Thematische Bibliographien / Seismic ambient noise

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Auswahl der wissenschaftlichen Literatur zum Thema „Seismic ambient noise“

Autor: Grafiati

Veröffentlicht am 28. Juni 2021

Zuletzt aktualisiert am 29. Juli 2025

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Zeitschriftenartikel zum Thema "Seismic ambient noise"

Krebes, Edward S. "Seismic Ambient Noise." Journal of the Acoustical Society of America 146, no. 1 (2019): 532–33. http://dx.doi.org/10.1121/1.5118247.

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Hussain, Yawar, Hernan Martinez-Carvajal, Cristobal Condori, et al. "Ambient seismic noise." Terrae Didatica 15 (February 14, 2019): e019012. http://dx.doi.org/10.20396/td.v15i1.8652455.

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Rainfall-induced variations in pore water pressures are the most common sources of significant disasters like landslides, dams’ failure, and other structural collapses. This study aimed at communicating preliminary results of seasonal monitoring of the Sobradinho landslide, Brasilia, Brazil, using ambient seismic noise. The noise was recorded before, during and after the rainy season with three L4-3A seismometers (2Hz) installed in a triangular array at the landslide mass. These records were processed using horizontal to vertical spectral ratio (HVSR) technique. As it resulted from the perform

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Ermert, Laura, Jonas Igel, Korbinian Sager, Eléonore Stutzmann, Tarje Nissen-Meyer, and Andreas Fichtner. "Introducing noisi: a Python tool for ambient noise cross-correlation modeling and noise source inversion." Solid Earth 11, no. 4 (2020): 1597–615. http://dx.doi.org/10.5194/se-11-1597-2020.

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Abstract. We introduce the open-source tool noisi for the forward and inverse modeling of ambient seismic cross-correlations with spatially varying source spectra. It utilizes pre-computed databases of Green's functions to represent seismic wave propagation between ambient seismic sources and seismic receivers, which can be obtained from existing repositories or imported from the output of wave propagation solvers. The tool was built with the aim of studying ambient seismic sources while accounting for realistic wave propagation effects. Furthermore, it may be used to guide the interpretation

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Hong, Tae-Kyung, Jeongin Lee, Giha Lee, Junhyung Lee, and Seongjun Park. "Correlation between Ambient Seismic Noises and Economic Growth." Seismological Research Letters 91, no. 4 (2020): 2343–54. http://dx.doi.org/10.1785/0220190369.

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Abstract Human activity is a major source of high-frequency seismic noise. Long-term ambient seismic noise levels and their influencing factors are investigated. The diurnal seismic noise level in 5–15 Hz display high correlation with human activities including traffic and industrial operations that are related to economic conditions. The temporal noise-level variations are consistent among three components. Analysis with seismic noises in three consecutive months of each year enables us to estimate the noise levels without seasonal effects. The daytime seismic noise-level changes in major cit

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Chen, Lihui, and Shaohong Xia. "Sensing Human Activity of the Guangdong–Hong Kong–Macao Greater Bay Area by Ambient Seismic Noise." Remote Sensing 15, no. 22 (2023): 5340. http://dx.doi.org/10.3390/rs15225340.

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Effective monitoring of human activity in urban areas is essential for social stability and urban development. Traditional monitoring methods include wearable devices, survey sensor networks, and satellite remote sensing, which may be affected by privacy and weather conditions. Ambient seismic noise recorded by seismometers contains rich information about human activity and exhibits significant temporal and spatial variations, which provides valuable insights into social mobility. In this study, we investigated the correlation between human activity and ambient seismic noise in the Guangdong–H

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Draganov, Deyan, Xander Campman, Jan Thorbecke, Arie Verdel, and Kees Wapenaar. "Reflection images from ambient seismic noise." GEOPHYSICS 74, no. 5 (2009): A63—A67. http://dx.doi.org/10.1190/1.3193529.

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One application of seismic interferometry is to retrieve the impulse response (Green’s function) from crosscorrelation of ambient seismic noise. Various researchers show results for retrieving the surface-wave part of the Green’s function. However, reflection retrieval has proven more challenging. We crosscorrelate ambient seismic noise, recorded along eight parallel lines in the Sirte basin east of Ajdabeya, Libya, to obtain shot gathers that contain reflections. We take advantage of geophone groups to suppress part of the undesired surface-wave noise and apply frequency-wavenumber filtering

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Li, Qianqian, Yaxin Liu, Lei Xing, et al. "Analysis of Regional Ambient Seismic Noise in the Chukchi Sea Area in the Arctic Based on OBS Data from the Ninth Chinese National Arctic Scientific Survey." Remote Sensing 15, no. 17 (2023): 4204. http://dx.doi.org/10.3390/rs15174204.

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Ambient noise plays a crucial role in influencing the observation quality at seismic stations. By studying the distribution patterns of ambient noise, we can gain initial insights into the noise conditions within a specific research area. This paper investigates the properties of ambient noise in different frequency bands under environmental settings in the Chukchi Sea region, utilizing data collected from ocean bottom seismometers (OBSs) deployed during the Ninth Chinese National Arctic Scientific Survey. The probability density function (PDF) method is used to reveal the distinctive features

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Xu, Zongbo, T. Dylan Mikesell, Josefine Umlauft, and Gabriel Gribler. "Rayleigh-wave multicomponent crosscorrelation-based source strength distribution inversions. Part 2: a workflow for field seismic data." Geophysical Journal International 222, no. 3 (2020): 2084–101. http://dx.doi.org/10.1093/gji/ggaa284.

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SUMMARY Estimation of ambient seismic source distributions (e.g. location and strength) can aid studies of seismic source mechanisms and subsurface structure investigations. One can invert for the ambient seismic (noise) source distribution by applying full-waveform inversion (FWI) theory to seismic (noise) crosscorrelations. This estimation method is especially applicable for seismic recordings without obvious body-wave arrivals. Data pre-processing procedures are needed before the inversion, but some pre-processing procedures commonly used in ambient noise tomography can bias the ambient (no

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Li, Xiaomeng, Yan Xu, Chaodi Xie, and Shanshan Sun. "Global characteristics of ambient seismic noise." Journal of Seismology 26, no. 2 (2022): 343–58. http://dx.doi.org/10.1007/s10950-021-10071-8.

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AbstractAmbient seismic noise becomes more and more important and helpful on assisting velocity model inversion, earthquake detection, and ground motion prediction. Based on the analysis of continuous seismic data and ocean wave height, we find that the ocean wave height and winter storms have a controlling factor on the DF microseismic energy level and its frequency extent in time scale. It shows that high and low DF microseismic energy accompanied with wide and narrow frequency range consistent with the high wave height period (when the ocean is stormier) and low wave height period, respecti

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Sens-Schönfelder, Christoph. "Synchronizing seismic networks with ambient noise." Geophysical Journal International 174, no. 3 (2008): 966–70. http://dx.doi.org/10.1111/j.1365-246x.2008.03842.x.

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Dissertationen zum Thema "Seismic ambient noise"

Arogundade, Simisola M. "Numerical modeling of ambient noise seismic interferometry." Thesis, Michigan Technological University, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10125274.

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CO2 sequestration involves storing CO2 in a deep geological formation and may help to mitigate the increasing emission of carbon. To monitor the migration of injected fluid in the reservoir, seismic observations may be used to observe changes in reflection character. Conventional methods to image the subsurface, using active seismic measurements, with man-made sources, have been applied at a few test sites, and the use of passive measurements, with natural sources, has been considered as a probable cost-efficient method to monitor CO2 migration and leakage.

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Olivier, Gerrit. "Seismic imaging and monitoring in mines with ambient seismic noise correlations." Thesis, Université Grenoble Alpes (ComUE), 2015. http://www.theses.fr/2015GREAU018/document.

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Cette thèse s'intéresse au développement des méthodes d'auscultation sismique passive pour l'imagerie et la surveillance des mines profondes. Les résultats marquants sont 1/ la possibilité d'imager en profondeur les structures géologiques d'intérêt et 2/ la possibilité de suivre dans le temps les propriétés mécaniques des roches qui subissent les sollicitation associés à l'exploitation minière. Ce travail ouvre des perspectives quant à l'amélioration de la sécurité dans les mines profondes This work focus on using passive noise-based seismic methods to image and monitor the rock mass in und

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Legovini, Paride <1983&gt. "Ambient seismic noise tomography of the Antarctic continent." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amsdottorato.unibo.it/9023/1/tesi-legovini.pdf.

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The lithosphere of Antarctica reacts to both the stress variations due to the dynamics of the mantle and the variation of the glacial load due to changes in climate. These two factors act on the dynamics of the glacial mass, on the evolution of the continent's topography and on the plate seismicity. This means that the knowledge of spatial variations in lithospheric thickness is needed to comprehend of the processes that involve interactions between climate and the geosphere. The main aim of this work is to produce a tomographic model of the continent. The classic data source for tomographi

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Allmark, Claire Lindsay. "Analysing the Earth's near surface using ambient seismic noise." Thesis, University of Edinburgh, 2018. http://hdl.handle.net/1842/29639.

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Near surface measurements of seismic velocity and Q are useful in a number of situations, for example for when carrying out re-datuming and migration for depth images, or when analysing ground conditions for building. This thesis concentrates on the estimation of surface wave group and phase velocity as well as Q structure through the use of cross correlations of ambient noise recordings. Linearised tomography estimates are made for the British Isles, the Permain Basin of Texas and New Mexico, the Ekofisk Life of Field Seismic (LoFS) array and the Aquistore CO2 storage site. The results corres

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Neale, Jennifer F. Ward. "An investigation into ocean wave sources of ambient seismic noise." Thesis, University of Southampton, 2017. https://eprints.soton.ac.uk/412555/.

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Periodic pressure fluctuations beneath ocean waves deform the seabed beneath them and can generate seismic waves that propagate around the globe. These pressure fluctuations are recorded on seafloor pressure gauges and the associated ground displacements on seismometers, where they contribute to ambient seismic noise. The signals offer an opportunity to study or monitor ocean waves that are traditionally difficult to measure because of their low wave heights (deep water infragravity waves) or their remote locations (deep water swell waves). However, the link between ocean waves and the oscilla

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Fang, Lihua. "Rayleigh wave tomography in North-China from ambient seismic noise." Doctoral thesis, Università degli studi di Trieste, 2010. http://hdl.handle.net/10077/3623.

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2008/2009 The theory and methodology of ambient noise tomography has been studied and applied to North-China successfully. Continuous vertical-component seismograms, spanning the period from January 1, 2007 to February 28, 2008 recorded by 190 broadband stations and 10 very broadband stations, have been used. The cross correlation technique has been applied to ambient noise data recorded by North-China Seismic Array for each station pairs of the array. Rayleigh wave group velocity dispersion curves are measured at periods between 4 s and 40 s by multiple filter technique. We obtain 5

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Jonsdottir, Frida. "Estimation of Relative Seismic Velocity Changes Around Katla Volcano, Using Coda in Ambient Seismic Noise." Thesis, Uppsala universitet, Institutionen för geovetenskaper, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-353619.

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Relative seismic velocity variations in the Earth’s crust can be estimated by using ambient seismic noise records from a pair of stations. Velocity variations can be caused by stress perturbations in the subsurface. Therefore, information on stress changes in the crust can possibly be retrieved from measured velocity variations in the medium. The measurement is done by comparing the coda part of two cross-correlation functions (CCFs) obtained from ambient noise recordings at two seismic stations; a current CCF that is considered to represent the actual state in the study medium at a specific t

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Saygin, Erdinc, and erdinc saygin@anu edu au. "Seismic Receiver and Noise Correlation Based Studies in Australia." The Australian National University. Research School of Earth Sciences, 2007. http://thesis.anu.edu.au./public/adt-ANU20091009.115242.

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This thesis is directed at exploiting information in the coda of seismic phases and the ambient noise field to provide new constraints on the structure of the Australian Continent. ¶ The exploitation of the immediate coda following the onset of P waves from a distant earthquake using radial receiver functions is now a well established method. The 40 sec interval following P contains reverberations and conversions, by deconvolving the radial component trace with the vertical components, the conversions are emphasized by canceling the part of the response that are common to both components. A m

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Arosio, Lucia. "Seismic ambient noise tomography of central Italy using a deep learning algorithm." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022. http://amslaurea.unibo.it/25637/.

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This work aims at testing a convolutional neural network (CNN), developed by Zhang et al. (2020), to measure group velocity of Rayleigh waves, extracted from records of background seismic noise, and at studying the crustal structure of Central Italy. I investigate an area in Central Italy by means of seismograms recorded by 73 seismic stations located approximately in the Central and Northern Apennines. The study is part of a larger project, named MUSE (Multiparametric and mUltiscale Study of Earthquake preparatory phase), that has the goal, among others, of detecting the spatial and temporal

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Sadeghisorkhani, Hamzeh. "Analyses and Application of Ambient Seismic Noise in Sweden : Source, Interferometry, Tomography." Doctoral thesis, Uppsala universitet, Geofysik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-320169.

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Ambient seismic noise from generation to its application for determination of sub-surface velocity structures is analyzed using continuous data recordings from the Swedish National Seismic Network (SNSN). The fundamental aim of the thesis is to investigate the applicability of precise velocity measurements from ambient noise data. In the ambient noise method, a form of interferometry, the seismic signal is constructed from long-term cross correlation of a random noise field. Anisotropy of the source distribution causes apparent time shifts (velocity bias) in the interferometric signals. The ve

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Bücher zum Thema "Seismic ambient noise"

Nakata, Nori, Lucia Gualtieri, and Andreas Fichtner, eds. Seismic Ambient Noise. Cambridge University Press, 2019. http://dx.doi.org/10.1017/9781108264808.

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Seismic Ambient Noise. Cambridge University Press, 2019.

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Fichtner, Andreas, Nori Nakata, and Lucia Gualtieri. Seismic Ambient Noise. Cambridge University Press, 2019.

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Buchteile zum Thema "Seismic ambient noise"

Campillo, Michel, Philippe Roux, and Nikolai M. Shapiro. "Seismic, Ambient Noise Correlation." In Encyclopedia of Solid Earth Geophysics. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-10475-7_218-1.

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Campillo, Michel, Philippe Roux, and Nikolai M. Shapiro. "Seismic, Ambient Noise Correlation." In Encyclopedia of Solid Earth Geophysics. Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-90-481-8702-7_218.

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Campillo, Michel, Philippe Roux, and Nikolai M. Shapiro. "Seismic, Ambient Noise Correlation." In Encyclopedia of Solid Earth Geophysics. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-58631-7_218.

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Gravirov, V. V., and K. V. Kislov. "Variations of Ambient Temperature and Following Them Instrumental Noise of Seismic Instruments." In Springer Proceedings in Earth and Environmental Sciences. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-91467-7_25.

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Bezuidenhout, Lucien, Moctar Doucouré, Viera Wagener, and Maarten J. de Wit. "Ambient Noise Tomography (Passive Seismic) to Image the Cape-Karoo Transition Near Jansenville, Eastern Cape." In Origin and Evolution of the Cape Mountains and Karoo Basin. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40859-0_3.

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Abd el-aal, Abd el-aziz Khairy. "New Relationship Between Fundamental Site Frequency and Thickness of Soft Sediments from Seismic Ambient Noise." In Recent Advances in Environmental Science from the Euro-Mediterranean and Surrounding Regions. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-70548-4_544.

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Al Yuncha, Z., F. Luzón, A. Posadas, et al. "The Use of Ambient Seismic Noise Measurements for the Estimation of Surface Soil Effects: The Motril City Case (Southern Spain)." In Geodetic and Geophysical Effects Associated with Seismic and Volcanic Hazards. Birkhäuser Basel, 2004. http://dx.doi.org/10.1007/978-3-0348-7897-5_16.

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Wasowski, Janusz, Vincenzo Del Gaudio, Domenico Casarano, Piernicola Lollino, and Sandro Muscillo. "Local Scale Seismic Landslide Susceptibility Assessment Based on Historic Earthquake Records Combined with Accelerometer Monitoring and Ambient Noise Data." In Earthquake-Induced Landslides. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32238-9_2.

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Mellen, R. H., and D. G. Browning. "Infrasonic Attenuation and Ambient Noise." In Ocean Seismo-Acoustics. Springer US, 1986. http://dx.doi.org/10.1007/978-1-4613-2201-6_74.

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Akal, T., A. Barbagelata, G. Guidi, and M. Snoek. "Time Dependence of Infrasonic Ambient Seafloor Noise on a Continental Shelf." In Ocean Seismo-Acoustics. Springer US, 1986. http://dx.doi.org/10.1007/978-1-4613-2201-6_73.

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Konferenzberichte zum Thema "Seismic ambient noise"

Draganov, D., X. Campman, J. Thorbecke, A. Verdel, and K. Wapenaar. "Event-driven Seismic Interferometry with Ambient Seismic Noise." In 72nd EAGE Conference and Exhibition incorporating SPE EUROPEC 2010. European Association of Geoscientists & Engineers, 2010. http://dx.doi.org/10.3997/2214-4609.201400811.

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de Ridder, Sjoerd. "Ambient seismic noise tomography at Valhall." In SEG Technical Program Expanded Abstracts 2011. Society of Exploration Geophysicists, 2011. http://dx.doi.org/10.1190/1.3627508.

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Draganov, D., X. Campman, J. Thorbecke, A. Verdel, and K. Wapenaar. "Subsurface Structure from Ambient Seismic Noise." In 71st EAGE Conference and Exhibition incorporating SPE EUROPEC 2009. European Association of Geoscientists & Engineers, 2009. http://dx.doi.org/10.3997/2214-4609.201400571.

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Kazantsev, A., M. Peruzzetto, H. Chauris, P. Dublanchet, and F. Huguet. "Origins Of Rayleigh Wave Overtones In Ambient Noise." In Seventh EAGE Workshop on Passive Seismic 2018. EAGE Publications BV, 2017. http://dx.doi.org/10.3997/2214-4609.201800067.

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Archer, J., A. Clark, D. Silvernagle, and S. Mills. "Real Time Ambient Noise Monitoring During Nodal Data Acquisition." In First EAGE Workshop Land Seismic Acquisition. European Association of Geoscientists & Engineers, 2025. https://doi.org/10.3997/2214-4609.202580009.

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de Ridder, S. A. L., and J. R. Maddison. "Wave field inversion of ambient seismic noise." In 79th EAGE Conference and Exhibition 2017 - Workshops. EAGE Publications BV, 2017. http://dx.doi.org/10.3997/2214-4609.201701687.

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de Ridder, Sjoerd. "Ambient seismic noise correlations for reservoir monitoring." In SEG Technical Program Expanded Abstracts 2012. Society of Exploration Geophysicists, 2012. http://dx.doi.org/10.1190/segam2012-1528.1.

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Arogundade, Simisola, Wayne Pennington, Roger Turpening, and Roohollah Askari. "Numerical modeling of ambient-noise seismic interferometry." In SEG Technical Program Expanded Abstracts 2016. Society of Exploration Geophysicists, 2016. http://dx.doi.org/10.1190/segam2016-13678078.1.

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Jeremic, Aleksandar, Michael Thornton, and Peter Duncan. "Ambient passive seismic imaging with noise analysis." In SEG Technical Program Expanded Abstracts 2016. Society of Exploration Geophysicists, 2016. http://dx.doi.org/10.1190/segam2016-13871643.1.

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Albaric, J., G. Hillers, D. Kuehn, et al. "Ambient Seismic Noise Analysis from Array and Borehole Networks in Svalbard, Norway." In Fifth EAGE Passive Seismic Workshop. EAGE Publications BV, 2014. http://dx.doi.org/10.3997/2214-4609.20142158.

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Berichte der Organisationen zum Thema "Seismic ambient noise"

Song, Xiaodong. Surface Wave Dispersion Measurements and Tomography From Ambient Seismic Noise in China. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada496404.

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Song, Xiaodong. Surface Wave Dispersion Measurements and Tomography from Ambient Seismic Noise Correlation in China. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada519099.

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Pulliam, Robert, Frank Sepulveda, Joseph Thangraj, et al. DEVELOPMENT OF A NOVEL, NEAR REAL TIME APPROACH TO GEOTHERMAL SEISMIC EXPLORATION AND MONITORING VIA AMBIENT SEISMIC NOISE INTERFEROMETRY. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1648329.

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Tibuleac, Ileana, John Louie, Joe Iovenitti, et al. Quantifying EGS Reservoir Complexity with an Integrated Geophysical Approach-Improved Resolution Ambient Seismic Noise Interferometry. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1510528.

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Given, Holly K. Comparisons of Surface and Borehole Broadband Ambient Seismic Noise at IRIS Station RAR: Raratonga, Cook Islands. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada267744.

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Tibuleac, Ileana. Development of a low cost method to estimate the seismic signature of a geothermal field form ambient noise analysis. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1340606.

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