DocumentCode
1242496
Title
Estimation of the Acoustic-to-Seismic Coupling Ratio Using a Moving Vehicle Source
Author
Moran, Mark L. ; Greenfield, Roy J.
Author_Institution
Eng. R&D Center, U.S. Army Corps of Eng., Hanover, NH
Volume
46
Issue
7
fYear
2008
fDate
7/1/2008 12:00:00 AM
Firstpage
2038
Lastpage
2043
Abstract
We present a simple passive technique for estimating the acoustic-to-seismic signal coupling ratio (SAR) in the ground using noise produced by moving vehicles. The seismic signal received on a geophone contains some energy that has propagated as seismic waves and some energy that couples from acoustic waves to seismic waves in the vicinity of the geophone. We use the frequency-domain coherence between the microphone and geophone signals to determine when the seismic signal is predominantly due to acoustic-to-seismic wave coupling. In frequency bands where the microphone and geophone coherence is above 0.8, the ratio of the seismic ground particle velocity to sound pressure-SAR-can be determined with less than 2 dB of error. The method is applied to data from a summer experiment with grass ground cover and at two winter experiments with snow-covered ground. At 100 Hz, the summer analysis yields a SAR value of 1.0 times 10-5 [(m/s)/Pa]. In addition, at 100 Hz, the two winter tests yield SAR between 0.1 times 10-5 and 1.0 times 10-5 [(m/s)/Pa]. In the later winter result, our vehicle-derived SAR estimate is shown to be in excellent agreement with SAR estimates obtained from blank pistol shots. Through the opportunistic exploitation background noise sources, our approach opens the possibility for automatic adaptation of unattended acoustic area, monitoring sensors to changing ground conditions.
Keywords
geophysical techniques; road vehicles; seismic waves; seismometers; surface acoustic wave signal processing; acoustic-to-seismic coupling ratio estimation; blank pistol shots; geophone; moving vehicle source; seismic signal; seismic waves; Acoustic applications; acoustic reflection; atmospheric measurements; surface acoustic wave signal processing;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/TGRS.2007.910712
Filename
4539259
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