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Characterizing Ambient Seismic Noise in an Urban Park Environment

In this study, a method for characterizing ambient seismic noise in an urban park using a pair of Tromino3G+ seismographs simultaneously recording high-gain velocity along two axes (north-south and east-west) is presented. The motivation for this study is to provide design parameters for seismic sur...

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Autores principales: Saadia, Benjamin, Fotopoulos, Georgia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007610/
https://www.ncbi.nlm.nih.gov/pubmed/36904649
http://dx.doi.org/10.3390/s23052446
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author Saadia, Benjamin
Fotopoulos, Georgia
author_facet Saadia, Benjamin
Fotopoulos, Georgia
author_sort Saadia, Benjamin
collection PubMed
description In this study, a method for characterizing ambient seismic noise in an urban park using a pair of Tromino3G+ seismographs simultaneously recording high-gain velocity along two axes (north-south and east-west) is presented. The motivation for this study is to provide design parameters for seismic surveys conducted at a site prior to the installation of long-term permanent seismographs. Ambient seismic noise refers to the coherent component of the measured signal that comes from uncontrolled, or passive sources (natural and anthropogenic). Applications of interest include geotechnical studies, modeling the seismic response of infrastructure, surface monitoring, noise mitigation, and urban activity monitoring, which may exploit the use of well-distributed seismograph stations within an area of interest, recording on a days-to-years scale. An ideal well-distributed array of seismographs may not be feasible for all sites and therefore, it is important to identify means for characterizing the ambient seismic noise in urban environments and limitations imposed with a reduced spatial distribution of stations, herein two stations. The developed workflow involves a continuous wavelet transform, peak detection, and event characterization. Events are classified by amplitude, frequency, occurrence time, source azimuth relative to the seismograph, duration, and bandwidth. Depending on the applications, results can guide seismograph selection (sampling frequency and sensitivity) and seismograph placement within the area of interest.
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spelling pubmed-100076102023-03-12 Characterizing Ambient Seismic Noise in an Urban Park Environment Saadia, Benjamin Fotopoulos, Georgia Sensors (Basel) Article In this study, a method for characterizing ambient seismic noise in an urban park using a pair of Tromino3G+ seismographs simultaneously recording high-gain velocity along two axes (north-south and east-west) is presented. The motivation for this study is to provide design parameters for seismic surveys conducted at a site prior to the installation of long-term permanent seismographs. Ambient seismic noise refers to the coherent component of the measured signal that comes from uncontrolled, or passive sources (natural and anthropogenic). Applications of interest include geotechnical studies, modeling the seismic response of infrastructure, surface monitoring, noise mitigation, and urban activity monitoring, which may exploit the use of well-distributed seismograph stations within an area of interest, recording on a days-to-years scale. An ideal well-distributed array of seismographs may not be feasible for all sites and therefore, it is important to identify means for characterizing the ambient seismic noise in urban environments and limitations imposed with a reduced spatial distribution of stations, herein two stations. The developed workflow involves a continuous wavelet transform, peak detection, and event characterization. Events are classified by amplitude, frequency, occurrence time, source azimuth relative to the seismograph, duration, and bandwidth. Depending on the applications, results can guide seismograph selection (sampling frequency and sensitivity) and seismograph placement within the area of interest. MDPI 2023-02-22 /pmc/articles/PMC10007610/ /pubmed/36904649 http://dx.doi.org/10.3390/s23052446 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Saadia, Benjamin
Fotopoulos, Georgia
Characterizing Ambient Seismic Noise in an Urban Park Environment
title Characterizing Ambient Seismic Noise in an Urban Park Environment
title_full Characterizing Ambient Seismic Noise in an Urban Park Environment
title_fullStr Characterizing Ambient Seismic Noise in an Urban Park Environment
title_full_unstemmed Characterizing Ambient Seismic Noise in an Urban Park Environment
title_short Characterizing Ambient Seismic Noise in an Urban Park Environment
title_sort characterizing ambient seismic noise in an urban park environment
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007610/
https://www.ncbi.nlm.nih.gov/pubmed/36904649
http://dx.doi.org/10.3390/s23052446
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