Mechanisms and Modeling Approaches of Radon Emanation for Natural Materials

Sakoda, Akihiro; Ishimori, Yuu

doi:10.5453/jhps.52.296

Cited by 12 publications

(3 citation statements)

References 52 publications

(23 reference statements)

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“…The value obtained for the SURF dust in this way is a factor of 430 smaller than observation for the spherical model. For more complicated models, factors influencing radon emanation include how radium is distributed throughout the grain, whether the grains are isolated (single grain) or reside in bulk (multigrain), the shape and texture of the grains, water content, and temperature [25][26][27][28].…”

Section: Resultsmentioning

confidence: 99%

Radon emanation from dust of varying composition and size

Meng¹,

Busenitz²,

Piepke³

et al. 2022

J. Inst.

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222Rn emanating from environmental dust constitutes an important background component for many low-energy, low-rate experiments. Radon emanation rates from dust and rock, thus, are important for experiment planning. In this paper, we report measured radon emanation fractions for five types of dry dust differing in grain size and composition. These data were obtained by a novel technique in γ-spectroscopy, measuring emanated and non-emanated 222Rn progeny activities as well as the parent 226Ra activity in a time series. The range of observed radon emanation fractions is (3.7 ± 2.0)% to (16.2 ± 0.9)%. Four of the five samples are standardized samples available commercially, so additional investigations of these samples may be readily carried out.

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Section: Resultsmentioning

confidence: 99%

Radon emanation from dust of varying composition and size

Meng¹,

Busenitz²,

Piepke³

et al. 2022

J. Inst.

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“…Once the radon atoms reach the surface, they can be exhaled from the material (see e.g. [5]). These radon atoms and their progeny can be collected inside a radon exhalation chamber for several half-lives of the 222 Rn and then counted directly with a radon detector (e.g.…”

Section: Pos(taup2023)303mentioning

confidence: 99%

Low Background Measurement Program at SNOLAB

Lawson

2023

Proceedings of XVIII International Conference on Topics in Astroparticle and Underground Physics — PoS(TAUP2023)

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Experiments studying rare event searches, such as dark matter interactions and neutrinoless double beta decay, require ultra-low levels of radioactive backgrounds in their own construction materials, shielding and in the surrounding environment. As the next generation of experiments are becoming even more sensitive, material selection has become one of the most crucial components of the design process for these experiments to reduce these backgrounds to be as low as reasonably achievable. The SNOLAB low background counting program has developed several different methods to directly measure these experimental backgrounds. This proceedings will review the low background measurement facilities at SNOLAB currently used to measure these backgrounds, describe the data analysis techniques and present the capabilities of these detectors. Furthermore, plans and options to expand these facilities will be discussed and a program to measure environmental backgrounds at the SNOLAB underground laboratory will be described.

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“…An overview is given e.g. by Nazaroff (1992) or recently by Sakoda and Ishimori (2017). Many investigators have observed that low soil water content promotes exhalation while abundant wetness depresses the exhalation (Schery et al, 1989;Stranden et al, 1984;Zhuo et al, 2006).…”

Section: Introductionmentioning

confidence: 99%

Modeling of radon exhalation from soil influenced by environmental parameters

Yang

Busen

Scherb

et al. 2019

Science of The Total Environment

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Atmospheric radioactive noble gas radon (Rn-222) originates from soil gas exhaled in the atmospheric surface layer. Radon exhalation rates from soil as well as corresponding meteorological and soil parameters were recorded for two subsequent years. Based on long-term field data, a statistical regression model for the radon exhalation and the most important influencing parameters soil water content, temperature of soil and air, air pressure and autocorrelation of the exhalation rate was established. The fitting result showed that the multivariate model can explain up to 61% of the variation of the exhalation rate. First, the exhalation rate increases up to 80 Bq m-2 h-1 with increasing soil water content. Later, at water content >10%, increasing soil wetness suppressed the exhalation rate: at values higher than 24% to approximately one third. The air temperature had a distinct positive effect while the soil temperature had a strong negative effect on the exhalation rate, indicating their different influencingmechanisms on the exhalation. The air pressure was negligible. The lagged values of radon exhalation had to be included in the model, as the variable shows strong autocorrelation.

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Mechanisms and Modeling Approaches of Radon Emanation for Natural Materials

Cited by 12 publications

References 52 publications

Radon emanation from dust of varying composition and size

Radon emanation from dust of varying composition and size

Low Background Measurement Program at SNOLAB

Modeling of radon exhalation from soil influenced by environmental parameters

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