Imaging Arctic Permafrost: Modeling for Choice of Geophysical Methods

Buddo, I.V.; Misyurkeeva, N.V.; Шелохов, И.А.; Chuvilin, Evgeny; Chernikh, Alexey; Smirnov, Alexander

doi:10.3390/geosciences12100389

Cited by 7 publications

(4 citation statements)

References 32 publications

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“…Walker [44] extensively covers practical ground-based TDEM data collected in Alaska with a loop system. From apparent resistivity responses measured mainly within 10 −4 to 10 −2 s time intervals, by making use of a 1D inversion code, resistivity models have been obtained, showing a resistive permafrost layer with a thickness ranging up to 600 m. A synthetic study [45] also simulating an onshore permafrost setting, found the ability of TDEM response to image lateral inhomogeneities both in permafrost geometry and resistivity of the conductive sediments beneath IBP.…”

Section: Discussionmentioning

confidence: 99%

Time-Domain Electromagnetics for Subsea Permafrost Mapping in the Arctic: The Synthetic Response Analyses and Uncertainty Estimates from Numerical Modelling Data

et al. 2023

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Subsea permafrost stability is the key to whether pre-performed methane sequestered in hydrate deposits escapes to the overlying strata. By making use of the 1D numerical modeling and field data, we analyze the capabilities of the time-domain (transient) electromagnetic method (TDEM) when being applied for subsea permafrost mapping, and study the effect of the background resistivity structure on the inversion models’ accuracy for a series of settings typical for the East Siberian Arctic Shelf—the broadest and shallowest shelf in the world ocean, which represents more than 70% of the subsea permafrost. The synthetic response analysis included the construction of a series of resistivity models corresponding to different settings (presence/absence of ice-bonded permafrost layer, different position of its top and bottom boundaries, different width and thickness of thawed bodies or taliks, variable seawater depth and its resistivity), and calculation of synthetic apparent resistivity responses used to assess their sensitivity to changes in the target parameters of the resistivity structure. This was followed by regularized inversion of synthetic responses and comparing resulting models with original (true) ones, which allowed us to understand the possible uncertainties in the geometry and resistivity of the reconstructed permafrost layer, depending on seawater depth and unfrozen layer thickness, as well as confirm the overall efficacy of TDEM technology for the subsea permafrost imaging. That is crucially important for understanding the current state of the subsea permafrost-hydrate system and possible future dynamics.

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Section: Discussionmentioning

confidence: 99%

Time-Domain Electromagnetics for Subsea Permafrost Mapping in the Arctic: The Synthetic Response Analyses and Uncertainty Estimates from Numerical Modelling Data

et al. 2023

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“…Although ERT has been used to map the extent of permafrost bodies (Buddo et al., 2022; McClymont et al., 2013), it is also known that these estimates have a high uncertainty (Arboleda‐Zapata et al., 2022). We assess the uncertainty of the unsupervised and supervised classification methods through forward modeling of a range of model scenarios.…”

Section: Methodsmentioning

confidence: 99%

Estimating Permafrost Distribution Using Co‐Located Temperature and Electrical Resistivity Measurements

Uhlemann,

Shirley,

Wielandt

et al. 2023

Geophysical Research Letters

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Assessing the lateral and vertical extent of permafrost is critical to understanding the fate of Arctic ecosystems under climate change. Yet, direct measurements of permafrost distribution and temperature are often limited to a small number of borehole locations. Here, we assess the use of co‐located shallow temperature and electrical resistivity tomography (ERT) measurements to estimate at high‐resolution the distribution of permafrost in three watersheds underlain by discontinuous permafrost. Synthetic modeling shows that co‐located temperature and ERT measurements allow for supervised classification schemes that provide 60% higher accuracy compared to unsupervised methods. Linking resistivity and size of the identified permafrost bodies to surface observations, we show that tall vegetation (>0.5 m) and gentle slopes (<15°) are related to warmer and smaller permafrost bodies, and a more frequent occurrence of taliks.

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“…Three contributions [11][12][13] report geophysical evidence of the permafrost structure and gas hydrate deposits. Geophysical surveys can image permafrost to its base, with vertical permeable zones, taliks, gas pockets, and accumulations of gas hydrates.…”

mentioning

confidence: 99%

“…Geophysical surveys can image permafrost to its base, with vertical permeable zones, taliks, gas pockets, and accumulations of gas hydrates. The authors of [11] sketch the history of the permafrost in northern West Siberia and suggest its geological model to a depth of 500 m as a possible basis for further modeling. The geophysical surveys applicable to resolve permafrost features include synthetic seismograms, electric resistivity tomography (ERT), and transient electromagnetic (TEM) soundings.…”

mentioning

confidence: 99%