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Multi-zone modeling of size-resolved outdoor ultrafine particle entry into a test house
Link to Journal Abstract
Airborne particle entry into buildings is important for human exposure to particles and associated health effects. The present study investigated the entry of size-resolved outdoor ultrafine particles into a test building under three different ventilation scenarios using a multi-zone airflow and contaminant transport model. Simulations of the entry of outdoor ultrafine particles into a residential test building were performed and validated with measurement data. The study results show that accurate particle deposition and penetration inputs are required to predict the time-varying particle concentrations in buildings. For closed-window conditions, both deposition and penetration have significant effects on modeling UFP transport, while deposition is more important than penetration for open-window conditions. As the window opening area increases, the filtering effect of the building envelope decreases and more outdoor particles enter the building through window openings. The study results also show that the indoor–outdoor (I–O) concentration ratio is a strong function of particle size and building operating conditions. The comparison between measurements and prediction suggests that a multi-zone particle transport model can provide insight into particle entry into buildings under various weather and building operating scenarios.
The present study investigated the entry of size-resolved outdoor ultrafine particles into a test building under three different ventilation scenarios using a multi-zone airflow and contaminant transport model. Simulations of the entry of outdoor ultrafine particles into a residential test building were performed and validated with measurement data.
Peer Reviewed Journal Article
Exposure Or Hazard Target
Method Of Study
Material Analysis and Applications
Computational and System Modeling
Risk Exposure Group
Atmospheric Environment, 69: 219-230 (April 2013)
Rim D, Persily A, Emmerich S, Dols WS, Wallace L
Last updated on April 30, 2013
This work is supported in part by the Nanoscale Science and Engineering Initiative of the National Science Foundation
under NSF Award Number EEC-0118007.
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