Publication type: Article in scientific journal
Type of review: Peer review (publication)
Title: Site characterization of Swiss strong-motion stations : the benefit of advanced processing algorithms
Authors: Hobiger, Manuel
Bergamo, Paolo
Imperatori, Walter
Panzera, Francesco
Marrios Lontsi, Agostiny
Perron, Vincent
Michel, Clotaire
Burjánek, Jan
Fäh, Donat
et. al: No
DOI: 10.1785/0120200316
Published in: Bulletin of the Seismological Society of America
Volume(Issue): 111
Issue: 4
Page(s): 1713
Pages to: 1739
Issue Date: Aug-2021
Publisher / Ed. Institution: Seismological Society of America
ISSN: 0037-1106
1943-3573
Language: English
Subjects: Switzerland; Surface waves; Velocity structure; Ground motion; Liquefaction; Geophysics
Subject (DDC): 551: Geology and hydrology
Abstract: Since 2009, 91 new strong‐motion stations were built for the renewal of the Swiss Strong Motion Network. Another nine stations will be installed until 2022. For each new station, an extensive site characterization study is performed to model the 1D seismic‐velocity profile and, for some sites, the liquefaction potential. Geophysical (passive and active surface‐wave methods) and geotechnical cone penetration test (CPT) with additional pore‐pressure measurement (CPTu) and seismic CPT (SCPT) methods are used. Analyzing the passive and active recordings with a variety of established and advanced methods, the fundamental frequency of the site, the polarization of the wavefield, the Love‐ and Rayleigh‐wave phase‐velocity dispersion curves, and the Rayleigh‐wave ellipticity function are retrieved. The liquefaction potential is assessed using CPTu. SCPT measurements are sometimes used to determine the shallow underground structure. The benefits of the combination of different appropriate methods are shown for two examples—the borehole station SBUS in Buochs and the upcoming borehole station SCME in Collombey‐Muraz. At both the sites, the CPTu measurements show an elevated liquefaction potential. Combining the passive and active data, the dispersion curves for Love and Rayleigh waves and Rayleigh‐wave ellipticity curves are retrieved over a wide‐frequency range and inverted for the S‐wave velocity profile, in which the shallow part is constrained by the active or SCPT data, the intermediate part by the dispersion curves of the passive methods, and the deepest part by the ellipticity information. For Buochs, the 1D SH‐wave amplification functions modeled for the velocity profiles are compared with the empirical amplification for earthquake recordings. Finally, an overview of the site characterization results for 52 of the newly installed seismic stations is given.
URI: https://digitalcollection.zhaw.ch/handle/11475/30514
Fulltext version: Published version
License (according to publishing contract): Licence according to publishing contract
Departement: School of Engineering
Organisational Unit: Institute of Sustainable Development (INE)
Appears in collections:Publikationen School of Engineering

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Hobiger, M., Bergamo, P., Imperatori, W., Panzera, F., Marrios Lontsi, A., Perron, V., Michel, C., Burjánek, J., & Fäh, D. (2021). Site characterization of Swiss strong-motion stations : the benefit of advanced processing algorithms. Bulletin of the Seismological Society of America, 111(4), 1713–1739. https://doi.org/10.1785/0120200316
Hobiger, M. et al. (2021) ‘Site characterization of Swiss strong-motion stations : the benefit of advanced processing algorithms’, Bulletin of the Seismological Society of America, 111(4), pp. 1713–1739. Available at: https://doi.org/10.1785/0120200316.
M. Hobiger et al., “Site characterization of Swiss strong-motion stations : the benefit of advanced processing algorithms,” Bulletin of the Seismological Society of America, vol. 111, no. 4, pp. 1713–1739, Aug. 2021, doi: 10.1785/0120200316.
HOBIGER, Manuel, Paolo BERGAMO, Walter IMPERATORI, Francesco PANZERA, Agostiny MARRIOS LONTSI, Vincent PERRON, Clotaire MICHEL, Jan BURJÁNEK und Donat FÄH, 2021. Site characterization of Swiss strong-motion stations : the benefit of advanced processing algorithms. Bulletin of the Seismological Society of America. August 2021. Bd. 111, Nr. 4, S. 1713–1739. DOI 10.1785/0120200316
Hobiger, Manuel, Paolo Bergamo, Walter Imperatori, Francesco Panzera, Agostiny Marrios Lontsi, Vincent Perron, Clotaire Michel, Jan Burjánek, and Donat Fäh. 2021. “Site Characterization of Swiss Strong-Motion Stations : The Benefit of Advanced Processing Algorithms.” Bulletin of the Seismological Society of America 111 (4): 1713–39. https://doi.org/10.1785/0120200316.
Hobiger, Manuel, et al. “Site Characterization of Swiss Strong-Motion Stations : The Benefit of Advanced Processing Algorithms.” Bulletin of the Seismological Society of America, vol. 111, no. 4, Aug. 2021, pp. 1713–39, https://doi.org/10.1785/0120200316.


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