Millions of citizens in Seoul use the subway as a mean of transportation to go to work or move from someplace to the other per a day. There are high emissions of air pollutants from cars and some other air-pollutant resources in Seoul. Since many individuals usually spend most of their working hours indoors, the ambient air quality refers to indoor air quality. In particular, PM10 concentration in the underground areas should be monitored to preserve the health of commuters and workers in the subway system. Seoul Metro measures several air pollutants regularly. In this study, the possibility of the installing cost reduction will be shown through using the linear regression method to be improved in the accuracy between the measuring data of Airtest PM2500 and Grimm.
PM10(Particle Matter 10), Linear regression analysis, Subway station, Air quality measurement
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