In Fig. 7a and b, the data points represent the station/train intensive campaign average of the 7 days of sampling for each station and inside the train for the subway line and light-rail line, respectively. Since it was previously established that the two microenvironments have a common source of PM, a linear regression was performed for both the station and train data points.
The high correlation (R2 = 0.89) for the subway line scatter plot (Fig. 7a) indicates that PM2.5 and coarse PM have a common origin from attributed metallic components of PM to originate from the friction of the wheels on the steel rails, the vaporization of metals due to sparking, wear of brakes, and particulate resuspension and dispersion from train and passenger movement. The upcoming chemical analysis of fine and coarse PM will help determine the degree to which the aforementioned sources may contribute to PM exposure in the underground environment.
In Fig. 7a and b, the data points represent the station/train intensive campaign average of the 7 days of sampling for each station and inside the train for the subway line and light-rail line, respectively. Since it was previously established that the two microenvironments have a common source of PM, a linear regression was performed for both the station and train data points. The high correlation (R2 = 0.89) for the subway line scatter plot (Fig. 7a) indicates that PM2.5 and coarse PM have a common origin from attributed metallic components of PM to originate from the friction of the wheels on the steel rails, the vaporization of metals due to sparking, wear of brakes, and particulate resuspension and dispersion from train and passenger movement. The upcoming chemical analysis of fine and coarse PM will help determine the degree to which the aforementioned sources may contribute to PM exposure in the underground environment.
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