Abstract
In this study, we attempted to calculate the extinction parameters of PM2.5 using images from a commercial camera. The photo pixels provided information on the characteristics of the objects (i.e., the reflectivity, transmittance, or extinction efficiency) and ambient brightness. Using the RGB values of pixels, we calculated the extinction coefficient and efficiency applied to the mass concentration of PM2.5. The calculated extinction coefficient of PM2.5 determined from the camera images had a higher correlation with the PM2.5 mass concentration (R2 = 0.7) than with the visibility data, despite the limited mass range. Finally, we identified that the method of calculating extinction parameters using the effective wavelength of RGB images could be applied to studies of changes in the atmosphere and aerosol characteristics. The mass extinction efficiency of PM2.5, derived from images, and the mass concentration of PM2.5 was (10.8 ± 6.9) m2 g−1, which was higher than the values obtained in Northeast Asia by previous studies. We also confirmed that the dry extinction efficiency of PM2.5, applied with a DRH of 40%, was reduced to (6.9 ± 5.0) m2 g−1. The extinction efficiencies of PM2.5, calculated in this study, were higher than those reported in previous other studies. We inferred that high extinction efficiency is related to changes in size or the composition of aerosols; therefore, an additional long-term study must be conducted.
Highlights
Atmospheric aerosols, one of the most critical pollutants suspended in the atmosphere, have received increasing attention owing to their adverse impacts on air quality and human health [1,2]
Suspended particulate matter with an aerodynamic diameter less than 2.5 μm (PM2.5 ) in atmospheric aerosols are more closely associated with adverse health effects than the larger particles
Where Di is the distance from the target object (i) to the camera, C1 is the light intensity of the target object itself, α is the average extinction coefficient between the target object and the camera, and C2 is the atmospheric scattering light scattered by the particulate matter
Summary
Atmospheric aerosols, one of the most critical pollutants suspended in the atmosphere, have received increasing attention owing to their adverse impacts on air quality and human health [1,2]. Suspended particulate matter with an aerodynamic diameter less than 2.5 μm (PM2.5 ) in atmospheric aerosols are more closely associated with adverse health effects than the larger particles. The 2006 World Health Organization Air Quality Guidelines recommended PM2.5 , rather than PM10 , as an indicator of air pollution from particulate matter, which has increasingly become a public concern worldwide [3]. Various remote sensing technologies, such as satellites, light detection and ranging (lidar), and sun photometers are used to measure the concentrations and distributions of particulate matter in the atmosphere as well as on the ground [5–8]. The lidar technique is a valuable active remote sensing device
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