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A comparison of methods to derive aggregated transfer factors using wild boar data from the Fukushima Prefecture

机译:利用福岛县野猪数据推算总转移因子的方法比较

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摘要

Aggregated transfer factors (T-ag; m(2) kg(-1)) are often used to predict radionuclide activity concentrations in biota (Bq kg(-1)) from soil contamination levels (Bq m(-2)). Inherently large uncertainties in T-ag values severely limit their predictive power. Many published T-ag values have been derived from radionuclide deposition onto soil following weapons fallout, or the accidents at Chernobyl and Fukushima. In many cases the soil data used to derive a T-ag value were collected for other purposes, and the spatial resolution of the soil data is much less than that of the biota data to which it is paired. We hypothesized that this disassociation and imprecision in paring deposition density and biota data may contribute to the large variations observed in T-ag values. We tested the hypothesis by deriving T-ag values for Japanese wild boar in two ways. One method used paired deposition density-biota contamination levels, with the soil data collected from each boar trap site. The second method used a soil radioactivity density map, of relatively low spatial resolution, generated by the Japanese government agency MEXT for fallout from the Fukushima accident. We hypothesized that T-ag values derived from the method using paired deposition density-wild boar data would have less variation. Initial statistical test suggested significant differences in the predictive power of the two methods. However, removal of suspected outliers in the MEXT data set decreased the statistical differences and indicated that collecting Cs-137 soil deposition density measurements in the field did not reduce the large variation in our T-ag values. More importantly, both methods revealed that soil contamination levels are a poor predictor of radiocesium concentrations in boar (r(2) 0.23). The inadequacies of T-ag to predict wild boar Cs-137 concentrations is an ominous indication of the lack of applicability of the T-ag model as a rigorous research parameter. T-ag values are best suited for their original intended purpose: upper tier, screening level computations. Further studies on how to reduce uncertainty when predicting Cs-137 concentrations in biota are needed to thoroughly understand the transfer of radiocesium within the environment.
机译:聚集转移因子(T-ag; m(2)kg(-1))通常用于根据土壤污染水平(Bq m(-2))预测生物区系(Bq kg(-1))中的放射性核素活度浓度。 T-ag值固有的不确定性严重限制了其预测能力。许多已公布的T-ag值是从放射性核素在武器坠落或切尔诺贝利和福岛事故发生后沉积到土壤中得出的。在许多情况下,用于得出T-ag值的土壤数据是出于其他目的而收集的,并且土壤数据的空间分辨率远小于与其配对的生物群数据的空间分辨率。我们假设这种分离和不精确的配对沉积密度和生物区系数据可能会导致T-ag值出现较大变化。我们通过两种方式推导日本野猪的T-ag值来检验该假设。一种方法是使用成对的沉积密度-生物区系污染水平,并从每个公猪诱集点收集土壤数据。第二种方法是使用日本政府机构MEXT生成的,相对较低空间分辨率的土壤放射性密度图,用于福岛事故的后果。我们假设从使用配对沉积密度野猪数据的方法得出的T-ag值变化较小。初步的统计检验表明,两种方法的预测能力存在显着差异。但是,在MEXT数据集中删除可疑离群值减少了统计差异,并表明在野外收集Cs-137土壤沉降密度测量值并不能减少T-ag值的较大差异。更重要的是,这两种方法均表明土壤污染水平不能很好地预测公猪中放射性铯的浓度(r(2)<0.23)。 T-ag不足以预测野猪Cs-137的浓度,这预示着T-ag模型缺乏作为严格的研究参数的适用性。 T-ag值最适合其原始预期用途:上层,筛查水平计算。需要进一步研究如何在预测生物群中Cs-137浓度时减少不确定性,以彻底了解环境中放射性铯的转移。

著录项

  • 来源
    《Journal of Environmental Radioactivity》 |2019年第2期|101-108|共8页
  • 作者单位

    Fukushima Univ, Inst Environm Radioact, Fukushima, Fukushima 9601248, Japan;

    Hiroshima Shudo Univ, Fac Human Environm Studies, Hiroshima, Hiroshima 7313195, Japan;

    Colorado State Univ, Dept Stat, Ft Collins, CO 80523 USA;

    Fukushima Univ, Inst Environm Radioact, Fukushima, Fukushima 9601248, Japan|Fukushima Univ, Symbiot Syst Sci & Technol Fac, Fukushima, Fukushima 9601248, Japan;

    Colorado State Univ, Environm & Radiol Hlth Sci Fac, Ft Collins, CO 80523 USA;

    Fukushima Univ, Inst Environm Radioact, Fukushima, Fukushima 9601248, Japan;

    Fukushima Univ, Inst Environm Radioact, Fukushima, Fukushima 9601248, Japan;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Fukushima; Wild boar; Radiocesium; Aggregated transfer factor;

    机译:福岛;野猪;Radi;聚集转移因子;

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