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AEROSOL AND PARTICULATE DISPERSION IN NUCLEAR FACILITIES - SAMPLING AND MEASUREMENTS

机译:核设施中的气溶胶和微粒分散 - 取样和测量

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Understanding the particle signatures associated with special nuclear material (SNM) processing operations are an essential tool for determining the environmental observables associated with a given facility. Each SNM process creates distinct physical and chemical signatures that are released as effluents in the form of gaseous emissions, particulates, liquids, or waste. These effluents are transported from the point of origin to the environment through various means such as ventilation, waste disposal, and personal movement pathways. Often during this process, the particle signature is changed. For example, ventilation systems skew particle effluent signatures by removing larger, heavier particles from the effluent stream. In order to predict the environmental observable of an SNM process, one must first measure the source term associated with this process. With source term information, modeling and simulation can be applied, allowing one to predict the environmental observables for a vast array of process and facilities. Presented in this initial paper will be the preliminary efforts to collect and quantify particle source terms for a variety of uranium processing operations.
机译:了解与特殊核材料(SNM)处理操作相关的粒子签名是用于确定与给定设施相关的环境可观察物的必要工具。每个SNM过程都会产生不同的物理和化学签名,这些物理和化学签名是气态排放,颗粒,液体或废物形式的流出物。这些污水通过诸如通风,废物处理和个人运动途径的各种手段从原点到环境。通常在此过程中,粒子签名改变。例如,通风系统通过从流出物流中除去较大的较重颗粒来倾斜粒子流出痕迹。为了预测SNM过程的环境可观察,必须首先测量与此过程相关的源术语。利用源期限信息,可以应用建模和仿真,允许一个用于预测广泛的过程和设施的环境可观察。在本初案中提出,将是收集和量化各种铀加工操作的粒子源术语的初步努力。

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