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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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 |
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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 |
_version_ |
1810471453022224384 |