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Fit-for-purpose modelling of radiocaesium soil-to-plant transfer for nuclear emergencies: a review

机译:核紧急情况下放射性铯土壤到植物转移的适合目的建模:综述

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Numerous radioecological models have been developed to predict radionuclides transfer from contaminated soils to the food chain, which is an essential step in preparing and responding to nuclear emergencies. However, the lessons learned from applying these models to predict radiocaesium (RCs) soil-to-plant transfer following the Fukushima accident in 2011 renewed interest in RCs transfer modelling. To help guide and prioritise further research in relation to modelling RCs transfer in terrestrial environments, we reviewed existing models focussing on transfer to food crops and animal fodders.To facilitate the review process, we categorised existing RCs soil-to-plant transfer models into empirical, semi-mechanistic and mechanistic, though several models cross the boundaries between these categories. The empirical approach predicts RCs transfer to plants based on total RCs concentration in soil and an empirical transfer factor. The semi-mechanistic approach takes into account the influence of soil characteristics such as clay and exchangeable potassium content on RCs transfer. It also uses 'bioavailable' rather than total RCs in soil. The mechanistic approach considers the physical and chemical processes that control RCs distribution and uptake in soil-plant systems including transport in the root zone and root absorption kinetics.Each of these modelling approaches has its advantages and disadvantages. The empirical approach is simple and requires two inputs, but it is often associated with considerably uncertainty due to the large variability in the transfer factor. The semi-mechanistic approach factorises more soil and plant parameters than the empirical approach; therefore, it is applicable to a wider range of environmental conditions. The mechanistic approach is instrumental in understanding RCs mobility and transfer in soil-plant systems; it also helps to identify influential soil and plant parameters. However, the comlexity and the large amount of specific parameters make this approach impractical for nuclear emergency preparedness and response purposes.We propose that the semi-mechanistic approach is sufficiently robust and practical, hence more fit for the purpose of planning and responding to nuclear emergencies compared with the empirical and mechanistic approaches. We recommend further work to extend the applicability of the semi-mechanistic approach to a wide range of plants and soils.
机译:已经开发了许多放射性生态模型来预测放射性核素从受污染的土壤转移到食物链,这是准备和应对核紧急情况的必不可少的步骤。但是,在2011年福岛事故后应用这些模型预测放射性铯(RCs)从土壤到植物的迁移过程中吸取的教训使人们对RCs迁移建模有了新的兴趣。为了帮助指导和优先考虑与地面环境中的RC转移相关的进一步研究,我们回顾了侧重于向粮食作物和动物饲料转移的现有模型。 ,半机械的和机械的,尽管有几种模型跨越了这些类别之间的界限。经验方法基于土壤中的总RCs浓度和经验转移因子来预测RCs向植物的转移。半机械方法考虑了粘土,可交换钾含量等土壤特性对RCs迁移的影响。它还使用“生物利用度”而不是土壤中的总RC。力学方法考虑了控制RCs在土壤-植物系统中分布和吸收的物理和化学过程,包括根区的运输和根吸收动力学,每种建模方法都有其优点和缺点。经验方法很简单,需要两个输入,但是由于转移因子的巨大变化,它常常带来很大的不确定性。半机械方法比经验方法分解更多的土壤和植物参数。因此,它适用于更广泛的环境条件。机械方法有助于理解土壤植物系统中RC的迁移和转移;它还有助于确定有影响力的土壤和植物参数。但是,复杂性和大量的特定参数使得该方法对于核应急准备和响应目的不切实际。我们建议半机械方法足够鲁棒和实用,因此更适合于计划和应对核紧急情况的目的与经验方法和机械方法相比。我们建议您进一步开展工作,以将半机械方法的适用性扩展到广泛的植物和土壤。

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