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模拟低铀品位废石覆盖地形中放射性核素在粉尘中的扩散。

Modelling the dispersion of radionuclides in dust from a landform covered by low uranium grade waste rock.

作者信息

Doering Che, McMaster Scott A, Johansen Mathew P

机构信息

Environmental Research Institute of the Supervising Scientist (ERISS), GPO Box 461, Darwin, NT, 0801, Australia.

Environmental Research Institute of the Supervising Scientist (ERISS), GPO Box 461, Darwin, NT, 0801, Australia.

出版信息

J Environ Radioact. 2019 Jun;202:51-58. doi: 10.1016/j.jenvrad.2019.02.006. Epub 2019 Feb 20.

Abstract

The dispersion of radionuclides in dust and inhalation dose rates to the public from the planned remediation of the Ranger uranium mine in the wet-dry tropics of Australia was modelled using RESRAD-OFFSITE. Dust inhalation dose rates were predicted to be highest on the remediated site and decrease with an approximate inverse square to inverse cubic dependence with distance from the site. The annual dose above natural background to a hypothetical individual permanently occupying the remediated site (representing the worst case scenario for radionuclide in dust exposure) was estimated to be 5.3 × 10 mSv. The estimated doses from exposure to radionuclides in dust were two to three orders of magnitude lower than those from exposure to Rn. A sensitivity analysis showed that source-related and receptor-related model parameters had direct proportional influences on dust inhalation dose rates. Four transport-related model parameters (atmospheric stability class, deposition velocity of particulates, precipitation and wind speed) were also influential and generally had an increasing influence with distance from the source. The results of this study may provide general guidance to similar sites elsewhere on the relative importance of dust versus gaseous Rn transport pathways and the relative influence of dispersion modelling parameters on predicted exposures and doses.

摘要

利用RESRAD-OFFSITE模型,对澳大利亚干湿热带地区兰杰铀矿计划修复过程中放射性核素在灰尘中的扩散以及公众的吸入剂量率进行了模拟。预计修复场地的灰尘吸入剂量率最高,并随着与场地距离的增加大致呈平方反比至立方反比关系下降。对于永久居住在修复场地的假设个体(代表灰尘中放射性核素暴露的最坏情况),超过自然本底的年剂量估计为5.3×10毫希沃特。灰尘中放射性核素暴露的估计剂量比氡暴露的估计剂量低两到三个数量级。敏感性分析表明,与源相关和与受体相关的模型参数对灰尘吸入剂量率有直接的比例影响。四个与传输相关的模型参数(大气稳定度等级、颗粒物沉降速度、降水量和风速)也有影响,并且通常随着与源距离的增加影响增大。本研究结果可为其他类似场地提供一般性指导,说明灰尘与气态氡传输途径的相对重要性以及扩散模型参数对预测暴露和剂量的相对影响。

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