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Korean Meteorological Society (한국기상학회)
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Comparison of Ground-Based Particulate Matter Observations in the Seodaemun-gu District, Seoul

서울 서대문구 지상 미세먼지 관측 비교

  • Koo, Ja-Ho (Department of Atmospheric Sciences, Yonsei University) ;
  • Lee, Seoyoung (Department of Atmospheric Sciences, Yonsei University) ;
  • Kim, Minseok (Department of Atmospheric Sciences, Yonsei University) ;
  • Park, Joonghee (Department of Atmospheric Sciences, Yonsei University) ;
  • Jeon, Soo Ahn (Department of Atmospheric Sciences, Yonsei University) ;
  • Noh, Hyunsuk (Department of Atmospheric Sciences, Yonsei University) ;
  • Kim, Jhoon (Department of Atmospheric Sciences, Yonsei University) ;
  • Lee, Yun Gon (Department of Atmospheric Sciences, Chungnam National University)
  • 구자호 (연세대학교 대기과학과) ;
  • 이서영 (연세대학교 대기과학과) ;
  • 김민석 (연세대학교 대기과학과) ;
  • 박중희 (연세대학교 대기과학과) ;
  • 전수안 (연세대학교 대기과학과) ;
  • 노현석 (연세대학교 대기과학과) ;
  • 김준 (연세대학교 대기과학과) ;
  • 이윤곤 (충남대학교 대기과학과)
  • Received : 2018.11.22
  • Accepted : 2018.12.27
  • Published : 2018.12.31
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Abstract

We performed the comparison of observed $PM_{10}$ and $PM_{2.5}$ at both the Yonsei University and the AIRKOREA site in the same Seodaemun-gu district, Seoul from March to December 2016. Generally, the moderate correlations between two sites were found for both $PM_{10}$ and $PM_{2.5}$, but monthly difference was somewhat occurred, implying that the measurement situation is not equally maintained even in a closely located area. Particularly correlations became weaker in June and July, which seems the impact of rainy conditions. Correlations between two stations were higher for $PM_{10}$ compared to $PM_{2.5}$, probably indicating the spatially larger difference of fine mode particle. Monthly mean variation was similar between two sites showing a maximum in March and minimum in August. Diurnal variation was somewhat different: morning peak at Yonsei University but evening peak at the Seodaemun-gu AIRKOREA site, reflecting the difference of local air condition. We also compared the extent of $PM_{10}$ and $PM_{2.5}$ according to the local wind speed and direction. In general, the level of particulate matter was high when the wind is blowing from the northwestern area with low wind speed, meaning the high accumulation effect of transported air particles. Findings of this study can be usefully considered for the investigation about the discrepancy of aerosol measurement in a local scale.

Keywords

KSHHDL_2018_v28n4_469_f0001.png 이미지

Fig. 2. (a) Correlation between daily mean PM10 (black circle) and PM2.5 (red triangle) at two observation sites in the Seodaemun-gu area during whole research period (March to December 2016), expressed by determining coefficients (R2). (b) Monthly variation of R2 for PM10 and PM2.5 between two observation sites in the Seodaemun-gu district during the research period.

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Fig. 3. Monthly mean variation of PM10 (black circle) and PM2.5 (red triangle) at (a) Yonsei university and (b) AIRKOREA sites in the Seodaemun-gu district during the research period (March to December 2016).

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Fig. 4. Monthly variation of (a) PM10-PM2.5 difference and (b) PM2.5/PM10 ratio for both sites in the Seodaemun-gu district.

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Fig. 5. Hourly mean variation of PM10 (black) and PM2.5(red) at (a) Yonsei university and (b) AIRKOREA sites in the Seodaemun-gu district during the research period (March to December 2016).

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Fig. 6. During the research period (March to December 2016), mean PM10 (yellow) and PM2.5 (brown) values at (a) Yonsei university and (b) AIRKOREA sites for each sector of wind speed are compared.

KSHHDL_2018_v28n4_469_f0006.png 이미지

Fig. 7. During the research period (March to December 2016), mean PM10 (yellow) and PM2.5 (brown) values at (a) Yonsei university and (b) AIRKOREA sites for each sector of wind direction are compared.

KSHHDL_2018_v28n4_469_f0007.png 이미지

Fig. 8. Correlation coefficients of PM10 (black circle) and PM2.5 (white triangle) between the Yonsei university and AIRKOREA sites for each sector of (a) wind speed and (b) wind direction.

KSHHDL_2018_v28n4_469_f0008.png 이미지

Fig. 1. The location of two monitoring sites in the Seodaemun-gu district: Yonsei University and Seodaemun AIRKOREA sites.

References

  1. Artinano, B., P. Salvador, D. G. Alonso, X. Querol, and A. Alastuey, 2003: Anthropogenic and natural influence on the $PM_{10}$ and $PM_{2.5}$ aerosol in Madrid (Spain). Analysis of high concentration episodes. Environ. Pollut., 125, 453-465. https://doi.org/10.1016/S0269-7491(03)00078-2
  2. Davidson, C. I., R. F. Phalen, and P. A. Solomon, 2005: Airborne particulate matter and human health: A review. Aerosol Sci. Tech., 39, 737-749. https://doi.org/10.1080/02786820500191348
  3. Hwang, Y.-J., S.-J. Lee, H.-S. Do, Y.-K. Lee, T.-J. Son, T.-G. Kwon, J.-W. Han, D.-H. Kang, and J.-W. Kim, 2009: The analysis of $PM_{10}$ concentration and the evaluation of influences by meteorological factors in ambient air of Daegu Area. J. Kor. Soc. Atmos. Environ., 25, 459-471 (in Korean with English abstract). https://doi.org/10.5572/KOSAE.2009.25.5.459
  4. Jacobson, M. Z., 2001: Global direct radiative forcing due to multicomponent anthropogenic and natural aerosols. J. Geophys. Res., 106, 1551-1568. https://doi.org/10.1029/2000JD900514
  5. Jeong, U., J. Kim, H. Lee, J. Jung, Y. J. Kim, C. H. Song, and J.-H. Koo, 2011: Estimation of the contributions of long range transported aerosol in East Asia to carbonaceous aerosol and PM concentrations in Seoul, Korea: a PSCF model approach. J. Environ. Monitor., 13, 1905-1918, doi:10.1039/c0em00659a.
  6. Jung, J., Y. J. Kim, K. Y. Lee, M. G.-Cayetano, T. Batmunkh, J.-H. Koo, and J. Kim, 2010: Spectral optical properties of long-range transport Asian Dust and pollution aerosols over Northeast Asia in 2007 and 2008. Atmos. Chem. Phys., 10, 5391-5408, doi:10.5194/acp-10-5391-2010.
  7. Kim, H. C., and Coauthors, 2017: Recent increase of surface particulate matter concentrations in the Seoul Metropolitan Area, Korea. Sci. Rep., 7, 4710, doi: 10.1038/s41598-017-05092-8.
  8. Kim, J.-A., H.-A. Jin, and C.-H. Kim, 2007: Characteristics of time variations of $PM_{10}$ concentrations in Busan and interpreting its generation mechanism using meteorological variables. J. Environ. Sci. Int., 16, 1157-1167 (in Korean with English abstract). https://doi.org/10.5322/JES.2007.16.10.1157
  9. Kim, K., and Coauthors, 2016: Estimation of surface-level PM concentration from satellite observation taking into account the aerosol vertical profiles and hygroscopicity. Chemosphere, 143, 32-40, doi:10.1016/j.chemosphere.2015.09.040.
  10. Kim, K.-H., E. Kabir, and S. Kabir, 2015: A review on the human health impact of airborne particulate matter. Environ. Int., 74, 136-143, doi:10.1016/j.envint.2014.10.005.
  11. Kim, S.-M., J. Yoon, K.-J. Moon, D.-R. Kim, J.-H. Koo, M. Choi, K. N. Kim, and Y. G. Lee, 2018: Empirical estimation and diurnal patterns of surface $PM_{2.5}$ concentration in Seoul using GOCI AOD. Kor. J. Remote Sens., 34, 451-463, doi:10.7780/kjrs.2018.34.3.2 (in Korean with English abstract).
  12. Kim, Y. P., 2006: Air pollution in Seoul caused by aerosols. J. Kor. Soc. Atmos. Environ., 22, 535-553 (in Korean with English abstract).
  13. Kim, Y. P., and G. Lee, 2018: Trend of Air Quality in Seoul: Policy and Science. Aerosol Air Qual. Res., 18, 2141-2156, doi:10.4209/aaqr.2018.03.0081.
  14. Koo, J.-H., J. Kim, M.-J. Kim, H. K. Cho, K. Aoki, and M. Yamano, 2007: Analysis of aerosol optical properties in Seoul using skyradiometer observation. Atmosphere, 17, 407-420 (in Korean with English abstract).
  15. Pang, J., Z. Liu, X. Wang, J. Bresch, J. Ban, D. Chen, and J. Kim, 2018: Assimilating AOD retrievals from GOCI and VIIRS to forecast surface $PM_{2.5}$ episodes over Eastern China. Atmos. Environ., 179, 288-304, doi:10.1016/j.atmosenv.2018.02.011.
  16. Perez, N., J. Pey, X. Querol, A. Alastuey, J. M. Lopez, and M. Viana, 2008: Partitioning of major and trace components in $PM_{10}$-$PM_{2.5}$-PM1 at an urban site in Southern Europe. Atmos. Environ., 42, 1677-1691. https://doi.org/10.1016/j.atmosenv.2007.11.034
  17. Seo, J.-H., E.-H. Ha, B.-E. Lee, H.-S. Park, H. Kim, Y.-C. Hong, and O.-H. Yi, 2006: The effect of PM10 on respirtory-related admission in Seoul. J. Kor. Soc. Atmos. Environ., 22, 564-573 (in Korean with English abstract).
  18. Seo, S., J. Kim, H. Lee, U. Jeong, W. Kim, B. N. Holben, S.-W. Kim, C. H. Song, and J. H. Lim, 2015: Estimation of $PM_{10}$ concentrations over Seoul using multiple empirical models with AERONET and MODIS data collected during the DRAGON-Asia campaign. Atmos. Chem. Phys., 15, 319-334, doi:10.5194/acp-15-319-2015.
  19. Shin, M.-K., C.-D. Lee, H.-S. Ha, C.-S. Choe, and Y.-H. Kim, 2007: The influence of meteorological factors on $PM_{10}$ concentration in Incheon. J. Kor. Soc. Atmos. Environ., 23, 322-331 (in Korean with English abstract). https://doi.org/10.5572/KOSAE.2007.23.3.322
  20. Son, H.-Y., and C.-H. Kim, 2009: Interpretating the spectral characteristics of measured particle concentrations in Busan. J. Kor. Soc. Atmos. Environ., 25, 133-140 (in Korean with English abstract). https://doi.org/10.5572/KOSAE.2009.25.2.133
  21. Wang, X., K. Wang, and L. Su, 2016: Contribution of atmospheric diffusion conditions to the recent improvement in air quality in China. Sci. Rep., 6, 36404. https://doi.org/10.1038/srep36404
  22. Yoo, J.-M., M.-J. Jeong, D. Kim, W. R. Stockwell, J.-H. Yang, H.-W. Shin, M.-I. Lee, C.-K. Song, and S.-D. Lee, 2015: Spatiotemporal variations of air pollutants ($O_3$, $NO_2$, $SO_2$, CO, $PM_{10}$, and VOCs) with land-use types. Atmos. Chem. Phys., 15, 10857-10885, doi: 10.5194/acp-15-10857-2015.
  23. Zhang, X., X. Chen, and X. Zhang, 2018: The impact of exposure to air pollution on cognitive performance. Proc. Natl. Acad. Sci., 115, 9193-9197, doi:10.1073/pnas.1809474115.
  24. Zou, Y., Y. Wang, Y. Zhang, and J.-H. Koo, 2017: Arctic sea ice, Eurasia snow, and extreme winter haze in China. Sci. Adv., 3, e1602751, doi:10.1126/sciadv.1602751.