Fingerprint Identification Using Noise in the Horizontal-to-Vertical Spectral Ratio: Retrieving the Impedance Contrast Structure for the Almaty Basin (Kazakhstan)

Detailed knowledge of the 3D basin structure underlying urban areas is of major importance for improving the assessment of seismic hazard and risk. However, mapping the major features of the shallow geological layers becomes expensive where large areas need to be covered. In this study, we propose a...

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Main Authors: Stefano Parolai, Francesco Emanuele Maesano, Roberto Basili, Natalya Silacheva, Tobias Boxberger, Marco Pilz
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-12-01
Series:Frontiers in Earth Science
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/feart.2019.00336/full
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spelling doaj-544faacfb9534d17811db2b2d96945062020-11-25T01:48:11ZengFrontiers Media S.A.Frontiers in Earth Science2296-64632019-12-01710.3389/feart.2019.00336496615Fingerprint Identification Using Noise in the Horizontal-to-Vertical Spectral Ratio: Retrieving the Impedance Contrast Structure for the Almaty Basin (Kazakhstan)Stefano Parolai0Francesco Emanuele Maesano1Roberto Basili2Natalya Silacheva3Tobias Boxberger4Marco Pilz5Istituto Nazionale di Oceanografia e di Geofisica Sperimentale, Sgonico, ItalyIstituto Nazionale di Geofisica e Vulcanologia, Rome, ItalyIstituto Nazionale di Geofisica e Vulcanologia, Rome, ItalyLLC, Institute of Seismology, Almaty, KazakhstanHelmholtz Centre Potsdam – GFZ, Potsdam, GermanyHelmholtz Centre Potsdam – GFZ, Potsdam, GermanyDetailed knowledge of the 3D basin structure underlying urban areas is of major importance for improving the assessment of seismic hazard and risk. However, mapping the major features of the shallow geological layers becomes expensive where large areas need to be covered. In this study, we propose an innovative tool, based mainly on single station noise recordings and the horizontal-to-vertical spectral ratio (H/V), to identify and locate the depth of major impedance contrasts. The method is based on an identification of so-called fingerprints of the major impedance discontinuities and their migration to depth by means of an analytical procedure. The method is applied to seismic noise recordings collected in the city of Almaty (Kazakhstan). The estimated impedance contrasts vs. depth profiles are interpolated in order to derive a three-dimensional (3D) model, which after calibration with some available boreholes data allows the major tectonic features in the subsurface to be identified.https://www.frontiersin.org/article/10.3389/feart.2019.00336/fullH/V seismic noiseAlmaty basinsite responseimpedance contrastseismic hazard
collection DOAJ
language English
format Article
sources DOAJ
author Stefano Parolai
Francesco Emanuele Maesano
Roberto Basili
Natalya Silacheva
Tobias Boxberger
Marco Pilz
spellingShingle Stefano Parolai
Francesco Emanuele Maesano
Roberto Basili
Natalya Silacheva
Tobias Boxberger
Marco Pilz
Fingerprint Identification Using Noise in the Horizontal-to-Vertical Spectral Ratio: Retrieving the Impedance Contrast Structure for the Almaty Basin (Kazakhstan)
Frontiers in Earth Science
H/V seismic noise
Almaty basin
site response
impedance contrast
seismic hazard
author_facet Stefano Parolai
Francesco Emanuele Maesano
Roberto Basili
Natalya Silacheva
Tobias Boxberger
Marco Pilz
author_sort Stefano Parolai
title Fingerprint Identification Using Noise in the Horizontal-to-Vertical Spectral Ratio: Retrieving the Impedance Contrast Structure for the Almaty Basin (Kazakhstan)
title_short Fingerprint Identification Using Noise in the Horizontal-to-Vertical Spectral Ratio: Retrieving the Impedance Contrast Structure for the Almaty Basin (Kazakhstan)
title_full Fingerprint Identification Using Noise in the Horizontal-to-Vertical Spectral Ratio: Retrieving the Impedance Contrast Structure for the Almaty Basin (Kazakhstan)
title_fullStr Fingerprint Identification Using Noise in the Horizontal-to-Vertical Spectral Ratio: Retrieving the Impedance Contrast Structure for the Almaty Basin (Kazakhstan)
title_full_unstemmed Fingerprint Identification Using Noise in the Horizontal-to-Vertical Spectral Ratio: Retrieving the Impedance Contrast Structure for the Almaty Basin (Kazakhstan)
title_sort fingerprint identification using noise in the horizontal-to-vertical spectral ratio: retrieving the impedance contrast structure for the almaty basin (kazakhstan)
publisher Frontiers Media S.A.
series Frontiers in Earth Science
issn 2296-6463
publishDate 2019-12-01
description Detailed knowledge of the 3D basin structure underlying urban areas is of major importance for improving the assessment of seismic hazard and risk. However, mapping the major features of the shallow geological layers becomes expensive where large areas need to be covered. In this study, we propose an innovative tool, based mainly on single station noise recordings and the horizontal-to-vertical spectral ratio (H/V), to identify and locate the depth of major impedance contrasts. The method is based on an identification of so-called fingerprints of the major impedance discontinuities and their migration to depth by means of an analytical procedure. The method is applied to seismic noise recordings collected in the city of Almaty (Kazakhstan). The estimated impedance contrasts vs. depth profiles are interpolated in order to derive a three-dimensional (3D) model, which after calibration with some available boreholes data allows the major tectonic features in the subsurface to be identified.
topic H/V seismic noise
Almaty basin
site response
impedance contrast
seismic hazard
url https://www.frontiersin.org/article/10.3389/feart.2019.00336/full
work_keys_str_mv AT stefanoparolai fingerprintidentificationusingnoiseinthehorizontaltoverticalspectralratioretrievingtheimpedancecontraststructureforthealmatybasinkazakhstan
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AT robertobasili fingerprintidentificationusingnoiseinthehorizontaltoverticalspectralratioretrievingtheimpedancecontraststructureforthealmatybasinkazakhstan
AT natalyasilacheva fingerprintidentificationusingnoiseinthehorizontaltoverticalspectralratioretrievingtheimpedancecontraststructureforthealmatybasinkazakhstan
AT tobiasboxberger fingerprintidentificationusingnoiseinthehorizontaltoverticalspectralratioretrievingtheimpedancecontraststructureforthealmatybasinkazakhstan
AT marcopilz fingerprintidentificationusingnoiseinthehorizontaltoverticalspectralratioretrievingtheimpedancecontraststructureforthealmatybasinkazakhstan
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