Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2021, Vol. 18, No. 1, pp. 95-102
Changes in the anthropogenic load on ecosystems in the territorial subjects of the Russian Federation in the early 21st century
M.P. Vasiliev
1 , A.A. Tronin
1 1 Saint Petersburg Scientific Research Center for Ecological Safety RAS, Saint Petersburg, Russia
Accepted: 12.11.2020
DOI: 10.21046/2070-7401-2021-18-1-95-102
The study considers changes in the values of the complex index of anthropogenic pressure on ecosystems in the subjects of the Russian Federation in the period of 2009–2018. The set of indicators included in this index was determined using correlation analysis. There were the following indicators: electricity consumption, the amount of production and consumption waste, nitrogen dioxide content in the atmosphere, the share of anthropogenic territories in the total subject area. The values of these indicators were obtained from the results of remote sensing of the Earth and state statistics databases. As a result, the regions with the highest level of anthropogenic load on ecosystems were identified and the trends in this index in various subjects were estimated. The highest values of anthropogenic load in 2009 were recorded in Moscow, St. Petersburg and the Belgorod region. By 2018 the Kursk, Lipetsk, Tula, Voronezh, Oryol, Rostov, Orenburg, Chelyabinsk Regions were also included in the group of regions with very high values of this index. Significant anthropogenic load on ecosystems is also observed in a number of Western Siberia regions (Novosibirsk and Kemerovo Regions, Altai Kray, Republic of Khakassia). The use of remote sensing data both for identifying local anthropogenic pollution of the atmosphere by nitrogen dioxide and determining the proportion of anthropogenic territories has made it possible to obtain more objective estimates of the anthropogenic load on ecosystems in the territorial subjects of Russia.
Keywords: anthropogenic load on ecosystems, territorial subjects of the Russian Federation, correlation analysis, nitrogen dioxide, anthropogenic territories, remote sensing
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