Articles | Volume 18, issue 1
https://doi.org/10.5194/tc-18-489-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-18-489-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
02 Feb 2024
Research article |
| 02 Feb 2024
| 02 Feb 2024
Non-destructive multi-sensor core logging allows for rapid imaging and estimation of frozen bulk density and volumetric ice content in permafrost cores
Joel Pumple
CORRESPONDING AUTHOR
Department of Earth and Atmospheric Sciences, University of Alberta, Edmonton, AB, Canada
Alistair Monteath
Department of Earth and Atmospheric Sciences, University of Alberta, Edmonton, AB, Canada
Jordan Harvey
Department of Earth and Atmospheric Sciences, University of Alberta, Edmonton, AB, Canada
Mahya Roustaei
Department of Earth and Atmospheric Sciences, University of Alberta, Edmonton, AB, Canada
Department of Civil Engineering, Geotechnics Laboratory, Ghent University, Technologiepark 68, 9052 Zwijnaarde, Ghent, Belgium
Alejandro Alvarez
Department of Earth and Atmospheric Sciences, University of Alberta, Edmonton, AB, Canada
Casey Buchanan
Department of Earth and Atmospheric Sciences, University of Alberta, Edmonton, AB, Canada
YukonU Research Centre, Yukon University, Whitehorse, YT, Canada
Duane Froese
CORRESPONDING AUTHOR
Department of Earth and Atmospheric Sciences, University of Alberta, Edmonton, AB, Canada
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Short summary
Ice content is a critical variable in the context of thawing permafrost, and permafrost cores provide a means to measure the characteristics of frozen ground; however, these measurements are typically destructive and time intensive. Multi-sensor core logging (MSCL) provides a fast, non-destructive method to image permafrost cores, measure bulk density, and estimate ice content. The use of MSCL will improve existing digital permafrost archives by adding high-quality and reproducible data.
Ice content is a critical variable in the context of thawing permafrost, and permafrost cores...
