Garnier-Laplace J, Della-Vedova C, Andersson P, Copplestone D, Cailes C, Beresford N A, Howard B J, Howe P, Whitehouse P
Institut de Radioprotection et de Sûreté Nucléaire DEI/SECRE, CEN Cadarache-Bâtiment 159, BP 3, 13115 Saint-Paul-lez-Durance, France.
J Radiol Prot. 2010 Jun;30(2):215-33. doi: 10.1088/0952-4746/30/2/S02. Epub 2010 Jun 9.
Dose rate benchmarks are required in the tiered approaches used to screen out benign exposure scenarios in radiological ecological risk assessment. Such screening benchmarks, namely the predicted no-effect dose rates (PNEDR), have been derived by applying, as far as possible, the European guidance developed for chemicals. To derive the ecosystem level (or generic) PNEDR, radiotoxicity EDR(10) data (dose rates giving a 10% effect in comparison with the control) were used to fit a species sensitivity distribution (SSD) and estimate the HDR(5) (the hazardous dose rate affecting 5% of species with a 10% effect). Then, a multi-criteria approach was developed to justify using an assessment factor (AF) to apply to the HDR(5) for estimating a PNEDR value. Several different statistical data treatments were considered which all gave reasonably similar results. The suggested generic screening value of 10 microGy h(-1) (incremental dose rate) was derived using the lowest available EDR(10) value per species, an unweighted SSD, and an AF of 2 applied to the estimated HDR(5). Consideration was also given to deriving screening benchmark values for organism groups but this was not thought to be currently appropriate due to few relevant data being currently available.
在用于筛选放射生态风险评估中良性暴露情景的分层方法中,需要剂量率基准。这种筛选基准,即预测无效应剂量率(PNEDR),是通过尽可能应用为化学品制定的欧洲指南得出的。为了得出生态系统水平(或通用)的PNEDR,使用放射毒性EDR(10)数据(与对照相比产生10%效应的剂量率)来拟合物种敏感性分布(SSD)并估计HDR(5)(影响5%物种且产生10%效应的危险剂量率)。然后,开发了一种多标准方法来证明使用评估因子(AF)应用于HDR(5)以估计PNEDR值的合理性。考虑了几种不同的统计数据处理方法,所有这些方法都给出了相当相似的结果。建议的通用筛选值10微戈瑞/小时(增量剂量率)是使用每个物种可用的最低EDR(10)值、未加权的SSD以及应用于估计的HDR(5)的2的AF得出的。还考虑了推导生物群体的筛选基准值,但由于目前可用的相关数据很少,认为目前这不合适。