Comprehensive analysis of surface water quality based on remote sensing data, automated sensors, and field studies in the post-mining area
A.D. Demenev, N.G. Maksimovich, O.A. Berezina, A.A. Mizev, V.T. Khmurchik
Section: Monitoring of natural and anthropogenically disturbed areas
The article focused on the issues of a comprehensive analysis of the surface waters ecological status using the developed multicomponent monitoring system. The main goal of the study was to obtain objective information on the waters’ status based on a comprehensive analysis of data obtained continuously from hydrochemical sensors, in-kind measurements and remote sensing data. Traditional monitoring methods, such as sampling and laboratory analysis, although they provide high accuracy, are labor-intensive and do not always provide an objective status of water bodies. During the analysis of available data and our own research, a system was developed for observations with the selection of the most optimal installation sites for hydrochemical sensors in areas of intense anthropogenic impact as a result of subsoil use. These areas are also highlighted as the most indicative areas for comparison of satellite observations, traditional monitoring results and data obtained from sensors in automated mode. Automated devices operated in 2024 summer-autumn period on two rivers in the immediate vicinity of pollution sources, and verification observations were also carried out. Field studies provided a detailed idea of the chemical element and their compounds’ concentrations in water bodies. During the operation of automated devices, significant short-term changes in total mineralization and temperature in the Kosva River were revealed. This can be critically important in assessing the environmental situation in the study area. Processing of the remote sensing data and calculation of the AMWI (Acid Mine Water Index) index allowed identifying sources of pollutants, zones of their transfer and accumulation. Continuous monitoring of water bodies in such a mode provides a flow of reliable data, which minimizes the risks of obtaining biased information as well as allows timely recording of possible changes in hydrochemical parameters caused by anthropogenic and natural factors.
ISSN 1995-4301
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