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미국 서부 국립공원 지역의 미국 서부 국립공원 지역의 PM2.5에 대한 오염원 확인 및 기여도 추정
Source Identification and Estimation of Source Apportionment of Ambient PM2.5 at Western National Park Site in USA

황인조    (대구대학교 환경공학과  );
  • 초록

    The objective of this study was to estimate the $PM_{2.5}$ source apportionment at the Pinnacles National Monument IMPROVE site in western coastal USA. The PMF was applied to identify the existing sources and apportion the $PM_{2.5}$ mass to each source. To analyze local source impacts from various wind directions, the NPR analysis was performed using source contribution results with the wind direction values measured at the site. Also, PSCF was applied to identify the locations by point sources relative to the back trajectories. A total of 1,634 samples were collected from March 1988 to May 2004 by IMPROVE sampler and 32 chemical species were analyzed by PIXE, PESA, XRF, IC, and TOR methods. The PMF modeling identified seven sources and the average mass was apportioned to gasoline vehicle, secondary sulfate, aged sea salt, secondary nitrate, wood/field burning, diesel emission, and soil, respectively. In this study, the average mass was apportioned to gasoline vehicle (33.0%), secondary sulfate (25.7%), aged sea salt (17.8%), and secondary nitrate (10.1%). Also, this study suggests the possible role for source apportionment study of $PM_{2.5}$ at similar areas such as wildness, national park, and coastal areas in Korea.


  • 주제어

    IMPROVE .   $PM_{2.   5}$ .   PMF .   Source apportionment .   NPR .   PSCF.  

  • 참고문헌 (24)

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    8. Chow, J.C., J.G. Watson, D. Crow, and D.H. Lowenthal (2001) Comparison of IMPROVE and NIOSH carbon measurements, Aerosol Science and Technology, 34, 23- 34. 
    9. Falke, S.R., R.B. Husar, and B.A. Schichtel (2001) Fusion of SeaWiFS and TOMS satellite data with surface observations and topographic data during extreme aerosl events, Journal of the Air and Waste Management Association, 51, 1579-1585. 
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    12. Huffman, H.D. (1996) Comparison of the light absorption coefficient and carbon measures for remote aerosols: an independent analysis of data from the IMPROVE network, Atmospheric Environment, 30(1), 73-83. 
    13. Hwang, I.J. (2009) Estimation of source apportionment for semi-continuous $PM_{2.5}$ and idenfication of location for local point sources at the St. Louis Supersite, USA, Korean J. of Atmos. Environ., 25(2), 154-166. (in Korean with English abstract)     
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    15. Hwang, I.J. and P.K. Hopke (2007) Estimation of source apportionment and potential source locations of $PM_{2.5}$ at a west coastal IMPROVE site, Atmospheric Environment, 41, 506-518. 
    16. Hwang, I.J., D.S. Kim, and P.K. Hopke (2008) Estimation of source apportionment of ambient $PM_{2.5}$ at western coastal IMPROVE site in USA, Korean J. of Atmos. Environ., 24(1), 30-42. (in Korean with English abstract)     
    17. 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. 
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  • 이 논문을 인용한 문헌 (4)

    1. Park, Seung-Shik ; Ko, Jae-Min ; Lee, Dong-Soo 2012. "Application of Semi-continuous Ambient Aerosol Collection System for Elemental Analysis" 한국대기환경학회지 = Journal of Korean Society for Atmospheric Environment, 28(1): 39~51     
    2. Hwang, InJo ; Kim, Dong-Sool 2013. "Research Trends of Receptor Models in Korea and Foreign Countries and Improvement Directions for Air Quality Management" 한국대기환경학회지 = Journal of Korean Society for Atmospheric Environment, 29(4): 459~476     
    3. Jeong, YeongJin ; Hwang, InJo 2015. "Source Apportionment of PM2.5 in Gyeongsan Using the PMF Model" 한국대기환경학회지 = Journal of Korean Society for Atmospheric Environment, 31(6): 508~519     
    4. Li, Kai Chao ; Hwang, InJo 2015. "Characteristics of PM2.5 in Gyeongsan Using Statistical Analysis" 한국대기환경학회지 = Journal of Korean Society for Atmospheric Environment, 31(6): 520~529     

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