Relevant bibliographies by topics / Seismic ambient noise

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  2. Dissertations / Theses
  3. Books
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Academic literature on the topic 'Seismic ambient noise'

Author: Grafiati
Published: 28 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Seismic ambient noise"

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

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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 (August 28, 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 of ambient seismic auto- and cross-correlations, which have become preeminent seismological observables, in light of nonuniform ambient seismic sources. Written in the Python language, it is accessible for both usage and further development and efficient enough to conduct ambient seismic source inversions for realistic scenarios. Here, we introduce the concept and implementation of the tool, compare its model output to cross-correlations computed with SPECFEM3D_globe, and demonstrate its capabilities on selected use cases: a comparison of observed cross-correlations of the Earth's hum to a forward model based on hum sources from oceanographic models and a synthetic noise source inversion using full waveforms and signal energy asymmetry.
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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 (June 3, 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 cities of 11 countries are assessed using the 3 month records for decades. The annual seismic noise levels present strong correlations with gross domestic product (GDP), particularly with manufacturing and industrial GDP. The seismic noise levels increase quickly with GDP in low-GDP regions but slowly in high-GDP regions. This is because high-GDP regions already have large volumes of existing noise-inducing sources and because added sources contribute weakly. The seismic noise levels increased by 14%–111% for 5–23 yr depending on the economic conditions. The correlation between ambient seismic noise level and economy growth is a global feature. The high-frequency noise level may be a proxy to present the economic condition. Economic growth affects the Earth environment in a wide range of aspects.
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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 (September 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 before crosscorrelation to suppress surface waves further. After comparing the retrieved results with data from an active seismic exploration survey along the same lines, we use the retrieved reflection data to obtain a migrated reflection image of the subsurface.
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Sens-Schönfelder, Christoph. "Synchronizing seismic networks with ambient noise." Geophysical Journal International 174, no. 3 (September 2008): 966–70. http://dx.doi.org/10.1111/j.1365-246x.2008.03842.x.

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de Ridder, Sjoerd A. L., and Biondo L. Biondi. "Ambient seismic noise tomography at Ekofisk." GEOPHYSICS 80, no. 6 (November 2015): B167—B176. http://dx.doi.org/10.1190/geo2014-0558.1.

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Laske, Gabi. "Book Review of ‘Seismic Ambient Noise’." Geophysical Journal International 221, no. 3 (March 3, 2020): 1667–68. http://dx.doi.org/10.1093/gji/ggaa101.

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Shirzad, Taghi, and Zaher‐Hossein Shomali. "Extracting Stable Seismic Core Phases from Ambient Seismic Noise." Bulletin of the Seismological Society of America 106, no. 1 (December 15, 2015): 307–12. http://dx.doi.org/10.1785/0120150031.

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Vassallo, M., G. Festa, and A. Bobbio. "Seismic Ambient Noise Analysis in Southern Italy." Bulletin of the Seismological Society of America 102, no. 2 (March 29, 2012): 574–86. http://dx.doi.org/10.1785/0120110018.

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Saygin, Erdinc, and Brian L. N. Kennett. "Ambient seismic noise tomography of Australian continent." Tectonophysics 481, no. 1-4 (January 2010): 116–25. http://dx.doi.org/10.1016/j.tecto.2008.11.013.

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Dissertations / Theses on the topic "Seismic ambient noise"

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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. This numerical modeling study examines the use of seismic interferometry to retrieve weak seismic reflections from background noise, a form of passive monitoring.

The factors that influence the quality of the retrieved reflections from interferometry include geophone interval, geophone depth, and effect of shallow noise sources, assuming we seek reflections from deep noise sources, representing either teleseismic events or local events as expected in a field of active injection. Using model data, geophone interval had no significant effect on the reflection quality, but buried geophones produce ghost reflections, suggesting that shallow geophones might be optimal. Shallow noise sources produce a destructive effect on the reflections from deeper noise sources and damage the resulting image.

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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 underground mines. The main results show that it is possible to gain benefit from the diffuse ambient seismic field in mines to 1/ image the rock mass and 2/ monitor its mechanical property changes over time. This work opens a way to improve safety in deep underground mines
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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 correspond well with the known geological structure and/or structure observed in velocity maps by other researchers. For the Ekofisk array a non-linearised non-linear method was also applied and the results estimated by these two methods for the Ekofisk LoFS array are compared. By non-linearised non-linear it is meant that the inversion method is fully non-linear and no linearisation has taken place in the method, this term will be used throughout this thesis for all methods which fall into this category. The tomography results from the two methods had similarities in their general structure but differences in the finer details, and so suggest that the substantial increase in time required for the non-linearised non-linear method is not justified. Linearised tomographic inversion of the Aquistore array was used to determine the potential of using ambient noise tomography for monitoring of CO2 storage sites. It was found that the repeatability of the tomography at the Aquistore site was not good enough to allow ambient noise tomography to be used for monitoring; however, it may be possible to apply the method at other sites. A Q and phase velocity inversion of the Ekofisk array is also presented, with results mostly showing excellent correlation with known geological features. It is shown that the higher frequencies are more sensitive to the effects of sea floor subsidence at the site, while lower frequencies are more sensitive to the effects of faulting. A final near surface method called ambient noise gradiometry was applied, this concentrates on estimating locations of sources of seismic energy within receiver arrays. Ambient noise gradiometry is applied to synthetic and real data for this purpose. It was found that using ambient noise gradiometry allows internal sources of energy to be identified but they produce a bias in the phase velocity tomography result. Two methods of reducing this bias are presented, both of which also provide an estimate of the source term for different sections of time of the recording.
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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 oscillations of the pressure and seismic wavefields has remained unclear. The aim of this thesis was to increase our understanding of ocean sources of ambient seismic noise, including their location, how well they can be located, and their relationship with ocean wave parameters. Using cross-correlated pairs of seafloor pressure records, infragravity waves offshore California/Oregon were found to originate mostly from local coastlines during northern-hemisphere winter and from the south during summer. A first attempt to estimate the coastal reflection coefficient of remote arrivals was made and found to be 0.49-0.74, which has implications for infragravity energy in the deep ocean and may be important for models in which infragravity waves are propagated across ocean basins. P-wave sources in the North Pacific during winter were located using seismometers in California and found to be concentrated around 40-50◦N 160-180◦E. Observed source locations were within 10◦ of the modelled source locations. Significant wave height in the deep ocean was estimated from P-waves and correlated with modelled wave height with a correlation coefficient of 0.63. Previous work only attempted to estimate coastal wave heights. Combining additional records from Japan and Europe improved source location, including imaging of multiple sources. Accuracy in source location and amplitude estimation are essential if microseisms are to be used to monitor wave activity in the deep ocean.
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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 time and a reference CCF that is considered to represent its average state. Here, the method is applied to the area around Katla volcano in southern Iceland. Katla is an active subglacial volcano and therefore frequent stress changes can be expected to take place there. Long-term changes (of the order of 1-2 months) in relative seismic velocity were estimated over a period of 7 months in 2011. These changes were of the order of about 0.1% for a frequency range of 0.2-1.0 Hz. For this frequency range, surface waves around Katla have been estimated to be most sensitive to velocity changes taking place at depths of about 1-5 km but the sensitivity kernels also have a peak at the surface. The scattering volume (in this case area since we are working with surface waves) depends on both the inter-station distance and how far into the coda the measurements are made. The inter-station distances vary between 5.8 and 23.4 km. Measurements are made 30 s into the coda. This results in scattering areas on the order of 100 km2. The velocity variations have a negative trend over July and over a two month period from the end of August until early November, and a positive trend in August and from early November until the end of the study period in late December. These variations are possibly the results of a combination of changes in the ground water level beneath the glacier, surface load changes and possibly hydrothermal and magmatic pressurization changes. No significant velocity change was estimated in the area associated with the tremor event that took place in early July in 2011.
Seismiska vågor är vibrationer i jordytan som genereras av jordbävningar, explosioner eller andra processer som skakar jorden. Seismiska vågor färdas genom jordens lager och innehåller därför information om jordens inre struktur. Dessa vibrationer kan hämtas med ett känsligt instrument som kallas seismometer. Seismiska vågor färdas med en viss hastighet som beror på hur hård och tung berggrunden är. Förändringar av dessa egenskaper kan därför resultera i förändringar av hastigheten. Dessa förändringar kan orsakas av spänningsförändringar under marken, till exempel trycket i porer eller variationer i vikten ovanför marken, exempelvis från en glaciär. I denna uppsats studeras förändringar av seismiska vågors hastighet kring vulkanen Katla på Island under 7 månader, 2011. Katla är en av Islands mest aktiva vulkaner och är belägen under en glaciär, Mýrdalsjökull. Detta görs genom att använda omgivande seismiskt brus, som består av seismiska vågor. Bruset genereras av tryckvariationer i samband med havsvågor. Bruset analyseras med en korrelationsanalys som bland annat isolerar spridda vågor från detaljer i strukturen och variationer av dessa med tid kan användas til mätningar av hastighets förändringar. Resultaten tyder på förändringar i relativ seismik hastighet avstorleken 0.1% som varar i en till två månader. Hastigheten minskar i juli och över en tvåmånadersperiod från slutet av augusti till början av november, men ökar i augusti och från början av november till slutet av december. Dessa variationer kan ha orsakats av en kombination av förändringar i grundvattennivån under glaciären, förändringar i glaciärens vikt och magmatiska processer. Inga tydliga förändringar i samband med sekvenser av små jordbävningar som ägde rum i början av juli 2011 kunde observeras frånförändringar i relativ seismisk hastighet runt Katla.
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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 member of different styles of such deconvolution, are investigated and a variant of the multitaper method is adopted for subsequent applications. The TASMAL experiment 2003-2005 spans the expected location of the transition between Precambrian and Phanerozoic Australia. The 20 portable broadband stations were exploited in receiver function studies to extract S wave crustal structure through the inversion of stacked receiver functions using the Neighbourhood Algorithm. There is no clear crustal transition associated with the presence of Tasman Line. The Precambrian Cratons tend to exhibit crustal thicknesses close to 40 km but such values are also found in some Phanerozoic sites. ¶ The second part of the thesis is directed at the exploitation of ambient noise or seismic coda to gain information on the Green's function between seismic stations. The TASMAL experiment covered a significant fraction of the Australian continent with a simultaneous deployment of portable broadband stations. From these continuous records, it has proved possible to extract very clear Rayleigh wave signals for station separations up to 2000 km, and to demonstrate the frequency dependent variations in group velocity behaviour. The combination of the paths between the 20 stations localize such behaviour, but detailed images needed more data. The entire archive of portable broadband data recorded by RSES was mined, and combined with data from permanent stations to provide more than 1100 estimates of interstation Green's functions within Australia. Group velocity analysis as function of frequency was followed by nonlinear tomography with the Fast Marching Method. The resulting images of group velocity patterns as a function frequency show pronounced regions of lowered group velocities, most of which match regions of thick sediment. The frequency dependence is not consistent with just sedimentary structure and low midcrustal velocities, most likely due to elevated temperatures, are also needed. ¶ The surface wave portion of the interstation Green's function is the most energetic, and is normally all that seen in ambient noise studies. However, in the coda of events record at the broadband Warramunga seismic array in the Northern Territory, the P and S body wave components also emerge. The characteristics of these arrivals match those observed from nearby small earthquakes. The stacked cross-correlation is the normal approach to enhance Green's function information from ambient noise, but a broader spectral band width with the same phase response can be found by spectral division. It appears advantageous to compare both approaches and select the best result, since very little modifications to procedures are needed. ¶ The properties of the ambient noise at a single station have been investigated in the logarithmic spectral domain and a station dependent signal can be extracted by stacking. The signal appears to be related to the local structure beneath the station, and when fully characterized may provide a new means of investigating structure.
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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 velocity bias can be important for the study area (Sweden) which has relatively small velocity variations. This work explores the entire data path, from investigating the noise-source distribution to a tomographic study of southern Sweden. A new method to invert for the azimuthal source distribution from cross-correlation envelopes is introduced. The method provides quantitative estimates of the azimuthal source distribution which can be used for detailed studies of source generation processes. An advantage of the method is that it uses few stations to constrain azimuthal source distributions. The results show that the source distribution is inhomogeneous, with sources concentrated along the western coast of Norway. This leads to an anisotropic noise field, especially for the secondary microseisms. The primary microseismic energy comes mainly from the northeast. The deduced azimuthal source distributions are used to study the level of expected bias invelocity estimates within the SNSN. The results indicate that the phase-velocity bias is less than 1% for most station pairs but can be larger for small values of the ratio of inter-station distance over wavelength. In addition, the nature of velocity bias due to a heterogeneous source field is investigated in terms of high and finite-frequency regimes. Graphical software for phase-velocity dispersion measurements based on new algorithms is presented and validated with synthetic data and by comparisons to other methods. The software is used for phase-velocity measurements, and deduced azimuthal source distributions are used for velocity-bias correction. Derived phase-velocity dispersion curves are used to construct two-dimensional velocity maps of southern Sweden at different periods based on travel-time tomography. The effect of the bias correction is investigated, and velocity maps are interpreted in comparison to previous geological and geophysical information.
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Nicolson, Heather Johan. "Exploring the Earth's subsurface with virtual seismic sources and receivers." Thesis, University of Edinburgh, 2011. http://hdl.handle.net/1842/5726.

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Traditional methods of imaging the Earth’s subsurface using seismic waves require an identifiable, impulsive source of seismic energy, for example an earthquake or explosive source. Naturally occurring, ambient seismic waves form an ever-present source of energy that is conventionally regarded as unusable since it is not impulsive. As such it is generally removed from seismic data and subsequent analysis. A new method known as seismic interferometry can be used to extract useful information about the Earth’s subsurface from the ambient noise wavefield. Consequently, seismic interferometry is an important new tool for exploring areas which are otherwise seismically quiet, such as the British Isles in which there are relatively few strong earthquakes. One of the possible applications of seismic interferometry is the ambient noise tomography method (ANT). ANT is a way of using interferometry to image subsurface seismic velocity variations using seismic (surface) waves extracted from the background ambient vibrations of the Earth. To date, ANT has been used to successfully image the Earth’s crust and upper-mantle on regional and continental scales in many locations and has the power to resolve major geological features such as sedimentary basins and igneous and metamorphic cores. In this thesis I provide a review of seismic interferometry and ANT and apply these methods to image the subsurface of north-west Scotland and the British Isles. I show that the seismic interferometry method works well within the British Isles and illustrate the usefulness of the method in seismically quiet areas by presenting the first surface wave group velocity maps of the Scottish Highlands and across the British Isles using only ambient seismic noise. In the Scottish Highlands, these maps show low velocity anomalies in sedimentary basins such as the Moray Firth and high velocity anomalies in igneous and metamorphic centres such as the Lewisian complex. They also suggest that the Moho shallows from south to north across Scotland, which agrees with previous geophysical studies in the region. Rayleigh wave velocity maps from ambient seismic noise across the British Isles for the upper and mid-crust show low velocities in sedimentary basins such as the Midland Valley, the Irish Sea and the Wessex Basin. High velocity anomalies occur predominantly in areas of igneous and metamorphic rock such as the Scottish Highlands, the Southern Uplands, North-West Wales and Cornwall. In the lower crust/upper mantle, the Rayleigh wave maps show higher velocities in the west and lower velocities in the east, suggesting that the Moho shallows generally from east to west across Britain. The extent of the region of higher velocity correlates well with the locations of British earthquakes, agreeing with previous studies that suggest British seismicity might be influenced by a mantle upwelling beneath the west of the British Isles. Until the work described in Chapter 6 of this thesis was undertaken in 2009, seismic interferometry was concerned with cross-correlating recordings at two receivers due to a surrounding boundary of sources, then stacking the cross-correlations to construct the inter-receiver Green’s function. A key element of seismic wave propagation is that of source-receiver reciprocity i.e. the same wavefield will be recorded if its source and receiver locations and component orientations are reversed. By taking the reciprocal of its usual form, in this thesis I show that the impulsive-source form of interferometry can also be used in the opposite sense: to turn any energy source into a virtual sensor. This new method is demonstrated by turning earthquakes in Alaska and south-west USA into virtual seismometers located beneath the Earth’s surface.
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Sabey, Lindsay Erin. "Body and surface wave ambient noise seismic interferometry across the Salton Sea Geothermal Field, California." Thesis, Virginia Tech, 2015. http://hdl.handle.net/10919/51185.

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Virtual source gathers were generated using the principles of seismic interferometry from 135 hours of ambient noise recorded during a controlled-source survey across the Salton Sea Geothermal Field in southern California. The non-uniform nature of the noise sources violated a primary assumption of the method and generated artifacts in the data. The artifacts generated by the high-energy impulsive sources (e.g. earthquakes, shots) were removable using traditional methods of amplitude normalization prior to cross-correlation. The continuous source artifacts generated by the geothermal wells and highways required an unconventional approach of utilizing only normalized impulsive sources to successfully reduce the artifacts. Virtual source gathers were produced successfully that contained strong surface waves at 0.4-2.5 Hz, an order of magnitude below the corner frequency of the geophones, and modest body waves at 22-30 Hz, which are generally more difficult to obtain due to the need for many large, well-distributed subsurface sources. The virtual source gathers compare well to nearby explosive shots and are more densely spaced, but have a much lower signal-to-noise ratio. Analysis of the surface waves was complicated by strong higher-order modes. Spectral analysis of virtual source gathers required utilization of the geothermal plant energy, which produced usable signal at offsets required for mode separation. The virtual source dispersion curve compared well to a dispersion curve from a nearby explosive shot. P-waves were observed on the virtual source gathers. Creation of a low-quality multichannel reflection stack revealed two weak reflectors in the upper 2 km.
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Acarel, Diğdem [Verfasser]. "Characterization of the Crustal Velocity Field in Space and Time Using Ambient Seismic Noise / Digdem Acarel." Berlin : Freie Universität Berlin, 2015. http://d-nb.info/1071547720/34.

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Books on the topic "Seismic ambient noise"

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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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Book chapters on the topic "Seismic ambient noise"

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Campillo, Michel, Philippe Roux, and Nikolai M. Shapiro. "Seismic, Ambient Noise Correlation." In Encyclopedia of Solid Earth Geophysics, 1230–36. Dordrecht: 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, 1–6. Cham: 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, 1557–62. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-58631-7_218.

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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, 1883–85. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-70548-4_544.

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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, 27–32. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40859-0_3.

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Al Yuncha, Z., F. Luzón, A. Posadas, J. Martín, G. Alguacil, J. Almendros, and S. Sánchez. "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, 1549–59. Basel: 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, 11–20. Berlin, Heidelberg: 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, 779–84. Boston, MA: 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, 767–78. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4613-2201-6_73.

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Buckingham, Michael J., Grant B. Deane, and Nicholas M. Carbone. "Inverting Ambient Noise in Shallow Water for the Bottom Geo-Acoustic Parameters." In Full Field Inversion Methods in Ocean and Seismo-Acoustics, 347–52. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-015-8476-0_56.

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Conference papers on the topic "Seismic ambient noise"

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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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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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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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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. Netherlands: EAGE Publications BV, 2017. http://dx.doi.org/10.3997/2214-4609.201800067.

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

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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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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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Albaric, J., G. Hillers, D. Kuehn, D. Harris, F. Brenguier, M. Ohrnberger, and V. Oye. "Ambient Seismic Noise Analysis from Array and Borehole Networks in Svalbard, Norway." In Fifth EAGE Passive Seismic Workshop. Netherlands: EAGE Publications BV, 2014. http://dx.doi.org/10.3997/2214-4609.20142158.

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Ridder*, Sjoerd de, Biondo Biondi, and Bob Clapp. "Time-lapse ambient-seismic-noise tomography at Valhall." In SEG Technical Program Expanded Abstracts 2014. Society of Exploration Geophysicists, 2014. http://dx.doi.org/10.1190/segam2014-0990.1.

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Reports on the topic "Seismic ambient noise"

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Song, Xiaodong. Surface Wave Dispersion Measurements and Tomography From Ambient Seismic Noise in China. Fort Belvoir, VA: Defense Technical Information Center, December 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. Fort Belvoir, VA: Defense Technical Information Center, March 2010. http://dx.doi.org/10.21236/ada519099.

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Pulliam, Robert, Frank Sepulveda, Joseph Thangraj, Diego Quiros, John Queen, Marge Queen, and Joe Iovenitti. 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), December 2019. http://dx.doi.org/10.2172/1648329.

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Tibuleac, Ileana, John Louie, Joe Iovenitti, Satish Pullammanappallil, William S. Honjas, Zachary Young, and Bill Honjas. Quantifying EGS Reservoir Complexity with an Integrated Geophysical Approach-Improved Resolution Ambient Seismic Noise Interferometry. Office of Scientific and Technical Information (OSTI), March 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. Fort Belvoir, VA: Defense Technical Information Center, June 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), June 2016. http://dx.doi.org/10.2172/1340606.

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