@article{Lima Flores_Palomino-Merino_Castano_Espinosa_2020, title={Analysis of Indoor Radon Distribution Within a Room By Means of Computational Fluid Dynamics (CFD) Simulation}, volume={7}, url={https://jnp.chitkara.edu.in/index.php/jnp/article/view/207}, DOI={10.15415/jnp.2020.72010}, abstractNote={<p>Radon gas is recognized by international organizations such as the United States Environmental Protection Agency (US-EPA) as the main contributor of radiation environmental to which human beings are exposed. Therefore, the evaluation of indoor radon concentration is a matter of public interest. The emanation and the income of the gas inside a room will generate a negative impact on the quality of the air when the place is not properly ventilated. Understanding how this gas will be distributed inside the room will allow to predict the spatial and temporal variations of radon levels and identify these parameters will provide important information that researchers can be used for calculate radiation dose exposure. Consequently, this studies can prevent a health risk for the people that live or work within the room. Currently, several researchers use the technique called Computational Fluid Dynamics (CFD) to simulate the distribution of gas radon, making use of the various commercial programs that exist in the market. In this work, three simulations were developed in rooms that have a similar geometry but different dimensions, in order to observe how the gas is distributed inside a closed space and to analyze how this distribution varies when the volume of the place is increased. The results show that as the volume of the site increases the radon is mitigated more rapidly and therefore has lower levels of concentration of this gas, as long as the level of radon emanation is kept constant.</p>}, number={2}, journal={Journal of Nuclear Physics, Material Sciences, Radiation and Applications}, author={Lima Flores, A. and Palomino-Merino, R. Palomino-Merino and Castano, V. M. and Espinosa, G.}, year={2020}, month={Feb.}, pages={89–95} }