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

التفاصيل البيبلوغرافية
العنوان: Horizontal-to-Vertical Spectral Ratio of Ambient Vibration Obtained with Hilbert–Huang Transform
المؤلفون: Neukirch, Maik, García-Jerez, Antonio, Villaseñor, Antonio, Luzón, F., Ruiz Fernández, Mario, Molina Pardo, José Luis
المساهمون: Fondation Total, Junta de Andalucía, Ministerio de Economía y Competitividad (España), European Commission, Ruiz Fernández, Mario, Molina, Luis, Villaseñor, Antonio, Neukirch, Maik
بيانات النشر: Multidisciplinary Digital Publishing Institute
سنة النشر: 2021
المجموعة: Digital.CSIC (Consejo Superior de Investigaciones Científicas / Spanish National Research Council)
مصطلحات موضوعية: HVSR, Non-stationary, Data processing, Well logging, Wave propagation, Water waves, Shear waves, Risk assessment, Lithology, Fourier series, Fast Fourier transforms, Earthquake effects
الوصف: 16 pages, 8 figures, 4 tables.-- Data used in this work can be obtained by contacting labsis@geo3bcn.csic.es (for ICJA) or agarcia-jerez@ual.es (for EJDN). ; 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 by the authors. Licensee MDPI, Basel, Switzerland. ; This work was funded by TOTAL under the framework of the Orogen project, with funding from the Spanish government through the ?Severo Ochoa Centre of Excellence? accreditation (CEX2019-000928-S) and the research team RNM-194 of Junta de Andaluc?a (Spain). Data from station EJDN were obtained in the context of the CGL2014?59908-JIN project, founded by the Spanish Ministry of Economy and Competitiveness and the European Regional Development Fund. ; Peer reviewed
نوع الوثيقة: article in journal/newspaper
اللغة: English
تدمد: 1424-8220
العلاقة: #PLACEHOLDER_PARENT_METADATA_VALUE#; info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/CGL2014–59908-JIN; info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/CGL2014-59908-JIN; Publisher's version; https://doi.org/10.3390/s21093292Test; Sí; Sensors, 21(9): Article number 3292 (2021); CEX2019-000928-S; http://hdl.handle.net/10261/241166Test; http://dx.doi.org/10.13039/501100011011Test; http://dx.doi.org/10.13039/501100003329Test; http://dx.doi.org/10.13039/501100000780Test
DOI: 10.3390/s21093292
DOI: 10.13039/501100011011
DOI: 10.13039/501100003329
DOI: 10.13039/501100000780
الإتاحة: https://doi.org/10.3390/s21093292Test
https://doi.org/10.13039/501100011011Test
https://doi.org/10.13039/501100003329Test
https://doi.org/10.13039/501100000780Test
http://hdl.handle.net/10261/241166Test
حقوق: open
رقم الانضمام: edsbas.6D77B4F4
قاعدة البيانات: BASE
الوصف
تدمد:14248220
DOI:10.3390/s21093292