Surface-wave analysis for identifying unfrozen zones in subglacial sediments

To reveal the extent of freezing in subglacial sediments, we estimated S-wave velocity along a glacier using surface-wave analysis. Because the S-wave velocity varies significantly with the degree of freezing of the pore fluid in the sediments, this information is useful for identifying unfrozen zon...

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Main Authors: Tsuji, Takeshi, Johansen, Tor Arne, Bent Ole Ruud, Ikeda, Tatsunori, Matsuoka, Toshifumi
Format: Article in Journal/Newspaper
Language:English
Published: Society of Exploration Geophysicists 2012
Subjects:
Ice
Online Access:http://hdl.handle.net/2433/163454
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record_format openpolar
spelling ftkyotouniv:oai:repository.kulib.kyoto-u.ac.jp:2433/163454 2023-05-15T15:12:39+02:00 Surface-wave analysis for identifying unfrozen zones in subglacial sediments Tsuji, Takeshi Johansen, Tor Arne Bent Ole Ruud Ikeda, Tatsunori Matsuoka, Toshifumi 2012-04 application/pdf http://hdl.handle.net/2433/163454 eng eng Society of Exploration Geophysicists 10.1190/geo2011-0222.1 0016-8033 http://hdl.handle.net/2433/163454 AA00657146 GEOPHYSICS 77 3 EN17 EN27 ©2012 Society of Exploration Geophysicists near surface permafrost shear wave (S-wave) inversion surface wave Journal Article 2012 ftkyotouniv 2017-10-28T22:40:21Z To reveal the extent of freezing in subglacial sediments, we estimated S-wave velocity along a glacier using surface-wave analysis. Because the S-wave velocity varies significantly with the degree of freezing of the pore fluid in the sediments, this information is useful for identifying unfrozen zones within subglacial sediments, which again is important for glacier dynamics. We used active-source multichannel seismic data originally acquired for reflection analysis along a glacier at Spitsbergen in the Norwegian Arctic and proposed an effective approach of multichannel analysis of surface waves (MASW) in a glacier environment. Common-midpoint crosscorrelation gathers were used for the MASW to improve lateral resolution because the glacier bed has a rough topology. We used multimode analysis with a genetic algorithm inversion to estimate the S-wave velocity due to the potential existence of a low-velocity layer beneath the glacier ice and the observation of higher modes in the dispersion curves. In the inversion, we included information of ice thickness derived from high-resolution ground-penetrating radar data because a simulation study demonstrated that the ice thickness was necessary to estimate accurate S-wave velocity distribution of deep subglacial sediment. The estimated S-wave velocity distribution along the seismic line indicated that low velocities occurred below the glacier, especially beneath thick ice (~1300 m/s for ice thicknesses larger than 50 m). Because this velocity was much lower than the velocity in pure ice (~1800 m/s), the pore fluid was partially melted at the ice–sediment interface. At the shallower subglacial sediments (ice thickness less than 50 m), the S-wave velocity was similar to that of the pure ice, suggesting that shallow subglacial sediments are more frozen than sediments beneath thick ice. Article in Journal/Newspaper Arctic Ice permafrost Spitsbergen Kyoto University Research Information Repository (KURENAI) Arctic
institution Open Polar
collection Kyoto University Research Information Repository (KURENAI)
op_collection_id ftkyotouniv
language English
topic near surface
permafrost
shear wave (S-wave)
inversion
surface wave
spellingShingle near surface
permafrost
shear wave (S-wave)
inversion
surface wave
Tsuji, Takeshi
Johansen, Tor Arne
Bent Ole Ruud
Ikeda, Tatsunori
Matsuoka, Toshifumi
Surface-wave analysis for identifying unfrozen zones in subglacial sediments
topic_facet near surface
permafrost
shear wave (S-wave)
inversion
surface wave
description To reveal the extent of freezing in subglacial sediments, we estimated S-wave velocity along a glacier using surface-wave analysis. Because the S-wave velocity varies significantly with the degree of freezing of the pore fluid in the sediments, this information is useful for identifying unfrozen zones within subglacial sediments, which again is important for glacier dynamics. We used active-source multichannel seismic data originally acquired for reflection analysis along a glacier at Spitsbergen in the Norwegian Arctic and proposed an effective approach of multichannel analysis of surface waves (MASW) in a glacier environment. Common-midpoint crosscorrelation gathers were used for the MASW to improve lateral resolution because the glacier bed has a rough topology. We used multimode analysis with a genetic algorithm inversion to estimate the S-wave velocity due to the potential existence of a low-velocity layer beneath the glacier ice and the observation of higher modes in the dispersion curves. In the inversion, we included information of ice thickness derived from high-resolution ground-penetrating radar data because a simulation study demonstrated that the ice thickness was necessary to estimate accurate S-wave velocity distribution of deep subglacial sediment. The estimated S-wave velocity distribution along the seismic line indicated that low velocities occurred below the glacier, especially beneath thick ice (~1300 m/s for ice thicknesses larger than 50 m). Because this velocity was much lower than the velocity in pure ice (~1800 m/s), the pore fluid was partially melted at the ice–sediment interface. At the shallower subglacial sediments (ice thickness less than 50 m), the S-wave velocity was similar to that of the pure ice, suggesting that shallow subglacial sediments are more frozen than sediments beneath thick ice.
format Article in Journal/Newspaper
author Tsuji, Takeshi
Johansen, Tor Arne
Bent Ole Ruud
Ikeda, Tatsunori
Matsuoka, Toshifumi
author_facet Tsuji, Takeshi
Johansen, Tor Arne
Bent Ole Ruud
Ikeda, Tatsunori
Matsuoka, Toshifumi
author_sort Tsuji, Takeshi
title Surface-wave analysis for identifying unfrozen zones in subglacial sediments
title_short Surface-wave analysis for identifying unfrozen zones in subglacial sediments
title_full Surface-wave analysis for identifying unfrozen zones in subglacial sediments
title_fullStr Surface-wave analysis for identifying unfrozen zones in subglacial sediments
title_full_unstemmed Surface-wave analysis for identifying unfrozen zones in subglacial sediments
title_sort surface-wave analysis for identifying unfrozen zones in subglacial sediments
publisher Society of Exploration Geophysicists
publishDate 2012
url http://hdl.handle.net/2433/163454
geographic Arctic
geographic_facet Arctic
genre Arctic
Ice
permafrost
Spitsbergen
genre_facet Arctic
Ice
permafrost
Spitsbergen
op_relation 10.1190/geo2011-0222.1
0016-8033
http://hdl.handle.net/2433/163454
AA00657146
GEOPHYSICS
77
3
EN17
EN27
op_rights ©2012 Society of Exploration Geophysicists
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