Assessment of changes in Chernobyl contamination and erosion rates within cultivated slopes using soil re-sampling method
- Authors: Ivanov M.M.1,2, Ivanova N.N.2, Golosov V.N.1,2, Usacheva A.A.1,3, Smolina G.A.4, Fomicheva D.V.5
-
Affiliations:
- Institute of Geography of RAS
- Lomonosov Moscow State University
- IGEM of RAS
- Moscow Timiryazev Agricultural Academy
- Dokuchaev Soil Science Institute
- Issue: No 9 (2024)
- Pages: 1251–1262
- Section: DEGRADATION, REHABILITATION, AND CONSERVATION OF SOILS
- URL: https://freezetech.ru/0032-180X/article/view/683594
- DOI: https://doi.org/10.31857/S0032180X24090078
- EDN: https://elibrary.ru/WLVOZW
- ID: 683594
Cite item
Abstract
The transformation of radioactive contamination of agricultural lands with the 137Cs isotope is one of the evidences of soil erosion. Quantitative assessment of changes in radionuclide inventories and the corresponding rates of soil loss can be carried out by repeated sampling of integral soil samples at key sites over long time intervals. Due to the high labor intensity, such studies are relatively few and have not previously been conducted in the zone of intense Chernobyl contamination in Central Russia. The method of repeated sampling (re-sampling) was used in 2023 within the plowed slopes of a small catchment area in the southern part of the Tula region, 26 years after a similar procedure was carried out in 1997. The changes in 137Cs inventories that occurred during this period turned out to be statistically significant, with an average reduction of more than 10%. According to a proportional erosion conversion model using relative changes in 137Cs inventories, the average annual flushing rate was estimated at 11.7 t ha-1 year-1. Such values of soil losses are generally comparable with the previously published results of independent mathematical modeling for this area. Thus, the use of the re-sampling method, including at new sites, is promising for assessing the rate of soil loss, and in addition makes it possible to verify existing erosion models and track long-term trends in the spatial transformation of radioactive contamination.
Keywords
About the authors
M. M. Ivanov
Institute of Geography of RAS; Lomonosov Moscow State University
Author for correspondence.
Email: ivanovm@bk.ru
Faculty of Geography
Russian Federation, Moscow, 119017; Moscow, 119991N. N. Ivanova
Lomonosov Moscow State University
Email: ivanovm@bk.ru
Faculty of Geography
Russian Federation, Moscow, 119991V. N. Golosov
Institute of Geography of RAS; Lomonosov Moscow State University
Email: ivanovm@bk.ru
Faculty of Geography
Russian Federation, Moscow, 119017; Moscow, 119991A. A. Usacheva
Institute of Geography of RAS; IGEM of RAS
Email: ivanovm@bk.ru
Russian Federation, Moscow, 119017; Moscow, 119017
G. A. Smolina
Moscow Timiryazev Agricultural Academy
Email: ivanovm@bk.ru
Russian Federation, Moscow, 127434
D. V. Fomicheva
Dokuchaev Soil Science Institute
Email: ivanovm@bk.ru
Russian Federation, Moscow, 119017
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