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국내 AERONET 관측 현황과 장기간 에어로졸 광학 깊이의 변화 및 에어로졸 분포 분석
장성현,엄준식,Seonghyeon Jang,Junshik Um 한국기상학회 2024 대기 Vol.34 No.3
This study analyzed the distribution of Aerosol Robotic Network (AERONET) Version 3 Level 2.0 data, spanning over two decades, across South Korea and its six administrative regions (Seoul metropolitan area, Chungcheong, Jeolla, Gangwon, Gyeongsang, and Jeju). The research assessed long-term trends in aerosol optical depth (AOD) and mass concentration of particulate matter (i.e., PM<sub>10</sub> and PM<sub>2.5</sub>), using data from the AERONET direct sun product and AirKorea, respectively. Additionally, eight aerosol types were identified using the scattering Ångström exponent and absorption Ångström exponent from the AERONET inversion product. The study further explored their domestic and regional distributions. Findings indicated that AERONET data were predominantly concentrated in the western regions of South Korea, including the Seoul metropolitan area, Chungcheong, and Jeolla, with a higher frequency of data in spring, thus demonstrating spatial and temporal heterogeneity. The annual average AOD exhibited a declining trend of -0.006 yr<sup>-1</sup>. Similarly, PM<sub>10</sub> and PM<sub>2.5</sub> mass concentrations decreased by -1.324 ㎍ m<sup>-3</sup> yr<sup>-1</sup> and -1.335 ㎍ m<sup>-3</sup> yr<sup>-1</sup>, respectively. These trends in AOD and PM<sub>10</sub> (PM<sub>2.5</sub>) demonstrated positive correlations, with correlation coefficients of 0.674 (0.753) and statistically significant low p-values of 0.00058 (0.03), respectively. The analysis also revealed that aerosols in South Korea predominantly consisted of black carbon (BC) or BC-mixed types (84.09%), with a notable presence of smaller, less absorbent aerosol types (13.11%).
관측 기반 지상 대기오염물질 농도와 대기혼합고의 변동성 및 상관관계 분석
김현경,정희정,박정민,신혜정,이그림,이규영,김해리,엄준식,Hyunkyoung Kim,Heejung Jung,Jung Min Park,Hyejung Shin,Greem Lee,Gyu-Young Lee,HaeRi Kim,Junshik Um 한국기상학회 2024 대기 Vol.34 No.3
This study analyzed the variability and correlation between ground-level air pollutant concentrations and the atmospheric mixing layer height using data from four types of air pollutants (PM<sub>2.5</sub>, PM<sub>10</sub>, NO<sub>2</sub>, and O<sub>3</sub>) collected at AirKorea monitoring stations nationwide over a five-year period (2018~2022), and aerosol backscatter data observed by the Vaisala CL31 to derive atmospheric mixing layer heights. The five-year trends and variability of ground-level air pollutant concentrations under seasonal and hourly conditions were examined, as well as the seasonal distribution and diurnal variation of the atmospheric mixing layer height. Five correlation coefficient methodologies were applied to analyze the correlations between ground-level air pollutants and atmospheric mixing layer height under various seasonal and hourly conditions, confirming the dilution effect of the atmospheric mixing layer height. The results showed that PM<sub>2.5</sub>, PM<sub>10</sub>, and NO<sub>2</sub> generally had negative correlations with the atmospheric mixing layer height, while O<sub>3</sub> showed a strong positive correlation up to an altitude of 1,200~1,500 meters, and a negative correlation beyond that altitude. It was also shown that a single high concentration event (e.g., PM<sub>10</sub>) can alter the overall correlation. The correlation can also vary depending on the characteristics of the correlation coefficient methodology, highlighting the importance of applying the appropriate methodology for each case during the analysis process.