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  • ГЕОХИМИЧЕСКИЙ МОНИТОРИНГ ЛЕСОСТЕПНЫХ ЛАНДШАФТОВ КУРСКОЙ БИОСФЕРНОЙ СТАНЦИИ
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News
May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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ГЕОХИМИЧЕСКИЙ МОНИТОРИНГ ЛЕСОСТЕПНЫХ ЛАНДШАФТОВ КУРСКОЙ БИОСФЕРНОЙ СТАНЦИИ

Проблемы региональной экологии. 2020. № 4. С. 37–42.
Кайданова О. В., Суслова С. Б., Кудерина Т. М., Zamotaev I., Кудиков А. В.

To assess the ecological and geochemical state of the anthropogenic landscapes of the Kursk region, the natural landscapes of the Kursk Biosphere Station (KBS) have been used as background for many years. However, in the absence of river and groundwater runoff, the KBS plain landscapes receive pollutants with air migration, in which transboundary transport and the influence of local pollution sources play the main role. In this regard, over the past 5 years, geochemical monitoring of the snow and soil cover has been carried out on the KBS territory to assess the content of chemical elements in it, and thereby confirm the status of the KBS natural landscapes as background. Geochemical studies of 2013-2019 showed that during this period, as a result of emissions from enterprises of the southern industrial region of Kursk, an increase in Pb concentrations is observed in the snow of the KBS landscapes by a factor of 29; Cd, Zn, Co, Sn, respectively, 13, 9, 6, 5 times; Nb, Cr, B, V, Ni - 2-4 times. The regional and transboundary transfer of air masses is associated with the constant supply of Be to the snow cover, the positive dynamics of Zr, Ag, W. At the same time, the anthropogenic impact on the KBS landscapes over the past 5 years has not led to a change in the natural content of chemical elements in chernozem soils. The natural landscapes of the KBS in terms of the content of heavy metals in soils can function as background landscapes.

Language: Russian
DOI
Keywords: геохимический мониторингантропогенное воздействиеanthropogenic landscapesKursk Biosphere Stationgeochemical monitoringanthropogenic impactантропогенные ландшафтыКурская биосферная станция
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