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Article

Horizontal-to-Vertical Spectral Ratio of Ambient Vibration Obtained with Hilbert–Huang Transform

1
Geosciences Barcelona, GEO3BCN-CSIC, C/Lluis Solé i Sabarís s/n, 08028 Barcelona, Spain
2
Department of Chemistry and Physics, University of Almería, Carretera Sacramento s/n, La Cañada de San Urbano, 04120 Almería, Spain
3
Institute of Marine Sciences, ICM-CSIC, Passeig Marítim de la Barceloneta 37-49, 08003 Barcelona, Spain
4
Department of Biology and Geology, University of Almería, Carretera Sacramento s/n, La Cañada de San Urbano, 04120 Almería, Spain
*
Author to whom correspondence should be addressed.
Academic Editor: Claudia Troise
Sensors 2021, 21(9), 3292; https://doi.org/10.3390/s21093292
Received: 6 April 2021 / Revised: 30 April 2021 / Accepted: 6 May 2021 / Published: 10 May 2021
(This article belongs to the Special Issue Data Acquisition and Analysis of Seismic Noise)
The Horizontal-to-Vertical Spectral Ratio (HVSR) of ambient vibration measurements is a common tool to explore near surface shear wave velocity (Vs) structure. HVSR is often applied for earthquake risk assessments and civil engineering projects. Ambient vibration signal originates from the combination of a multitude of natural and man-made sources. Ambient vibration sources can be any ground motion inducing phenomena, e.g., ocean waves, wind, industrial activity or road traffic, where each source does not need to be strictly stationary even during short times. Typically, the Fast Fourier Transform (FFT) is applied to obtain spectral information from the measured time series in order to estimate the HVSR, even though possible non-stationarity may bias the spectra and HVSR estimates. This problem can be alleviated by employing the Hilbert–Huang Transform (HHT) instead of FFT. Comparing 1D inversion results for FFT and HHT-based HVSR estimates from data measured at a well studied, urban, permanent station, we find that HHT-based inversion models may yield a lower data misfit χ2 by up to a factor of 25, a more appropriate Vs model according to available well-log lithology, and higher confidence in the achieved model. View Full-Text
Keywords: HVSR; non-stationary; data processing HVSR; non-stationary; data processing
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MDPI and ACS Style

Neukirch, M.; García-Jerez, A.; Villaseñor, A.; Luzón, F.; Ruiz, M.; Molina, L. Horizontal-to-Vertical Spectral Ratio of Ambient Vibration Obtained with Hilbert–Huang Transform. Sensors 2021, 21, 3292. https://doi.org/10.3390/s21093292

AMA Style

Neukirch M, García-Jerez A, Villaseñor A, Luzón F, Ruiz M, Molina L. Horizontal-to-Vertical Spectral Ratio of Ambient Vibration Obtained with Hilbert–Huang Transform. Sensors. 2021; 21(9):3292. https://doi.org/10.3390/s21093292

Chicago/Turabian Style

Neukirch, Maik, Antonio García-Jerez, Antonio Villaseñor, Francisco Luzón, Mario Ruiz, and Luis Molina. 2021. "Horizontal-to-Vertical Spectral Ratio of Ambient Vibration Obtained with Hilbert–Huang Transform" Sensors 21, no. 9: 3292. https://doi.org/10.3390/s21093292

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