Studying post-mining development of natural–technical systems in influence zones of mines in the Khabarovsk Krai

The article describes the studies aimed to assess revegetation in influence zone of mines in the Khabarovsk Krai using remote sensing data and mathematical analysis of time series of test indicators involved in biota state and recovery rate forecasting. The subject of research are the natural–technical systems formed during open pit and underground mineral mining and processing. For the purpose of the research, the natural environmental indicators (air temperature, rainfall amount, soil humidity and soil temperature on different soil layers) are determined, and the normalized difference vegetation index is calculated. The test areas are classified into clusters using the k-means clustering method, and the sites with the similar parameters are identified as a result. The common dynamics of the test indicators is revealed in each cluster. The conjugate analysis of the available data determined different vegetation status zones. The integrated evaluation of natural systems requires incorporating data on concentration of pollutants in air, water, soil and in vegetation. Solving the listed problems is important now as this helps develop science-based regional environmental measures aimed at disturbed land restoration using natural regeneration potential of biota.

Ozaryan Yu. A., Kozhevnikova T. V. Studying post-mining development of natural–technical systems in influence zones of mines in the Khabarovsk Krai. MIAB. Mining Inf. Anal. Bull. 2024;(12):50-61. [In Russ]. DOI: 10.25018/0236_1493_2024_12_0_50.

Yu.A. Ozaryan, Cand. Sci. (Eng.), Leading Researcher, Institute of Mining of the Far Eastern Branch of the Russian Academy of Sciences, 680000, Khabarovsk, Russia, e-mail: ozaryanigd@gmail.com, ORCID ID: 0000-0002-8892-4595,
T.V. Kozhevnikova, Researcher, Computer Center of the Far Eastern Branch of the Russian Academy of Sciences, 680000, Khabarovsk, Russia, e-mail: ktvsl@mail.ru, ORCID ID: 0000-0002-2660-3104.

Yu.A. Ozaryan, e-mail: ozaryanigd@gmail.com.

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