Department of Mushroom Science and Forest Microbiology, Forestry and Forest Products Research Institute, Tsukuba, Ibaraki, 305-8687, Japan.
Department of Forest Soils, Forestry and Forest Products Research Institute, Tsukuba, Ibaraki, 305-8687, Japan.
Sci Rep. 2021 Nov 17;11(1):22470. doi: 10.1038/s41598-021-01816-z.
After the accident at the Fukushima Daiichi Nuclear Power Plant (FDNPP), much of the wild and edible mushrooms and plants in the surrounding areas were contaminated with radiocesium (Cs). To elucidate their concentration characteristics, we analyzed Cs radioactivity data in edible forest products brought in for food inspection by the residents of Kawauchi Village, 12-30 km away from the FDNPP, from 2012 to 2019. A Bayesian model to estimate Cs concentration was constructed. Parameters of the normalized concentration of species (NC) for mushrooms were similar to those of the same species obtained in a previous study. Although NC values were highly varied among species, mycorrhizal mushrooms tended to have high NC values, followed by saprotrophic mushrooms, and wild edible plants values were low. Also, half of mycorrhizal mushroom species (8 of 16) showed an increasing trend in concentration with time; however, saprotrophic mushrooms and wild plants generally demonstrated a decreasing trend (22 of 24). The model considering the sub-village location information decreased the error of individual samples by 40% compared to the model not considering any location information, indicating that the detailed geo-information improved estimation accuracy. Our results indicate that the radioactivity data from samples collected by local residents can be used to accurately assess internal exposure to radiation due to self-consumption of contaminated wild mushrooms and plants.
福岛第一核电站(FDNPP)事故发生后,周边地区的许多野生可食用蘑菇和植物都受到了放射性铯(Cs)的污染。为了阐明其浓度特征,我们分析了 2012 年至 2019 年来自距 FDNPP 约 12-30 公里的川内村居民送检的食用林产品中的 Cs 放射性数据。构建了一种用于估计 Cs 浓度的贝叶斯模型。蘑菇的物种归一化浓度(NC)参数与之前研究中同种蘑菇的参数相似。尽管 NC 值在物种之间存在很大差异,但菌根蘑菇的 NC 值往往较高,其次是腐生蘑菇,野生食用植物的 NC 值较低。此外,一半的菌根蘑菇物种(16 种中的 8 种)表现出浓度随时间增加的趋势;然而,腐生蘑菇和野生植物通常表现出下降趋势(24 种中的 22 种)。与不考虑任何位置信息的模型相比,考虑到分村位置信息的模型使个体样本的误差降低了 40%,表明详细的地理信息提高了估计精度。我们的结果表明,当地居民采集的样本放射性数据可用于准确评估因食用受污染的野生蘑菇和植物而导致的内部辐射暴露。