Site-Corrected Magnitude- and Region-Dependent Correlations of Horizontal Peak Spectral Amplitudes

Empirical correlations of horizontal peak spectral amplitudes (PSA) are modeled using the total-residuals obtained in a ground motion prediction equation (GMPE) regression. Recent GMPEs moved toward partially non-ergodic region- and site-specific predictions, while the residual correlation models remained largely ergodic. Using mixed-effects regression, we decompose the total-residuals of a pan-European GMPE into between-event, between-site, and event-and-site corrected residuals to investigate the ergodicity in empirical PSA correlations. We first observed that the between-event correlations are magnitude-dependent, partially due to the differences in source spectra, and influence of stress-drop parameter on small and large events. Next, removing the between-site residuals from within-event residuals yields the event-and-site corrected residuals which are found to be region-dependent, possibly due to the regional differences in distance-decay of short period PSAs. Using our site-corrected magnitude- and region-dependent correlations, and the between-site residuals as empirical site-specific ground motion adjustments, we compute partially non-ergodic conditional mean spectra at four well-recorded sites in Europe and Middle Eastern regions.09_EERI_33_4_Suppl_ES1_Online.xlsx

[1]  H. Hotelling.  New Light on the Correlation Coefficient and its Transforms , 1953 .

[2]  W. Silva,et al.  NGA-West2 Database , 2014 .

[3]  Dino Bindi,et al.  From Ergodic to Region- and Site-Specific Probabilistic Seismic Hazard Assessment: Method Development and Application at European and Middle Eastern Sites , 2017 .

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

[5]  B. N. Margaris,et al.  HEAD 1.0: A Unified HEllenic Accelerogram Database , 2004 .

[6]  Sinan Akkar,et al.  A Ground-Motion Predictive Model for Iran and Turkey for Horizontal PGA, PGV, and 5% Damped Response Spectrum: Investigation of Possible Regional Effects , 2015 .

[7]  Jack W. Baker,et al.  Conditional Mean Spectrum: Tool for Ground-Motion Selection , 2011 .

[8]  Paolo Bazzurro,et al.  Vector-valued Probabilistic Seismic Hazard Analysis (VPSHA) , 2002 .

[9]  Polat Gülkan,et al.  The recently compiled Turkish strong motion database: preliminary investigation for seismological parameters , 2010 .

[10]  Brendon A. Bradley,et al.  Intensity Measure Correlations Observed in the NGA-West2 Database, and Dependence of Correlations on Rupture and Site Parameters , 2017 .

[11]  J. Baker,et al.  A vector‐valued ground motion intensity measure consisting of spectral acceleration and epsilon , 2005 .

[12]  C. Cornell,et al.  Disaggregation of seismic hazard , 1999 .

[13]  L. Luzi,et al.  Reference database for seismic ground-motion in Europe (RESORCE) , 2014, Bulletin of Earthquake Engineering.

[14]  L. Luzi,et al.  Preliminary analysis of the accelerometric recordings of the August 24th, 2016 MW 6.0 Amatrice earthquake , 2016 .

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

[16]  J. Bommer,et al.  Comparisons among the five ground-motion models developed using RESORCE for the prediction of response spectral accelerations due to earthquakes in Europe and the Middle East , 2014, Bulletin of Earthquake Engineering.

[17]  BrianS-J. Chiou,et al.  An NGA Model for the Average Horizontal Component of Peak Ground Motion and Response Spectra , 2008 .

[18]  Gian Paolo Cimellaro.  Correlation in spectral accelerations for earthquakes in Europe , 2013 .

[19]  Alireza Azarbakht,et al.  Dependence of correlations between spectral accelerations at multiple periods on magnitude and distance , 2014 .

[20]  Linda Al Atik,et al.  A Model for Single‐Station Standard Deviation Using Data from Various Tectonic Regions , 2013 .

[21]  Julian J. Bommer,et al.  The Variability of Ground-Motion Prediction Models and Its Components , 2010 .

[22]  J. Baker,et al.  Correlation of Spectral Acceleration Values from NGA Ground Motion Models , 2008 .

[23]  D. Bates,et al.  Fitting Linear Mixed-Effects Models Using lme4 , 2014, 1406.5823.

[24]  Lucia Luzi,et al.  ITACA (ITalian ACcelerometric Archive): A Web Portal for the Dissemination of Italian Strong-motion Data , 2008 .

[25]  J. Douglas,et al.  Internet site for European strong-motion data , 2004 .

[26]  Norman A. Abrahamson,et al.  Summary of the ASK14 Ground Motion Relation for Active Crustal Regions , 2014 .

[27]  K. Campbell,et al.  NGA-West2 Ground Motion Model for the Average Horizontal Components of PGA, PGV, and 5% Damped Linear Acceleration Response Spectra , 2014 .

[28]  Dino Bindi,et al.  Partially non-ergodic region specific GMPE for Europe and Middle-East , 2016, Bulletin of Earthquake Engineering.

[29]  J. Baker,et al.  Correlation of response spectral values in Japanese ground motions , 2011 .

[30]  C. Cornell,et al.  Correlation of Response Spectral Values for Multicomponent Ground Motions , 2006 .

[31]  B. N. Margaris,et al.  The Cephalonia, Greece, January 26 (M6.1) and February 3, 2014 (M6.0) earthquakes: near-fault ground motion and effects on soil and structures , 2015, Bulletin of Earthquake Engineering.

[32]  J. Brune.  Tectonic stress and the spectra of seismic shear waves from earthquakes , 1970 .

[33]  Jonathan P. Stewart,et al.  NGA-West2 Equations for Predicting PGA, PGV, and 5% Damped PSA for Shallow Crustal Earthquakes , 2014 .