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Transformation of the Chernobyl 137Cs Contamination Patterns at the Microlandscape Level as an Indicator of Stochastic Landscape Organization

  • Vitaly G. LinnikEmail author
  • Anatoly A. Saveliev
  • Alexander V. Sokolov
Chapter
  • 11 Downloads
Part of the Landscape Series book series (LAEC, volume 26)

Abstract

The issues of assessing heterogeneous structure of the microlandscape are considered using the example of two sites—in a semihydromorphic and automorphic condition. The research is based on the estimation of the 137Cs pattern transformation by the geostatistical analysis, as well as by the simulation of the relationships between radionuclide contamination and the microrelief parameters. We found evidence that the intensity of the 137Cs patterns transformation increases in semihydromorphic conditions as soil hydromorphism increases. Because of the initial heterogeneity of the microlandscape, a variogram analysis was applied to examine the 137Cs distribution patterns. We identified two scale levels of 137Cs contamination patches: 20–30 m and 1.5–2.0 m. In automorphic environments of the interfluve area, a weak transformation of the 137Cs patterns was found, which, in contrast to that of the semihydromorphic site, remains spatially uncorrelated. We analyzed the validity of the linear (LM) and nonlinear general additive models (GAM), which were built to establish the relationships between 137Cs patterns and microrelief parameters measured in two grid systems with resolution 0.1 and 0.25 m. Transformation of 137Cs patterns at different scale levels serves as a relevant tool for analyzing the stochastic self-organization of landscape structures, where the component relations inside are nonlinear.

Keywords

Microlandscape Chernobyl Patterns Self-organization Geostatistics Semivariogram 

Notes

Acknowledgments

The study was performed with partial financial support of the Russian Foundation for Basic Research, grant No. 16-05-00915.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Vitaly G. Linnik
    • 1
    • 2
    Email author
  • Anatoly A. Saveliev
    • 3
  • Alexander V. Sokolov
    • 4
  1. 1.Vernadsky Institute of Geochemistry and Analytical ChemistryMoscowRussia
  2. 2.Geographical DepartmentLomonosov Moscow State UniversityMoscowRussia
  3. 3.Institute of Environmental Sciences, Kazan Federal UniversityKazanRussia
  4. 4.Kharkevich Institute for Information Transmission Problems, Russian Academy of SciencesMoscowRussia

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