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基于高斯烟羽模型的蒙特卡罗方法在建筑物近场辐射剂量计算中的应用。

A Gaussian-plume based Monte Carlo method for calculating radiation dose in the near field of buildings.

机构信息

Medical Physics Department, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom.

EnFlo, Department of Mechanical Engineering Sciences, University of Surrey, London, United Kingdom.

出版信息

J Radiol Prot. 2024 Jun 17;44(2). doi: 10.1088/1361-6498/ad53d6.

Abstract

A Monte Carlo (MC) programme was written using the dose point kernel method to calculate doses in the roof zone of a building from nearby releases of radioactive gases. A Gaussian Plume Model (GPM) was parameterised to account for near-field building effects on plume spread and reflection from the roof. Rooftop recirculation zones and building-generated plume spread effects were accounted in a novel Dual Gaussian Plume (DGP) formulation used with the MC model, which allowed for the selection of angle of approach flow, plume release height in relation to the building and position of the release point in relation to the leading edge of the building. Three-dimensional wind tunnel concentration field data were used for the parameterisation. The MC code used the parameterised concentration field to calculate the contributions to effective dose from inhalation, cloud immersion from positron/beta particles, and gamma-ray dose for a wide range of receptor dose positions in the roof zone, including receptor positions at different heights above the roof. Broad trends in predicted radiation dose with angle of approach flow, release position in relation to the building and release height are shown. Alternative approaches for the derivation of the concentration field are discussed.

摘要

使用剂量点核方法编写了一个蒙特卡罗(MC)程序,以计算放射性气体附近释放物对建筑物屋顶区域的剂量。参数化高斯烟羽模型(GPM)以考虑近场建筑物对烟羽扩散和屋顶反射的影响。在与 MC 模型一起使用的新颖双高斯烟羽(DGP)公式中考虑了屋顶再循环区和建筑物产生的烟羽扩散效应,该公式允许选择来流角度、与建筑物相关的烟羽释放高度以及释放点相对于建筑物前缘的位置。使用三维风洞浓度场数据进行参数化。MC 代码使用参数化浓度场来计算吸入、正电子/β粒子云浸泡以及屋顶区域内广泛受体剂量位置的伽马剂量的有效剂量贡献,包括屋顶上方不同高度的受体位置。显示了与来流角度、与建筑物的释放位置和释放高度相关的预测辐射剂量的总体趋势。还讨论了推导浓度场的替代方法。

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