Daily and seasonal radon variability in the underground low-background laboratory in Belgrade, Serbia

Udovičić, V.; Filipović, Jelena; Dragić, A.; Banjanac, R.; Joković, D.; Maletić, D.; Grabež, B.; Veselinović, N.

doi:10.1093/rpd/ncu109

Cited by 9 publications

(7 citation statements)

References 8 publications

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“…In addition, the difference between the inside and outside temperature of the building is plotted. With every increase of the temperature difference an increase of the radon emission rate occurred, a similar behaviour that has been observed in [9] based on measurements of the radon concentration. A possible explanation of this effect could be that warm air from inside escaped through leaks in the attic and produced a negative pressure which forced the radon to exhale from the ground.…”

Section: Resultssupporting

confidence: 83%

Radon emission rate and analysis of its influencing parameters

et al. 2016

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The geological and structural conditions define the radon situation inside a building. While the geological realities can be specified by the content of radium-226 and the ratio of radon-222 emitted from the ground the structural conditions are defined by the tightness of the building envelope. The radon concentration inside has an unsteady character, which is caused by meteorological conditions outside and the air change rate (ACH or ACR), which in turn is influenced by the residents’ behaviour such as venting and heating. For the assessment of the radon exposition, it is necessary to perform measurements for a long time. An approach to reduce this time by eliminating the inhabitants influence on the radon concentration is the radon emission rate, also known as radon entry rate. This variable is based on the measurement of the radon concentration and the parallel determination of the air change rate via a tracer gas method, the result expresses a released activity per time. Due to their noisy character, it is necessary to apply a smoothing algorithm to the input parameters. In addition to mean values, the use of window functions, known from digital signal processing, was analysed. For the verification of the whole calculation procedure, simulations and measurements under defined conditions were used. Furthermore, measurements in an uninhabited house showed proof of the capability of the assessment of the radon potential. First examinations of influencing parameters of the radon emission rate showed a possible dependence on the temperature difference inside and outside the building.

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Section: Resultssupporting

confidence: 83%

Radon emission rate and analysis of its influencing parameters

et al. 2016

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“…Also, the results show very low radon level on the fi rst fl oor (well below the outdoor values) in the apartment. In such sense, we performed test intercomparison radon measurements for two active devices SN1029 and SN1030 in well-defi ned and controlled radon atmosphere (radon concentration below 30 Bqm -3 ) in the Underground Low-background Laboratory in the Institute of Physics Belgrade [17,18]. Additional testing includes the same place and time of the measurements but different sampling time set to 1, 2, 4, 8 and 12 h. The results are shown in Table 3.…”

Section: Resultsmentioning

confidence: 99%

Radon variability due to floor level in two typical residential buildings in Serbia

et al. 2020

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AbstractIt is well known that one of the factors that influence the indoor radon variability is the floor level of the buildings. Considering the fact that the main source of indoor radon is radon in soil gas, it is expected that the radon concentration decreases at higher floors. Thus at higher floors the dominant source of radon is originating from building materials, and in some cases there may be deviations from the generally established regularity. In such sense, we chose one freestanding single-family house with loft and other 16-floor high-rise residential building for this study. The indoor radon measurements were performed by two methods: passive and active. We used passive devices based on track-etched detectors: Radtrak2 Radonova. For the short-term indoor radon measurements, we used two active devices: SN1029 and SN1030 (manufactured by Sun Nuclear Corporation). The first device was fixed in the living room at the ground level and the second was moved through the floors of the residential building. Every measuring cycle at the specified floor lasted seven days with the sampling time of 2 h. The results show two different indoor radon behaviours regarding radon variability due to floor level. In the single-family house with loft we registered intense difference between radon concentration in the ground level and loft, while in the high-rise residential building the radon level was almost the same at all floors, and hence we may conclude that radon originated mainly from building materials.

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“…Anyway, in this case study, it is possible to exclude the influence of the configuration of the monitoring station and the type of detector since these are identical in the four sites. The annual and semiannual cycles on radon signals have been correlated to the annual variation of the climatic variables (mainly the temperature) in relation to the solar annual and solar semiannual cycles (∼⃒365.2 and ∼⃒180 days and the lunar cycle ∼⃒29.5 days) (İnan et al., 2012; Udovičić et al., 2014). The occurrence of the same cycles in the cross‐wavelet power spectra of radon and the three climatic variables would confirm the direct relationships between radon and temperature.…”

Section: Discussionmentioning

confidence: 99%

Long‐Term Monitoring and Characterization of Soil Radon Emission in a Seismically Active Area

D’Alessandro

Scudero

Siino

et al. 2020

Geochem Geophys Geosyst

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Radon (222Rn) is a radioactive gas, which originates everywhere in rocks of Earth's crust through a process of natural decay of other radioactive elements. The monitoring of soil radon can be useful to address a multitude of geological and environmental issues. However, some difficulties arise when trying to use radon as earthquake precursor because the earthquake‐related anomaly cannot be easily and univocally discriminated from other anomalies of different origin. To explore the relationship between soil radon emission and seismicity, a local network is operating in southeastern Sicily (Italy). Its peculiarities are the uniform geological condition of the monitoring sites and the long data record with simultaneous measures of radon and the main climate variables. In this paper, we applied continuous wavelet transformation to a ≈ 3.5 years long soil radon time series to detect periodic variations. Results indicate the occurrence of cycles at annual, semiannual, and monthly periodicity, which are ascribable to the effects of the climatic‐environmental parameters. The periodic components have been modeled and the signal conveniently filtered. We show as the characterization of the long‐term behavior of radon signals is essential to recognize anomalies in radon emission, which can be related to geological/environmental phenomena. The methodology proposed in this work provides a reliable characterization of the radon time series and can be applied at various spatial/temporal scales, depending on the scientific objectives to be achieved. This approach can also represent the base for further analysis like the investigation of the modulation between the periodic components and short‐term forecasts.

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Daily and seasonal radon variability in the underground low-background laboratory in Belgrade, Serbia

Cited by 9 publications

References 8 publications

Radon emission rate and analysis of its influencing parameters

Radon emission rate and analysis of its influencing parameters

Radon variability due to floor level in two typical residential buildings in Serbia

Long‐Term Monitoring and Characterization of Soil Radon Emission in a Seismically Active Area

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