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Characteristics of Vertical Profiles of Local Aerosol Mass Concentration According to Air Mass Pathways over the Korean Peninsula During Winter

한반도 겨울철 공기이동경로에 따른 에어로졸 농도의 연직분포 특성

  • Ko, A-Reum (Applied Meteorology Research Division, National Institute of Meteorological Sciences) ;
  • Kim, Jinwon (Climate Research Division, National Institute of Meteorological Sciences) ;
  • Chang, Ki-Ho (Radar Planning Team, Weather Radar Center) ;
  • Cha, Joo-Wan (Applied Meteorology Research Division, National Institute of Meteorological Sciences) ;
  • Lee, Sang-Min (Earth System Research Division, National Institute of Meteorological Sciences) ;
  • Ha, Jong-Cheol (Applied Meteorology Research Division, National Institute of Meteorological Sciences)
  • 고아름 (국립기상과학원 응용기상연구과) ;
  • 김진원 (국립기상과학원 기후연구과) ;
  • 장기호 (기상청 레이더센터) ;
  • 차주완 (국립기상과학원 응용기상연구과) ;
  • 이상민 (국립기상과학원 지구시스템연구과) ;
  • 하종철 (국립기상과학원 응용기상연구과)
  • Received : 2019.07.02
  • Accepted : 2019.09.19
  • Published : 2019.12.31

Abstract

Vertical distributions of aerosol mass concentrations over Seoul and Gangneung from January to February 2015 were investigated using aerosol Mie-scattering lidars. Vertical mass concentration of aerosol was calculated from the lidar data using KALION's algorithm and quantitatively compared with ground PM10 concentration to obtain objectivity of data. The backward trajectories calculated using HYSPLIT (version 4) were clustered into 5 traces for Seoul and 6 traces for Gangneung, and the observed aerosol vertical mass distribution was analyzed for individual trajectories. Result from the analysis shows that, aerosol concentrations with in the planetary boundary layer were highest when airflows into the measurement points originated in the Shandong Peninsula or the Inner Mongolia. In addition, the difference of aerosol mass concentrations in the two regions below 1 km was about twice as large as that in the long range transport from the Shandong Peninsula compared to the local emission. This result shows that the air quality over Korea related to particulate matters are affected more by aerosol emissions in the upstream source regions and the associated transboundary transports than local emissions. This study also suggests that the use of local aerosol observations is critical for accurate simulations of aerosol-cloud interactions.

Keywords

References

  1. Correia, A., and C. Pires, 2006: Validation of aerosol optical depth retrievals by remote sensing over Brazil and South America using MODIS. XIV Congresso Brasileiro de Meteorologia, 6 pp.
  2. Draxler, R. R., 1999: HYSPLIT_4 USER's GUIDE. NOAA Tech. Memo. ERL ARL-230, 46 pp.
  3. Draxler, R. R., and A. D. Taylor, 1982: Horizontal dispersion parameters for long-range transport modeling. J. Appl. Meteor. Climatol., 21, 367-372. https://doi.org/10.1175/1520-0450(1982)021<0367:HDPFLR>2.0.CO;2
  4. Draxler, R. R., and G. D. Hess, 1997: Description of the HYSPLIT_4 modeling system. NOAA Tech. Memo. ERL ARL-224, 24 pp.
  5. Fernald, F. G., 1984: Analysis of atmospheric lidar observations: some comments. Appl. Opt., 23, 652-653. https://doi.org/10.1364/AO.23.000652
  6. Holben, B. N., and Coauthors, 1998: AERONET-a federated instrument network and data archive for aerosol characterization. Remote Sens. Environ., 66, 1-16. https://doi.org/10.1016/S0034-4257(98)00031-5
  7. IARC, 2016: Outdoor air pollution. IARC Monographs on the Evaluation of Carcinogenic Risks to Humans. Vol. 109. International Agency for Research on Cancer, 448 pp. [Available online at http://monographs.iarc.fr/ENG/Monographs/vol109/index.php].
  8. Jeong, U., J. Kim, Y. J. Kim, and J. Jung, 2015: Dependence of total and carbonaceous aerosol concentrations on transport pathways in Seoul, Korea. Atmosphere, 25, 141-148, doi:10.14191/Atmos.2015.25.1.141.
  9. Kim, C.-H., I.-S. Park, S.-J. Lee, J.-S. Kim, H.-A. Jin, and H.-G. Sung, 2004: On the recent air pollution levels observed in the regional air monitoring network-High air pollution concentration episodes and their meteorological characteristics in 2002. J. Kor. Soc. Atmos. Environ., 20, 215-224 (in Korean with English abstract).
  10. Kim, M.-H., S.-W. Kim, S.-C. Yoon, N. Sugimoto, and B.-J. Sohn, 2011: Characteristics of the lidar and sky radiometer measurements in Seoul. Atmosphere, 21, 57-67 (in Korean with English abstract). https://doi.org/10.14191/ATMOS.2011.21.1.057
  11. Kim, M.-H., and Coauthors, 2015: Estimation of particle mass concentration from lidar measurement. Atmosphere,25, 169-177 (in Korean with English abstract). https://doi.org/10.14191/Atmos.2015.25.1.169
  12. Klett, J. D., 1981: Stable analytical inversion solution for processing lidar returns. Appl. Opt., 20, 211-220. https://doi.org/10.1364/AO.20.000211
  13. Ko, A.-R., B.-G. Kim, S.-H. Eun, Y.-S. Park, and B.-C. Choi, 2016: Analysis of the relationship of water vapor with precipitation for the winter ESSAY (Experiment on Snow Storms At Yeongdong) period. Atmosphere, 26, 19-33 (in Korean with English abstract). https://doi.org/10.14191/Atmos.2016.26.1.019
  14. Lee, H.-J., Y. M. Jeong, S.-T. Kim, and W.-S. Lee, 2018: Atmospheric circulation patterns associated with particulate matter over South Korea and their future projection. J. Clim. Change Res., 9, 423-433 (in Korean with English abstract). https://doi.org/10.15531/KSCCR.2018.9.4.423
  15. Lee, S., and Coauthors, 2019: Analysis of long-range transboundary transport (LRTT) effect on Korean aerosol pollution during the KORUS-AQ campaign. Atmos. Environ., 204, 53-67, doi:10.1016/j.atmosenv.2019.02.020.
  16. ME, 2016: If you know it, you can see it. The particulate matter, what's this? Ministry of Environment, 72 pp (in Korean) [Available online at https://www.airkorea.or.kr/web/board/3/428/pMENU_NO=143].
  17. Nam, H.-G., B.-G. Kim, S.-O. Han, C. Lee, and S.-S. Lee, 2014: Characteristics of easterly-induced snowfall in Yeongdong and its relationship to air-sea temperature difference. Asia-Pac. J. Atmos. Sci., 50, 541-552, doi:10.1007/s13143-014-0044-3.
  18. OECD, 2016: The Economic Consequences of Outdoor Air Pollution. Organization for Economic Cooperation and Development, 116 pp [Available online at http://dx.doi.org/10.1787/9789264257474-en].
  19. Park, S.-Y., Y.-J. Kim, and C.-H. Kim, 2012: Characteristics of long-range transport of air pollutants due to different transport patterns over Northeast Asia. J. Kor. Soc. Atmos. Environ., 28, 142-158 (in Korean with English abstract). https://doi.org/10.5572/KOSAE.2012.28.2.142
  20. Remer, L. A., and Coauthors, 2005: The MODIS aerosol algorithm, products, and validation. J. Atmos. Sci., 62, 947-973. https://doi.org/10.1175/JAS3385.1
  21. Sakai, T., T. Nagai, N. Orikasa, Y. Zaizen, K. Yamashita, Y. Mano, and M. Murakami, 2013: Aerosol characterization by dual-wavelength polarization lidar measurements over Kochi, Japan during the warm seasons of 2008 to 2010. J. Meteor. Soc. Japan, 91, 789-800, doi:10.2151/jmsj.2013-605.
  22. Shi, H., S.-S. Lee, H.-W. Chun, H.-J. Song, Y.-C. Noh, and B.-J. Sohn, 2016: Optical properties of aerosols related to haze events over Seoul inferred from skyradiometer and satellite-borne measurements. Atmosphere, 26, 289-299, doi:10.14191/Atmos.2016.26.2.289 (in Korean with English abstract).
  23. Shimizu, A., and Coauthors, 2004: Continuous observations of Asian dust and other aerosols by polarization lidars in China and Japan during ACE-Asia. J. Geophys. Res., 109, D19S17. https://doi.org/10.1029/2002jd003253
  24. Sugimoto, N., and Z. Huang, 2014: Lidar methods for observing mineral dust. J. Meteorol. Res., 28, 173-184, doi:10.1007/s13351-014-3068-9.
  25. Wang, Q., L. Sun, J. Wei, Y. Yang, R. Li, Q. Liu, and L. Chen, 2017: Validation and Accuracy Analysis of Global MODIS Aerosol Products over Land. Atmosphere, 8, 155, doi:10.3390/atmos8080155.
  26. Yeo, H. D., and Coauthors, 2016: The KALION automated aerosol type classification and mass concentration calculation algorithm. Kor. J. Remote Sens., 32, 119-131 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2016.32.2.5