Validation of the New Procedures for Evaluating Parameters of Crustal Earthquakes Caused by Long Faults for Ground‐Motion Prediction

Dan, Kazuo; Ju, Dianshu; Fujiwara, Hiroyuki; Morikawa, Nobuyuki

doi:10.1785/0120180123

Cited by 3 publications

(3 citation statements)

References 18 publications

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“…These features for ruptures that break the entire seismogenic zone, can be explained by differences in fault rupture dynamics caused by difference in frictional properties between materials in the shallow part (weak zone) and deeper part of the crust (e.g. Pitarka et al 2009;Dalguer et al 2008;Song 2016;Dan et al 2018). The depth scaling of rise time and rupture speed prescribed in the GP2016 approach also reflects key observations where large shallow fault slip does not necessarily translate into large high-frequency motion radiation.…”

Section: Rupture Modelsmentioning

confidence: 93%

“…The characterization of earthquake rupture has been at the forefront of new developments in numerical methods for strong ground motion simulations of crustal and subduction zone earthquakes. Analyses of recent large earthquakes indicate that multi-scale earthquake rupture models that combine large-scale, large-slip features with smaller, but effective high-frequency seismic energy generation areas, better reproduce overall characteristics of ground motion on a broad frequency range (Irikura and Kurahashi 2018;Frankel et al 2018;Iwaki et al 2016a, b;Pulido et al 2015;Dan et al 2018;Miyake et al 2003;Sekiguchi et al 2008;Graves and Pitarka 2010;Pitarka et al 2000). Schemes that include spatial correlations and interdependency of rupture parameters guided by rupture dynamics modeling offer significant advantages for use in broadband ground motion simulations (Imperatori and Mai 2013;Song 2016;Schmedes et al 2013; Graves and Pitarka 2015;Crempien and Archuleta 2017;Withers et al 2018).…”

Section: Introductionmentioning

confidence: 99%

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Kinematic Rupture Modeling of Ground Motion from the M7 Kumamoto, Japan Earthquake

Pitarka

Irikura

Miyakoshi³

et al. 2019

Pure Appl. Geophys.

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We analyzed a kinematic earthquake rupture generator that combines the randomized spatial field approach of Graves and Pitarka (Bull Seismol Soc Am 106:2136-2153, 2016) (GP2016) with the multiple asperity characterization approach of Irikura and Miyake (Pure Appl Geophys 168:85-104, 2011) (IM2011, also known as Irikura recipe). The rupture generator uses a multi-scale hybrid approach that incorporates distinct features of both original approaches, such as small-scale stochastic rupture variability and depth-dependent scaling of rupture speed and slip rate, inherited from GP2016, and specification of discrete high slip rupture patches, inherited from IM2011. The performance of the proposed method is examined in simulations of broadband ground motion from the 2016 Kumamoto, Japan earthquake, as well as comparisons with ground motion prediction equations (GMPEs). We generated rupture models with multi-scale heterogeneity, including a hybrid one in which the slip is a combination of highslip patches and stochastic small scale variations. We find that the ground motions simulated with these rupture models match the general characteristics of the recorded near-fault motion equally well, over a broad frequency range (0-10 Hz). Additionally, the simulated ground motion is in good agreement with the predictions from Ground Motion Prediction Equations (GMPEs). Nonetheless, due to sensitivity of the ground motion to the local fault rupture characteristics, the performance among the models at near-fault sites is slightly different, with the hybrid model producing a somewhat better fit to the recorded ground velocity waveforms. Sensitivity tests of simulated near-fault ground motion to variations in the prescribed kinematic rupture parameters show that average rupture speeds higher than the default value in GP2016 (average rupture speed = 80% of local shear wave speed), as well as slip rate durations shorter than the default value in GP2016 (rise time coefficient = 1.6), generate ground motions that are higher than the recorded ones at periods longer than 1 s. We found that these two parameters also affect the along strike and updip rupture directivity effects, as illustrated in comparisons with the Kumamoto observations.

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Section: Rupture Modelsmentioning

confidence: 93%

Section: Introductionmentioning

confidence: 99%

Kinematic Rupture Modeling of Ground Motion from the M7 Kumamoto, Japan Earthquake

Pitarka

Irikura

Miyakoshi³

et al. 2019

Pure Appl. Geophys.

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“…Tables 3 and 4 lists the soil profiles for the wavenumber integration method and the stochastic Green's function method, respectively. These soil profiles were set in accordance with Sekiguchi and Iwata [2002] and Dan et al [2019], because they reproduced ground motions observed near the fault of the 1999 Kocaeli, Turkey, earthquake.…”

Section: Strong Motions Calculated By the Recipe For The Second-stage Earthquakesmentioning

confidence: 99%

Applicability of the Japanese Recipe for Predicting Strong Ground Motions by Herp to Europe and Middle East Crustal Earthquakes

Dan¹,

Tohdo²,

Irie³

2020

Journal of JAEE

Self Cite

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The procedure of evaluating fault parameters, so called Recipe, for predicting strong ground motions by the HERP [Headquarters for Earthquake Research Promotion, 2005], Japan, is often applied to assessment of design input earthquake motions for nuclear power plants in Japan. Due to this situation, the International Atomic Energy Agency [2015] adopted this Recipe in Safety Report Series No. 85. However, this Recipe was validated only for Japanese earthquakes. Hence, we examined the validation of the Recipe by comparing the estimated strong ground motions based on the Recipe with those by the GMPE (Ground Motion Prediction Equation) obtained by Akkar et al. [2014] from the Europe and Middle East crustal earthquakes. We concluded that the short-period level in the Recipe should be reduced to 50% for the second-stage earthquakes and that the stress drop equation of a circular crack should be altered. We also concluded that the short-period level should be reduced to 55% for the first-stage earthquakes under the condition that the stress drop equation of a circular crack should be maintained.

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A comprehensive analysis and prediction of earthquake magnitude based on position and depth parameters using machine and deep learning models

Jain

Nayyar

Arora

et al. 2021

Multimed Tools Appl

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Validation of the New Procedures for Evaluating Parameters of Crustal Earthquakes Caused by Long Faults for Ground‐Motion Prediction

Cited by 3 publications

References 18 publications

Kinematic Rupture Modeling of Ground Motion from the M7 Kumamoto, Japan Earthquake

Kinematic Rupture Modeling of Ground Motion from the M7 Kumamoto, Japan Earthquake

Applicability of the Japanese Recipe for Predicting Strong Ground Motions by Herp to Europe and Middle East Crustal Earthquakes

A comprehensive analysis and prediction of earthquake magnitude based on position and depth parameters using machine and deep learning models

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