Ground-Motion Dependency on Seasonal Variations: Observations at the ARGONET Array, Cephalonia, Greece

ABSTRACT We use 964 earthquake records from the ARGONET, Cephalonia, Greece, array database to investigate the possible seasonal variation of ground motion at two surface and four borehole stations. We first apply the standard spectral ratio (SSR) method to compute the spectral site amplification factor, SAF(f), using as reference the deepest borehole station of the array, which is located at the engineering bedrock. We identify clear manifestations of a seasonal variation at both surface stations, even though one of them is installed on rock. At the deeper stations, the seasonal variation is only detectable in the high-frequency part of the vertical component at shallow depth, or is not detectable at all. This implies that the driving mechanism of the phenomenon operates at shallow depth. The identified good correlation of the observed cyclic variation with meteorological parameters, that is, rainfall and air temperature, suggests that the atmosphere–soil interaction and the hydrological system contribute to this mechanism. The seasonal variation at the two surface stations is observed at high frequencies (generally > 20 Hz). We show that correcting for this variation in SSR through appropriate modeling leads to more reliable estimates of the mean SAF at high frequencies, by reducing the associated standard deviation. As a second step, we compute horizontal-to-vertical spectral ratios (HVSRs) using the same dataset and verify that the dominant features of the identified seasonal variation (or its absence at deeper stations) are also traceable by this method. This suggests that at sites with abundant data, HVSRs could provide direct information on the importance of the seasonal variation in ground motion, without the need for a reference station.

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Publication Details

Journal
Bulletin of the Seismological Society of America
Published
2025-05-15
DOI
https://doi.org/10.1785/0120240175
Primary Topic
Seismic Waves and Analysis
Type
article
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article

Ground-Motion Dependency on Seasonal Variations: Observations at the ARGONET Array, Cephalonia, Greece

Ioannis Grendas, Zafeiria Roumelioti, Nikolaos P. Theodoulidis, Fabrice Hollender
Bulletin of the Seismological Society of America
Seismic Waves and Analysis
article

Ground-Motion Dependency on Seasonal Variations: Observations at the ARGONET Array, Cephalonia, Greece

Ioannis Grendas, Zafeiria Roumelioti, Nikolaos P. Theodoulidis, Fabrice Hollender
article en

Abstract

ABSTRACT We use 964 earthquake records from the ARGONET, Cephalonia, Greece, array database to investigate the possible seasonal variation of ground motion at two surface and four borehole stations. We first apply the standard spectral ratio (SSR) method to compute the spectral site amplification factor, SAF(f), using as reference the deepest borehole station of the array, which is located at the engineering bedrock. We identify clear manifestations of a seasonal variation at both surface stations, even though one of them is installed on rock. At the deeper stations, the seasonal variation is only detectable in the high-frequency part of the vertical component at shallow depth, or is not detectable at all. This implies that the driving mechanism of the phenomenon operates at shallow depth. The identified good correlation of the observed cyclic variation with meteorological parameters, that is, rainfall and air temperature, suggests that the atmosphere–soil interaction and the hydrological system contribute to this mechanism. The seasonal variation at the two surface stations is observed at high frequencies (generally > 20 Hz). We show that correcting for this variation in SSR through appropriate modeling leads to more reliable estimates of the mean SAF at high frequencies, by reducing the associated standard deviation. As a second step, we compute horizontal-to-vertical spectral ratios (HVSRs) using the same dataset and verify that the dominant features of the identified seasonal variation (or its absence at deeper stations) are also traceable by this method. This suggests that at sites with abundant data, HVSRs could provide direct information on the importance of the seasonal variation in ground motion, without the need for a reference station.

Bulletin of the Seismological Society of AmericaVol. 115(4)
Centre National de la Recherche Scientifique (FR), University of Patras (GR), Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR), CEA Cadarache (FR), Institut des Sciences de la Terre (FR), Institute of Engineering Seismology and Earthquake Engineering (GR), Université Gustave Eiffel (FR), Institut de Recherche pour le Développement (FR), Université Savoie Mont Blanc (FR), Université Grenoble Alpes (FR)
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Seismic Waves and Analysis
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