A radioecological model with moisture-dependent K d : Application to 129 I and 79 Se natural release to a grassland
A radioecological model previously developed to simulate chlorine cycling in a Scots pine forest was modified to examine the effect of soil hydrochemical conditions on the fate of I and Se released to a grassland through natural discharge of contaminated groundwater. To this end, the constant solid-...
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Veröffentlicht in: | Journal of environmental radioactivity 2022-12, Vol.255, p.107043 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | A radioecological model previously developed to simulate chlorine cycling in a Scots pine forest was modified to examine the effect of soil hydrochemical conditions on the fate of
I and
Se released to a grassland through natural discharge of contaminated groundwater. To this end, the constant solid-liquid distribution coefficient (K
) in the original model was replaced by a parametric equation to estimate
I and
Se K
values from soil saturation - as a proxy for soil redox potential - and a set of K
values determined experimentally under oxic and anoxic conditions. Additionally, the multi-compartment Scots pine tree module was replaced by a two-compartment module to represent
I and
Se cycling in grass. Simulations undertaken with the model indicated a considerable effect of soil redox conditions on
I and
Se accumulation in the soil column, especially in the saturated subsoil above the water table. The constant K
overestimated
I accumulation in the soil in relation to the parametric K
. In contrast, the constant K
underestimated
Se accumulation in the soil. These results have implications for radiological impact assessments, specifically regarding the degree of conservatism in the K
used in the assessment. In respect of bioavailability to grass, the simulated soil-to-plant transfer factors of
I and
Se compared favourably with values reported in the literature for similar soils and plant species, giving confidence in the model performance. The model presented here is a step forward in radioecological modelling as it includes the key processes that drive radionuclide transfers in soil-plant systems and the effect of soil redox conditions on sorption. The model can be readily extended to other cultivated lands and release scenarios to predict radionuclide transfer up the food chain. |
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ISSN: | 1879-1700 |