AI Article Synopsis

  • Radon (Rn-222) is a radioactive noble gas that is released from soil into the atmosphere, and its exhalation rates were measured over two years alongside various meteorological and soil conditions.
  • A statistical regression model was developed that explained about 61% of the variation in radon exhalation based on four key parameters: soil water content, air and soil temperature, and air pressure, with the model showing that water content significantly impacts exhalation rates.
  • Results indicated that while increased soil water content initially raises the radon exhalation rate, excessive moisture leads to a decrease; furthermore, air temperature positively affects exhalation whereas soil temperature negatively impacts it, and the model required consideration of lagged exhalation values

Article Abstract

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 h 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 influencing-mechanisms 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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Source
http://dx.doi.org/10.1016/j.scitotenv.2018.11.464DOI Listing

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