DOI QR코드

DOI QR Code

A Study on Spatial Differences in PM2.5 Concentrations According to Synoptic Meteorological Distribution

종관 기상 분포에 따른 PM2.5 농도의 공간적 차이에 관한 연구

  • Da Eun, Chae (Department of Earth Science, Pusan National University) ;
  • Soon-Hwan, Lee (Department of Earth Science Education, Pusan National University)
  • 채다은 (부산대학교 지구과학과) ;
  • 이순환 (부산대학교 지구과학교육과)
  • Received : 2022.11.11
  • Accepted : 2022.12.05
  • Published : 2022.12.31

Abstract

To investigate the reason for the spatial difference in PM2.5 (Particulate Matter, < 2.5 ㎛) concentration despite a similar synoptic pattern, a synoptic analysis was performed. The data used for this study were the daily average PM2.5 concentration and meteorological data observed from 2016 to 2020 in Busan and Seoul metropolitan areas. Synoptic pressure patterns associated with high PM2.5 concentration episodes (greater than 35 ㎍/m3) were analyzed using K-means cluster analysis, based on the 900 hPa geopotential height of NCEP (National Centers for Environmental Prediction) FNL (Final analysis) data. The analysis identified three sub-groups related to high concentrations occurring only in Busan and Seoul metropolitan areas. Although the synoptic patterns of high PM2.5 concentration episodes that occur independently in Busan and Seoul metropolitan areas were similar, there was a difference in the intensity of pressure gradient and its direction, which tends to be an important factor determining the movement time of pollutants. The spatial difference in PM2.5 concentration in the Korean Peninsula is due to the difference and direction of the atmospheric pressure gradient that develops from southwest to northeast direction.

Keywords

Acknowledgement

본 연구는 부산대학교 기본연구지원사업(2년)의 지원으로 수행되었습니다.

References

  1. Bae, J. H., 2022, Long-term Trends in winter wind speed and frequency by direction in Seoul, J. Clim. Change, 13(1), 97-106.
  2. Bei, N., Li, G., Huang, R. J., Cao, J. J., Meng, N., Feng, T., Liu, S., Zhang, T., Zhang, Q., Molina, L. T., 2016, Typical synoptic situations and their impacts on the wintertime air pollution in the Guanzhong basin,
  3. China, Atmos. Chem. Phys., 16, 7373-7387. Bhat, T. H., Jiawen, G., Farzaneh, H., 2021, Air pollution health risk assessment (AP-HRA), principles and applications, Int. J. Environ. Res. Public Health, 18(4), 1935.
  4. Chae, D. E., Lee, K. Y., Lee, S. H., 2020, Cluster analysis of synoptic scale meteorological characteristics on high PM10 concentration episodes in the southeastern part of Korean Peninsula, J. Korean Earth Sci. Soc, 41(5), 447-458. https://doi.org/10.5467/JKESS.2020.41.5.447
  5. Chauhan, A., Singh, R. P., 2020, Decline in PM2.5 concentrations over major cities around the world associated with COVID-19, Environ. Res., 187, 109634.
  6. Cho, C. H., Kim, P. R., Han, Y. J., Kim, H. W., Yi, S. M., 2016, Characteristics of ionic and carbonaceous compounds in PM2.5 and high concentration events in Chuncheon, Korea, J. Korean Soc. Atmos. Environ., 32(4), 435-447. https://doi.org/10.5572/KOSAE.2016.32.4.435
  7. Cho, Y. J., Lee, H. C., Lim, B. H., Kim, S. B., 2019, Classification of weather patterns in the east Asia region using the K-means clustering analysis, Atmos. Korean Meteo. Soc., 29(4), 451-461.
  8. Choi, D., Heo, G. Y., Kim, C. H., 2021, Characteristics of extremely high PM2.5 episode and emergency reduction measures plan in southeastern region - comparative study in Busan vs. Seoul metropolitan area (II), J. Eeviron. Sci., 30(10), 789-802.
  9. Han, S. W., Lee, S. H., Lee, H. W., 2015, Study on the characteristics of PM distribution in coastal and inland cities correlation and its correlation, J. Eeviron. Sci., 24(11), 1513-1523.
  10. Heo, G. Y., Ban, S. J., Jung, M. S., Kim, O. G., Kim, T. H., Myong, J. S., Nam, K. P., Lee, H. S., Choi, K. C., Chang, L. S., 2018, A Study on developing conceptual models to improve forecast accuracy for high-concentration particulate matter (PM2.5) events (I), National Institute of Environmental Research, NIER-RP2018-139, Incheon, Republic of Korea.
  11. Hsu, C. H., Cheng, F. Y., 2016, Classification of weather patterns to study the influence of meteorological characteristics on PM2.5 concentrations in Yunlin County, Taiwan, Atmos. Environ., 144, 397-408. https://doi.org/10.1016/j.atmosenv.2016.09.001
  12. Jeon, W. B., Lee, H. W., Lee, T. J., Yoo, J. W., Mun, J. H., Lee, S. H., Choi, Y. S., 2019, Impact of varying wind patterns on PM10 concentrations in the Seoul metropolitan area in South Korea from 2012 to 2016, J. Appl. Meteor., 58(12), 2743-2754. https://doi.org/10.1175/JAMC-D-19-0102.1
  13. Kaur, R., Pandey, P., 2021, Air pollution, climate change, and human health in Indian cities: a brief review, Front. Sustain. Cities, 3, 705131.
  14. Kim, I. J., Lee, K. Y., Lee, S. H., Kim, S. D., 2019, Characteristics and health effects of PM2.5 emissions from various sources in Gwangju, South Korea, Sci. Total Environ., 696, 133890.
  15. Kim, J. M., Jo, Y. J., Yang, G. H., Heo, G. Y., Kim, C. H., 2020, Analysis of recent trends of particulate matter observed in Busan - comparative study on Busan vs. Seoul metropolitan area (I), J. Eeviron. Sci., 29(2), 177-189.
  16. Ko, A. R., Kim, J. W., Chang, K. H., Cha, J. W., Lee, S., M., Ha, J. C., 2019, characteristics of vertical profiles of local aerosol mass concentration according to air mass pathways over the Korean Peninsula during winter, Korean Meteor. Soc., 29(5), 525-535.
  17. Ku, H. Y., Noh, N. K., Jeong, J. H., Koo, J. H., Choi, W. S., Kim, B. M., Lee, D. G., Ban, S. J., 2021, Classification of large-scale circulation patterns and their spatio-temporal variability during High-PM10 events over the Korean Peninsula, Atmos. Env., 262, 118632.
  18. Lee, N. M., Kim, C. H., 2021, Long-term variations of aerosol optical depth and their associations with climate change over east Asia, J. Korean Soc. Atmos. Environ, 37(6), 956-971. https://doi.org/10.5572/KOSAE.2021.37.6.956
  19. Li, J., Lian, H., Hu, J., Li, N., 2019, Severe particulate pollution days in China during 2013-2018 and the associated typical weather patterns in BeijingTianjin-Hebei and the Yangtze River Delta regions, Environ. Pollution, 248, 74-81. https://doi.org/10.1016/j.envpol.2019.01.124
  20. NIER (National Institute of Environmental Research), 2020, Annual report of air quality in Korea, 2019, NIER-GP2020-037, Incheon, Republic of Korea.
  21. Ning, G., Yim, S. G. L., Wang, S., Duan, B., Nie, C., Yang, X., Wang, J., Shan, K., 2019, Synergistic effects of synoptic weather patterns and topography on air quality: a case of the Sichuan Basin of China, Climate Dynamics, 53, 6729-6744. https://doi.org/10.1007/s00382-019-04954-3
  22. Park, S. Y., 2020, COVID-19(Coronavirus Disease 2019) outbreaks and their relationship with atmospheric concentrations of PM10 and PM2.5: A case study for Daegu metropolitan city, J. Korean Geogr. Soc., 55(5), 453-465. https://doi.org/10.22776/KGS.2020.55.5.453
  23. Son, K. W., Kim, E. H., Bae, M. A., You, S. H., Kang, Y. H., Kim, H. C., Kim, B. U., Kim, S. T., 2020, Evaluations on PM2.5 concentrations and the population exposure levels for local authorities in South Korea during 2015-2017, J. Korean Soc. Atmos. Environ, 36(6), 806-819. https://doi.org/10.5572/KOSAE.2020.36.6.806
  24. Wang, J., Li, J. L., Zhang, Y. H., 2013, Weather situation classification and its feature in severe air pollution days in winter in Urumqi, J. Meteorol. Environ., 29, 28-32. https://doi.org/10.3969/j.issn.1673-503X.2013.01.005
  25. Yang, G. H., Lee, J. J., Lyu, Y. S., Chang, L. S., Lim, J. H., Lee, D. W., Kim, S. K., Kim, C. H., 2016, Analysis of the recent trend of national background PM10 concentrations over Korea, China, and Japan. J. Korean, Soc. Atmos. Environ., 32, 360-371. https://doi.org/10.5572/KOSAE.2016.32.4.360
  26. Yoo, J. W., Park, S. Y., Lee, K., Lee, D., Lee, Y., Lee, S. H., 2022, Impacts of plateau-induced lee troughs on regional PM2.5 over the Korean Peninsula, Atmos. Poll. Res., 13, 101459.
  27. Zhang, J. P., Zhu, T., Zhang, Q. H., Li, C. C., Shu, H. L., Ying, Y., Dai, Z. P., Wang, X., Liu, X. Y., Liang, A. M., Shen, H. X., Yi, B. Q., 2012, The impact of circulation patterns on regional transport pathways and air quality over Beijing and its surroundings, Atmos. Chem. Phys., 12, 5031-5053. https://doi.org/10.5194/acp-12-5031-2012
  28. Zhang, L., Li, X., Chen, H., Wu, Z., Hu, M., Yao, M., 2022, Haze air pollution health impacts of breath-borne VOCs, Environ. Sci. Technol, 56, 12, 8541-8551. https://doi.org/10.1021/acs.est.2c01778
  29. Zheng, X. Y., Fu, Y. F., Yang, Y. J., Liu, G. S., 2015, Impact of atmospheric circulations on aerosol distributions in autumn over eastern China: observational evidence, Atmos. Chem. Phys., 15, 12115-12138. https://doi.org/10.5194/acp-15-12115-2015