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Experimental Investigation of Air Quality in a Subway Station with Fully Enclosed Platform Screen Doors

In this study, the indoor air quality (IAQ) was investigated in a subway station with fully enclosed platform screen doors in Beijing, China. Eight indoor air pollutants, including PM(2.5), PM(10), SO(2) (sulfur dioxide), NO(2) (nitrogen dioxide), NH(3) (ammonia), CO (carbon monoxide), CH(2)O (forma...

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Detalles Bibliográficos
Autores principales: Pang, Liping, Yang, Chenyuan, Cao, Xiaodong, Tian, Qing, Li, Bo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7400133/
https://www.ncbi.nlm.nih.gov/pubmed/32707686
http://dx.doi.org/10.3390/ijerph17145213
Descripción
Sumario:In this study, the indoor air quality (IAQ) was investigated in a subway station with fully enclosed platform screen doors in Beijing, China. Eight indoor air pollutants, including PM(2.5), PM(10), SO(2) (sulfur dioxide), NO(2) (nitrogen dioxide), NH(3) (ammonia), CO (carbon monoxide), CH(2)O (formaldehyde) and TVOC (total volatile organic compound), were measured for six consecutive days in October 2019. The results indicated that the IAQ in the subway station was basically stable at good levels for most times during the whole measurement period. All eight indoor air pollutants were far below their corresponding maximum allowable concentrations, except for the PM(2.5) concentrations, which occasionally exceeded the concentration limits. The concentrations of indoor air pollutants in the subway station were basically within the corresponding standards. The correlation analyses showed that outdoor air pollutants have important influences on indoor air pollutants. The concentrations of PM(10), PM(2.5), SO(2), NO(2) and CO in the subway station were positively correlated with their corresponding outdoor concentrations. PM(10) was statistically significantly correlated with the passenger flow and train frequency, but the other air pollutants were less impacted by the passenger flow and train frequency.