Estimation of S-wave Velocity Profiles of Deep Sedimentary Layers in Metropolitan Lima Using Seismic Interferometry

Eight shear wave velocity profiles of deep sedimentary layers in Lima, Peru, were determined using seismic interferometry. To achieve this objective, seven high-sensitivity sensors monitoring continuous ground motion were installed. Sensor data allowed the extraction of Green’s functions through cross-correlation analysis in the frequency domain. It was determined that continuous recording data with a minimum of 2,000 h (equivalent to three months) is necessary to obtain a Green’s function approximation. Dispersion curves of surfaces from 0.3 to 2 s were obtained from maximum values of Green’s functions between two stations after applying Gaussian filters. Thus, obtaining deep soil profiles through the inversion of dispersion curves extended to periods of around 1 s is possible. Finally, the estimated profiles were verified by comparing their theoretical ellipticity curves with H/V spectral ratios of microtremors, finding a good match for periods up to 1 s. These profiles reach depths and S-wave velocities of up to 600 m and 3,000 m/s, respectively.

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Publication Details

Journal
Journal of Disaster Research
Published
2025-12-01
DOI
https://doi.org/10.20965/jdr.2025.p0874
Primary Topic
Seismic Waves and Analysis
Type
article
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article

Estimation of S-wave Velocity Profiles of Deep Sedimentary Layers in Metropolitan Lima Using Seismic Interferometry

Zenón Aguilar, Carlos Gonzáles, Hiroaki Yamanaka, Kosuke Chimoto et al.
Journal of Disaster Research
Seismic Waves and Analysis
article

Estimation of S-wave Velocity Profiles of Deep Sedimentary Layers in Metropolitan Lima Using Seismic Interferometry

Zenón Aguilar, Carlos Gonzáles, Hiroaki Yamanaka, Kosuke Chimoto, H. Miyake, Hisao Kondo, G. Carrasco
article en

Abstract

Eight shear wave velocity profiles of deep sedimentary layers in Lima, Peru, were determined using seismic interferometry. To achieve this objective, seven high-sensitivity sensors monitoring continuous ground motion were installed. Sensor data allowed the extraction of Green’s functions through cross-correlation analysis in the frequency domain. It was determined that continuous recording data with a minimum of 2,000 h (equivalent to three months) is necessary to obtain a Green’s function approximation. Dispersion curves of surfaces from 0.3 to 2 s were obtained from maximum values of Green’s functions between two stations after applying Gaussian filters. Thus, obtaining deep soil profiles through the inversion of dispersion curves extended to periods of around 1 s is possible. Finally, the estimated profiles were verified by comparing their theoretical ellipticity curves with H/V spectral ratios of microtremors, finding a good match for periods up to 1 s. These profiles reach depths and S-wave velocities of up to 600 m and 3,000 m/s, respectively.

Journal of Disaster ResearchVol. 20(6)
Kagawa University (JP), Takamatsu University (JP), Association for the Development of Earthquake Prediction (JP), Geological Survey of Japan (JP), National University of Engineering (PE), National Institute of Advanced Industrial Science and Technology (JP), The University of Tokyo (JP)
Openalex Percentile: Top 62%
Seismic Waves and Analysis
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Estimation of S-wave Velocity Profiles of Deep Sedimentary Layers in Metropolitan Lima Using Seismic Interferometry — Zenón Aguilar, Carlos Gonzáles, et al. · Journal of Disaster Research (2025) | TGRS Research Map | TGRS