Bayesian interfrequency and interintensity empirical correlations of horizontal Fourier amplitude spectra using NGA-West2 data
- 25 July 2025
- journal article
- Published by Wiley in Earthquake Spectra
- Vol. 41 (4) , 3123-3143
Abstract
This article presents Bayesian interfrequency and interintensity empirical correlation coefficients of the horizontal Fourier effective amplitude spectrum (EAS) for frequencies ranging from 0.1 to 20 Hz. Interintensity correlations were calculated between the residuals of the EAS ordinates and the residuals of several peak and cumulative intensity measures, including 5%-damped pseudo-spectral acceleration (PSA), peak ground acceleration (PGA), peak ground velocity (PGV), cumulative absolute velocity (CAV), and Arias intensity (AI). The database used in the study consists of shallow crustal earthquakes in active tectonic regions. The correlation coefficients were calculated using bivariate Bayesian inference of the total residuals of ground-motion models developed by the authors. The component correlations were not found to be dependent on the magnitude of the event. Although the total correlations are magnitude-dependent because of the magnitude-dependent variance components used to calculate them, the differences are so small that the total large-magnitude correlations can be used for all magnitudes. The correlations are dependent on the component residual, the number of frequencies, and the type of ground-motion component. The interfrequency between-event correlations have the largest uncertainty and the weakest decrease with frequency away from the reference frequency than the other component correlations. The interfrequency correlations of EAS were found to be more peaked and to decrease faster away from the reference frequency than those of PSA. Nonetheless, EAS and PSA at the same frequency are strongly correlated with one another over a broad range of frequencies. The interintensity correlations between EAS and the other intensity measures are peaked in the mid-frequency range and do not show the same broadband correlation with EAS that PSA does.Keywords
Funding Information
- Pacific Gas & Electric Company
This publication has 33 references indexed in Scilit:
- Revision of empirical NGA-West2 horizontal ground-motion models using fixed-effects and mixed-effects regression and Bayesian inferenceBulletin of Earthquake Engineering, 2025
- Generating ground motions using the Fourier amplitude spectrumEarthquake Engineering & Structural Dynamics, 2023
- Time domain probabilistic seismic risk analysis using ground motion prediction equations of Fourier amplitude spectraSoil Dynamics and Earthquake Engineering, 2022
- Unifying individual differences in personality, predictability and plasticity: A practical guideMethods in Ecology and Evolution, 2021
- A frequency‐dependent ground‐motion spatial correlation model of within‐event residuals for Fourier amplitude spectraEarthquake Spectra, 2021
- NGA‐East Ground‐Motion Characterization model part I: Summary of products and model developmentEarthquake Spectra, 2021
- Quantifying individual variation in behaviour: mixed‐effect modelling approachesJournal of Animal Ecology, 2012
- Conditional Mean Spectrum: Tool for Ground-Motion SelectionJournal of Structural Engineering, 2011
- Pairwise Fitting of Mixed Models for the Joint Modeling of Multivariate Longitudinal ProfilesBiometrics, 2006
- Dicing with the UnknownSignificance, 2004