Abstract This study analyzes 4 years of continuous measurements of soil-to-atmosphere fluxes of CO 2 and 222 Rn, focusing on their concentrations in soil and atmosphere as well as exhalation rates. The relationships among Rn flux, CO 2 flux, and various environmental factors were studied. Measurements were conducted at a single site to minimize the influence of soil properties and concentrate only on meteorological effects. Statistical and machine learning techniques were applied to evaluate the relationships between meteorological variables and CO 2 and 222 Rn fluxes. The results provide insights into the complex relationships between radon flux, CO 2 flux, and their influencing factors, contributing to a better understanding of the application of radon-based methods (radon tracer and radon calibrated method), as well as their limitations. The study shows that while radon flux is relatively stable and weakly influenced by environmental conditions, CO 2 flux exhibits strong daily and seasonal variability, tightly controlled by soil temperature, moisture, and biological activity.
Eckertová et al. (Tue,) studied this question.