4.7 Article

Effects of species and geo-information on the 137Cs concentrations in edible wild mushrooms and plants collected by residents after the Fukushima nuclear accident

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SCIENTIFIC REPORTS
卷 11, 期 1, 页码 -

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NATURE PORTFOLIO
DOI: 10.1038/s41598-021-01816-z

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  1. Forestry and Forest Products Research Institute (FFPRI) [201901]
  2. Kakenhi [21K05679]
  3. Grants-in-Aid for Scientific Research [21K05679] Funding Source: KAKEN

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The study analyzed Cs-137 radioactivity data in edible forest products from the Fukushima Daiichi Nuclear Power Plant accident area, revealing varying concentration characteristics among different species. It was found that mycorrhizal mushrooms had higher Cs-137 concentrations, while wild edible plants had lower concentrations. By using a Bayesian model and detailed geographical information, accurate assessment of radiation exposure from contaminated wild mushrooms and plants was improved.
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-137). To elucidate their concentration characteristics, we analyzed Cs-137 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-137 concentration was constructed. Parameters of the normalized concentration of species (NCsp) for mushrooms were similar to those of the same species obtained in a previous study. Although NCsp values were highly varied among species, mycorrhizal mushrooms tended to have high NCsp 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.

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