Potential Use of Time-Lapse Surface Seismics for Monitoring Thawing of the Terrestrial Arctic

The terrestrial Arctic is warming rapidly, causing changes in the degree of freezing of the upper sediments, which the mechanical properties of unconsolidated sediments strongly depend upon. This study investigates the potential of using time-lapse surface seismics to monitor thawing of currently (p...

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Published in:Applied Sciences
Main Authors: Helene Meling Stemland, Tor Arne Johansen, Bent Ole Ruud
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2020
Subjects:
Online Access:https://doi.org/10.3390/app10051875
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spelling ftmdpi:oai:mdpi.com:/2076-3417/10/5/1875/ 2023-08-20T04:03:52+02:00 Potential Use of Time-Lapse Surface Seismics for Monitoring Thawing of the Terrestrial Arctic Helene Meling Stemland Tor Arne Johansen Bent Ole Ruud agris 2020-03-09 application/pdf https://doi.org/10.3390/app10051875 EN eng Multidisciplinary Digital Publishing Institute Acoustics and Vibrations https://dx.doi.org/10.3390/app10051875 https://creativecommons.org/licenses/by/4.0/ Applied Sciences; Volume 10; Issue 5; Pages: 1875 geophysics permafrost rayleigh wave heat flux modeling seismic modeling rock physics modeling seismic experiments frozen ground saline Text 2020 ftmdpi https://doi.org/10.3390/app10051875 2023-07-31T23:12:54Z The terrestrial Arctic is warming rapidly, causing changes in the degree of freezing of the upper sediments, which the mechanical properties of unconsolidated sediments strongly depend upon. This study investigates the potential of using time-lapse surface seismics to monitor thawing of currently (partly) frozen ground utilizing synthetic and real seismic data. First, we construct a simple geological model having an initial temperature of −5 °C, and infer constant surface temperatures of −5 °C, +1 °C, +5 °C, and +10 °C for four years to this model. The geological models inferred by the various thermal regimes are converted to seismic models using rock physics modeling and subsequently seismic modeling based on wavenumber integration. Real seismic data reflecting altered surface temperatures were acquired by repeated experiments in the Norwegian Arctic during early autumn to mid-winter. Comparison of the surface wave characteristics of both synthetic and real seismic data reveals time-lapse effects that are related to thawing caused by varying surface temperatures. In particular, the surface wave dispersion is sensitive to the degree of freezing in unconsolidated sediments. This demonstrates the potential of using surface seismics for Arctic climate monitoring, but inversion of dispersion curves and knowledge of the local near-surface geology is important for such studies to be conclusive. Text Arctic permafrost MDPI Open Access Publishing Arctic Applied Sciences 10 5 1875
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic geophysics
permafrost
rayleigh wave
heat flux modeling
seismic modeling
rock physics modeling
seismic experiments
frozen ground
saline
spellingShingle geophysics
permafrost
rayleigh wave
heat flux modeling
seismic modeling
rock physics modeling
seismic experiments
frozen ground
saline
Helene Meling Stemland
Tor Arne Johansen
Bent Ole Ruud
Potential Use of Time-Lapse Surface Seismics for Monitoring Thawing of the Terrestrial Arctic
topic_facet geophysics
permafrost
rayleigh wave
heat flux modeling
seismic modeling
rock physics modeling
seismic experiments
frozen ground
saline
description The terrestrial Arctic is warming rapidly, causing changes in the degree of freezing of the upper sediments, which the mechanical properties of unconsolidated sediments strongly depend upon. This study investigates the potential of using time-lapse surface seismics to monitor thawing of currently (partly) frozen ground utilizing synthetic and real seismic data. First, we construct a simple geological model having an initial temperature of −5 °C, and infer constant surface temperatures of −5 °C, +1 °C, +5 °C, and +10 °C for four years to this model. The geological models inferred by the various thermal regimes are converted to seismic models using rock physics modeling and subsequently seismic modeling based on wavenumber integration. Real seismic data reflecting altered surface temperatures were acquired by repeated experiments in the Norwegian Arctic during early autumn to mid-winter. Comparison of the surface wave characteristics of both synthetic and real seismic data reveals time-lapse effects that are related to thawing caused by varying surface temperatures. In particular, the surface wave dispersion is sensitive to the degree of freezing in unconsolidated sediments. This demonstrates the potential of using surface seismics for Arctic climate monitoring, but inversion of dispersion curves and knowledge of the local near-surface geology is important for such studies to be conclusive.
format Text
author Helene Meling Stemland
Tor Arne Johansen
Bent Ole Ruud
author_facet Helene Meling Stemland
Tor Arne Johansen
Bent Ole Ruud
author_sort Helene Meling Stemland
title Potential Use of Time-Lapse Surface Seismics for Monitoring Thawing of the Terrestrial Arctic
title_short Potential Use of Time-Lapse Surface Seismics for Monitoring Thawing of the Terrestrial Arctic
title_full Potential Use of Time-Lapse Surface Seismics for Monitoring Thawing of the Terrestrial Arctic
title_fullStr Potential Use of Time-Lapse Surface Seismics for Monitoring Thawing of the Terrestrial Arctic
title_full_unstemmed Potential Use of Time-Lapse Surface Seismics for Monitoring Thawing of the Terrestrial Arctic
title_sort potential use of time-lapse surface seismics for monitoring thawing of the terrestrial arctic
publisher Multidisciplinary Digital Publishing Institute
publishDate 2020
url https://doi.org/10.3390/app10051875
op_coverage agris
geographic Arctic
geographic_facet Arctic
genre Arctic
permafrost
genre_facet Arctic
permafrost
op_source Applied Sciences; Volume 10; Issue 5; Pages: 1875
op_relation Acoustics and Vibrations
https://dx.doi.org/10.3390/app10051875
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/app10051875
container_title Applied Sciences
container_volume 10
container_issue 5
container_start_page 1875
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