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 is the most harmful natural contaminant in the indoor atmosphere of the buildings. The noble gas, after cigarette smoke, is the biggest cause of lung cancer, and today the study of its diffusion, distribution, and concentration around the world has attracted many researchers in the field of radiation protection and environmental health. Typically, output data obtained from traditional methods of measuring radon concentration in indoor buildings is limited to information on the average radon concentration. Although these data are highly valuable in identifying buildings with a high risk of radon, it can be misleading to identify the real danger for residents of these buildings. This study aims to investigate the effects of water temperature and water flow rate on radon concentration and distribution inside the showers. Numerical simulations were conducted using CFD. Also, radon concentration in water was determined by the radon detector AlphaGUARD and is used as input in CFD simulation. The results showed that variations in the water flow rate have more influence on radon distribution than the changes in water temperature. Experiments were performed by measuring radon concentrations at different times in the shower room using monitor Radon Scout Plus. The annual effective dose of radon concentration in the shower room was also investigated.
Human exposure to radon indoor air has become a great concern. Using the Computational Fluid Dynamics (CFD) technique, we investigated the efficiency of ventilation systems for indoor radon reduction. In order to optimize ventilation for the bathroom, we applied the impact of ventilation on radon distribution in the bathroom, in which we characterized airflow and radon level regulation in the ventilated space. Radon Scout Plus is used to measure radon amounts in the bathroom as part of the validation process. The simulation results are consistent with the experimental outcomes. In addition, the annual effective dosage of Radon in the bathroom has been calculated.
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