The use of capacitive resistivity imaging (CRI) for monitoring laboratory experiments simulating permafrost growth, persistence and thaw in bedrock
Understanding the impact on bedrock properties of permafrost degradation as a result of climate change (Figure 1) is of major interest in a number of areas, including the assessment of rising instability of high-altitude mountain rock walls. The remote sensing of rock walls with the primary aim of m...
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ftnerc:oai:nora.nerc.ac.uk:502150 2023-05-15T17:56:50+02:00 The use of capacitive resistivity imaging (CRI) for monitoring laboratory experiments simulating permafrost growth, persistence and thaw in bedrock Kuras, Oliver Uhlemann, Sebastian Krautblatter, Michael Murton, Julian Haslam, Ed Wilkinson, Paul Meldrum, Philip 2012 text http://nora.nerc.ac.uk/id/eprint/502150/ https://nora.nerc.ac.uk/id/eprint/502150/1/Permafrost-CRI_Poster_AGU2012%20v2.pdf en eng https://nora.nerc.ac.uk/id/eprint/502150/1/Permafrost-CRI_Poster_AGU2012%20v2.pdf Kuras, Oliver; Uhlemann, Sebastian; Krautblatter, Michael; Murton, Julian; Haslam, Ed; Wilkinson, Paul; Meldrum, Philip. 2012 The use of capacitive resistivity imaging (CRI) for monitoring laboratory experiments simulating permafrost growth, persistence and thaw in bedrock. [Poster] In: AGU Fall Meeting 2012, San Francisco, USA, 3-7 Dec 2012. (Unpublished) Earth Sciences Publication - Conference Item NonPeerReviewed 2012 ftnerc 2023-02-04T19:37:08Z Understanding the impact on bedrock properties of permafrost degradation as a result of climate change (Figure 1) is of major interest in a number of areas, including the assessment of rising instability of high-altitude mountain rock walls. The remote sensing of rock walls with the primary aim of monitoring the spatial and temporal behaviour of rock temperature (and thus permafrost distribution) is an emerging field of research for geohazard mitigation where geophysical tomography has the potential to make a significant and lasting contribution. Recent work has shown that temperature-calibrated Electrical Resistivity Tomography (ERT) using galvanic sensors is capable of imaging recession and re-advance of rock permafrost in response to the ambient temperature regime, yet the use of galvanic sensors can impose practical limitations on field measurements (Figure 2). In this study, we evaluate the use of Capacitive Resistivity Imaging (CRI), a technique based upon low-frequency, capacitively-coupled measurements across permanently installed multi-sensor arrays (Kuras et al., 2006), in order to emulate well- established ERT methodology, but without the need for galvanic contact on frozen soils or rocks. The latter is associated with high levels of and large variations in contact resistances between sensors and the host material as it freezes and thaws (Figure 3). Text permafrost Natural Environment Research Council: NERC Open Research Archive |
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Natural Environment Research Council: NERC Open Research Archive |
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English |
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Earth Sciences |
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Earth Sciences Kuras, Oliver Uhlemann, Sebastian Krautblatter, Michael Murton, Julian Haslam, Ed Wilkinson, Paul Meldrum, Philip The use of capacitive resistivity imaging (CRI) for monitoring laboratory experiments simulating permafrost growth, persistence and thaw in bedrock |
topic_facet |
Earth Sciences |
description |
Understanding the impact on bedrock properties of permafrost degradation as a result of climate change (Figure 1) is of major interest in a number of areas, including the assessment of rising instability of high-altitude mountain rock walls. The remote sensing of rock walls with the primary aim of monitoring the spatial and temporal behaviour of rock temperature (and thus permafrost distribution) is an emerging field of research for geohazard mitigation where geophysical tomography has the potential to make a significant and lasting contribution. Recent work has shown that temperature-calibrated Electrical Resistivity Tomography (ERT) using galvanic sensors is capable of imaging recession and re-advance of rock permafrost in response to the ambient temperature regime, yet the use of galvanic sensors can impose practical limitations on field measurements (Figure 2). In this study, we evaluate the use of Capacitive Resistivity Imaging (CRI), a technique based upon low-frequency, capacitively-coupled measurements across permanently installed multi-sensor arrays (Kuras et al., 2006), in order to emulate well- established ERT methodology, but without the need for galvanic contact on frozen soils or rocks. The latter is associated with high levels of and large variations in contact resistances between sensors and the host material as it freezes and thaws (Figure 3). |
format |
Text |
author |
Kuras, Oliver Uhlemann, Sebastian Krautblatter, Michael Murton, Julian Haslam, Ed Wilkinson, Paul Meldrum, Philip |
author_facet |
Kuras, Oliver Uhlemann, Sebastian Krautblatter, Michael Murton, Julian Haslam, Ed Wilkinson, Paul Meldrum, Philip |
author_sort |
Kuras, Oliver |
title |
The use of capacitive resistivity imaging (CRI) for monitoring laboratory experiments simulating permafrost growth, persistence and thaw in bedrock |
title_short |
The use of capacitive resistivity imaging (CRI) for monitoring laboratory experiments simulating permafrost growth, persistence and thaw in bedrock |
title_full |
The use of capacitive resistivity imaging (CRI) for monitoring laboratory experiments simulating permafrost growth, persistence and thaw in bedrock |
title_fullStr |
The use of capacitive resistivity imaging (CRI) for monitoring laboratory experiments simulating permafrost growth, persistence and thaw in bedrock |
title_full_unstemmed |
The use of capacitive resistivity imaging (CRI) for monitoring laboratory experiments simulating permafrost growth, persistence and thaw in bedrock |
title_sort |
use of capacitive resistivity imaging (cri) for monitoring laboratory experiments simulating permafrost growth, persistence and thaw in bedrock |
publishDate |
2012 |
url |
http://nora.nerc.ac.uk/id/eprint/502150/ https://nora.nerc.ac.uk/id/eprint/502150/1/Permafrost-CRI_Poster_AGU2012%20v2.pdf |
genre |
permafrost |
genre_facet |
permafrost |
op_relation |
https://nora.nerc.ac.uk/id/eprint/502150/1/Permafrost-CRI_Poster_AGU2012%20v2.pdf Kuras, Oliver; Uhlemann, Sebastian; Krautblatter, Michael; Murton, Julian; Haslam, Ed; Wilkinson, Paul; Meldrum, Philip. 2012 The use of capacitive resistivity imaging (CRI) for monitoring laboratory experiments simulating permafrost growth, persistence and thaw in bedrock. [Poster] In: AGU Fall Meeting 2012, San Francisco, USA, 3-7 Dec 2012. (Unpublished) |
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