Analysis of Meteorological Characteristics by Fine Dust Classification on the Korean Peninsula, 2015~2021

2015년~2021년 한반도 고농도 미세먼지 사례의 유형분류에 따른 기상학적 특징 분석

  • Jee, Joon-Bum (Research Center for Atmospheric Environment, Hankuk University of Foreign Studies) ;
  • Cho, Chang-Rae (Research Center for Atmospheric Environment, Hankuk University of Foreign Studies) ;
  • Kim, Yoo-Jun (High Impact Weather Research Department, National Institute of Meteorological Sciences) ;
  • Park, Seung-Shik (Department of Environment and Energy Engineering, Chonnam National University)
  • 지준범 (한국외국어대학교 대기환경연구센터) ;
  • 조창래 (한국외국어대학교 대기환경연구센터) ;
  • 김유준 (국립기상과학원 재해기상연구부) ;
  • 박승식 (전남대학교 환경에너지공학과)
  • Received : 2022.03.29
  • Accepted : 2022.06.20
  • Published : 2022.06.30


From 2015 to 2021, high-concentration fine dust episodes with a daily average PM2.5 concentration of 50 ㎍ m-3 or higher were selected and classified into 3 types [long range transport (LRT), mixed (MIX) and Local emission and stagnant (LES)] using synoptic chart and backward trajectory analysis. And relationships between the fine particle data (PM2.5 and PM10 concentration and PM2.5/PM10 ratio) and meteorological data (PBLH, Ta, WS, U-wind, and Rainfall) were analyzed using hourly observation for the classification episodes on the Korean Peninsula and the Seoul metropolitan area (SMA). In LRT, relatively large particles such as dust are usually included, and in LES, fine particle is abundant. In the Korean peninsula, the rainfall was relatively increased centered on the middle and western coasts in MIX and LES. In the SMA, wind speed was rather strong in LRT and weak in LES. In LRT, rainfall was centered in Seoul, and in MIX and LES, rainfall appeared around Seoul. However, when the dust cases were excluded, the difference between the LRT and other types of air quality was decreased, but the meteorological variables (Ta, RH, Pa, PBLH, etc.) were further strengthened. In the case of the Korean Peninsula, it is difficult to find a clear relationship because regional influences (topographical elevation, cities and coasts, etc.) are complexly included in a rather wide area. In the SMA, it is analyzed that the effects of urbanization such as the urban heat island centered on Seoul coincide with the sea and land winds, resulting in a combination of high concentrations and meteorological phenomena.



본 연구는 2020년도 정부(과학기술정보통신부)의 재원으로 한국연구재단 - 기후변화대응개발사업(NRF-2020M1A2A2083520) 지원을 받아 수행되었습니다.


  1. Boo, K.-O., Y.-S. Chun, J.-Y. Park, H.-M. Cho, and W.-T. Kwon, 1999: The horizontal distribution of air temperature in Seoul using Automatic Weather Station data. J. Korean Meteor. Soc., 35, 335-343 (in Korean with English abstract).
  2. Choi, W.-C., and K.-S. Cheong, 2021: Analysis of the factors affecting fine dust concentration before and after COVID-19. J. Korean Soc. Hazard Mitig., 21, 395- 402, doi:10.9798/KOSHAM.2021.21.6.395 (In Korean with English abstract).
  3. Ghim, Y. S., Y. Choi, J. S. Park, and C. H. Kim, 2014: An assessment study for the urban air monitoring network in Seoul. J. Korean Soc. Atmos. Environ., 30, 504-509, doi:10.5572/KOSAE.2014.30.5.504 (in Korean with English abstract).
  4. Hwang, S. E., B.-T. Kim, Y. T. Lee, S. S. Shin, and K. H. Kim, 2021: A comparative study of the atmospheric boundary layer type in the local data assimilation and prediction system using the data of Boseong standard weather observatory. J. Korean Earth Sci. Soc., 42, 504-513, doi:10.5467/JKESS.2021.42.5.504 (in Korean with English abstract).
  5. Jang, E., W. Do, G. Park, M. Kim, and E. Yoo, 2017: Spatial and temporal variation of urban air pollutants and their concentrations in relation to meteorological conditions at four sites in Busan, South Korea. Atmos. Pollut. Res., 8, 89-100, doi:10.1016/j.apr.2016.07.009.
  6. Jeong, J.-C., 2014: A spatial distribution analysis and time series change of PM10 in Seoul city. J. Korean Assoc. Geogr. Inf. Studies, 17, 61-69, doi:10.11108/kagis.2014.17.1.061 (in Korean with English abstract).
  7. Jo, H.-J., and C.-H. Kim, 2013: Identification of long-range transported haze phenomena and their meteorological features over Northeast Asia. J. Appl. Meteorol. Clim., 52, 1318-1328.
  8. KECO, 2022: Final confirmation annual data download. Korea Environment Corporation [Available online at] (in Korean).
  9. Kim, C. H., and Coauthors, 2016: Synoptic perspectives on pollutant transport patterns observed by satellites over East Asia: Case studies with a conceptual model. Atmos. Chem. Phys. Discuss., doi:10.4194/acp-2016-673.
  10. Kim, D.-J., G. Kang, D.-Y. Kim, and J.-J. Kim, 2020a: Characteristics of LDAPS-predicted surface wind speed and temperature at automated weather stations with different surrounding land cover and topography in Korea. Atmosphere, 11, 1224, doi:10.3390/atmos11111224.
  11. Kim, M., S. Lee, Y. Cho, J.-H. Koo, S. S. Yum, and J. Kim, 2020b: The relationship of particulate matter and visibility under different meteorological conditions in Seoul, South Korea. Atmosphere, 30, 391-404, doi:10.14191/Atmos.2020.30.4.391 (in Korean with English abstract).
  12. Kim, M.-H., and Coauthors, 2015: Estimation of particle mass concentration from lidar measurement. Atmosphere, 25, 169-177, doi:10.14191/Atmos.2015.25.1.169 (in Korean with English abstract).
  13. Koo, J.-H., S. Lee, M. Kim, J. Park, S. A. Jeon, H. Noh, J. Kim, and Y. G. Lee, 2018a: Comparison of groundbased particulate matter observations in the Seodaemun-gu district, Seoul. Atmosphere, 28, 469-477, doi:10.14191/Atmos.2018.28.4.469 (in Korean with English abstract).
  14. Koo, Y.-S., H.-Y. Yun, D.-R. Choi, J.-S. Han, J.-B. Lee, and Y.-J. Lim, 2018b: An analysis of chemical and meteorological characteristics of haze events in the Seoul metropolitan area during January 12-18, 2013. Atmos. Environ., 178, 87-100, doi:10.1016/j.atmosenv.2018.01.037.
  15. Lee, S., C.-H. Ho, and Y.-S. Choi, 2011: High-PM10 concentration episodes in Seoul, Korea: Background sources and related meteorological conditions. Atmos. Environ., 45, 7240-7247, doi:10.1016/j.atmosenv.2011.08.071.
  16. Lee, Y. H., Y. Choi, and Y. S. Ghim, 2016: Classification of diurnal patterns of particulate inorganic ions downwind of metropolitan Seoul. Environ. Sci. Polout. Res. Int., 23, 8917-8928, doi:10.1007/s11356-016-6125-3.
  17. Park, C.-S., 2017: Variations of PM10 concentration in Seoul during 2015 and relationships to weather condition. J. Assoc. Korean Photo-Geographers, 27, 47-64, doi:10.35149/jakpg.2017.27.2.004 (in Korean with English abstract).
  18. Park, I.-S., M.-S. Park, Y. W. Jang, H.-K. Kim, C.-K. Song, J. S. Owen, S.-H. Kim, C.-R. Cho, and C.-H. Kim, 2020: Impact comparison of synoptic meteorology and nationwide/local emissions on the Seoul Metropolitan Area during high PM multi-event and nonevent days, Asian J. Atmos. Environ., 14, 263-279, doi:10.5572/ajae.2020.14.3.263.
  19. Park, I.-S., and Coauthors, 2021: Meteorological characteristics during periods of greatly reduced PM2.5 concentrations in March 2020 in Seoul. Aerosol Air Qual. Res., 21, 200512, doi:10.4209/aaqr.200512.
  20. Seo, Y.-H., M.-S. Ku, J.-W. Choi, K.-M. Kim, S.-M. Kim, K.-H. Sul, H.-J. Jo, S.-J. Kim, and K.-H. Kim, 2015: Characteristics of PM2.5 emission and distribution in a highly commercialized area in Seoul. J. Korean Soc. Atmos. Environ., 31, 97-104, doi:10.5572/KOSAE.2015.31.2.097 (in Korean with English abstract).
  21. Song, J. I., and S. S. Yum, 2019: An assessment of the effectiveness of cloud seeding as a measure of air quality improvement in the Seoul metropolitan area, Atmosphere, 29, 609-614, doi:10.14191/Atmos.2019.29.5.609 (in Korean with English abstract).
  22. Stein, A. F., R. R. Draxler, G. D. Rolph, B. J. B. Stunder, M. D. Cohen, and F. Ngan, 2015: NOAA's HYSPLIT atmospheric transport and dispersion modeling system. Bull. Amer. Meteor. Soc., 96, 2059-2077, doi:10.1175/BAMS-D-14-00110.1.
  23. Yang, X., and Coauthors, 2018: Aircraft measurement over the Gulf of Tonkin capturing aloft transport of biomass burning. Atmos. Environ., 182, 41-50, doi:10.1016/j.atmosenv.2018.03.020.