Ground ice estimation in permafrost samples using industrial Computed Tomography
<jats:p>Abstract. The distribution and abundance of ground ice in permafrost is a fundamental property that determines the potential for thaw subsidence and terrain effects of permafrost landscapes. However, most methods to characterize permafrost are destructive and of low resolution. Here, s...
| Main Authors: | , , , |
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| Format: | Other/Unknown Material |
| Language: | unknown |
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Copernicus GmbH
2024
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| Subjects: | |
| Online Access: | https://biblio.ugent.be/publication/01J08SR0VW8PNKK29PXHT6V566 http://hdl.handle.net/1854/LU-01J08SR0VW8PNKK29PXHT6V566 https://doi.org/10.5194/egusphere-2024-1353 https://biblio.ugent.be/publication/01J08SR0VW8PNKK29PXHT6V566/file/01J08SSNTJSJG4853GJYA7KFAR |
| Summary: | <jats:p>Abstract. The distribution and abundance of ground ice in permafrost is a fundamental property that determines the potential for thaw subsidence and terrain effects of permafrost landscapes. However, most methods to characterize permafrost are destructive and of low resolution. Here, some of the limitations of traditional destructive methods are overcome using industrial computed tomography (CT) scanning to systematically log permafrost cores, visualize cryostructures, measure frozen bulk density, and estimate volumetric and excess ice contents non-destructively. The results show strong agreement with destructive analyses as well as recent developments using a multi-sensor core logger (MSCL), demonstrating that these approaches can produce consistent results, and provide the added benefit of enhanced digital archives of permafrost physical properties. Development of standardized and interoperable methods for permafrost characterization will build more robust permafrost datasets and strengthen efforts to understand future thaw trajectories of permafrost landscapes. </jats:p> |
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