한국대기환경학회지 (Journal of Korean Society for Atmospheric Environment)

  • 제25권2호
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  • Pages.154-166
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  • 2009
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  • 1598-7132(pISSN)
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  • 2383-5346(eISSN)
한국대기환경학회 (Korean Society for Atmospheric Environment)
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미국 St. Louis Supersite에서의 준 실시간 PM2.5에 대한 기여도 추정 및 지역 규모 오염원의 위치 파악

Estimation of Source Apportionment for Semi-Continuous PM2.5 and Identification of Location for Local Point Sources at the St. Louis Supersite, USA

  • 황인조 (대구대학교 환경공학과)
  • Hwang, In-Jo (Department of Environmental Engineering, Daegu University)
  • 발행 : 2009.04.30
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초록

In this study, 1-hour integrated $PM_{2.5}$ mass and chemical composition concentrations were monitored at the St. Louis-Midwest Supersite in Illinois. Time-resolved samples were collected one week in each of June 2001 (22 June to 28 June), November 2001 (7 November to 13 November), and March 2002 (19 March to 25 March). A total of 427 samples were collected by CAMM (continuous ambient mass monitor) and 15 compounds were analyzed by AAS, PILS (particle-into-liquid sampler), and TOT (thermal optical transmittance) method. PMF was applied to identify the sources and apportion the $PM_{2.5}$ mass to each source for highly time resolved data. In addition, the nonparametric regression (NPR) was applied to identify the predominant directions of local sources relative to wind direction. Also, this study performed compare the NPR analysis and location of actual local point sources at the St. Louis area. The PMF modeling identified nine sources and the average mass was apportioned to gasoline vehicle, road dust, zinc smelter, copper production, secondary sulfate, diesel emission, secondary nitrate, iron+steel, and lead smelter, respectively. These results suggested that this study results will be help for $PM_{2.5}$ source apportionment studies at similar metropolitan area, establish $PM_{2.5}$ standard, and establish effective emissions reduction strategies in Korea.

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참고문헌

  1. 황인조, 김동술(2003) PMF 모델을 이용한 대기 중 PM-10 오염원의 확인, 한국대기환경학회지, 19(6), 701- 717
  2. 황인조, 김동술, P.K. Hopke (2008) 미국 서부 해안 IMPROVE 측정소에 대한 대기 중 PM2.5의 오염원 기여도 추정, 한국대기환경학회지, 24(1), 30-42 https://doi.org/10.5572/KOSAE.2008.24.1.030
  3. Alpert, D.J. and P.K. Hopke (1981) A determination of the sources of airborne particles collected during the Regional Air Pollution Study, Atmospheric Environment, 15, 675-687 https://doi.org/10.1016/0004-6981(81)90272-9
  4. Babich, P., P.Y. Wang, G. Allen, C. Sioutas, and P. Koutrakis (2000) Development and evaluation of a continuous ambient PM2.5 mass monitor, Aerosol Science and Technology, 32, 309-324 https://doi.org/10.1080/027868200303641
  5. Chang, S.N., P.K. Hopke, G.E. Gordon, and S.W. Rheingrover (1988) Target -transformation factor analysis of airborne particulate samples selected by wind-trajectory analysis, Aerosol Sci. Technol., 8, 63-80 https://doi.org/10.1080/02786828808959171
  6. Gatz, D.F. (1978) Identification of aerosol sources in the St. Louis area using factor analysis, Journal of the Applied Meteorology, 17, 600-608 https://doi.org/10.1175/1520-0450(1978)017<0600:IOASIT>2.0.CO;2
  7. Glover, D.M., P.K. Hopke, S.J. Vermette, S. Landsberger, and D.R. D'Auben (1991) Source apportionment with site specific source profiles, Journal of Air & Waste Management Association, 41, 294-305
  8. Henry, R.C., Y.-S. Chang, and C.H. Spiegelman (2002) Location nearby sources of air pollution by nonparametric regression of atmospheric concentrations on wind direction, Atmospheric Environment, 36, 2237-2244 https://doi.org/10.1016/S1352-2310(02)00164-4
  9. Hopke, P.K., R.E. Lamb, and D.F.S. Natusch (1980) Multielemental characterization of urban roadway dust, Environmental Science Technology, 14, 164-172 https://doi.org/10.1021/es60162a006
  10. Hwang, I.J. and P.K. Hopke (2006) Comparison of source apportionments of fine particulate matter at two San Jose STN sites, Journal of the Air and Waste Management Association, 56, 1287-1300 https://doi.org/10.1080/10473289.2006.10464586
  11. Hwang, I.J. and P.K. Hopke (2007) Estimation of source apportionment and potential source locations of PM2.5 at a west coastal IMPROVE site, Atmospheric Environment, 41, 506-518 https://doi.org/10.1016/j.atmosenv.2006.08.043
  12. Hwang, I.J., P.K. Hopke, and J.P. Pinto (2008) Source apportionment and spatial distributions of coarse particles during the Regional Air Pollution Study, Environmental Science and Technology, 42, 3524-3530 https://doi.org/10.1021/es0716204
  13. Kim, E. and P.K. Hopke (2004) Comparison between conditional probability function and nonparametric regression for fine particle source directions, Atmospheric Environment, 38, 4667-4673 https://doi.org/10.1016/j.atmosenv.2004.05.035
  14. Lee, J.H., P.K. Hopke, and J.R. Turner (2006) Source identification of airborne PM2.5 at the St. Louis-Midwest Supersite, Journal of Geophysical Research, 111, D10S10, doi:10.1029/2005JD006329
  15. Liu, C.K., B.A. Roscoe, K.G. Severin, and P.K. Hopke (1982) The application of factor analysis to source apportionment of aerosol mass, American Industrial Hygiene Association, 43, 314-318 https://doi.org/10.1080/15298668291409794
  16. Malm, W.C., J.F. Sisler, D. Huffman, R.A. Eldred, and T.A. Cahill (1994) Spatial and seasonal trends in particle concentration and optical extinction in the United States, Journal of Geophysical Research, 99(D1) 1347-1370 https://doi.org/10.1029/93JD02916
  17. Paatero, P. (1997) Least squares formulation of robust nonnegative factor analysis, Chemometrics and Intelligent Laboratory Systems, 37, 23-35 https://doi.org/10.1016/S0169-7439(96)00044-5
  18. Paatero, P. and P.K. Hopke (2003) Discarding or downweighting high-noise variables in factor analytic models, Analytica Chimica Acta, 490, 277-289 https://doi.org/10.1016/S0003-2670(02)01643-4
  19. Polissar, A.V., P.K. Hopke, P. Paatero, W.C. Malm, and J.F. Sisler (1998) Atmospheric aerosol over Alaska 2. Elemental composition and sources, Journal of Geophysical Research, 103(D15), 19045-19057 https://doi.org/10.1029/98JD01212
  20. Rheingrover, S.W. and G.E. Gordon (1988) Wind-trajectory method for determining compositions of particles from major air pollution sources, Aerosol Sci. Technol., 8, 29-61 https://doi.org/10.1080/02786828808959170
  21. Sioutas, C., S.N. Pandis, D.T. Allen, and P.A. Solomom (2004) Preface: Special issue of Atmospheric Environment on findings from EPAs Particulate Matter Supersites Program, Atmospheric Environment, 38, 3101-3106 https://doi.org/10.1016/j.atmosenv.2004.03.001
  22. Solomon, P. and C. Sioutas (2006) Continuous and Semi-continuous Methods for PM Mass and Composition, A&WMA's Magazine for Environmental Managers, April 2006, 17-23
  23. U.S. EPA (1981) Aerosol analysis for the Regional Air Pollution Study, EPA 600/4-81-006, Research Triangle Park, NC
  24. U.S. EPA (1997) National Ambient Air Quality Standards for Particulate Matter; Final Rule, 40 CFR Parts 50, 53, and 58; Fed. Regist., July 18.
  25. U.S. EPA (1998) Guideline on Speciated Particulate Monitoring, U.S. Environmental Protection Agency, Research Triangle Park, NC
  26. U.S. EPA (1999) Particulate Matter (PM2.5) Speciation Guidance (Final Draft), U.S. Environmental Protection Agency, Research Triangle Park, NC.
  27. US EPA (2007) St. Louis-Midwest fine particulate matter Supersite; Quality assurance final report, No. R- 82805801
  28. Zhou, L., P.K. Hopke, P. Paatero, J.M. Ondov, J.P. Pancras, N.J. Pekney, and C.I. Davidson (2004) Advanced factor analysis for multiple time resolution aerosol composition data, Atmospheric Environment, 38, 4909-4920 https://doi.org/10.1016/j.atmosenv.2004.05.040

피인용 문헌

  1. at Western National Park Site in USA vol.26, pp.1, 2010, https://doi.org/10.5572/KOSAE.2010.26.1.021
  2. Research Trends of Receptor Models in Korea and Foreign Countries and Improvement Directions for Air Quality Management vol.29, pp.4, 2013, https://doi.org/10.5572/KOSAE.2013.29.4.459
  3. in Seoul, Korea vol.8, pp.3, 2014, https://doi.org/10.5572/ajae.2014.8.3.115