for quasi-real-time aftershock hazard and risk assessments and city-wide post-event risk management.

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Ground‐Motion Prediction Equations for Subduction Interface Earthquakes in Japan Using Site Class and Simple Geometric Attenuation Functions

Cited by 82 publications

References 17 publications

A horizontal ground-motion model for crustal and subduction earthquakes in Taiwan

A horizontal ground-motion model for crustal and subduction earthquakes in Taiwan

Seismotectonic model and probabilistic seismic hazard assessment for Papua New Guinea

Spatiotemporal seismic hazard and risk assessment of M9.0 megathrust earthquake sequences of wood‐frame houses in Victoria, British Columbia, Canada

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