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초록

PM2.5 has been considered as a major air pollutant due to its adverse effects on
human health and environment, as well as the difficulties in its management. To
evaluate the performance of automated PM2.5 samplers used in ambient air monitoring
sites in Korea, equivalence evaluation was carried out on 5 models(4 manufacturers) for
11 months. All of the 5 models showed seasonal variation to different degrees. The
model D of the combined beta-ray attenuation and light scattering methods with a smart
heater showed the best equivalence, while the other models using beta-ray attenuation
methods showed partial equivalence with the reference method. The models A and B,
equipped with a fixed temperature heater in the sampling line, showed higher seasonal
variation than models C and D, which were equipped with a smart heater(RH control).
Seasonal variation leading to overestimation in summer and underestimation in winter
was related to the accumulation of moisture on the particulate matters trapped on the
filter, which was affected by the absolute humidity and temperature of the ambient air.
Therefore, when PM2.5 auto samplers using beta attenuation are calibrated and evaluated,
variations in seasonal measuring properties should be considered.
PM2.5 has been considered as a major air pollutant due to its adverse effects on
human health and environment, as well as the difficulties in its management. To
evaluate the performance of automated PM2.5 samplers used in ambient air monitoring
sites in Korea, equivalence evaluation was carried out on 5 models(4 manufacturers) for
11 months. All of the 5 models showed seasonal variation to different degrees. The
model D of the combined beta-ray attenuation and light scattering methods with a smart
heater showed the best equivalence, while the other models using beta-ray attenuation
methods showed partial equivalence with the reference method. The models A and B,
equipped with a fixed temperature heater in the sampling line, showed higher seasonal
variation than models C and D, which were equipped with a smart heater(RH control).
Seasonal variation leading to overestimation in summer and underestimation in winter
was related to the accumulation of moisture on the particulate matters trapped on the
filter, which was affected by the absolute humidity and temperature of the ambient air.
Therefore, when PM2.5 auto samplers using beta attenuation are calibrated and evaluated,
variations in seasonal measuring properties should be considered.