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GIS-Oriented Database for the System Analysis and Prediction of the Geodynamic Stability of the Nizhne-Kansky Massif

  • METHODS AND PROCESSING TOOLS AND INTERPRETATION OF SPACE INFORMATION
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Abstract

In 2019, the construction of an underground research laboratory for justifying the geoecological safety of the disposal of highly active radioactive waste within the granite-gneiss rocks of the Nizhne-Kansky massif (Krasnoyarsk krai) began. To estimate and predict the geodynamic stability of tectonic crustal blocks, a specialized database on the basis of ESRI ArcGIS software has been created and is under development. Starting from it, the geospatial data of multidisciplinary research, including the original results of GNSS observations and data of Earth’s remote sensing (ERS), were systematized. At present, the GIS-oriented database contains 12 thematic layers of data, as well as intellectual algorithmic modules for analysis, which are written in Python. The use of original algorithms of system analysis allows ERS data interpretation and geodynamic danger estimation for different parameters. A kinematic model of the modern movements and stress-strain state of structural blocks of the Nizhne-Kansky massif is developed from results of GPS/GLONASS observations over velocities of the present-day crustal motion. The joint interpretation of the scheme of tectonic faults and the SRTM-4 digital elevation model, constructed by ERS data, is performed for the geodynamic zoning of the territory of the Nizhne-Kansky massif.

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ACKNOWLEDGMENTS

Equipment and materials were provided by the Analytical Center for Geomagnetic Data (Center for Collective Use) of the Geophysical Center of the Russian Academy of Sciences (http://ckp.gcras.ru/).

Funding

This work was supported by the Russian Science Foundation, project no. 18-17-00241.

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Authors and Affiliations

  1. Geophysical Center, Russian Academy of Sciences, 119296, Moscow, Russia

    A. D. Gvishiani, V. N. Tatarinov, V. I. Kaftan, I. V. Losev & A. I. Manevich

  2. Schmidt Institute of Physics of the Earth, Russian Academy of Sciences, 123995, Moscow, Russia

    A. D. Gvishiani & V. N. Tatarinov

  3. Mining Institute NUST MISiS, 119049, Moscow, Russia

    I. V. Losev & A. I. Manevich

Authors
  1. A. D. Gvishiani
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  2. V. N. Tatarinov
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  3. V. I. Kaftan
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  4. I. V. Losev
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  5. A. I. Manevich
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Correspondence to I. V. Losev.

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Translated by M. Samokhina

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Gvishiani, A.D., Tatarinov, V.N., Kaftan, V.I. et al. GIS-Oriented Database for the System Analysis and Prediction of the Geodynamic Stability of the Nizhne-Kansky Massif. Izv. Atmos. Ocean. Phys. 57, 1151–1161 (2021). https://doi.org/10.1134/S0001433821090486

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  • DOI: https://doi.org/10.1134/S0001433821090486

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