A mathematical description of the diurnal variation of radon progeny

Seftelis, I.; Nicolaou, G.; Tsagas, N.

doi:10.1016/j.apradiso.2007.07.006

Cited by 7 publications

(6 citation statements)

References 8 publications

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“…Significant positive correlations for all classes of atmospheric stability are observed between the volume activity of the radon products and the relative moisture content of the air [9]; this is explained by an increase of their rate of attachment to aerosol particles with increasing relative humidity. Measurements performed with a spectrometer with a 75 × 75 mm NaI(Tl) crystal established that the integral wind speed is correlated with the ratio H/T, where H is the relative humidity, and T is the air temperature.…”

Section: Effect Of the Meteorological Parameters In The Operation Of mentioning

confidence: 81%

“…Measurements performed with a spectrometer with a 75 × 75 mm NaI(Tl) crystal established that the integral wind speed is correlated with the ratio H/T, where H is the relative humidity, and T is the air temperature. The variations of the counting rate follow their behavior but the maximum of the intensity curve is shifted by 1-2 h relative to the variations of H/T [9].…”

Section: Effect Of the Meteorological Parameters In The Operation Of mentioning

confidence: 90%

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Detection of technogenic radionuclides at low concentrations when monitoring nuclear power plant emissions using an arms spectrometric channel

2010

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The application of statistical algorithms in the problem of early detection of technogenic, nuclear power plant emissions in the atmosphere near the ground by means of the spectrometric channel of ARMS (Automatic Radiation Monitoring System) is examined. It is noted that the changes in the radon progeny content which are associated with the diurnal behavior of the intensity of turbulent mixing influence the variance of the readings in the 131 I and 137 Cs detection ranges. As a result, when a stationary Poisson model is used in the algorithm the number of false alarms increases and the algorithm becomes ineffective. Regional corrections lowering the probability of false alarms to ≤10 -3 with correct detection probability ≥0.7 were introduced into the detection and classification algorithm on the basis of the results of monitoring performed over the course of a year for intervals with stationary γ background.When the ARMS (Automatic Radiation Monitoring System) spectrometric channel is used for early detection of nuclear power plant emissions, technogenic radionuclides at low concentrations must be detected with a definite reliability in real-time. Ordinarily, the lowest measurable activity, determined by the background conditions in the monitoring zone and the method and means for performing the measurements, is taken as the conventional boundary between the detection and measurement processes. Our assessments have shown that a gamma spectrometer with a 63 × 63 mm NaI(Tl) crystal with exposure time 15 min can be used for quantitative measurements of 131 I and 137 Cs provided that their volume activity ≥8 Bq/m 3 , i.e., starting at values 2-3 times lower than the admissible volume activity AVA PUBLIC according to . Statistical algorithms for processing the spectrometric information make it possible to detect 131 I and 137 Cs with probability ≥0.7 at concentrations concentration 2-3 Bq/m 3 , which expands the possibility of using the ARMS spectrometric channel for monitoring nuclear power plant emissions. In what follows, the term "detection" is used precisely in this probabilistic sense, since, for example, according to Rosgidromet normative documents the detection of a radionuclide not present in the global radiation background is taken as a level of detection two times above the minimum measurable activity of the radionuclide for the apparatus being using [2].The concept of the minimum detectable volume activity can be introduced as a characteristic of the spectrometric channel for detecting technogenic radionuclides at low concentrations under background conditions in the ARMS monitoring zone. It can be determined as the volume activity which is detected by the algorithm used for processing the spectrometric information with probability of correct detection P c.d and false-alarm probability P f.a established for the given ARMS.

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Section: Effect Of the Meteorological Parameters In The Operation Of mentioning

confidence: 81%

Section: Effect Of the Meteorological Parameters In The Operation Of mentioning

confidence: 90%

Detection of technogenic radionuclides at low concentrations when monitoring nuclear power plant emissions using an arms spectrometric channel

2010

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“…Although, in the last decade a vast number of experimental evidence has been offered about this issue (Choubey et al, 2011;Barbosa et al, 2010;Kamra et al, 2013), we still have no enough knowledge about insights of the influence of the indoor air parameters on the 222 Rn concentration variability. One of the reasons for that is nonlinearity of these dependences, which can not be elaborated by the traditional mathematical methods (Seftelis et al, 2008). Thus, it seems that the complexity analysis offers more quantitative measures in explanation this phenomenon.…”

Section: Results and Disscusionmentioning

confidence: 99%

“…However, if we claim to get more insight we have to apply the comprehensive mathematical procedures in analysis of those time series. Thus, illustrative examples for that kind of approach are papers by Negarestani et al (2003) and Seftelis et al (2008). Negarestani et al (2003) have proposed a new method based on adaptive linear neuron to estimate the radon concentration in soil associated with the environmental parameters.…”

Section: Analysis Of 222 Rn Concentration Time Series Is An Importantmentioning

confidence: 99%

“…Negarestani et al (2003) have proposed a new method based on adaptive linear neuron to estimate the radon concentration in soil associated with the environmental parameters. Seftelis et al (2008) have developed a mathematical function to describe the diurnal variation of radon progeny. Our intention is to offer a a complexity measure based method for establishing the dependance of 222 Rn concentration time series on indoor environmental parameters.…”

Section: Analysis Of 222 Rn Concentration Time Series Is An Importantmentioning

confidence: 99%

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A complexity measure based method for studying the dependance of 222Rn concentration time series on indoor air temperature and humidity

Mihailoviĉ

Udovičić

Krmar

et al. 2014

Applied Radiation and Isotopes

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We have suggested a complexity measure based method for studying the dependence of measured (222)Rn concentration time series on indoor air temperature and humidity. This method is based on the Kolmogorov complexity (KL). We have introduced (i) the sequence of the KL, (ii) the Kolmogorov complexity highest value in the sequence (KLM) and (iii) the KL of the product of time series. The noticed loss of the KLM complexity of (222)Rn concentration time series can be attributed to the indoor air humidity that keeps the radon daughters in air.

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The diurnal monitoring of the air radioactivity using portable instrumentation

Nicolaou

2009

J Radioanal Nucl Chem

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A mathematical description of the diurnal variation of radon progeny

Cited by 7 publications

References 8 publications

Detection of technogenic radionuclides at low concentrations when monitoring nuclear power plant emissions using an arms spectrometric channel

Detection of technogenic radionuclides at low concentrations when monitoring nuclear power plant emissions using an arms spectrometric channel

A complexity measure based method for studying the dependance of 222Rn concentration time series on indoor air temperature and humidity

The diurnal monitoring of the air radioactivity using portable instrumentation

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