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放射性事件中帕斯奎尔-吉福德大气稳定度分类与实体瘤风险的关系

Solid cancer risk dependence on the Pasquill-Gifford atmospheric stability classes in a radiological event.

机构信息

Institute of Nuclear Engineering (CNEN/IEN), Rio de Janeiro, Brazil.

Defense Engineering Graduate Program, Military Institute of Engineering (IME), Rio de Janeiro, Brazil.

出版信息

Radiat Environ Biophys. 2020 May;59(2):337-342. doi: 10.1007/s00411-020-00840-3. Epub 2020 Mar 27.

Abstract

In a radiological event, the lack of preliminary information about the site of explosion and the difficulty in predicting the accurate path and distribution of radioactive plumes makes it difficult to predict expected health effects of exposed individuals. So far, in such a health evaluation, radiation-induced stochastic health effects such as cancer are not included. The Pasquill-Gifford atmospheric classes generally allow connecting atmospheric stability with dispersion of radioactive contaminants to the environment. In this work, an environmental release of radioactive Cs-137 was simulated and the resulting relative risk for solid cancer incidence among the affected population calculated. The HotSpot health physics code was used to simulate the radioactive atmospheric dispersion and calculate the Total Effective Dose Equivalent (TEDE), which was then used to estimate the relative risk of cancer incidence. The main results from this work suggest that the relative cancer risk and atmospheric stability classes are linked by differences in the TEDE. Such a finding may support triage, because it adds additional information on the potentially affected population at the early stages of an emergency response.

摘要

在放射性事件中,由于缺乏关于爆炸地点的初步信息,并且难以预测放射性羽流的准确路径和分布,因此难以预测暴露个体的预期健康影响。到目前为止,在这种健康评估中,不包括辐射诱发的随机性健康影响,如癌症。帕斯奎尔-吉福德大气等级通常允许将大气稳定性与放射性污染物向环境的扩散联系起来。在这项工作中,模拟了放射性 Cs-137 的环境释放,并计算了受影响人群中固体癌症发病率的相对风险。使用 HotSpot 健康物理学代码模拟放射性大气扩散并计算总有效剂量当量 (TEDE),然后使用该 TEDE 估计癌症发病率的相对风险。这项工作的主要结果表明,癌症风险的相对风险和大气稳定性等级通过 TEDE 的差异联系在一起。这样的发现可能支持分诊,因为它在紧急响应的早期阶段为潜在受影响人群提供了额外的信息。

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