Articles | Volume 16, issue 4
https://doi.org/10.5194/tc-16-1157-2022
https://doi.org/10.5194/tc-16-1157-2022
Research article
 | 
04 Apr 2022
Research article |  | 04 Apr 2022

Seismic physics-based characterization of permafrost sites using surface waves

Hongwei Liu, Pooneh Maghoul, and Ahmed Shalaby

Related subject area

Discipline: Frozen ground | Subject: Frozen Ground
Significant underestimation of peatland permafrost along the Labrador Sea coastline in northern Canada
Yifeng Wang, Robert G. Way, Jordan Beer, Anika Forget, Rosamond Tutton, and Meredith C. Purcell
The Cryosphere, 17, 63–78, https://doi.org/10.5194/tc-17-63-2023,https://doi.org/10.5194/tc-17-63-2023, 2023
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Estimation of stream water components and residence time in a permafrost catchment in the central Tibetan Plateau using long-term water stable isotopic data
Shaoyong Wang, Xiaobo He, Shichang Kang, Hui Fu, and Xiaofeng Hong
The Cryosphere, 16, 5023–5040, https://doi.org/10.5194/tc-16-5023-2022,https://doi.org/10.5194/tc-16-5023-2022, 2022
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The temperature-dependent shear strength of ice-filled joints in rock mass considering the effect of joint roughness, opening and shear rates
Shibing Huang, Haowei Cai, Zekun Xin, and Gang Liu
The Cryosphere Discuss., https://doi.org/10.5194/tc-2022-155,https://doi.org/10.5194/tc-2022-155, 2022
Revised manuscript accepted for TC
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Brief communication: Improving ERA5-Land soil temperature in permafrost regions using an optimized multi-layer snow scheme
Bin Cao, Gabriele Arduini, and Ervin Zsoter
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Towards accurate quantification of ice content in permafrost of the Central Andes – Part 2: An upscaling strategy of geophysical measurements to the catchment scale at two study sites
Tamara Mathys, Christin Hilbich, Lukas U. Arenson, Pablo A. Wainstein, and Christian Hauck
The Cryosphere, 16, 2595–2615, https://doi.org/10.5194/tc-16-2595-2022,https://doi.org/10.5194/tc-16-2595-2022, 2022
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Cited articles

Albaric, J., Kühn, D., Ohrnberger, M., Langet, N., Harris, D., Polom, U., Lecomte, I., and Hillers, G.: Seismic monitoring of permafrost in Svalbard, Arctic Norway, Seismol. Res. Lett., 92, 2891–2904, 2021. a
Bhuiyan, M. A. E., Witharana, C., and Liljedahl, A. K.: Use of very high spatial resolution commercial satellite imagery and deep learning to automatically map ice-wedge polygons across tundra vegetation types, J. Imaging., 6, 137, https://doi.org/10.3390/jimaging6120137, 2020. a
Brothers, L. L., Herman, B. M., Hart, P. E., and Ruppel, C. D.: Subsea ice-bearing permafrost on the US Beaufort Margin: 1. Minimum seaward extent defined from multichannel seismic reflection data, Geochem. Geophy. Geosy., 17, 4354–4365, 2016. a
Buteau, S., Fortier, R., and Allard, M.: Permafrost weakening as a potential impact of climatic warming, J. Cold. Reg. Eng., 24, 1–18, 2010. a
Carcione, J. M. and Seriani, G.: Wave simulation in frozen porous media, J. Comput. Phys., 170, 676–695, 2001. a, b, c, d
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Short summary
The knowledge of physical and mechanical properties of permafrost and its location is critical for the management of permafrost-related geohazards. Here, we developed a hybrid inverse and multiphase poromechanical approach to quantitatively estimate the physical and mechanical properties of a permafrost site. Our study demonstrates the potential of surface wave techniques coupled with our proposed data-processing algorithm to characterize a permafrost site more accurately.