Comparisons between non-interferometric and interferometric passive surface wave imaging methods – Towards linear receiver array

2020 ◽  
Author(s):  
Feng Cheng ◽  
Jianghai Xia ◽  
Zongbo Xu ◽  
Jonathan Ajo-Franklin
Keyword(s):  
Surface Wave ◽  
Imaging Methods ◽  
Receiver Array ◽  
Linear Receiver ◽  
Wave Imaging

A pitfall of applying one-bit normalization in passive surface-wave imaging from ultra-short roadside noise

2021 ◽  
Vol 187 ◽  
pp. 104285 ◽  
Author(s):  
Hongyu Zhang ◽  
Binbin Mi ◽  
Ya Liu ◽  
Chaoqiang Xi ◽  
Kouao Laurent Kouadio
Keyword(s):  
Surface Wave ◽  
Wave Imaging

Scattered-surface wave imaging: from the lab to the field

2010 ◽  
Author(s):  
A. Kaslilar ◽  
X. Campman
Keyword(s):  
Surface Wave ◽  
Wave Imaging

scholarly journals Seismic interferometry of railroad induced ground motions: body and surface wave imaging

2016 ◽  
Vol 205 (1) ◽  
pp. 301-313 ◽  
Author(s):  
Diego A. Quiros ◽  
Larry D. Brown ◽  
Doyeon Kim
Keyword(s):  
Surface Wave ◽  
Ground Motions ◽  
Seismic Interferometry ◽  
Wave Imaging

The effect of wave breaking on surface wave imaging by Synthetic Aperture Radar

2006 ◽  
Vol 24 (1) ◽  
pp. 21-27 ◽  
Author(s):  
Sun Jian ◽  
Guan Changlong ◽  
Shi Jian
Keyword(s):  
Surface Wave ◽  
Synthetic Aperture Radar ◽  
Wave Breaking ◽  
Synthetic Aperture ◽  
Wave Imaging ◽  
Aperture Radar

scholarly journals Application of an Automatic Noise or Signal Removal Algorithm Based on Synchrosqueezed Continuous Wavelet Transform of Passive Surface Wave Imaging: A Case Study in Sichuan, China

2021 ◽  
Vol 11 (24) ◽  
pp. 11718
Author(s):  
Jie Fang ◽  
Guofeng Liu ◽  
Yu Liu
Keyword(s):  
Wavelet Transform ◽  
Surface Wave ◽  
Surface Waves ◽  
Continuous Wavelet Transform ◽  
Cross Correlation ◽  
Underground Structure ◽  
Inversion Method ◽  
Continuous Wavelet ◽  
Dispersion Measurement ◽  
Wave Imaging

Passive surface wave imaging based on noise cross-correlation has been a research hotspot in recent years. However, because randomness of noise is difficult to achieve in reality, prominent noise sources will inevitably affect the dispersion measurement. Additionally, in order to recover high-fidelity surface waves, the time series input during cross-correlation calculation is usually very long, which greatly limits the efficiency of passive surface wave imaging. With an automatic noise or signal removal algorithm based on synchrosqueezed continuous wavelet transform (SS-CWT), these problems can be alleviated. We applied this method to 1-h passive datasets acquired in Sichuan province, China; separated the prominent noise events in the raw field data, and enhanced the cross-correlation reconstructed surface waves, effectively improving the accuracy of the dispersion measurement. Then, using the conventional surface wave inversion method, the shear wave velocity profile of the underground structure in this area was obtained.

1-D Frequency-Diverse Single-Shot Guided-Wave Imaging Using Surface-Wave Goubau Line

2020 ◽  
Vol 68 (4) ◽  
pp. 3194-3206
Author(s):  
Qingfeng Zhang ◽  
Dingfei Ma ◽  
Xiaolan Tang ◽  
Ge Zhang ◽  
Zhan Zhang ◽  
...  
Keyword(s):  
Surface Wave ◽  
Guided Wave ◽  
Single Shot ◽  
Wave Imaging

Frost quakes – the sound of a dynamic cryosphere and a convenient source for passive surface wave imaging of permafrost

2021 ◽  
Author(s):  
Rowan Romeyn ◽  
Alfred Hanssen ◽  
Andreas Köhler ◽  
Bent Ole Ruud ◽  
Helene Meling Stemland ◽  
...  
Keyword(s):  
Thermal Stress ◽  
Surface Wave ◽  
Wave Dispersion ◽  
Surface Wave Dispersion ◽  
Near Surface ◽  
Wave Imaging ◽  
Passive Seismic ◽  
Temporal Occurrence ◽  
Similar Class ◽  
Cooling Air

<p>A class of short-duration seismic events were recorded on dense, temporary geophone arrays deployed in Adventdalen, Svalbard in spring and autumn 2019. A similar class of events have also been detected in seismic records from the SPITS seismic array located on Janssonhaugen in Adventdalen, that has been in continuous operation since the 1990’s. In both cases, estimated source positions are dominantly local and cluster around frost polygon, ice-wedge geomorphologies. Correlation with periods of rapidly cooling air temperature and consequent thermal stress build-up in the near surface are also observed. These events are consequently interpreted as frost quakes, a class of cryoseism. The dense, temporary arrays allowed high quality surface-wave dispersion images to be generated, that show potential to monitor structure and change in permafrost through passive seismic deployments. While the lower wavenumber resolution of the sparser SPITS array is less suited to imaging the near-surface in detail, the long continuous recording period gives us a unique insight into the temporal occurrence of frost quakes. This allows us, for example, to better understand the dynamic processes leasing to frost quakes by correlating temporal occurrence with models of thermal stress in the ground, constrained by thermistor temperature measurements from a nearby borehole.</p>

Surface Wave Imaging Using Distributed Acoustic Sensing Deployed on Dark Fiber

2021 ◽  
pp. 197-212
Author(s):  
Verónica Rodríguez Tribaldos ◽  
Jonathan B. Ajo‐Franklin ◽  
Shan Dou ◽  
Nathaniel J. Lindsey ◽  
Craig Ulrich ◽  
...  
Keyword(s):  
Surface Wave ◽  
Acoustic Sensing ◽  
Wave Imaging ◽  
Distributed Acoustic Sensing
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