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Radon and its descendants are the main causes of lung cancer in non-smokers. Therefore, the study of the behavior of radon and its descendants in indoor air is of the highest importance, in ordre to limit the risk of radiation dose due to inhalation of indoor air by members of the public. This article focuses to study the effect of meteorological parameters on the concentration and distribution of radon and its descendants inside a traditional Hammam by using CFD simulation. The results of modeling are qualitative and show that the concentration and distribution of radon and its descendants decrease when the ventilation rate increases, as well as, as the temperature increases; however, it increases with the increase relative humidity. Moreover, the committed equivalent doses due to 218 Po and 214 Po radon short-lived progeny were evaluated in different tissues of the respiratory tract of the members of the public from the inhalation of air inside the traditional Hammam. The influence of the activity of 218 Po and 214 Po and mass of the tissue on the committed equivalent doses per hour of exposure was investigated. The annual effective dose due to radon short-lived progeny from the inhalation of air inside the traditional Hammam by the members of the public was investigated.

Radon natural is the main cause of lung cancer in non-smokers. Therefore, the study of the behavior of radon and its descendants in indoor air is of the highest importance, in order to limit the risk of radiation dose due to inhalation of radon by members of the public. This article focuses to study the effects of meteorological parameters on the concentration and distribution of radon in a traditional hammam by both numerical simulations and experiments. The results of the numerical simulations are qualitative and show that the concentration and distribution of radon decrease when the ventilation rate increase, as well as, when the temperature increases, however, it increases with the increase in relative humidity. The results obtained by the numerical simulations were in agreement with those obtained experimentally with a maximum deviation of 7%. Numerical simulations allow a better estimate of the distribution of radon in indoor air.

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