Broadband spectral induced polarization for the detection of Permafrost and an approach to ice content estimation – a case study from Yakutia, Russia
The reliable detection of subsurface ice using non-destructive geophysical methods is an important objective in permafrost research. The ice content of the frozen ground is an essential parameter for further interpretation, for example in terms of risk analysis and for the description of permafrost...
Published in: | The Cryosphere |
---|---|
Main Authors: | , , , , , , |
Format: | Text |
Language: | English |
Published: |
2022
|
Subjects: | |
Online Access: | https://doi.org/10.5194/tc-16-4727-2022 https://tc.copernicus.org/articles/16/4727/2022/ |
id |
ftcopernicus:oai:publications.copernicus.org:tc94764 |
---|---|
record_format |
openpolar |
spelling |
ftcopernicus:oai:publications.copernicus.org:tc94764 2023-05-15T16:36:46+02:00 Broadband spectral induced polarization for the detection of Permafrost and an approach to ice content estimation – a case study from Yakutia, Russia Mudler, Jan Hördt, Andreas Kreith, Dennis Sugand, Madhuri Bazhin, Kirill Lebedeva, Lyudmila Radić, Tino 2022-11-14 application/pdf https://doi.org/10.5194/tc-16-4727-2022 https://tc.copernicus.org/articles/16/4727/2022/ eng eng doi:10.5194/tc-16-4727-2022 https://tc.copernicus.org/articles/16/4727/2022/ eISSN: 1994-0424 Text 2022 ftcopernicus https://doi.org/10.5194/tc-16-4727-2022 2022-11-21T17:22:43Z The reliable detection of subsurface ice using non-destructive geophysical methods is an important objective in permafrost research. The ice content of the frozen ground is an essential parameter for further interpretation, for example in terms of risk analysis and for the description of permafrost carbon feedback by thawing processes. The high-frequency induced polarization method (HFIP) enables the measurement of the frequency-dependent electrical conductivity and permittivity of the subsurface, in a frequency range between 100 Hz and 100 kHz . As the electrical permittivity of ice exhibits a strong characteristic behaviour in this frequency range, HFIP in principle is suitable to estimate ice content. Here, we present methodological advancements of the HFIP method and suggest an explicit procedure for ice content estimation. A new measuring device, the Chameleon-II (Radic Research), was used for the first time. Compared to a previous generation, the new system is equipped with longer cables and higher power, such that we can now achieve larger penetration depths up to 10 m . Moreover, it is equipped with technology to reduce electromagnetic coupling effects which can distort the desired subsurface signal. The second development is a method to estimate ice content quantitatively from five Cole–Cole parameters obtained from spectral two-dimensional inversion results. The method is based on a description of the subsurface as a mixture of two components (matrix and ice) and uses a previously suggested relationship between frequency-dependent electrical permittivity and ice content. In this model, the ice relaxation is considered the dominant process in the frequency range around 10 kHz . Measurements on a permafrost site near Yakutsk, Russia, were carried out to test the entire procedure under real conditions at the field scale. We demonstrate that the spectral signal of ice can clearly be identified even in the raw data and show that the spectral 2-D inversion algorithm is suitable to obtain the multidimensional ... Text Ice permafrost Yakutia Yakutsk Copernicus Publications: E-Journals Yakutsk The Cryosphere 16 11 4727 4744 |
institution |
Open Polar |
collection |
Copernicus Publications: E-Journals |
op_collection_id |
ftcopernicus |
language |
English |
description |
The reliable detection of subsurface ice using non-destructive geophysical methods is an important objective in permafrost research. The ice content of the frozen ground is an essential parameter for further interpretation, for example in terms of risk analysis and for the description of permafrost carbon feedback by thawing processes. The high-frequency induced polarization method (HFIP) enables the measurement of the frequency-dependent electrical conductivity and permittivity of the subsurface, in a frequency range between 100 Hz and 100 kHz . As the electrical permittivity of ice exhibits a strong characteristic behaviour in this frequency range, HFIP in principle is suitable to estimate ice content. Here, we present methodological advancements of the HFIP method and suggest an explicit procedure for ice content estimation. A new measuring device, the Chameleon-II (Radic Research), was used for the first time. Compared to a previous generation, the new system is equipped with longer cables and higher power, such that we can now achieve larger penetration depths up to 10 m . Moreover, it is equipped with technology to reduce electromagnetic coupling effects which can distort the desired subsurface signal. The second development is a method to estimate ice content quantitatively from five Cole–Cole parameters obtained from spectral two-dimensional inversion results. The method is based on a description of the subsurface as a mixture of two components (matrix and ice) and uses a previously suggested relationship between frequency-dependent electrical permittivity and ice content. In this model, the ice relaxation is considered the dominant process in the frequency range around 10 kHz . Measurements on a permafrost site near Yakutsk, Russia, were carried out to test the entire procedure under real conditions at the field scale. We demonstrate that the spectral signal of ice can clearly be identified even in the raw data and show that the spectral 2-D inversion algorithm is suitable to obtain the multidimensional ... |
format |
Text |
author |
Mudler, Jan Hördt, Andreas Kreith, Dennis Sugand, Madhuri Bazhin, Kirill Lebedeva, Lyudmila Radić, Tino |
spellingShingle |
Mudler, Jan Hördt, Andreas Kreith, Dennis Sugand, Madhuri Bazhin, Kirill Lebedeva, Lyudmila Radić, Tino Broadband spectral induced polarization for the detection of Permafrost and an approach to ice content estimation – a case study from Yakutia, Russia |
author_facet |
Mudler, Jan Hördt, Andreas Kreith, Dennis Sugand, Madhuri Bazhin, Kirill Lebedeva, Lyudmila Radić, Tino |
author_sort |
Mudler, Jan |
title |
Broadband spectral induced polarization for the detection of Permafrost and an approach to ice content estimation – a case study from Yakutia, Russia |
title_short |
Broadband spectral induced polarization for the detection of Permafrost and an approach to ice content estimation – a case study from Yakutia, Russia |
title_full |
Broadband spectral induced polarization for the detection of Permafrost and an approach to ice content estimation – a case study from Yakutia, Russia |
title_fullStr |
Broadband spectral induced polarization for the detection of Permafrost and an approach to ice content estimation – a case study from Yakutia, Russia |
title_full_unstemmed |
Broadband spectral induced polarization for the detection of Permafrost and an approach to ice content estimation – a case study from Yakutia, Russia |
title_sort |
broadband spectral induced polarization for the detection of permafrost and an approach to ice content estimation – a case study from yakutia, russia |
publishDate |
2022 |
url |
https://doi.org/10.5194/tc-16-4727-2022 https://tc.copernicus.org/articles/16/4727/2022/ |
geographic |
Yakutsk |
geographic_facet |
Yakutsk |
genre |
Ice permafrost Yakutia Yakutsk |
genre_facet |
Ice permafrost Yakutia Yakutsk |
op_source |
eISSN: 1994-0424 |
op_relation |
doi:10.5194/tc-16-4727-2022 https://tc.copernicus.org/articles/16/4727/2022/ |
op_doi |
https://doi.org/10.5194/tc-16-4727-2022 |
container_title |
The Cryosphere |
container_volume |
16 |
container_issue |
11 |
container_start_page |
4727 |
op_container_end_page |
4744 |
_version_ |
1766027101817798656 |