Строение многолетнемерзлой толщи в районе стационара парисенто (гыданский полуостров) по геофизическим данным

Translated title of the contribution: The structure of permafrost within parisento station (Gydan Peninsula) from geophysical data

D. S. Pankova, V. V. Olenchenko, L. V. Tsibizov, Y. K. Kamnev, A. N. Shein, A. I. Sinitskiy

Research output: Contribution to journalArticlepeer-review


In this article the results of geoelectric survey investigations of permafrost in the area of Parisento station (Gydan Peninsula) are presented. According to electromagnetic sounding data, the permafrost thickness is 210-300 m. Application of electrical resistivity tomography (ERT) has revealed, that massive ice stratum is characterized by extremely high electrical resistivity, exceeding million Omm. It confines method's sensitivity below depths of 50-75 m. Assignment of deep-seated conductive beds, which has been determined by ERT sounding, has insignificant effect on error of ERT inversion. However, input of deep layers with fixed electrical resistivity lead to improvement of model for geological interpretation. It has been determined, that massive ice between lakes Krugloe and Parisento does not have continuous distribution as it had been appeared by the borehole data before. A linear area of low electrical resistivity has been identified. It is probably due to paleo channel connecting the lakes in the past. Computational modeling of heat transfer has ascertained that the depth of open talik under lake Krugloe is 140 m and that the through talik is located under lake Parisento. The influence of 3-D conducting inhomogeneities, which is represented by taliks and lakes, on electrical resistivity distribution in 2-D and 3-D geoelectrical models has been considered.

Translated title of the contributionThe structure of permafrost within parisento station (Gydan Peninsula) from geophysical data
Original languageRussian
Pages (from-to)52-67
Number of pages16
JournalEarth's Cryosphere
Issue number2
Publication statusPublished - Apr 2020

State classification of scientific and technological information

  • 38 GEOLOGY


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