Ambient seismic noise interferometry using rotational ground motion

2021 ◽  
Author(s):  
Céline Hadziioannou ◽  
Paul Neumann ◽  
Joachim Wassermann ◽  
Heiner Igel ◽  
Ulrich Schreiber ◽  
...  
Keyword(s):  
Ground Motion ◽  
Seismic Noise ◽  
Ambient Noise ◽  
Love Waves ◽  
Ambient Seismic Noise ◽  
Motion Sensors ◽  
Rotational Ground Motion ◽  
Noise Interferometry ◽  
Ring Lasers ◽  
Component Displacement

<p>In seismology, new sensing technologies are currently emerging that can measure ground motion beyond the conventional seismic translation measurements. In particular, rotational motion sensors record an additional 3 components of ground motion and thus provide access to additional information about the seismic wavefield. </p><p>So far, most studies of rotational ground motion are mainly based on recordings of earthquakes or active sources. In this study, we push the limit towards the very weak motions associated with ocean-generated ambient seismic noise. Our aim is to show the potential of using these measurements in the context of ambient noise interferometry. </p><p>We use recordings from two ring lasers in Germany: the `G-Ring' at the Wettzell Geodetic Observatory, and `ROMY' at the Fürstenfeldbruck Observatory near Munich, at a distance of approximately 160 km. These are the most sensitive instruments to date which offer a local, direct measurement of rotational ground motion. </p><p>We demonstrate that the sensitivity of the Wettzell instrument has been sufficiently improved to detect Love waves in the primary microseismic frequency band. Both the G-Ring and ROMY ring lasers are also capable of detecting Love waves in the stronger secondary microseismic band. This latter frequency range is used to test the possibility of performing noise interferometry with rotational records. </p><p>The first results of rotational noise interferometry between the two ring lasers are promising. The correlation waveform is verified by comparison with interferometry carried out with co-located seismometer data at both locations, as well as with numerical simulations. </p><p>In conclusion, we show that ambient noise interferometry is in principle feasible using real rotational recordings of ocean-generated noise. This proof of concept study forms a first step towards noise interferometery of 6-component displacement data. </p>

A linear algorithm for ambient seismic noise double beamforming without explicit crosscorrelations

Geophysics ◽  
2021 ◽  
Vol 86 (1) ◽  
pp. F1-F8
Author(s):  
Eileen R. Martin
Keyword(s):  
Correlation Functions ◽  
Seismic Noise ◽  
Ambient Noise ◽  
Computational Cost ◽  
Body Waves ◽  
Ambient Seismic Noise ◽  
Noise Correlation ◽  
Dense Array ◽  
Near Surface ◽  
Noise Interferometry

Geoscientists and engineers are increasingly using denser arrays for continuous seismic monitoring, and they often turn to ambient seismic noise interferometry for low-cost near-surface imaging. Although ambient noise interferometry greatly reduces acquisition costs, the computational cost of pair-wise comparisons between all sensors can be prohibitively slow or expensive for applications in engineering and environmental geophysics. Double beamforming of noise correlation functions is a powerful technique to extract body waves from ambient noise, but it is typically performed via pair-wise comparisons between all sensors in two dense array patches (scaling as the product of the number of sensors in one patch with the number of sensors in the other patch). By rearranging the operations involved in the double beamforming transform, I have developed a new algorithm that scales as the sum of the number of sensors in two array patches. Compared to traditional double beamforming of noise correlation functions, the new method is more scalable, easily parallelized, and it does not require raw data to be exchanged between dense array patches.

scholarly journals Teleseismic correlations of ambient seismic noise for deep global imaging of the Earth

2013 ◽  
Vol 194 (2) ◽  
pp. 844-848 ◽  
Author(s):  
P. Boué ◽  
P. Poli ◽  
M. Campillo ◽  
H. Pedersen ◽  
X. Briand ◽  
...  
Keyword(s):  
Seismic Noise ◽  
Ambient Noise ◽  
Inner Core ◽  
Global Analysis ◽  
Imaging Study ◽  
Ambient Seismic Noise ◽  
Core Mantle Boundary ◽  
The Core ◽  
The Earth ◽  
Earthquake Data

Abstract We present here a global analysis showing that wave paths probing the deepest part of the Earth can be obtained from ambient noise records. Correlations of seismic noise recorded at sensors located various distances apart provide new virtual seismograms for paths that are not present in earthquake data. The main arrivals already known for earthquake data are also present in teleseismic correlations sections, including waves that have propagated through the Earth's core. We present examples of applications of such teleseismic correlations to lithospheric imaging, study of the core mantle boundary or of the anisotropy of the inner core.

scholarly journals Quantifying EGS Reservoir Complexity with an Integrated Geophysical Approach-Improved Resolution Ambient Seismic Noise Interferometry

2019 ◽  
Author(s):  
Ileana Tibuleac ◽  
◽  
John Louie ◽  
Joe Iovenitti ◽  
Satish Pullammanappallil ◽  
...  
Keyword(s):  
Seismic Noise ◽  
Ambient Seismic Noise ◽  
Noise Interferometry

Ambient seismic noise interferometry for exploration and surveillance

2009 ◽  
Author(s):  
Arie Verdel ◽  
Xander Campman ◽  
Deyan Draganov ◽  
Kees Wapenaar
Keyword(s):  
Seismic Noise ◽  
Ambient Seismic Noise ◽  
Noise Interferometry

scholarly journals Ambient seismic noise interferometry in Hawai'i reveals long-range observability of volcanic tremor

2013 ◽  
Vol 194 (1) ◽  
pp. 512-523 ◽  
Author(s):  
S. Ballmer ◽  
C. J. Wolfe ◽  
P. G. Okubo ◽  
M. M. Haney ◽  
C. H. Thurber
Keyword(s):  
Long Range ◽  
Seismic Noise ◽  
Volcanic Tremor ◽  
Ambient Seismic Noise ◽  
Noise Interferometry

scholarly journals Source directionality of ambient seismic noise inferred from three-component beamforming

2021 ◽  
Author(s):  
Y Behr ◽  
John Townend ◽  
M Bowen ◽  
Lionel Carter ◽  
R Gorman ◽  
...  
Keyword(s):  
Seismic Noise ◽  
Love Wave ◽  
Love Waves ◽  
Ambient Seismic Noise ◽  
Wave Source ◽  
Source Regions ◽  
Key Points ◽  
Rayleigh And Love Waves ◽  
American Geophysical ◽  
S Period

The increased use of ambient seismic noise for seismic imaging requires better understanding of the ambient seismic noise wavefield and its source locations and mechanisms. Although the source regions and mechanisms of Rayleigh waves have been studied extensively, characterization of Love wave source processes are sparse or absent. We present here the first systematic comparison of ambient seismic noise source directions within the primary (~10-20 s period) and secondary (~5-10 s period) microseism bands for both Rayleigh and Love waves in the Southern Hemisphere using vertical- and horizontal-component ambient seismic noise recordings from a dense temporary network of 68 broadband seismometers in New Zealand. Our analysis indicates that Rayleigh and Love waves within the primary microseism band appear to be mostly generated in different areas, whereas in the secondary microseism band they arrive from similar backazimuths. Furthermore, the source areas of surface waves within the secondary microseism band correlate well with modeled deep-water and near-coastal source regions. Key Points Rayleigh and Love wave source regions of the secondary microseism are co-located Rayleigh and Love wave source regions of the primary microseism differ strongly Observed and modeled source directions for the secondary microseism agree well ©2012. American Geophysical Union. All Rights Reserved.

scholarly journals Source directionality of ambient seismic noise inferred from three-component beamforming

2021 ◽  
Author(s):  
Y Behr ◽  
John Townend ◽  
M Bowen ◽  
Lionel Carter ◽  
R Gorman ◽  
...  
Keyword(s):  
Seismic Noise ◽  
Love Wave ◽  
Love Waves ◽  
Ambient Seismic Noise ◽  
Wave Source ◽  
Source Regions ◽  
Key Points ◽  
Rayleigh And Love Waves ◽  
American Geophysical ◽  
S Period

The increased use of ambient seismic noise for seismic imaging requires better understanding of the ambient seismic noise wavefield and its source locations and mechanisms. Although the source regions and mechanisms of Rayleigh waves have been studied extensively, characterization of Love wave source processes are sparse or absent. We present here the first systematic comparison of ambient seismic noise source directions within the primary (~10-20 s period) and secondary (~5-10 s period) microseism bands for both Rayleigh and Love waves in the Southern Hemisphere using vertical- and horizontal-component ambient seismic noise recordings from a dense temporary network of 68 broadband seismometers in New Zealand. Our analysis indicates that Rayleigh and Love waves within the primary microseism band appear to be mostly generated in different areas, whereas in the secondary microseism band they arrive from similar backazimuths. Furthermore, the source areas of surface waves within the secondary microseism band correlate well with modeled deep-water and near-coastal source regions. Key Points Rayleigh and Love wave source regions of the secondary microseism are co-located Rayleigh and Love wave source regions of the primary microseism differ strongly Observed and modeled source directions for the secondary microseism agree well ©2012. American Geophysical Union. All Rights Reserved.

Optimization of ambient seismic noise interferometry to monitor groundwater level variations.

2020 ◽  
Author(s):  
Marco Taruselli ◽  
Diego Arosio ◽  
Laura Longoni ◽  
Monica Papini ◽  
Luigi Zanzi
Keyword(s):  
Seismic Noise ◽  
Cross Correlation ◽  
Seismic Velocity ◽  
Time Windows ◽  
Underground Water ◽  
Ambient Seismic Noise ◽  
Correlation Technique ◽  
Noise Interferometry ◽  
The Cross ◽  
Cross Correlation Technique

<p> In this work, we test the cross-correlation of ambient seismic noise method in monitoring underground water variations. Within this perspective we applied the abovementioned technique to study the water table changes occurring both in areas exploited for drinking water needs and inside landslides. Into detail, surveys were carried out in Crépieux-Charmy and Ventasso water catchment fields and in the Cà Lita landslide, respectively. Our aim is to optimize the outcome of the method by studying the effect of different processing steps involved in the computation of the cross-correlation technique. For this purpose, we analyzed the influence of filter types and different time windows length. Additionally, in order to address the problem of localization of the change in the medium the seismic velocity variations have been also derived from limited frequency bandwidths according to the characteristics observed in the signals spectrum. This work has shown the potential of this methodology as a valuable non-destructive toll to accurately describe hydrogeological dynamics. The monitoring system could thus be coupled with the traditional tools to improve the reconstruction of the underground water variations.</p>

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