Horizontal-to-Vertical Spectral Ratio of Ambient Vibration Obtained with Hilbert–Huang Transform
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 combinati...
| Main Authors: | , , , , , |
|---|---|
| Format: | info:eu-repo/semantics/article |
| Language: | English |
| Published: |
MDPI
2021
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10835/12010 https://doi.org/10.3390/s21093292 |
| _version_ | 1789406419751010304 |
|---|---|
| author | Neukirch, Maik García Jerez, Antonio Villaseñor, Antonio Luzón Martínez, Francisco Ruiz, Mario Molina Sánchez, Luis |
| author_facet | Neukirch, Maik García Jerez, Antonio Villaseñor, Antonio Luzón Martínez, Francisco Ruiz, Mario Molina Sánchez, Luis |
| author_sort | Neukirch, Maik |
| collection | DSpace |
| description | 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 |
| format | info:eu-repo/semantics/article |
| id | oai:repositorio.ual.es:10835-12010 |
| institution | Universidad de Cuenca |
| language | English |
| publishDate | 2021 |
| publisher | MDPI |
| record_format | dspace |
| spelling | oai:repositorio.ual.es:10835-120102023-04-12T18:58:02Z Horizontal-to-Vertical Spectral Ratio of Ambient Vibration Obtained with Hilbert–Huang Transform Neukirch, Maik García Jerez, Antonio Villaseñor, Antonio Luzón Martínez, Francisco Ruiz, Mario Molina Sánchez, Luis HVSR non-stationary data processing 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 2021-07-21T10:43:59Z 2021-07-21T10:43:59Z 2021-05-10 info:eu-repo/semantics/article 1424-8220 http://hdl.handle.net/10835/12010 https://doi.org/10.3390/s21093292 en https://www.mdpi.com/1424-8220/21/9/3292 Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess MDPI |
| spellingShingle | HVSR non-stationary data processing Neukirch, Maik García Jerez, Antonio Villaseñor, Antonio Luzón Martínez, Francisco Ruiz, Mario Molina Sánchez, Luis Horizontal-to-Vertical Spectral Ratio of Ambient Vibration Obtained with Hilbert–Huang Transform |
| title | Horizontal-to-Vertical Spectral Ratio of Ambient Vibration Obtained with Hilbert–Huang Transform |
| title_full | Horizontal-to-Vertical Spectral Ratio of Ambient Vibration Obtained with Hilbert–Huang Transform |
| title_fullStr | Horizontal-to-Vertical Spectral Ratio of Ambient Vibration Obtained with Hilbert–Huang Transform |
| title_full_unstemmed | Horizontal-to-Vertical Spectral Ratio of Ambient Vibration Obtained with Hilbert–Huang Transform |
| title_short | Horizontal-to-Vertical Spectral Ratio of Ambient Vibration Obtained with Hilbert–Huang Transform |
| title_sort | horizontal-to-vertical spectral ratio of ambient vibration obtained with hilbert–huang transform |
| topic | HVSR non-stationary data processing |
| url | http://hdl.handle.net/10835/12010 https://doi.org/10.3390/s21093292 |
| work_keys_str_mv | AT neukirchmaik horizontaltoverticalspectralratioofambientvibrationobtainedwithhilberthuangtransform AT garciajerezantonio horizontaltoverticalspectralratioofambientvibrationobtainedwithhilberthuangtransform AT villasenorantonio horizontaltoverticalspectralratioofambientvibrationobtainedwithhilberthuangtransform AT luzonmartinezfrancisco horizontaltoverticalspectralratioofambientvibrationobtainedwithhilberthuangtransform AT ruizmario horizontaltoverticalspectralratioofambientvibrationobtainedwithhilberthuangtransform AT molinasanchezluis horizontaltoverticalspectralratioofambientvibrationobtainedwithhilberthuangtransform |