Automated Time‐lapse ERT for Improved Process Analysis and Monitoring of Frozen Ground

ABSTRACT A new automated electrical resistivity tomography (A‐ERT) system is described that allows continuous measurements of the electrical resistivity distribution in high‐mountain or polar terrain. The advantages of continuous resistivity monitoring, as opposed to single measurements at irregular...

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Published in:Permafrost and Periglacial Processes
Main Authors: Hilbich, C., Fuss, C., Hauck, C.
Other Authors: PERMOS network, Deutsche Forschungsgemeinschaft
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2011
Subjects:
Online Access:http://dx.doi.org/10.1002/ppp.732
https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fppp.732
https://onlinelibrary.wiley.com/doi/pdf/10.1002/ppp.732
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spelling crwiley:10.1002/ppp.732 2024-09-15T18:29:58+00:00 Automated Time‐lapse ERT for Improved Process Analysis and Monitoring of Frozen Ground Hilbich, C. Fuss, C. Hauck, C. PERMOS network Deutsche Forschungsgemeinschaft 2011 http://dx.doi.org/10.1002/ppp.732 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fppp.732 https://onlinelibrary.wiley.com/doi/pdf/10.1002/ppp.732 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor Permafrost and Periglacial Processes volume 22, issue 4, page 306-319 ISSN 1045-6740 1099-1530 journal-article 2011 crwiley https://doi.org/10.1002/ppp.732 2024-08-09T04:31:41Z ABSTRACT A new automated electrical resistivity tomography (A‐ERT) system is described that allows continuous measurements of the electrical resistivity distribution in high‐mountain or polar terrain. The advantages of continuous resistivity monitoring, as opposed to single measurements at irregular time intervals, are illustrated using the permafrost monitoring station at the Schilthorn, Swiss Alps. Data processing was adjusted to permit automated time‐effective handling and quality assessment of the large number of 2D electrical resistivity profiles generated. Results from a one‐year dataset show small temporal changes during periods with snow cover, and the largest changes during snowmelt in early summer and during freezing in autumn, which are in phase with changes in either near‐surface soil moisture or subsurface temperature. During the snowmelt period, spatially variable infiltration processes were observed, leading to a rapid increase in soil moisture and corresponding decrease in electrical resistivity over a period of a few days. This infiltration led to the onset of active‐layer thawing long before the seasonal snow cover vanished. Statistical analyses showed that both spatial and temporal variability over the course of one year are similar, indicating the significance of spatial heterogeneity regarding active‐layer dynamics. As a result of its cost‐effective ability to monitor freezing and thawing processes even at greater depths, the new A‐ERT system can be widely applied in permafrost regions, especially in the context of long‐term degradation processes. Copyright © 2011 John Wiley & Sons, Ltd. Article in Journal/Newspaper permafrost Permafrost and Periglacial Processes Wiley Online Library Permafrost and Periglacial Processes 22 4 306 319
institution Open Polar
collection Wiley Online Library
op_collection_id crwiley
language English
description ABSTRACT A new automated electrical resistivity tomography (A‐ERT) system is described that allows continuous measurements of the electrical resistivity distribution in high‐mountain or polar terrain. The advantages of continuous resistivity monitoring, as opposed to single measurements at irregular time intervals, are illustrated using the permafrost monitoring station at the Schilthorn, Swiss Alps. Data processing was adjusted to permit automated time‐effective handling and quality assessment of the large number of 2D electrical resistivity profiles generated. Results from a one‐year dataset show small temporal changes during periods with snow cover, and the largest changes during snowmelt in early summer and during freezing in autumn, which are in phase with changes in either near‐surface soil moisture or subsurface temperature. During the snowmelt period, spatially variable infiltration processes were observed, leading to a rapid increase in soil moisture and corresponding decrease in electrical resistivity over a period of a few days. This infiltration led to the onset of active‐layer thawing long before the seasonal snow cover vanished. Statistical analyses showed that both spatial and temporal variability over the course of one year are similar, indicating the significance of spatial heterogeneity regarding active‐layer dynamics. As a result of its cost‐effective ability to monitor freezing and thawing processes even at greater depths, the new A‐ERT system can be widely applied in permafrost regions, especially in the context of long‐term degradation processes. Copyright © 2011 John Wiley & Sons, Ltd.
author2 PERMOS network
Deutsche Forschungsgemeinschaft
format Article in Journal/Newspaper
author Hilbich, C.
Fuss, C.
Hauck, C.
spellingShingle Hilbich, C.
Fuss, C.
Hauck, C.
Automated Time‐lapse ERT for Improved Process Analysis and Monitoring of Frozen Ground
author_facet Hilbich, C.
Fuss, C.
Hauck, C.
author_sort Hilbich, C.
title Automated Time‐lapse ERT for Improved Process Analysis and Monitoring of Frozen Ground
title_short Automated Time‐lapse ERT for Improved Process Analysis and Monitoring of Frozen Ground
title_full Automated Time‐lapse ERT for Improved Process Analysis and Monitoring of Frozen Ground
title_fullStr Automated Time‐lapse ERT for Improved Process Analysis and Monitoring of Frozen Ground
title_full_unstemmed Automated Time‐lapse ERT for Improved Process Analysis and Monitoring of Frozen Ground
title_sort automated time‐lapse ert for improved process analysis and monitoring of frozen ground
publisher Wiley
publishDate 2011
url http://dx.doi.org/10.1002/ppp.732
https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fppp.732
https://onlinelibrary.wiley.com/doi/pdf/10.1002/ppp.732
genre permafrost
Permafrost and Periglacial Processes
genre_facet permafrost
Permafrost and Periglacial Processes
op_source Permafrost and Periglacial Processes
volume 22, issue 4, page 306-319
ISSN 1045-6740 1099-1530
op_rights http://onlinelibrary.wiley.com/termsAndConditions#vor
op_doi https://doi.org/10.1002/ppp.732
container_title Permafrost and Periglacial Processes
container_volume 22
container_issue 4
container_start_page 306
op_container_end_page 319
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