Seismic physics-based characterization of permafrost sites using surface waves
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Published:2022-04-04
Issue:4
Volume:16
Page:1157-1180
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ISSN:1994-0424
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Container-title:The Cryosphere
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language:en
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Short-container-title:The Cryosphere
Author:
Liu Hongwei,Maghoul Pooneh,Shalaby Ahmed
Abstract
Abstract. The adverse effects of climate warming on the built environment in (sub-)arctic regions are unprecedented and accelerating. The planning and design of climate-resilient northern infrastructure, as well as predicting deterioration of permafrost from climate model simulations, require characterizing permafrost sites accurately and efficiently. Here, we propose a novel algorithm for the analysis of surface waves to quantitatively estimate the physical and mechanical properties of a permafrost site. We show the existence of two types of Rayleigh waves (R1 and R2; R1 travels faster than R2). The R2 wave velocity is highly sensitive to the physical properties (e.g., unfrozen water content, ice content, and porosity) of active and frozen permafrost layers, while it is less sensitive to their mechanical properties (e.g., shear modulus and bulk modulus). The R1 wave velocity, on the other hand, depends strongly on the soil type and mechanical properties of permafrost or soil layers. In situ surface wave measurements revealed the experimental dispersion relations of both types of Rayleigh waves from which relevant properties of a permafrost site can be derived by means of our proposed hybrid inverse and multiphase poromechanical approach. Our study demonstrates the potential of surface wave techniques coupled with our proposed data-processing algorithm to characterize a permafrost site more accurately. Our proposed technique can be used in early detection and warning systems to monitor infrastructure impacted by permafrost-related geohazards and to detect the presence of layers vulnerable to permafrost carbon feedback and emission of greenhouse gases into the atmosphere.
Funder
Natural Sciences and Engineering Research Council of Canada Mitacs
Publisher
Copernicus GmbH
Subject
Earth-Surface Processes,Water Science and Technology
Reference51 articles.
1. 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 2. 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 3. 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 4. 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 5. 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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