Section

Geoecology

Title

THE ASSESSMENT OF THE DYNAMICS OF RECOVERY PROCESSES AND EFFICIENCY OF RECULTIVATION OF TECHNO-GEOSYSTEMS OF COPPER-PYRITE DEPOSITS OF THE SOUTH URALS

Сontributors

V. P. Petrishchev, Head of the Department of the Urban Cadastre, Orenburg State University, Head of the Laboratory of Geoecology and Landscape Planning, Institute of the Steppe of the Ural Branch of the Russian Academy of Sciences, This email address is being protected from spambots. You need JavaScript enabled to view it.;

R. V. Ryakhov, Researcher, Orenburg State University; Institute of the Steppe of the Ural Branch of the Russian Academy of Sciences, This email address is being protected from spambots. You need JavaScript enabled to view it.;

S.A. Dubrovskaya, Researcher, Orenburg State University; Institute of the Steppe of the Ural Branch of the Russian Academy of Sciences, This email address is being protected from spambots. You need JavaScript enabled to view it.;

S. Yu. Noreika, Researcher, Orenburg State University; Institute of the Steppe of the Ural Branch of the Russian Academy of Sciences, This email address is being protected from spambots. You need JavaScript enabled to view it.

Abstract

On the basis of multi-temporal and multi-spectral images, applying the algorithms of uncontrolled clustering and calculations of a vegetation index, the features of the dynamics of regenerative processes of profoundly transformed techno-geosystems (as a result of natural processes of overgrowing and reclamation of mining and technical geosystems) are revealed and the state of long-term trends and spread of vegetation within the study area are presented. To display a volume rendering relief surfaces and to evaluate the technological transformation of copper-pyrite deposits of the Southern Urals, three-dimensional models constructed with the application of ASTER GDEM (version 2), are used. According to 3D deposits landscape models (including the exposure and steepness of slopes, technomorphogenic indicators) the main aspects of the recovery processes in the ecosystems are represented. The techno-geosystems of deposit geosystems based on quantitative indicators (hypo-techno-morphogenesis, hyper-techno-morphogenesis, volume of the dumps, square pits and dumps) are classified.

Keywords

techno-geosystems, techno-geomorphogenesis, interpretation, restoration, recovery dynamics, remote sensing data.

References

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