Radiological risk assessment for an urban area: Focusing on an air contamination event
Radiological risk assessment for an urban area: Focusing on an air contamination event
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DOI：
10.1016/j.anucene.2010.03.007
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发表时间：
2010-06-01
影响因子：
1.9
通讯作者：
Han, Moon Hee
中科院分区：
文献类型：
--
作者：
Jeong, Hyo-Joon;Hwang, Won-Tae;Han, Moon Hee
本文专门讨论了 Cs-137 的大气扩散模型和健康风险评估，以评估韩国首尔都市区放射性恐怖袭击造成的吸入事件对人类健康的潜在和实际影响。源项被假定为 5 TBq 的 Cs-137，通过恐怖袭击进入首尔大都市区的中心部分。当城市地区发生恐怖袭击时，大气扩散模型可用于支持决策和风险评估。使用高斯羽流建模和计算流体动力学建模的概念来计算空气中的 Cs-137 浓度。使用吸入受污染空气的死亡风险和发病风险系数来评估人类健康风险。高斯羽流的死亡率和发病率分别为 1.12E-2 和 1.64E-2，而计算流体动力学模型的死亡率和发病率分别为 6.23E-3 和 9.13E-3。建模的结果取决于恐怖场景和分散模型。因此，最终决策需要优化过程。 (C) 2010 Elsevier Ltd. 保留所有权利。
This paper specifically discusses an atmospheric dispersion modeling and health risk assessment for Cs-137 to assess the potential and actual effects on human health from an inhalation event due to a radiological terrorist attack in the Seoul metropolitan area, Korea. The source term was assumed to be 5 TBq of Cs-137, introduced into the central part of Seoul's metropolitan area by a terrorist attack. Atmospheric dispersion models can be used to support the decision making and risk assessments when terrorist attacks have happened in an urban area. The concepts of Gaussian plume modeling and computational fluid dynamics modeling were used to calculate the Cs-137 concentration in the air. Mortality risk and morbid risk coefficients for the inhalation of contaminated air were used to assess the human health risk. The mortality and morbidity are 1.12E-2 and 1.64E-2, respectively in case of the Gaussian plume, while 6.23E-3 and 9.13E-3 in case of the computational fluid dynamics model. The results of the modeling are dependent on the terror scenarios and dispersion models. Accordingly, the optimization process is needed for final decision making. (C) 2010 Elsevier Ltd. All rights reserved.