A ground motion prediction equation for JMA instrumental seismic intensity for shallow crustal earthquakes in active tectonic regimes

The JMA (Japan Meteorological Agency) seismic intensity scale has been used in Japan as a measure of earthquake ground shaking effects since 1949. It has traditionally been assessed after an earthquake based on the judgment of JMA officials. In 1996 the scale was revised as an instrumental seismic intensity measure (IJMA) that could be used to rapidly assess the expected damage after an earthquake without having to conduct a survey. Since its revision, Japanese researchers have developed several ground motion prediction equations (GMPEs) for IJMA using Japanese ground motion data. In this paper, we develop a new empirical GMPE for IJMA based on the strong motion database and functional forms used to develop similar GMPEs for peak response parameters as part of the PEER (Pacific Earthquake Engineering Research Center) Next Generation Attenuation (NGA) project. We consider this relationship to be valid for shallow crustal earthquakes in active tectonic regimes for moment magnitudes (M) ranging from 5.0 up to 7.5–8.5 (depending on fault mechanism) and rupture distances ranging from 0 to 200 km. A comparison of this GMPE with relationships developed by Japanese researchers for crustal and shallow subduction earthquakes shows relatively good agreement among all of the relationships at M 7.0 but relatively poor agreement at small magnitudes. Our GMPE predicts the highest intensities at small magnitudes, which together with research on other ground motion parameters, indicates that it provides conservative or upwardly biased estimates of IJMA for M<5.5. Copyright © 2010 John Wiley & Sons, Ltd.

[1]  J. Shoja-Taheri,et al.  A Test of the Applicability of NGA Models to the Strong Ground-Motion Data in the Iranian Plateau , 2009 .

[2]  Norman A. Abrahamson,et al.  Ground-Motion Attenuation Model for Small-To-Moderate Shallow Crustal Earthquakes in California and Its Implications on Regionalization of Ground-Motion Prediction Models , 2010 .

[3]  Charles S. Mueller,et al.  Documentation for the 2008 update of the United States National Seismic Hazard Maps , 2008 .

[4]  C. Allin Cornell,et al.  Nonlinear Soil-Site Effects in Probabilistic Seismic-Hazard Analysis , 2004 .

[5]  Yoshihisa Kobayashi,et al.  The study of the relation between the measured seismic intensity and the other indexes. , 1999 .

[6]  Gail M. Atkinson,et al.  Observations on Regional Variability in Ground-Motion Amplitudes for Small-to-Moderate Earthquakes in North America , 2009 .

[7]  Takaaki Kusakabe,et al.  ATTENUATION RELATIONSHIPS OF GROUND MOTION INTENSITY USING SHORT PERIOD LEVEL AS A VARIABLE , 2006 .

[8]  N. A. Abrahamson,et al.  A stable algorithm for regression analyses using the random effects model , 1992, Bulletin of the Seismological Society of America.

[9]  G. Lanzo,et al.  A Comparison of NGA Ground-Motion Prediction Equations to Italian Data , 2009 .

[10]  Mahmoud M. Hachem,et al.  Ground Motion Prediction Equation (“Attenuation Relationship”) for Inelastic Response Spectra , 2010 .

[11]  K. Campbell.  Next Generation Attenuation (NGA) empirical ground motion models : Can they be used in Europe , 2006 .

[12]  K. W. Campbell,et al.  Ground Motion Simulation Using the Hybrid Empirical Method: Issues and Insights , 2011 .

[13]  T. Furumura,et al.  Comparative Analysis of Two Methods for Instrumental Intensity Estimations using the Database Accumulated during Recent Large Earthquakes in Japan , 2008 .

[14]  ATTENUATION RELATION OF JMA SEISMIC INTENSITY APPLICABLE TO NEAR SOURCE REGION , 2006 .

[15]  Julian J. Bommer,et al.  An evaluation of the applicability of the NGA models to ground-motion prediction in the Euro-Mediterranean region , 2008 .

[16]  K. Campbell,et al.  NGA Ground Motion Model for the Geometric Mean Horizontal Component of PGA, PGV, PGD and 5% Damped Linear Elastic Response Spectra for Periods Ranging from 0.01 to 10 s , 2008 .

[17]  Kenneth W. Campbell,et al.  A Ground Motion Prediction Equation for the Horizontal Component of Cumulative Absolute Velocity (CAV) Based on the PEER-NGA Strong Motion Database , 2010 .

[18]  H. Thio,et al.  Attenuation Relations of Strong Ground Motion in Japan Using Site Classification Based on Predominant Period , 2006 .

[19]  K. Campbell.  Campbell-Bozorgnia NGA Ground Motion Relations for the Geometric Mean Horizontal Component of Peak and Spectral Ground Motion Parameters , 2007 .

[20]  P. Davenport.  Instrumental measures of earthquake intensity in New Zealand , 2003 .

[21]  J. Douglas.  Earthquake ground motion estimation using strong-motion records: a review of equations for the estimation of peak ground acceleration and response spectral ordinates , 2003 .

[22]  Maurice S. Power,et al.  An Overview of the NGA Project , 2008 .

[23]  Nick Gregor,et al.  NGA Project Strong-Motion Database , 2008 .

[24]  Kenneth W. Campbell,et al.  PACIFIC EARTHQUAKE ENGINEERING Analysis of Cumulative Absolute Velocity (CAV) and JMA Instrumental Seismic Intensity (I JMA ) Using the PEER-NGA Strong Motion Database , 2010 .

[25]  Iztok Peruš,et al.  Ground‐motion prediction by a non‐parametric approach , 2010 .

[26]  Y. Fukushima,et al.  Scaling relations for strong ground motion prediction models with M2 terms , 1996, Bulletin of the Seismological Society of America.

[27]  Fumio Yamazaki,et al.  A Proposal of Instrumental Seismic Intensity Scale Compatible with MMI Evaluated from Three-Component Acceleration Records , 2001 .

[28]  Fumio Yamazaki,et al.  Correlation of JMA instrumental seismic intensity with strong motion parameters , 2002 .