Evaluation of the Effect of Traffic Control Program on the Ambient Air Quality in Seoul Metropolitan Area Using the Lower Level Stability Index of Atmosphere

하층대기의 연직 안정도 지표를 이용한 차량 2부제의 수도권 대기오염도 저감효과 분석

  • Kim C.-H. (Department of Atmospheric Science, Pusan Nutional University) ;
  • Park 1.-S. (Atmospheric Research Division, National Institute of Environmental Research) ;
  • Lee S.-J. (Atmospheric Research Division, National Institute of Environmental Research) ;
  • Kim J.-S. (Atmospheric Research Division, National Institute of Environmental Research) ;
  • Hong Y.-D. (Atmospheric Research Division, National Institute of Environmental Research) ;
  • Han J.-S. (Atmospheric Research Division, National Institute of Environmental Research) ;
  • Jin H.-A. (Atmospheric Research Division, National Institute of Environmental Research)
  • 김철희 (부산대학교 대기과학과) ;
  • 박일수 (국립환경연구원 대기연구부) ;
  • 이석조 (국립환경연구원 대기연구부) ;
  • 김정수 (국립환경연구원 대기연구부) ;
  • 홍유덕 (국립환경연구원 대기연구부) ;
  • 한진석 (국립환경연구원 대기연구부) ;
  • 진형아 (국립환경연구원 대기연구부)
  • Published : 2005.04.01

Abstract

The effects of Traffic Control Program (TCP) on the ambient urban air quality of SO$_{2}$, NO$_{2}$, O$_{3}$, and PM$_{10}$ were evaluated in Seoul metropolitan area by using the lower atmospheric vertical stability index and daily mean wind speeds. The vertical stability index; temperature lapse rate between 1000 hPa and 850 hPa geopotential height fields, were used to identify daily vertical stability index during the 2002 World Cup period where traffic amount was reportedly reduced to half the number of vehicles. The indicated air quality levels of TCP days were then compared with those of the cases observed with analogous vertical stability during the recent 3 years from 2000 to 2002. The result indicates that the effect of TCP on the primary air pollutants are found to be approximately 39$\%$, 23$\%$ and 20$\%$ lower for SO$_{2}$, NO$_{2}$ and PM$_{10}$, respectively. The secondary air pollutant; ozone, showed relatively smaller decreasing rate (13$\%$) of daily mean concentrations (even increased during the night time). The comparison of daily maximum or peak concentrations reveals that the pronounced decreasing effects of TCP on the ambient air quality for both primary and secondary air pollutants, suggesting that TCP is one of the effective strategies to control peak or higher concentrations for most urban scale air pollutants in and around the Seoul metropolitan area.

Keywords

References

  1. 김용국, 이종범(1990) Pasquill 안정도 계급의 평가와 안정도 parameter추정 방법의 개발. 한국대기보전학회지, 6(2), 168-175
  2. 김유근, 홍정혜, 전병일(1994) 미기상 특성에 따른 대기오염 농도 분포에 관한 연구. 한국환경과학회지,3(1),31-38
  3. 김시완, 박순웅, 이보람(1997) 종관 기상장에 따른 $SO_{2}$,NOx,CO 그리고 $O_{3}$ 농도의 변화. 한국기상학회지, 33(2), 273-287
  4. 박영주(1990) 서울시에서 혼합고의 일변화에 관하여. 서울대학교 대기과학과 석사학위논문. 65pp
  5. 박일수, 이덕길, 강인구(1991) 서울 지역 겨울철 $SO_{2}$ 농도를 지배하는 기상 인자. 한국대기보전학회지, 7(2), 91-104
  6. 변희룡, 이동규, 정삼연(1995) 하층대기의 연직 안정도와 연관된 850hPa 지오포텐셜 고도장의 종관적 특성. 한국기상학회, 31(3), 213-228
  7. 신찬기, 한진석, 김윤신(1992) 대기오염농도와 기상인자의 관련성 연구. 한국대기보전학회지, 8(4), 213-220
  8. 이보람(1997) 종관 기상상태를 고려한 한반도 대기오염 퍼텐셜 예측법. 서울대학교 대기과학과 석사학위논문, 54pp
  9. 이종범, 김용국, 김태우(1993) 춘천 지역 도시 열섬의 특징과 대기질에 미치는 영향. 한국대기보전학회지 9(4), 303-309
  10. 이화운(1993) 대기혼합층 발달과정의 모의실험과 수치해석. 한국환경과학회지, 2(1), 17-26
  11. 환경부, 국립환경연구원 (2002) 2002년 9월 대기환경월보, 73pp
  12. Benarie, M.M. (1980) Urban Air Pollution Modelling. Macmillan Press, London
  13. Comrie, A.C. and B. Yarnal (1992) Relationships between synoptic scale atmospheric circulation and ozone concentrations in Metropolitan Pittsburgh, Pennsylvania. Atmospheric Environment, 3, 301-312
  14. Davis, R.E. and D.A., Gay (1993) A synoptic climatological analysis of air quality in the Grand Canyon National Park. Atmospheric Environment, 5, 713-727
  15. Deardorff, J.W. (1979) Prediction of convective mixed layer entrainment for realistic capping inversion structure. J. of Atmos. Sci. 36, 424-436 https://doi.org/10.1175/1520-0469(1979)036<0424:POCMLE>2.0.CO;2
  16. Dobbins, R.A. (1979) Atmospheric Motion and Air Pollution A Wiley-interscience publication, 137-139
  17. Erbrink, J.J. (1991) A practical model for the calculation of and $\sigma_{y}$ and $\sigma_{z}$ for use tall stacks based on wind fluctuations. Atmospheric Environment, 25A(2), 277-283
  18. Karlsson, S. (1986) The applicability of wind profiles formulas to an urban-rural interface site. Boundary Layer Meteor., 34, 333-355 https://doi.org/10.1007/BF00120987
  19. Miller, C.W. and C.A. Little (1980) Accuracy of Gaussian plume dispersion model predictions as a function of three atmospheric stability classification calculations. Health Physics, 39, 773-982 https://doi.org/10.1097/00004032-198011000-00007
  20. Pasquill, F. (1975) Atmospheric Diffusion. John Wiley, Newe York
  21. Sanchez, M.L., D. Pascual, C. Ramos, and I. Perez (1990) Forecasting particulate pollutant concentrations in a city from meteorological variables and regional weather patterns. Atmospheric Environment, 6, 1509-1519
  22. Sedifian, L. and E. Benett (1980) A comparison of turbulence classification schemes. Atmospheric Environment, 14, 741-750 https://doi.org/10.1016/0004-6981(80)90128-6
  23. Steyn, D.G. and T.R. Oke (1982) The depth of the daytime mixed layer at two coastal sites: A model and its validation. Boundary Layer Meteor., 24, 161-180 https://doi.org/10.1007/BF00121666