1887
PDF

Abstract

Summary

The use of ANS neural networks in statistical modeling of radioactinide activity prediction are highly effective. Using both of radiocesium and radiostrontium as input parameters has several advantages: in man-made pollution their content is higher than the content of transuranic radionuclides; they are more sensitive indicators of vertical and surface transport; their identification requires less expensive and more accessible analytics. The incorporation in the statistical model such a qualitative indicator “sampling layer” significantly improves the reliability of the initial data. It takes into account the high spatial migration ability of cesium-137 and strontium-90 that provides 98–99% efficiency of the regression model.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.2025510203
2025-04-14
2026-02-09
Loading full text...

Full text loading...

/deliver/fulltext/2214-4609/2025/monitoring_2025/Mon25-203.html?itemId=/content/papers/10.3997/2214-4609.2025510203&mimeType=html&fmt=ahah

References

  1. BugaiD., KireevS., HoqueM.A., KubkoY., SmithJ. (2022) Natural attenuation processes control groundwater contamination in the Chernobyl exclusion zone: evidence from 35 years of radiological monitoring. Scientific Reports, 12 (1), art. no. 18215, DOI: 10.1038/s41598‑022‑22842‑5
    https://doi.org/10.1038/s41598-022-22842-5 [Google Scholar]
  2. EvangeliouN., ZibtsevS., MyroniukV., ZhurbaM., HamburgerT., StohlA., BalkanskiY., PaugamR., MousseauT.A., MøllerA.P., KireevS.I. (2016) Resuspension and atmospheric transport of radionuclides due to wildfires near the Chernobyl Nuclear Power Plant in 2015: An impact assessment. Scientific Reports, 6, art. no. 26062, DOI: 10.1038/srep26062
    https://doi.org/10.1038/srep26062 [Google Scholar]
  3. KaglyanA.E., GudkovD.I., KireevS.I., YurchukL.P., MenkovskaMA. (2022) Levels of radionuclide contamination of fish of vershyna lake in the chornobyl exclusion zone. International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM, 22 (4.2), pp. 473 – 480, DOI: 10.5593/sgem2022V/4.2/s16.59
    https://doi.org/10.5593/sgem2022V/4.2/s16.59 [Google Scholar]
  4. KovalenkoI.O., PanasiukM.I., SkorbunA.D., SosonnaN.V., OjovanM.I., ShevchenkoA.L., OnyshchenkoI.P. (2021) Correlation between chemical composition and 90Sr concentrations in groundwater of the Chornobyl NPP industrial site. Journal of Environmental Radioactivity, 240, art. no. 106756, DOI: 10.1016/j.jenvrad.2021.106756
    https://doi.org/10.1016/j.jenvrad.2021.106756 [Google Scholar]
  5. MatrosovD., ShevchenkoA., NosovskyiA., PanasiukM. (2018) Data analysis of radiation and hydroecological monitoring of ground waters located at the industrial site of Chornobyl NPP. 12th International Scientific Conference “Monitoring of Geological Processes and Ecological Condition of the Environment”
    [Google Scholar]
  6. VyzhvaS., OnyshchukV., OnyshchukI., RevaM., ShabaturaO. (2018) Identification of burial sites of radioactive contaminated materials using geophysical methods. 17th International Conference on Geoinformatics - Theoretical and Applied Aspects, DOI: 10.3997/2214‑4609.201801825
    https://doi.org/10.3997/2214-4609.201801825 [Google Scholar]
  7. ShevchenkoA.L., CharnyiD.V., AkinfievG.A., KireevS.I. (2016) Factors governing strontium-90 export with surface runoff in the Chernobyl NPP restricted zone. Water Resources, 43 (3), pp. 522 – 532, DOI: 10.1134/S0097807816010127
    https://doi.org/10.1134/S0097807816010127 [Google Scholar]
/content/papers/10.3997/2214-4609.2025510203
Loading
/content/papers/10.3997/2214-4609.2025510203
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error