Chauhan Neetika, Chauhan R P, Joshi M, Agarwal T K, Aggarwal Praveen, Sahoo B K
Department of Physics, National Institute of Technology, Kurukshetra 136119, India.
Department of Physics, National Institute of Technology, Kurukshetra 136119, India.
J Environ Radioact. 2014 Oct;136:105-11. doi: 10.1016/j.jenvrad.2014.05.020. Epub 2014 Jun 14.
Measurement and/or prediction of indoor radon ((222)Rn) concentration are important due to the impact of radon on indoor air quality and consequent inhalation hazard. In recent times, computational fluid dynamics (CFD) based modeling has become the cost effective replacement of experimental methods for the prediction and visualization of indoor pollutant distribution. The aim of this study is to implement CFD based modeling for studying indoor radon gas distribution. This study focuses on comparison of experimentally measured and CFD modeling predicted spatial distribution of radon concentration for a model test room. The key inputs for simulation viz. radon exhalation rate and ventilation rate were measured as a part of this study. Validation experiments were performed by measuring radon concentration at different locations of test room using active (continuous radon monitor) and passive (pin-hole dosimeters) techniques. Modeling predictions have been found to be reasonably matching with the measurement results. The validated model can be used to understand and study factors affecting indoor radon distribution for more realistic indoor environment.
由于氡对室内空气质量的影响以及随之而来的吸入危害，测量和/或预测室内氡（(222)Rn）浓度非常重要。近年来，基于计算流体动力学（CFD）的建模已成为预测和可视化室内污染物分布的实验方法的经济有效替代方案。本研究的目的是实施基于CFD的建模来研究室内氡气分布。本研究重点比较了模型测试房间中氡浓度的实验测量值和CFD建模预测的空间分布。作为本研究的一部分，测量了模拟的关键输入，即氡析出率和通风率。通过使用主动（连续氡监测仪）和被动（针孔剂量计）技术测量测试房间不同位置的氡浓度来进行验证实验。已发现建模预测与测量结果合理匹配。经过验证的模型可用于理解和研究影响更实际室内环境中室内氡分布的因素。
