한국대기환경학회지 (Journal of Korean Society for Atmospheric Environment)

  • 제27권1호
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  • Pages.30-40
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  • 2011
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  • 1598-7132(pISSN)
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  • 2383-5346(eISSN)
한국대기환경학회 (Korean Society for Atmospheric Environment)
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기상 입력 자료가 연안지역 고농도 오존 수치 모의에 미치는 영향

Numerical Study on the Impact of Meteorological Input Data on Air Quality Modeling on High Ozone Episode at Coastal Region

  • 전원배 (부산대학교 지구환경시스템학부) ;
  • 이화운 (부산대학교 지구환경시스템학부) ;
  • 이순환 (부산대학교 환경문제연구소) ;
  • 최현정 (부산대학교 지구환경시스템학부) ;
  • 김동혁 (부산대학교 지구환경시스템학부) ;
  • 박순영 (부산대학교 지구환경시스템학부)
  • Jeon, Won-Bae (Division of Earth Environmental System, Pusan National University) ;
  • Lee, Hwa-Woon (Division of Earth Environmental System, Pusan National University) ;
  • Lee, Soon-Hwan (Institute of Environment Studies, Pusan National University) ;
  • Choi, Hyun-Jung (Division of Earth Environmental System, Pusan National University) ;
  • Kim, Dong-Hyuk (Division of Earth Environmental System, Pusan National University) ;
  • Park, Soon-Young (Division of Earth Environmental System, Pusan National University)
  • 투고 : 2010.06.28
  • 심사 : 2010.11.22
  • 발행 : 2011.02.28
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초록

Numerical simulations were carried out to investigate the impact of SST spatial distribution on the result of air quality modeling. Eulerian photochemical dispersion model CAMx (Comprehensive Air quality Model with eXtensions, version 4.50) was applied in this study and meteorological fields were prepared by RAMS (Regional Atmospheric Modeling System). Three different meteorological fields, due to different SST spatial distributions were used for air quality modeling to assess the sensitivity of CAMx modeling to the different meteorological input data. The horizontal distributions of surface ozone concentrations were analyzed and compared. In each case, the simulated ozone concentrations were different due to the discrepancies of horizontal SST distributions. The discrepancies of land-sea breeze velocity caused the difference of daytime and nighttime ozone concentrations. The result of statistic analysis also showed differences for each case. Case NG, which used meteorological fields with high resolution SST data was most successfully estimated correlation coefficient, root mean squared error and index of agreement value for ground level ozone concentration. The prediction accuracy was also improved clearly for case NG. In conclusion, the results suggest that SST spatial distribution plays an important role in the results of air quality modeling on high ozone episode at coastal region.

키워드

참고문헌

  1. Choi, H.-J., H.W. Lee, and K.-H. Sung (2007) Air quality modeling of ozone concentration according to the roughness length on the complex terrain, J. Korean Soc. Atmos. Environ., 23(4), 430-439. (in Korean with English abstract) https://doi.org/10.5572/KOSAE.2007.23.4.430
  2. ENVIRON (2008) USER'S GUIDE, http://www.camx.com.
  3. Jeon, W.-B., H.W. Lee, S.-H. Lee, H.-J. Choi, and H.H. Leem (2009) Numerical study on the impact of SST spacial distribution on regional circulation, J. Korean Soc. Atmos. Environ., 25(4), 304-315. (in Korean with English abstract) https://doi.org/10.5572/KOSAE.2009.25.4.304
  4. Lee, H.W., H.Y. Won, H.-J. Choi, and H.G. Kim (2005) Numerical simulation of effects of atmospheric flow fields using surface observational data on dispersion fields of air pollutants in Gwangyang Bay, J. Korean Soc. Atmos. Environ., 21(2), 169-178. (in Korean with English abstract)
  5. Lee, H.W., H.Y. Won, H.-J. Choi, and K.-Y. Lee (2005) Numerical simulation of effect on atmospheric flow field using high resolution terrain height data in complex coastal regions, J. Korean Soc. Atmos. Environ., 21(2), 179-189. (in Korean with English abstract)
  6. Lee, H.W., H.-J. Choi, S.H. Lee, H.H. Leem, K.-Y. Lee, K.-H. Sung, W.-S. Jung, J.-I. Park, and N.-K. Moon (2007) The air quality modeling according to the emission scenarios on complex area, J. Environ. Sci., 16(8), 921-928.
  7. Lin, C.-Y., Z. Wang, C.C.-K. Chou, C.-C. Chang, and S.C. Liu (2007) A numerical study of an autumn high ozone episode over southwestern Taiwan, Atmos. Environ., 41, 3684-3701. https://doi.org/10.1016/j.atmosenv.2006.12.050
  8. Ministry of Environment (2008) Annual Report of Ambient Air Quality in Korea, 2007.
  9. Pirovano, G., I. Coll, M. Bedogni, S. Alessandrini, M.P. Costa, V. Gabusi, F. Lasry, L. Menut, and R. Vautard (2007) On the influence of meteorological input on photochemical medelling of a severe episode over a coastal area, Atmos. Environ., 41, 6445-6464. https://doi.org/10.1016/j.atmosenv.2007.04.011
  10. Stauffer, D.R., N.L. Seaman, G.K. Hunter, S.M. Leidner, and A. Lario-Gibbs (2000) A field-coherence technique for meteorological field-program design for air quality studied. Part I: Description and interpretation, J. Appl. Meteor., 39, 297-316. https://doi.org/10.1175/1520-0450(2000)039<0297:AFCTFM>2.0.CO;2
  11. Taha, H. (2008) Urban surface modification as a potential ozone air-quality improvement strategy in California: A mesoscale modelling study, Boundary-Layer Meteorol, 127, 219-239. https://doi.org/10.1007/s10546-007-9259-5
  12. Umeda, T. and P.T. Martien (2000) Evaluation of a data assimilation technique for a mesoscale meteorological model used for air quality modeling, J. Appl. Meteor., 41, 21-29.

피인용 문헌

  1. A Study on Effect of Improvement Plan for Wind Energy Forecasting vol.31, pp.1, 2015, https://doi.org/10.5572/KOSAE.2015.31.1.001