Magnitude-Scaling Rate in Ground-Motion Prediction Equations for Response Spectra from Large, Shallow Crustal Earthquakes

2011 ◽  
Vol 101 (6) ◽  
pp. 2643-2661 ◽  
Author(s):  
J. X. Zhao ◽  
M. Lu
2019 ◽  
Vol 109 (6) ◽  
pp. 2722-2737
Author(s):  
Ryota Kiuchi ◽  
Walter D. Mooney ◽  
Hani M. Zahran

Abstract Ground‐motion prediction equations (GMPEs) for western Saudi Arabia are developed by employing a mixed‐effects regression model to modify the Boore et al. (2014) Next Generation Attenuation‐West2 (NGA‐West2) project GMPEs. NGA‐West2 addressed several key issues concerning GMPEs for shallow crustal earthquakes in active tectonic regions. However, the NGA‐West2 results do not include many earthquakes in extensional regimes such as those occurring in Saudi Arabia. This deficiency is corrected by calculating a magnitude scaling of the new Saudi Arabia GMPEs compared to those of Boore et al. (2014). Furthermore, there is a clear difference in distance scaling for the Arabian GMPEs in comparison with the NGA‐West2 GMPEs. This difference is especially significant at large distances and is mainly due to lower anelastic attenuation in the crystalline crust of western Saudi Arabia. Our empirical data demonstrate the GMPEs presented here are in good agreement with observed earthquake ground motions in western Saudi Arabia.


2020 ◽  
pp. 875529302095734
Author(s):  
Zach Bullock ◽  
Abbie B Liel ◽  
Shideh Dashti ◽  
Keith A. Porter

Recent research has highlighted the usefulness of cumulative absolute velocity [Formula: see text] in several contexts, including using the [Formula: see text] at the ground surface for earthquake early warning and using the [Formula: see text] at rock reference conditions for evaluation of the liquefaction risk facing structures. However, there are relatively few ground motion prediction equations for CAV, they are based on relatively small data sets, and they give relatively similar results. This study develops nine ground motion prediction equations for [Formula: see text] based on a global database of ground motion records from shallow crustal earthquakes. Its provision of nine models enables characterization of epistemic uncertainty for ranges of earthquake characteristics that are sparsely populated in the regression database. The functional forms provide different perspectives on extrapolation to important ranges of earthquake characteristics, particularly large magnitude events and short distances. The variability and epistemic uncertainty in the models are characterized. Spatial autocorrelation of the models’ errors is investigated. The models’ predictions agree with existing broadly applicable models at small to moderate magnitudes and moderate to long distances. These models can be used to improve hazard analysis of [Formula: see text] that incorporates the influence of epistemic uncertainty.


2019 ◽  
Vol 109 (6) ◽  
pp. 2691-2709 ◽  
Author(s):  
Xiaowen Lan ◽  
Hao Xing ◽  
Jun Zhou ◽  
John X. Zhao

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.


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