Spatial Distribution of Fine Particulate Matter in Underground Passageways
作者： Xin-Yi Song , Qing-Chang Lu , Zhong-Ren Peng
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摘要: The unfavorable locations of underground infrastructures and poor ventilation facilities can result in the deterioration enclosed air quality. Some researchers have studied quality measures different types buildings. However, few studies investigated pollution pedestrian passageways connecting structures. Hence, this paper, we attempted to investigate spatial distribution fine particulate matter (PM2.5) passageways. First, measurements were designed conducted a passageway beneath Shanghai South Railway Station, Shanghai, China. Second, numerical simulations performed based on computational fluid dynamic (CFD) technology. Finally, extended examine impacts PM2.5 concentration with inlet positions velocity simulation results showed good agreement experimental data, model was validated be an effective method Results suggest that building additional entrances is advisable for improving while jet fans are not recommended. Findings study offer suggestions mitigating
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