Modeling Exposure Close to Air Pollution Sources in Naturally Ventilated Residences: Association of Turbulent Diffusion Coefficient with Air Change Rate

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• 作者：Kai-Chung Cheng ; Viviana Acevedo-Bolton ; Ruo-Ting Jiang ; Neil E. Klepeis ; Wayne R. Ott ; Oliver B. Fringer ; Lynn M. Hildemann
• 刊名：Environmental Science & Technology
• 出版年：2011
• 出版时间：May 1, 2011
• 年：2011
• 卷：45
• 期：9
• 页码：4016-4022
• 全文大小：892K
• 年卷期：v.45,no.9(May 1, 2011)
• ISSN：1520-5851

文摘

For modeling exposure close to an indoor air pollution source, an isotropic turbulent diffusion coefficient is used to represent the average spread of emissions. However, its magnitude indoors has been difficult to assess experimentally due to limitations in the number of monitors available. We used 30鈭?7 real-time monitors to simultaneously measure CO at different angles and distances from a continuous indoor point source. For 11 experiments involving two houses, with natural ventilation conditions ranging from <0.2 to >5 air changes per h, an eddy diffusion model was used to estimate the turbulent diffusion coefficients, which ranged from 0.001 to 0.013 m² s^鈭?. The model reproduced observed concentrations with reasonable accuracy over radial distances of 0.25鈭?.0 m. The air change rate, as measured using a SF₆ tracer gas release, showed a significant positive linear correlation with the air mixing rate, defined as the turbulent diffusion coefficient divided by a squared length scale representing the room size. The ability to estimate the indoor turbulent diffusion coefficient using two readily measurable parameters (air change rate and room dimensions) is useful for accurately modeling exposures in close proximity to an indoor pollution source.