Radioactive Air Sampling Methods
This loss also happens on the RW and CW monitors, but there, the loss due to the filter movement also plays a role. In both plots, Poisson "noise" is added and a constant-gain digital filter is applied, emulating the countrate responses as they would be observed on a modern CPAM. The horizontal dotted lines are the limiting countrates calculated from the equations given in the previous section.
Also in both plots the transit times are indicated; note that these times are measured from the start of the concentration, at time 30 minutes, not from the arbitrary time zero of the plots. In these example graphs, the length of the RW and the diameter of the CW are equal; if they were not equal, then the transit times would not be equal.
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Having mathematical models that can predict the CPAM response, i. A number of approaches to this inverse problem are addressed in detail in. One important conclusion from this paper is that for all practical purposes moving-filter monitors are not usable for quantitative estimation of a time-dependent concentration. The only moving-filter method that has been used historically involves a constant-concentration, LL assumption, which leads to the RW expression:. Thus, a concentration estimate is available only after the transit time T has expired ; in most CPAM applications this time is on the order of several e.
Whether it is reasonable to assume that the concentration will stay constant for this length of time, and to further assume that only long-lived nuclides are present, is at least debatable, and it is arguable that in many practical situations these assumptions are not realistic. For example, in power reactor leak detection applications, as mentioned in the first section of this article, CPAMs are used, and a primary nuclide of interest is 88 Rb, which is far from long-lived half-life 18 minutes. Also, in the dynamic environment of a reactor containment building the 88 Rb concentration would not be expected to remain constant on a time scale of hours, as required by this measurement method.
However, realistic or not, it has for decades been the practice of CPAM vendors to provide a set of curves graphs based on the expressions above. There often is a family of curves, parameterized on the detection efficiency or labeled as to specific nuclides. The implication in providing these graphs is that one is to observe a net countrate, at any time, enter the graph at this value, and read off the concentration that exists at that time. To the contrary, unless the time is greater than the transit time T, the nuclide of interest is long-lived, and the concentration is constant over the entire interval, this process will lead to incorrect concentration estimates.
As discussed in the referenced paper, there are at least 11 possible quantitative methods for estimating the concentration or quantities derived from it. The "concentration" may only be at a specific time, or it might be an average over some time interval; this averaging is perfectly acceptable in some applications.
In a few cases, the time-dependent concentration itself can be estimated.
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These various methods involve the countrate, the time derivative of the countrate, the time integral of the countrate, and various combinations of these. The countrate is, as mentioned above, developed from the raw detector pulses by either an analog or digital ratemeter. The integrated counts are easily obtained simply by accumulating the pulses in a "scaler" or, in more modern implementations, in software.
Estimating the rate of change time derivative of the countrate is difficult to do with any reasonable precision, but modern digital signal processing methods can be used to good effect.
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It turns out that it is very useful to find the time integral of the concentration, as opposed to estimating the time-dependent concentration itself. It is essential to consider this choice for any CPAM application; in many cases the integrated concentration is not only more useful in a radiological protection sense, but is also more readily accomplished, since estimating a concentration in more or less real-time is difficult. Then, for a fixed-filter monitor, assuming a constant stack and monitor flowrate, it can be shown that [22]. This approach was implemented at the SM-1 Nuclear Power Plant in the late s, for estimating the releases of episodic containment purges, with a predominant, and strongly time-varying, nuclide of 88 Rb.
A similar equation applies for the occupational exposure situation, replacing the stack flowrate with a worker's breathing rate. An interesting subtlety to these calculations is that the time in the CPAM response equations is measured from the start of a concentration transient, so that some method of detecting the resulting change in a noisy countrate must be developed. Again, this is a good application for statistical signal processing [24] that is made possible by the use of computing power in modern CPAMs.
Which of these 11 methods to use for the applications discussed previously is not especially obvious, although there are some candidate methods that logically would be used in some applications and not in others. For example, the response time of a given CPAM quantitative method may be far too slow for some applications, and perfectly reasonable for others. The methods have varying sensitivities detection capabilities; how small a concentration or quantity of radioactivity can reliably be detected as well, and this must enter into the decision.
The calibration of a CPAM usually includes: This sensitivity is often called the minimum detectable concentration or MDC, assuming that a concentration is the quantity estimated by the selected quantitative method. This variability is measured using the standard deviation ; care must be taken to account for bias in this estimate due to the autocorrelation of the sequential monitor readings. The autocorrelation bias can make the calculated MDC significantly smaller than is actually the case, which in turn makes the monitor appear to be capable of reliably detecting smaller concentrations than it in fact can.
An uncertainty analysis for the estimated quantity concentration, release, uptake is also part of the calibration process.
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Other performance characteristics can be part of this process, such as estimating response time, estimating the effect of temperature changes on the monitor response, and so on. Although the United States Nuclear Regulatory Commission permits the use of the units curie , rad , and rem alongside SI units, [25] the European Union European units of measurement directives required that their use for "public health From Wikipedia, the free encyclopedia. The examples and perspective in this article deal primarily with the United States and do not represent a worldwide view of the subject.
You may improve this article , discuss the issue on the talk page , or create a new article , as appropriate. July Learn how and when to remove this template message. US Nuclear Regulatory Commission. Retrieved 19 May Background radiation Dosimetry Health physics Ionizing radiation Internal dosimetry Radioactive contamination Radioactive sources Radiobiology.
Airborne radioactive particulate monitoring Dosimeter Geiger counter Ion chamber Scintillation counter Proportional counter Semiconductor detector Survey meter Whole-body counting. Lead apron Glovebox Potassium iodide Radon mitigation Respirators.
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Airborne particulate radioactivity monitoring
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Maiello innbundet , Engelsk, Fri frakt for privatpersoner. Although the field of radioactive air sampling has matured and evolved over decades, it has lacked a single resource that assimilates technical and background information on its many facets. Edited by experts and with contributions from top practitioners and researchers, Radioactive Air Sampling Methods provides authoritative guidance on measuring airborne radioactivity from industrial, research, and nuclear power operations, as well as naturally occuring radioactivity in the environment. Determination of Carbon14 in Air.
Chapter 9 Behavior of Radon and its Decay Products. Chapter 11 Basic Air Sampling Equipment. Chapter 12 Calibration of Air Samplers and Monitors. Nonroutine Radioactive Air Sampling. Method 6 Determination of the Iodine Content of the Atmosphere. Determination of the Rn Content of the Atmosphere. Personal Air Sampling for Particulate Radioactivity.
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