Preprints
https://doi.org/10.5194/egusphere-2024-1353
https://doi.org/10.5194/egusphere-2024-1353
10 Jun 2024
 | 10 Jun 2024
Status: this preprint is open for discussion.

Ground ice estimation in permafrost samples using industrial Computed Tomography

Mahya Roustaei, Joel Pumple, Jordan Harvey, and Duane Froese

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.

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Mahya Roustaei, Joel Pumple, Jordan Harvey, and Duane Froese

Status: open (until 22 Jul 2024)

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Mahya Roustaei, Joel Pumple, Jordan Harvey, and Duane Froese
Mahya Roustaei, Joel Pumple, Jordan Harvey, and Duane Froese

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Short summary
This study investigated the application of CT scanning to tackle the limitations of traditional destructive methods in characterization of permafrost cores. Five different permafrost cores were scanned at resolutions of 65 and 25 μm with new calibration method. The identification of different materials from CT images showed air(gas), ice(excess and pore), and sediments using an Otsu segmentation method. The results were validated by a destructive method(cuboid) and also a non-destructive method.