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Title: Improved moving window cross-spectral analysis for resolving large temporal seismic velocity changes in permafrost

Abstract

Cross correlations of seismic noise can potentially record large changes in subsurface velocity due to permafrost dynamics and be valuable for long-term Arctic monitoring. We applied seismic interferometry, using moving window cross-spectral analysis (MWCS), to 2 years of ambient noise data recorded in central Alaska to investigate whether seismic noise could be used to quantify relative velocity changes due to seasonal active-layer dynamics. The large velocity changes (>75%) between frozen and thawed soil caused prevalent cycle-skipping which made the method unusable in this setting. We developed an improved MWCS procedure which uses a moving reference to measure daily velocity variations that are then accumulated to recover the full seasonal change. This approach reduced cycle-skipping and recovered a seasonal trend that corresponded well with the timing of active-layer freeze and thaw. Lastly, this improvement opens the possibility of measuring large velocity changes by using MWCS and permafrost monitoring by using ambient noise.

Authors:
ORCiD logo [1];  [2]; ORCiD logo [2]; ORCiD logo [1]
  1. Univ. of Florida, Gainesville, FL (United States)
  2. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Sandia National Laboratories, null
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1374826
Alternate Identifier(s):
OSTI ID: 1389659
Report Number(s):
SAND2017-8386J
Journal ID: ISSN 0094-8276; 656018
Grant/Contract Number:  
AC04-94AL85000
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Geophysical Research Letters
Additional Journal Information:
Journal Volume: 44; Journal Issue: 9; Journal ID: ISSN 0094-8276
Publisher:
American Geophysical Union
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES

Citation Formats

James, S. R., Knox, H. A., Abbott, R. E., and Screaton, E. J. Improved moving window cross-spectral analysis for resolving large temporal seismic velocity changes in permafrost. United States: N. p., 2017. Web. doi:10.1002/2016GL072468.
James, S. R., Knox, H. A., Abbott, R. E., & Screaton, E. J. Improved moving window cross-spectral analysis for resolving large temporal seismic velocity changes in permafrost. United States. doi:10.1002/2016GL072468.
James, S. R., Knox, H. A., Abbott, R. E., and Screaton, E. J. Thu . "Improved moving window cross-spectral analysis for resolving large temporal seismic velocity changes in permafrost". United States. doi:10.1002/2016GL072468. https://www.osti.gov/servlets/purl/1374826.
@article{osti_1374826,
title = {Improved moving window cross-spectral analysis for resolving large temporal seismic velocity changes in permafrost},
author = {James, S. R. and Knox, H. A. and Abbott, R. E. and Screaton, E. J.},
abstractNote = {Cross correlations of seismic noise can potentially record large changes in subsurface velocity due to permafrost dynamics and be valuable for long-term Arctic monitoring. We applied seismic interferometry, using moving window cross-spectral analysis (MWCS), to 2 years of ambient noise data recorded in central Alaska to investigate whether seismic noise could be used to quantify relative velocity changes due to seasonal active-layer dynamics. The large velocity changes (>75%) between frozen and thawed soil caused prevalent cycle-skipping which made the method unusable in this setting. We developed an improved MWCS procedure which uses a moving reference to measure daily velocity variations that are then accumulated to recover the full seasonal change. This approach reduced cycle-skipping and recovered a seasonal trend that corresponded well with the timing of active-layer freeze and thaw. Lastly, this improvement opens the possibility of measuring large velocity changes by using MWCS and permafrost monitoring by using ambient noise.},
doi = {10.1002/2016GL072468},
journal = {Geophysical Research Letters},
number = 9,
volume = 44,
place = {United States},
year = {Thu Apr 13 00:00:00 EDT 2017},
month = {Thu Apr 13 00:00:00 EDT 2017}
}

Journal Article:
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Cited by: 1 work
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