DOI: 10.1016/j.atmosenv.2015.02.024
Scopus记录号: 2-s2.0-84922514775
论文题名: Predicting self-pollution inside school buses using a CFD and multi-zone coupled model
作者: Li F ; , Lee E ; S ; , Liu J ; , Zhu Y
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2015
卷: 107 起始页码: 16
结束页码: 23
语种: 英语
英文关键词: Coupled model
; Exposure mitigation
; School bus
; Self-pollution
Scopus关键词: Air pollution
; Computational fluid dynamics
; Indoor air pollution
; Pollution
; Coupled modeling
; Exposure mitigation
; Policy recommendations
; Pollutant concentration
; Pollution concentration
; Relative contribution
; School bus
; Self pollutions
; Buses
; atmospheric pollution
; child health
; computational fluid dynamics
; concentration (composition)
; data set
; exhaust emission
; health risk
; numerical model
; policy making
; air pollutant
; air pollution
; Article
; conceptual framework
; exhaust gas
; motor vehicle
; priority journal
; school
; temperature
; velocity
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: The in-cabin environment of a school bus is important for children's health. The pollutants from a bus's own exhaust contribute to children's overall exposure to air pollutants inside the school bus cabin. In this study, we adapted a coupled model originally developed for indoor environment to determine the relative contribution of the bus own exhaust to the in-cabin pollutant concentrations. The coupled model uses CFD (computational fluent dynamics) model to simulate outside concentration and CONTAM (a multi-zone model) for inside the school bus. The model was validated with experimental data in the literature. Using the validated model, we analyzed the effects of vehicle speed and tailpipe location on self-pollution inside the bus cabin. We confirmed that the pollution released from the tailpipe can penetrate into the bus cabin through gaps in the back emergency door. We found the pollution concentration inside school buses was the highest when buses were driven at a medium speed. In addition, locating the tailpipe on the side, behind the rear axle resulted in less self-pollution since there is less time for the suction effect to take place. The developed theoretical framework can be generalized to study other types of buses. These findings can be used in developing policy recommendations for reducing human exposure to air pollution inside buses. © 2015. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/81940
Appears in Collections: 气候变化事实与影响
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作者单位: Tianjin Key Lab of Indoor Air Environmental Quality Control, School of Environmental Science and Engineering, Tianjin University, Tianjin, China; Department of Environmental Health Sciences, Jonathan and Karin Fielding School of Public Health, University of California, Los Angeles, CA, United States
Recommended Citation:
Li F,, Lee E,S,et al. Predicting self-pollution inside school buses using a CFD and multi-zone coupled model[J]. Atmospheric Environment,2015-01-01,107