Abstract
Local S-wave velocity-depth profiles are a key factor in seismic hazard assessment, as they allow the amplification potential of the sedimentary cover to be evaluated. Ambient seismic noise is mainly composed of surface waves, and therefore contains vital information about the S-wave velocity structure, allowing polarization or dispersion curves to be obtained from single station or array noise recordings. At two sites in the area of Cologne, Germany, the extended spatial correlation method was applied to such recordings and apparent phase velocity curves in the frequency range of interest for earthquake engineering were obtained. Using this data, a linearized inversion, the simplex downhill method, and a genetic algorithm yielded similar S-wave profiles. However, the latter method is recommended since it is less dependent upon a good starting model. Importantly, the presence of low-velocity layers in the Cologne area made it necessary to consider in the frequency range of interest higher modes in the inversion procedures. Finally, independent information on the total thickness of the sedimentary cover permitted the estimation of a 2D S-wave velocity profile crossing the Cologne area. Here, the H/V ratio inversion using 20 single-station noise recordings was used, with the results in good agreement with a geological profile.
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Abbreviations
- ESAC:
-
extended spatial autocorrelation
- FTAN:
-
frequency time analysis
- GA:
-
genetic algorithm
- H/V:
-
horizontal-to-vertical
- LIN:
-
linearized inversion
- LV:
-
low velocity
- MASW:
-
multichannel analysis of surface waves
- RMS:
-
root mean square
- SASW:
-
spectral analysis of surface waves
- SDM:
-
simplex downhill method
- SPAC:
-
spatial autocorrelation method
- SSR:
-
standard spectral ratios
- SVD :
-
singular value decomposition
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Parolai, S., Richwalski, S.M., Milkereit, C. et al. S-wave Velocity Profiles for Earthquake Engineering Purposes for the Cologne Area (Germany). Bull Earthquake Eng 4, 65–94 (2006). https://doi.org/10.1007/s10518-005-5758-2
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DOI: https://doi.org/10.1007/s10518-005-5758-2