Graduate School of Integrated Arts and Sciences, Hiroshima University, 1-7-1 Kagamiyama, Higashi-Hiroshima, Hiroshima 739-8521, Japan.
Graduate School of Integrated Arts and Sciences, Hiroshima University, 1-7-1 Kagamiyama, Higashi-Hiroshima, Hiroshima 739-8521, Japan.
Environ Pollut. 2017 May;224:430-435. doi: 10.1016/j.envpol.2017.02.023. Epub 2017 Feb 22.
We estimated the sample size (the number of samples) required to evaluate the concentration of radiocesium (Cs) in Japanese fir (Abies firma Sieb. & Zucc.), 5 years after the outbreak of the Fukushima Daiichi Nuclear Power Plant accident. We investigated the spatial structure of the contamination levels in this species growing in a mixed deciduous broadleaf and evergreen coniferous forest stand. We sampled 40 saplings with a tree height of 150 cm-250 cm in a Fukushima forest community. The results showed that: (1) there was no correlation between the Cs concentration in needles and soil, and (2) the difference in the spatial distribution pattern of Cs concentration between needles and soil suggest that the contribution of root uptake to Cs in new needles of this species may be minor in the 5 years after the radionuclides were released into the atmosphere. The concentration of Cs in needles showed a strong positive spatial autocorrelation in the distance class from 0 to 2.5 m, suggesting that the statistical analysis of data should consider spatial autocorrelation in the case of an assessment of the radioactive contamination of forest trees. According to our sample size analysis, a sample size of seven trees was required to determine the mean contamination level within an error in the means of no more than 10%. This required sample size may be feasible for most sites.
我们估算了福岛第一核电站事故爆发 5 年后评估日本冷杉(Abies firma Sieb. & Zucc.)中放射性铯(Cs)浓度所需的样本量(样本数)。我们调查了在混合落叶阔叶和常绿针叶林中生长的该物种的污染水平的空间结构。我们在福岛的一个森林群落中,对 40 株树高为 150-250 厘米的幼树进行了采样。结果表明:(1)针叶中 Cs 浓度与土壤之间没有相关性,(2)针叶和土壤中 Cs 浓度的空间分布模式的差异表明,在放射性核素释放到大气中后的 5 年内,根部吸收对该物种新针叶中 Cs 的贡献可能较小。针叶中 Cs 的浓度在 0 至 2.5 米的距离类中表现出强烈的正空间自相关,这表明在评估森林树木的放射性污染时,数据的统计分析应考虑空间自相关。根据我们的样本量分析,需要七个树木样本才能在不超过 10%的均值误差范围内确定平均污染水平。对于大多数地点来说,这个所需的样本量可能是可行的。