2012
DOI: 10.1016/j.trd.2011.09.003
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PM10 concentrations and the size distribution of Cu and Fe-containing particles in Istanbul’s subway system

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Cited by 44 publications
(18 citation statements)
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“…By the contribution plot in variable mode, an abnormal condition of the weekday model was observed at around 3 h, which found that PM 2.5 and PM 10 were the most contributed variables. This means that PM 2.5 and PM 10 have a greater effect on the IAQ at that time, and should be controlled more precisely using ventilation or some other suitable methods. Figure 15 represents D 2 and SPE monitoring of the weekend model.…”
Section: Parafac Monitoringmentioning
confidence: 99%
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“…By the contribution plot in variable mode, an abnormal condition of the weekday model was observed at around 3 h, which found that PM 2.5 and PM 10 were the most contributed variables. This means that PM 2.5 and PM 10 have a greater effect on the IAQ at that time, and should be controlled more precisely using ventilation or some other suitable methods. Figure 15 represents D 2 and SPE monitoring of the weekend model.…”
Section: Parafac Monitoringmentioning
confidence: 99%
“…The periodic pattern of indoor air pollutants depends on several factors, such as the numbers of passengers and trains, and the preceding IAQ. In addition, there are strong correlations between several factors, since most subway systems adjust the train schedule based on the time slot, which depends on the number of passengers [2,10]. Kwon et al [11] reported that the weekday concentrations of PMs in the station platform were significantly larger than those present during weekends, due to the lower number of commuters and the reduced frequency of trains during the weekend.…”
Section: Introductionmentioning
confidence: 99%
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