This study aimed to evaluate the concentration of particulate matter less than 10 micrometers in diameter or less than 2.5micrometres in diameter (PM 10 and PM 2.5 ) in rural villages, and thus protect the health of elderly farmers, by using the air p...
This study aimed to evaluate the concentration of particulate matter less than 10 micrometers in diameter or less than 2.5micrometres in diameter (PM 10 and PM 2.5 ) in rural villages, and thus protect the health of elderly farmers, by using the air pollution monitoring network data based on the particulate matter forecast grade. The sampling sites selected included a farm-work environment and the village entrance in the Wanju-gun village. PM 10 and PM 2.5 were measured using a portable aerosol spectrometer (PAS). When the particulate matter forecast grade was good and normal, PM 10 and PM 2.5 monitoring were performed once every two weeks. When the forecast grades were poor and very poor, PM 10 and PM 2.5 monitoring was performed daily.
To compare the air pollution monitoring network data to the PM 10 and PM 2.5 levels measured at the sampling sites, the data were extracted from Air Korea. When the particulate matter forecast grade was poor, the concentration of PM 10 and PM 2.5 in the farm-work environment (80.1 ㎍/㎥, 54.1 ㎍/㎥) was the highest among all the sites (air pollution monitoring network: 78.8 ㎍/㎥, 41.4 ㎍/㎥, village entrance: 68.1 ㎍/㎥, 53.3 ㎍/㎥). Also, the concentration of PM 2.5 was significantly different between the sampling sites and the air pollution monitoring network during the sampling period (p=0.002). When the particulate matter forecast grade was poor, the sampling sites showed a higher PM 2.5 /PM 10 ratio (farm-work environment: 0.68, village entrance: 0.78) compared to the air pollution monitoring network (0.52). Based on these results, when the fine dust forecast is bad, farmers living in rural areas need to reconsider leaving their homes for farming or for any other activity. Also, it is essential to carry out particulate matter management in rural areas, including farm-work environments and residential areas.