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首页> 外文期刊>Health Physics: Official Journal of the Health Physics Society >Considerations for data processing by continuous air monitors based on accumulation sampling techniques.
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Considerations for data processing by continuous air monitors based on accumulation sampling techniques.

机译:考虑数据处理的连续的基于累积采样空气监测技术。

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摘要

Continuous air monitors (CAMs) sample air and alarm when concentration levels of radioactivity in air exceed preset alarm levels. The air concentrations through time are calculated based on accumulation sampling techniques. Accumulation air sampling is the process in which radioactive aerosol is continually deposited onto a collection medium and a radiation detector provides continuous measurements of the radioactivity on the filter. To assess the air concentration, time intervals are established for the counting and sampling times, and the measurement of concentration represents an average over the measurement interval. There are multiple methods that can be used to determine the concentration for the most recent measurement interval, and based on the method used, each can result in significantly different values for concentrations, associated uncertainties, and response times. We evaluate and compare several methods for determining air concentrations based on accumulation counting techniques. Further, we provide a real-life example of accumulation counting and the effects of compensating for background radiation in the context of monitoring for plutonium concentrations against a fluctuating radon progeny background. Results show the importance of selecting a method that provides for a balance of response time, measurement interval, background compensation technique, and uncertainty for optimal protection of workers.
机译:连续监控(摄像头)样本空气和空气警报当浓度水平的放射性物质在空气中超过预设的报警级别。浓度随时间计算的基础在抽样技术积累。空气取样过程中放射性气溶胶一直放置在一片集合中、辐射探测器提供的连续测量放射性的过滤器。浓度,建立了时间间隔数和采样时间,测量浓度代表了平均测量时间间隔。多个方法,可用于确定最近的浓度测量间隔,基于所使用的方法,都可以导致显著不同的值相关的不确定性,和浓度响应时间。确定基于空气浓度的方法在累积计数技术。提供一个现实生活中的例子积累计算和补偿的影响背景辐射的监测对一个钚的浓度波动氡子核背景。显示选择的方法的重要性提供了一个平衡的响应时间,测量时间间隔、背景补偿技术,最佳的保护和不确定性的工人。

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