An Earthquake Classification Scheme Adapted for Japan Determined by the Goodness of Fit for Ground‐Motion Prediction Equations

2015 ◽  
Vol 105 (5) ◽  
pp. 2750-2763 ◽  
Author(s):  
John X. Zhao ◽  
Shuanglin Zhou ◽  
Pingjun Gao ◽  
Tao Long ◽  
Yingbin Zhang ◽  
...  
Keyword(s):  
Ground Motion ◽  
Goodness Of Fit ◽  
Classification Scheme ◽  
Motion Prediction ◽  
Ground Motion Prediction Equations ◽  
Prediction Equations ◽  
Ground Motion Prediction

A Comparison of the Source, Path, and Site Effects of the Strong‐Motion Records from the Western and the Southwestern Parts of China with Modern Ground‐Motion Prediction Equations

2019 ◽  
Vol 109 (6) ◽  
pp. 2691-2709 ◽  
Author(s):  
Xiaowen Lan ◽  
Hao Xing ◽  
Jun Zhou ◽  
John X. Zhao
Keyword(s):  
Ground Motion ◽  
Goodness Of Fit ◽  
Motion Prediction ◽  
Physical Parameters ◽  
Consistent Difference ◽  
Ground Motion Prediction Equations ◽  
Prediction Equations ◽  
Ground Motion Prediction ◽  
Site Class ◽  
Magnitude Scaling

Abstract This study aims at identifying ground‐motion prediction equations (GMPEs) derived from large overseas datasets that may be used for the southwestern part of China (SWC) with or without modifications, identifying the source of misfits and shedding some light on the differences of physical parameters among the three regions, that is, California, Japan, and SWC region. To achieve these objectives, correction functions of physical parameters were added to six GMPEs, including two Next Generation Attenuation‐West (NGA‐West) GMPEs, two NGA‐West2 GMPEs, a GMPE from China, and the GMPE for the shallow crustal and upper‐mantle earthquakes in Japan. The correction coefficients were determined by a reasonably large dataset, including the records from the 2008 Mw 7.9 Wenchuan earthquake. However, the data distribution with respect to magnitude is relatively poor and may not be suitable to develop a GMPE based on this dataset only. If the overall correction coefficients for a GMPE are the smallest, this GMPE will be considered as the best GMPE for the SWC data. We found that not all GMPEs can be modified to achieve the same goodness‐of‐fit level; the magnitude scaling rates from most GMPEs differ significantly from those of this dataset, especially at moderately long and long spectral periods; and the aftershock effect does not make a significant and consistent difference. We also found that three GMPEs do not model the site effect well either; the attenuation rates for the SWC region may be similar to those in California and for the shallow crust in Japan; and the magnitude scaling rate and the site class effect in the SWC region are similar to those in Japan. If an overseas GMPE is used for the SWC region, the GMPEs by Zhao, Zhou, et al. (2016) without the normal‐fault term and Abrahamson and Silva (2008) with or without modifications are recommended.

scholarly journals Ground Motion Prediction Equations for Malaysia Due to Subduction Zone Earthquakes in Sumatran Region

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 23920-23937
Author(s):  
M. S. Liew ◽  
Kamaluddeen Usman Danyaro ◽  
Mazlina Mohamad ◽  
Lim Eu Shawn ◽  
Aziz Aulov
Keyword(s):  
Subduction Zone ◽  
Ground Motion ◽  
Motion Prediction ◽  
Ground Motion Prediction Equations ◽  
Prediction Equations ◽  
Ground Motion Prediction ◽  
Subduction Zone Earthquakes

scholarly journals Ground motions in urban Los Angeles from the 2019 Ridgecrest earthquake sequence

2021 ◽  
pp. 875529302110039
Author(s):  
Filippos Filippitzis ◽  
Monica D Kohler ◽  
Thomas H Heaton ◽  
Robert W Graves ◽  
Robert W Clayton ◽  
...  
Keyword(s):  
Los Angeles ◽  
Ground Motion ◽  
Ground Motions ◽  
Earthquake Sequence ◽  
Motion Prediction ◽  
Ground Motion Prediction Equations ◽  
Prediction Equations ◽  
Ground Motion Prediction ◽  
Velocity Models ◽  
Spectral Accelerations

We study ground-motion response in urban Los Angeles during the two largest events (M7.1 and M6.4) of the 2019 Ridgecrest earthquake sequence using recordings from multiple regional seismic networks as well as a subset of 350 stations from the much denser Community Seismic Network. In the first part of our study, we examine the observed response spectral (pseudo) accelerations for a selection of periods of engineering significance (1, 3, 6, and 8 s). Significant ground-motion amplification is present and reproducible between the two events. For the longer periods, coherent spectral acceleration patterns are visible throughout the Los Angeles Basin, while for the shorter periods, the motions are less spatially coherent. However, coherence is still observable at smaller length scales due to the high spatial density of the measurements. Examining possible correlations of the computed response spectral accelerations with basement depth and Vs30, we find the correlations to be stronger for the longer periods. In the second part of the study, we test the performance of two state-of-the-art methods for estimating ground motions for the largest event of the Ridgecrest earthquake sequence, namely three-dimensional (3D) finite-difference simulations and ground motion prediction equations. For the simulations, we are interested in the performance of the two Southern California Earthquake Center 3D community velocity models (CVM-S and CVM-H). For the ground motion prediction equations, we consider four of the 2014 Next Generation Attenuation-West2 Project equations. For some cases, the methods match the observations reasonably well; however, neither approach is able to reproduce the specific locations of the maximum response spectral accelerations or match the details of the observed amplification patterns.

scholarly journals Selection of Ground Motion Prediction Equations for the Global Earthquake Model

2015 ◽  
Vol 31 (1) ◽  
pp. 19-45 ◽  
Author(s):  
Jonathan P. Stewart ◽  
John Douglas ◽  
Mohammad Javanbarg ◽  
Yousef Bozorgnia ◽  
Norman A. Abrahamson ◽  
...  
Keyword(s):  
Ground Motion ◽  
Selection Process ◽  
Selection Procedure ◽  
Empirical Models ◽  
Motion Prediction ◽  
Ground Motion Prediction Equations ◽  
Prediction Equations ◽  
Ground Motion Prediction ◽  
Intensity Measures ◽  
Earthquake Model

Ground motion prediction equations (GMPEs) relate ground motion intensity measures to variables describing earthquake source, path, and site effects. From many available GMPEs, we select those models recommended for use in seismic hazard assessments in the Global Earthquake Model. We present a GMPE selection procedure that evaluates multidimensional ground motion trends (e.g., with respect to magnitude, distance, and structural period), examines functional forms, and evaluates published quantitative tests of GMPE performance against independent data. Our recommendations include: four models, based principally on simulations, for stable continental regions; three empirical models for interface and in-slab subduction zone events; and three empirical models for active shallow crustal regions. To approximately incorporate epistemic uncertainties, the selection process accounts for alternate representations of key GMPE attributes, such as the rate of distance attenuation, which are defensible from available data. Recommended models for each domain will change over time as additional GMPEs are developed.

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