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Landscape Patterns in a Range of Spatio-Temporal Scales pp 77–89Cite as

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

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

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Fig. 5.1
Fig. 5.2
Fig. 5.3

Notes

  1. 1.

    Urochishche, podurochishche and facies are the Russian terms for hierarchical levels of a landscape morphological units. See Glossary and Chap. 1, this volume, for details.

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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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Authors and Affiliations

  1. Vernadsky Institute of Geochemistry and Analytical Chemistry, Moscow, Russia

    Vitaly G. Linnik

  2. Geographical Department, Lomonosov Moscow State University, Moscow, Russia

    Vitaly G. Linnik

  3. Institute of Environmental Sciences, Kazan Federal University, Kazan, Russia

    Anatoly A. Saveliev

  4. Kharkevich Institute for Information Transmission Problems, Russian Academy of Sciences, Moscow, Russia

    Alexander V. Sokolov

Authors
  1. Vitaly G. Linnik
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  2. Anatoly A. Saveliev
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  3. Alexander V. Sokolov
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Correspondence to Vitaly G. Linnik .

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Editors and Affiliations

  1. Department of Physical Geography & Landscape Science, Lomonosov Moscow State University, Moscow, Russia

    Alexander V. Khoroshev

  2. Department of Physical Geography & Landscape Science, Lomonosov Moscow State University, Moscow, Russia

    Kirill N. Dyakonov

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Linnik, V.G., Saveliev, A.A., Sokolov, A.V. (2020). Transformation of the Chernobyl 137Cs Contamination Patterns at the Microlandscape Level as an Indicator of Stochastic Landscape Organization. In: Khoroshev, A., Dyakonov, K. (eds) Landscape Patterns in a Range of Spatio-Temporal Scales. Landscape Series, vol 26. Springer, Cham. https://doi.org/10.1007/978-3-030-31185-8_5

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