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Implementing horizontal-to-vertical Fourier spectral ratios and spatial correlation in a ground-motion prediction equation to predict site effects
- Source :
- Earthquake Spectra. 37:827-856
- Publication Year :
- 2020
- Publisher :
- SAGE Publications, 2020.
-
Abstract
- We propose a methodology to implement horizontal-to-vertical Fourier spectral ratios (HVRs) evaluated from strong ground motion induced by earthquake (EHVRs) or ambient ground motion observed from microtremor (MHVRs) individually and simultaneously with the spatial correlation (SC) in a ground-motion prediction equation (GMPE) to improve the prediction accuracy of site effects. We illustrated the methodology by developing an EHVRs-SC-based model which supplements Vs30 and Z1.0 with the SC and EHVRs collected at strong motion stations, and a MHVRs-SC-based model that supplements Vs30 and Z1.0 with the SC and MHVRs observed from microtremors at sites which were collocated with strong motion stations. The standard deviation of the station-specific residuals can be reduced by up to 90% when the proposed models are used to predict site effects. In the proposed models, the spatial distribution of the predicted station terms for peak ground acceleration (PGA) from MHVRs at 3699 sites is consistent with that of the predicted station terms for PGA from EHVRs at 721 strong motion stations. Prediction accuracy for stations with inferred Vs30 is similar to that of stations with measured Vs30 with the proposed models. This study provides a methodology to simultaneously implement SC and EHVRs, or SC and MHVRs in a GMPE to improve the prediction accuracy of site effects for a target site with available EHVRs or MHVRs information.
- Subjects :
- Physics
Ground motion
Spatial correlation
010504 meteorology & atmospheric sciences
010502 geochemistry & geophysics
Geotechnical Engineering and Engineering Geology
01 natural sciences
Computational physics
Strong ground motion
symbols.namesake
Geophysics
Fourier transform
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0105 earth and related environmental sciences
Subjects
Details
- ISSN :
- 19448201 and 87552930
- Volume :
- 37
- Database :
- OpenAIRE
- Journal :
- Earthquake Spectra
- Accession number :
- edsair.doi...........d598c756d75d3f8aa949678095868cf3