Comparisons of Surface and Borehole Broadband Ambient Seismic Noise at IRIS Station RAR: Raratonga, Cook Islands

1992 ◽  
Author(s):  
Holly K. Given
Keyword(s):  
Seismic Noise ◽  
Ambient Seismic Noise ◽  
Cook Islands

scholarly journals Surface wave dispersion measurements from ambient seismic noise analysis in Italy

2010 ◽  
Vol 180 (3) ◽  
pp. 1242-1252 ◽  
Author(s):  
Hongyi Li ◽  
Fabrizio Bernardi ◽  
Alberto Michelini
Keyword(s):  
Surface Wave ◽  
Seismic Noise ◽  
Noise Analysis ◽  
Wave Dispersion ◽  
Ambient Seismic Noise ◽  
Surface Wave Dispersion

scholarly journals Submarine permafrost depth from ambient seismic noise

2015 ◽  
Vol 42 (18) ◽  
pp. 7581-7588 ◽  
Author(s):  
Pier P. Overduin ◽  
Christian Haberland ◽  
Trond Ryberg ◽  
Fabian Kneier ◽  
Tim Jacobi ◽  
...  
Keyword(s):  
Seismic Noise ◽  
Ambient Seismic Noise

Near‐surface VSstructure by inversion of surface wave estimated from ambient seismic noise

2015 ◽  
Vol 13 (5) ◽  
pp. 447-455 ◽  
Author(s):  
Taghi Shirzad ◽  
Z. Hossein Shomali ◽  
Mojtaba Naghavi ◽  
Rahim Norouzi
Keyword(s):  
Surface Wave ◽  
Seismic Noise ◽  
Ambient Seismic Noise ◽  
Near Surface

scholarly journals Imaging New Zealand's Crustal Structure Using Ambient Seismic Noise Recordings from Permanent and Temporary Instruments

2021 ◽  
Author(s):  
◽  
Yannik Behr
Keyword(s):  
Seismic Noise ◽  
Cross Correlation ◽  
Velocity Structure ◽  
Shear Velocity ◽  
Ambient Seismic Noise ◽  
Uppermost Mantle ◽  
Noise Sources ◽  
Noise Field ◽  
Rayleigh And Love Waves ◽  
Noise Cross Correlation

<p>We use ambient seismic noise to image the crust and uppermost mantle, and to determine the spatiotemporal characteristics of the noise field itself, and examine the way in which those characteristics may influence imaging results. Surface wave information extracted from ambient seismic noise using cross-correlation methods significantly enhances our knowledge of the crustal and uppermost mantle shear-velocity structure of New Zealand. We assemble a large dataset of three-component broadband continuous seismic data from temporary and permanent seismic stations, increasing the achievable resolution of surface wave velocity maps in comparison to a previous study. Three-component data enables us to examine both Rayleigh and Love waves using noise cross-correlation functions. Employing a Monte Carlo inversion method, we invert Rayleigh and Love wave phase and group velocity dispersion curves separately for spatially averaged isotropic shear velocity models beneath the Northland Peninsula. The results yield first-order radial anisotropy estimates of 2% in the upper crust and up to 15% in the lower crust, and estimates of Moho depth and uppermost mantle velocity compatible with previous studies. We also construct a high-resolution, pseudo-3D image of the shear-velocity distribution in the crust and uppermost mantle beneath the central North Island using Rayleigh and Love waves. We document, for the first time, the lateral extent of low shear-velocity zones in the upper and mid-crust beneath the highly active Taupo Volcanic Zone, which have been reported previously based on spatially confined 1D shear-velocity profiles. Attributing these low shear-velocities to the presence of partial melt, we use an empirical relation to estimate an average percentage of partial melt of < 4:2% in the upper and middle crust. Analysis of the ambient seismic noise field in the North Island using plane wave beamforming and slant stacking indicates that higher mode Rayleigh waves can be detected, in addition to the fundamental mode. The azimuthal distributions of seismic noise sources inferred from beamforming are compatible with high near-coastal ocean wave heights in the period band of the secondary microseism (~7 s). Averaged over 130 days, the distribution of seismic noise sources is azimuthally homogeneous, indicating that the seismic noise field is well-suited to noise cross-correlation studies. This is underpinned by the good agreement of our results with those from previous studies. The effective homogeneity of the seismic noise field and the large dataset of noise cross-correlation functions we here compiled, provide the cornerstone for future studies of ambient seismic noise and crustal shear velocity structure in New Zealand.</p>

scholarly journals Surface wave tomography of China from ambient seismic noise correlation

2008 ◽  
Vol 9 (5) ◽  
pp. n/a-n/a ◽  
Author(s):  
Sihua Zheng ◽  
Xinlei Sun ◽  
Xiaodong Song ◽  
Yingjie Yang ◽  
Michael H. Ritzwoller
Keyword(s):  
Surface Wave ◽  
Seismic Noise ◽  
Ambient Seismic Noise ◽  
Noise Correlation ◽  
Surface Wave Tomography ◽  
Wave Tomography

Extracting subsurface information from ambient seismic noise — an example from Germany

2009 ◽  
Author(s):  
B. Schechinger ◽  
A. Goertz ◽  
B. Artman ◽  
M.‐A. Lambert ◽  
M. Koerbe ◽  
...  
Keyword(s):  
Seismic Noise ◽  
Ambient Seismic Noise
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