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

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


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


2019 ◽  
Vol 124 (3) ◽  
pp. 2920-2940 ◽  
Author(s):  
J. E. Martins ◽  
E. Ruigrok ◽  
D. Draganov ◽  
A. Hooper ◽  
R. F. Hanssen ◽  
...  




2021 ◽  
Vol 11 (24) ◽  
pp. 11718
Author(s):  
Jie Fang ◽  
Guofeng Liu ◽  
Yu Liu

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.



2021 ◽  
Vol 13 (23) ◽  
pp. 4818
Author(s):  
Faezeh Shirmohammadi ◽  
Deyan Draganov ◽  
Mohammad Reza Hatami ◽  
Cornelis Weemstra

Seismic interferometry (SI) refers to the principle of generating new seismic responses using crosscorrelations of existing wavefield recordings. In this study, we report on the use of a specific interferometric approach, called seismic interferometry by multidimensional deconvolution (SI by MDD), for the purpose of retrieving surface-wave responses. In theory, SI by MDD suffers less from irregularities in the distribution of (passive) sources than conventional SI. Here, we confirm this advantage for the application to surface waves originating from regional earthquakes close to Central Chile. For that purpose, we use the Malargüe seismic array in Argentina. This T-shaped array consists of two perpendicular lines of stations, which makes it rather suitable for the application of SI by MDD. Comparing the responses retrieved through SI by MDD to the responses retrieved using conventional SI, we find that the application of SI by MDD results in surface-wave responses that are both more accurate and more stable than surface-wave responses that are retrieved using conventional SI. That is, our results demonstrate that SI by MDD suffers less from non-uniformly distributed earthquakes and differences in the power spectra of earthquake responses. In addition, we show that SI by MDD mitigates the effect of site amplification on the retrieved surface waves.



2020 ◽  
Vol 68 (4) ◽  
pp. 3194-3206
Author(s):  
Qingfeng Zhang ◽  
Dingfei Ma ◽  
Xiaolan Tang ◽  
Ge Zhang ◽  
Zhan Zhang ◽  
...  




2021 ◽  
Author(s):  
Rowan Romeyn ◽  
Alfred Hanssen ◽  
Andreas Köhler ◽  
Bent Ole Ruud ◽  
Helene Meling Stemland ◽  
...  

<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>



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