Journal of Korean Society for Atmospheric Environment (한국대기환경학회지)

Korean Society for Atmospheric Environment (한국대기환경학회)
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PM10 and PM2.5 Characterization based on Mass Concentration Long-term (1989 ~ 2012) Database in Yongin-Suwon Area

장기간 (1989 ~ 2012) 측정자료를 이용한 용인-수원지역에서의 PM10 및 PM2.5의 오염특성 분석 (질량농도 중심)

  • Lim, Hyoji (Department of Environmental Science and Engineering, College of Engineering, Kyung Hee University, Center for Environmental Studies, Kyung Hee University) ;
  • Lee, Tae-Jung (Department of Environmental Science and Engineering, College of Engineering, Kyung Hee University, Center for Environmental Studies, Kyung Hee University) ;
  • Kim, Dong-Sool (Department of Environmental Science and Engineering, College of Engineering, Kyung Hee University, Center for Environmental Studies, Kyung Hee University)
  • 임효지 (경희대학교 공과대학 환경학 및 환경공학과 대기오염연구실, 경희대학교 환경연구센터) ;
  • 이태정 (경희대학교 공과대학 환경학 및 환경공학과 대기오염연구실, 경희대학교 환경연구센터) ;
  • 김동술 (경희대학교 공과대학 환경학 및 환경공학과 대기오염연구실, 경희대학교 환경연구센터)
  • Received : 2014.11.17
  • Accepted : 2015.04.29
  • Published : 2015.06.30
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Abstract

Fine and coarse PM had been collected by LVCI (low volume cascade impactor) and HVAS (high volume air sampler) during January 1989 to April 2012 at Kyung Hee University, Global Campus located on the boarder of Yongin and Suwon. The database of PM mass concentration was constructed and then intensively and extensively investigated to understand monthly, seasonal, and annual patterns of each PM behavior. Especially the study separated all the PM data into the 5 Period Zones, which were classified on the basis of social, political, and environmental issues that might be influencing local ambient air quality during the monitoring period. The overall $PM_{10}$ level had been continuously decreased until 2005 and after then was staggering due to rapidly increasing $PM_{2.5}$ level in $PM_{10}$. The annual average of $PM_{2.5}$ concentration varied from $34.3{\mu}g/m^3$ to $59.0{\mu}g/m^3$, which were much higher than the 2015 ambient air quality standard. The $PM_{2.5}$ level was strongly associated with haze events, while both $PM_{10}$ and $PM_{2.5}$ levels were associated with Yellow storm events. Daily concentrations of $PM_{2.5}$ were ranged $13.1{\sim}212.9{\mu}g/m^3$ in haze days and $33.6{\sim}124.6{\mu}g/m^3$ in Asian dust days. The study also intensively investigated annual and seasonal patterns of $PM_{2.5}/PM_{10}$ ratios.

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References

  1. Brunekreef, B. and S. Holgate (2002) Air pollution and health, Lancet, 360, 1233-1242. https://doi.org/10.1016/S0140-6736(02)11274-8
  2. Chan, Y.C., R.W. Simpson, G.H. McTainsh, and P.D. Vowles (1997) Characterization of chemical species in $PM_{2.5}\;and\;PM_{10}$ aerosols in Brisbane, Australia, Atmos. Environ., 31, 3773-3785. https://doi.org/10.1016/S1352-2310(97)00213-6
  3. Dockery, D.W. and P.H. Stone (2007) Cardiovascular risks from fine particulate air pollution, N. Engl. J. Me., 356, 511-513. https://doi.org/10.1056/NEJMe068274
  4. Giuliacci, M. (1988) Physical and Dynamical Climatology of the Po Valley, Regional Meteorological Service, Bologna.
  5. Hwang, I.J., T.O. Kim, and D.S. Kim (2001) Sources identification of PM-10 in Suwon using the method of positive matrix factorization, J. Korean Soc. Atmos. Environ., 17(2), 133-145. (in Korean with English Abstract)
  6. KEEI (2015) 2014 Yearbook of energy statistic.
  7. Kim, B.H. and D.S. Kim (2000) Studies on the Environmental Behaviors of Ambient $PM_{2.5}\;and\;PM_{10}$ in Suwon Area, J. Korean Soc. Atmos. Environ., 16(2), 89-101. (in Korean with English Abstract)
  8. Kim, D.K., T.J. Lee, and D.S. Kim (2012) Sources apportionment estimation of ambient $PM_{2.5}$ and identification of combustion sources by using concentration ratios of PAHs, J. Korean Soc. Atmos. Environ., 28(5), 538-555. (in Korean with English Abstract) https://doi.org/10.5572/KOSAE.2012.28.5.538
  9. Kim, D.S. (2013) Air pollution history, regulatory changes, and remedial measures of the current regulatory regimes in Korea, J. Korean Soc. Atmos. Environ., 29(4), 353-368. (in Korean with English Abstract) https://doi.org/10.5572/KOSAE.2013.29.4.353
  10. Kim, K.S., I.J. Hwang, and D.S. Kim (2001) Development of a receptor methodology for quantitative assessment of ambient $PM_{10}$ sources in Suwon area, J. Korean Soc. Atmos. Environ., 17(2), 119-131. (in Korean with English Abstract)
  11. Kim, S.C., T.J. Lee, and D.S. Kim (1996) Trends in concentrations of polycyclic aromatic hydrocarbons of $PM_{10}$ in Suwon area, J. Korean Soc. Atmos. Environ., 12(3), 341-350. (in Korean with English Abstract)
  12. Lall, R., M. Kendall, K. Ito, and G.D. Thurston (2004) Estimation of historical annual $PM_{2.5}$ exposures for health effects assessment, Atmos. Environ., 38, 5217-5226. https://doi.org/10.1016/j.atmosenv.2004.01.053
  13. Lee, H.W., T.J. Lee, S.S. Yang, and D.S. Kim (2008) Identification of atmospheric $PM_{10}$ sources and estimating their contributions to the Yongin-Suwon bordering area by using PMF, J. Korean Soc. Atmos. Environ., 24(4), 439-454. (in Korean with English Abstract) https://doi.org/10.5572/KOSAE.2008.24.4.439
  14. Lee, H.W., T.J. Lee, and D.S. Kim (2009) Identifying ambient $PM_{2.5}$ sources and estimating their contributions by using PMF : Separation of gasoline and diesel automobile sources by analyzing ECs and OCs, J. Korean Soc. Atmos. Environ., 25(1), 75-89. (in Korean with English Abstract) https://doi.org/10.5572/KOSAE.2009.25.1.075
  15. Lee, T.J. and D.S. Kim (1997) Estimation of source contribution for ambient particulate matter in Suwon area, J. Korean Soc. Atmos. Environ., 13(4), 285-296. (in Korean with English Abstract)
  16. Lim, D.Y., T.J. Lee, and D.S. Kim (2012) Quantitative estimation of precipitation scavenging and wind dispersion contributions for $PM_{10}\;and\;NO_{2}$ using long-term air and weather monitoring database during 2000-2009 in Korea, J. Korean Soc. Atmos. Environ., 28(3), 325-347. (in Korean with English Abstract) https://doi.org/10.5572/KOSAE.2012.28.3.325
  17. Lim, D.Y., T.J. Lee, and D.S. Kim (2013) Development and validation test of effective wet scavenging contribution regression models using long-term air monitoring and weather database, J. Korean Soc. Atmos. Environ., 29(3), 297-306. (in Korean with English Abstract) https://doi.org/10.5572/KOSAE.2013.29.3.297
  18. Marcazzan G.M., S. Vaccaro, G. Valli, and R. Vecchi (2001) Characterisation of $PM_{10}\;and\;PM_{2.5}$ particulate matter in the ambient air of Milan (Italy), Atmos. Environ., 35, 4639-4650. https://doi.org/10.1016/S1352-2310(01)00124-8
  19. MOE (2012) 2012 White Paper of Environment.
  20. MOE (2014) The 2nd Metropolitan Air Quality Management Master Plan.
  21. Oh, M.S., T.J. Lee, and D.S. Kim (2009) Source identification of ambient size-by-size particulate using the positive matrix factorization model on the border of Yongin and Suwon, J. Korean Soc. Atmos. Environ., 25(2), 108-121. (in Korean with English Abstract) https://doi.org/10.5572/KOSAE.2009.25.2.108
  22. Ozkaynak, H. and J.D. Spengler (1985) Analysis of health effect resulting from population exposures to acid precipitation precursors, Environ. Health Perspect., 63, 45-55. https://doi.org/10.1289/ehp.856345
  23. Pang, Y., Y. Ren, F. Obeidi, R. Hastings, D.J. Eatough, and W.E. Wilson (2001) Semi-volatile species in $PM_{2.5}$: Comparison of integrated and continuous samplers for $PM_{2.5}$ research or monitoring, J. Air & Waste Manage. Assoc., 51, 25-36. https://doi.org/10.1080/10473289.2001.10464252
  24. Yanosky, J.D. and D.L. Macintosh (2001) A comparison of four gravimetirc fine particle sampling methods, J. Air & Waste Manage. Assoc., 51, 878-884. https://doi.org/10.1080/10473289.2001.10464320
  25. U.S. EPA (2007) National Ambient Air Quality Standards For Particulate Matter; Final Rule, Federal Register, Part II EPA, Vol. 72, No. 79.

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