Theoretical analysis of particle deposition in human lungs considering stochastic variations of airway morphology |
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| Affiliation: | 1. College of Atmospheric Sciences, Key Laboratory of Arid Climatic Change and Reducing Disaster of Gansu Province, Lanzhou University, Lanzhou 730000, China;2. Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, Chengdu University of Information Technology, Chengdu 610225, China;3. State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China;1. Indian Institute of Astrophysics, 2nd Block Koramangala, Bangalore 560034, India;2. Center for Environmental Remote Sensing, Chiba University, 1-33 Yayoi-cho, Chiba 263-8522, Japan;3. School of Earth and Environmental Sciences, Seoul National University, Seoul, South Korea;1. Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China;2. University of Chinese Academy of Sciences, Beijing 100049, China;3. Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China;4. Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China |
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| Abstract: | Particle deposition in human lungs was investigated theoretically considering a stochastic variation of airway morphology using a Monte Carlo method. In computing the total and regional deposition each airway generation was divided into infinitesimal volume segments and each volume segment was allowed to pass through randomly selected airway branches of which morphology (e.g., airway dimensions and branching angle) was varied randomly. Deposition values obtained by the Monte Carlo method were compared with those obtained by the traditional deterministic method. It was found that the Monte Carlo method predicted deposition values generally comparable to those predicted by deterministic method for sub-micron size particles. However, for micron size particles the Monte Carlo method provided greater deposition values in the proximal airway regions where deposition occurs mainly by inertial impaction. The difference could be attributed to the non-linear relationship between deposition efficiency and airway dimensions in the inertial deposition regime. The results suggest that a Monte Carlo method may be a useful tool for evaluating deposition of inhaled particles in the lungs with a wide variation of airway dimensions. |
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