In the most highly contaminated region of the Chernobyl Exclusion Zone: the ‘Red Forest’ site,
the accumulation of the major dose-affecting radionuclides (90Sr and 137Cs) within the
components of an ecological system encompassing 3,000 m2 were characterized. The sampled
components included soils (top 0-10 cm depth), Molina caerulea (blue moor grass), Camponotus
vagus (carpenter ants) and Pelobates fuscus (spade-footed toad). In a comparison among the
components of this ecosystem, the 90Sr and 137Cs concentrations measured in 40 separate grids
exhibited significant differences, while the frequency distribution of the values were close to a logarithmically normal leptokurtic distribution with a significant right-side skew. While it is important to identify localized areas of high contamination or “hot spots,” including these values in the arithmetic mean may overestimate the exposure risk. In component sample sets that
exhibited logarithmically normal distribution, the geometrical mean more accurately
characterizes a site. Ideally, risk assessment is most confidently achieved when the arithmetic and geometrical means are most similar, meaning the distribution approaches normal. Through
bioaccumulation, the highest concentrations of 90Sr and 137Cs were measured in the blue moor
grass and spade-footed toad. These components also possessed distribution parameters that
shifted toward a normal distribution
In the most highly contaminated region of the Chernobyl Exclusion Zone: the ‘Red Forest’ site,
the accumulation of the major dose-affecting radionuclides (90Sr and 137Cs) within the
components of an ecological system encompassing 3,000 m2 were characterized. The sampled
components included soils (top 0-10 cm depth), Molina caerulea (blue moor grass), Camponotus
vagus (carpenter ants) and Pelobates fuscus (spade-footed toad). In a comparison among the
components of this ecosystem, the 90Sr and 137Cs concentrations measured in 40 separate grids
exhibited significant differences, while the frequency distribution of the values were close to a logarithmically normal leptokurtic distribution with a significant right-side skew. While it is important to identify localized areas of high contamination or “hot spots,” including these values in the arithmetic mean may overestimate the exposure risk. In component sample sets that
exhibited logarithmically normal distribution, the geometrical mean more accurately
characterizes a site. Ideally, risk assessment is most confidently achieved when the arithmetic and geometrical means are most similar, meaning the distribution approaches normal. Through
bioaccumulation, the highest concentrations of 90Sr and 137Cs were measured in the blue moor
grass and spade-footed toad. These components also possessed distribution parameters that
shifted toward a normal distribution
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