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ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2024, Vol. 21, No. 2, pp. 271-285

Applying remote sensing data to assess water quality in a mining area

A.D. Demenev 1 , O.A. Berezina 1 , N.G. Maksimovich 1 , A.A. Mizev 1 
1 Perm State University, Perm, Russia
Accepted: 26.03.2024
DOI: 10.21046/2070-7401-2024-21-2-271-285
Mining has a considerable technogenic impact on water quality, therefore it is important to monitor changes of hydrochemical parameters of water and to predict them. In industrial areas, it is advisable to carry out objective environmental assessment on the basis of traditional methods of environmental control and Earth remote sensing data. Remote sensing data provide the possibility to observe vast territories, including hard-to-reach sites. As part of research, an assessment of water quality of rivers impacted by AMD (Acid Mine Drainage) was done on the basis of field observations and Earth remote sensing data. To detect river pollution by acidic mine water, the spectral Acid Mine Water Index (AMWI) and the Total Suspended Matter (TSM) indicator were calculated. Remote sensing data were compared with field research results. It has been revealed that the influx of acidic mine drainage introduces into rivers substances that spread over long distances downstream. Some of these substances are deposited in bottom sediments, accumulate and form a secondary source of pollution. The other part migrates with the water flow in suspended form to the river mouths. It has been found that AMWI and TSM could be used simultaneously to monitor the overall distribution of suspended solids that are pollutant transport agents for large water objects such as water reservoirs. The concept of using data from several sources (especially including network of measuring devices) makes it possible to assess the ecological state of water objects at a new spatial and temporal resolution levels.
Keywords: environmental monitoring, Sentinel-2, Kizel coal basin, TSM, AMWI
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