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[Specific Features of Radioactive Pollution of Soils of Catchment Areas of Lake Shablish (Distant Zone of the East Ural Radioactive Trace)].

Authors: V V, Deryagin; S G, Levina; A A, Sutyagin; N S, Parfilova;

[Specific Features of Radioactive Pollution of Soils of Catchment Areas of Lake Shablish (Distant Zone of the East Ural Radioactive Trace)].

Abstract

Specific features of 90Sr and 137Cs distribution and accumulation in soil cuts of superaqueous and eluvial positions of catchment areas of Lake Shablish located in a distant zone of the East Ural radioactive trace are considered. Some physical and chemical characteristics of the soils were defined. It is established that the signs typical for the lake ecosystems of distant East-Ural radioactive trace zone which underwent impact of technogenic influence are common for soils of catchment areas of Lake Shablish. The distinctions in some characteristic features of the specific activity of long-living radionuclides for the soils of superaqueous and eluvial positions of catchment areas connected with the character of the water regime of soils are shown.

Keywords

Lakes, Cesium Radioisotopes, Radiation Monitoring, Strontium Radioisotopes, Water Pollution, Radioactive, Soil Pollutants, Radioactive, Russia

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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