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How Spatial Analysis Can Help in Predicting the Level of Radioactive Contamination of Cereals

  • C. Mercat-Rommens
  • J.-M. Metivier
  • B. Briand
  • V. Durand
Part of the Quantitative Geology and Geostatistics book series (QGAG, volume 15)

Abstract

The study was devoted to the identification of the spatial parameters that contribute mainly to the assessment of the vulnerability of cereals in the context of accidental discharges of radioactivity into the environment. Linking an agronomical model and a radioecological model highlighted first that the flowering date was the main parameter, since it determines the beginning of an exponential transfer of contaminants from the leaves of cereal plants to the edible part, the grain. Secondly, yield also appeared to be an important parameter as it allows the quantification of the number of contaminated products. The spatial statistical analysis performed on the yield data allowed the creation of vulnerability maps with clear spatial trends, which can facilitate the management of risks associated with radioactive contamination of cereals during the post-accidental phase.

Keywords

Winter Wheat Chernobyl Accident Cereal Production Radioactive Contamination Spatial Statistical Analysis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media B.V. 2008

Authors and Affiliations

  • C. Mercat-Rommens
    • 1
  • J.-M. Metivier
  • B. Briand
  • V. Durand
  1. 1.Laboratory of radioecological studies for marine and terrestrial ecosystemsInstitute for Radioprotection and Nuclear Safety (IRSN), DEI/SESURE/LERCMCadaracheFrance

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