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Please use this identifier to cite or link to this item: http://dspace.bsuedu.ru/handle/123456789/66502
Title: Modeling and factor assessment of pond silting in forest-steppe agrolandscapes of the Central Russian upland
Authors: Skokova, N. A.
Narozhnyaya, A. G.
Gusarov, A. V.
Lisetskii, F. N.
Keywords: geophysical sciences
hydrology
catchment
runoff
land cover
land use
soil erosion
soil loss
sediment thickness
machine learning
factor analysis
pond typification
Belgorod Oblast
Issue Date: 2026
Citation: Modeling and factor assessment of pond silting in forest-steppe agrolandscapes of the Central Russian upland / N.A. Skokova, A.G. Narozhnyaya, A.V. Gusarov, F.N. Lisetskii // Geographies. - 2026. - Vol.6, №1.-Art. 13. - URL: https://www.mdpi.com/2673-7086/6/1/13.
Abstract: This paper presents the results of assessing the influence of siltation factors in 23 ponds in one of the most agriculturally developed macro-regions of European Russia - the Central Russian Upland. Key natural and anthropogenic factors determining the intensity of pond siltation have been identified, and a typification of ponds has been developed to predict the rate of accumulation of bottom sediments in them
URI: http://dspace.bsuedu.ru/handle/123456789/66502
Appears in Collections:Статьи из периодических изданий и сборников (на иностранных языках) = Articles from periodicals and collections (in foreign languages)

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