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Numerical Simulation and Process Analysis Using the MM5-CMAQ in Yangsan on High Ozone Days during Spring and Summer

MM5-CMAQ 모델 시스템을 이용한 양산지역 봄, 여름 고농도 오존일의 발생과정별 기여도 평가

  • Kim, Yoo-Keun (Division of Earth Environmental System, Pusan National University) ;
  • Park, Sang-Hyun (Environment Division, Korea Engineering Consultants Corporation) ;
  • Kang, Jae-Eun (Division of Earth Environmental System, Pusan National University) ;
  • Song, Sang-Keun (Division of Earth Environmental System, Pusan National University)
  • 김유근 (부산대학교 지구환경시스템학부 대기과학) ;
  • 박상현 ((주)한국종합기술) ;
  • 강재은 (부산대학교 지구환경시스템학부 대기과학) ;
  • 송상근 (부산대학교 지구환경시스템학부 대기과학)
  • Received : 2008.02.29
  • Accepted : 2009.11.17
  • Published : 2010.03.31

Abstract

The relative contributions of physical and chemical processes to the production of ozone ($O_3$) were evaluated based on an integrated process rate (IPR) analysis using the MM5/CMAQ in a downtown (i.e., Yangsan_U) and suburban area (i.e., Ungsang) on high ozone days during spring and summer in 2006 (28 April and 8 August 2006). The IPR includes a horizontal advection (HADV) and diffusion (HDIF), a vertical advection (ZADV) and diffusion (VDlF), a dry deposition (DDEP), and a chemistry (CHEM). The VDIF in Yangsan_U was found to be the most dominant contributor (29.5% in spring and 32.1% in summer) to high $O_3$ concentrations, followed by the HADV and ZADV. In contrast, the contributions of the HADV (40.3% in spring and 32.3% in summer) in Ungsang were significantly higher than those of VDIF and ZADV. Moreover, $O_3$ production due to the chemical effect in the two areas (especially in Ungsang) during summer was found to be moderately higher than that during spring.

Keywords

References

  1. 국립환경과학원, 2006, (대도시 대기질 관리방안 조사 연구 V) 광화학 대기오염의 생성과정 규명과 저감대책 수립, 국립환경과학원, 789.
  2. 김유근, 오인보, 황미경, 2003, UAM-V를 이용한 부산지역 고농도 오존사례 수치모의, 한국대기환경학회지, 19(1), 1-11.
  3. 문난경, 이영수, 강영현, 김영하, 2005, 환경영향평가시 대기확산모델의 적용에 관한 연구, 한국환경정책.평가연구원, 153.
  4. 양산시, 2007, 양산시 대기오염 특성분석 및 대기환경 개선방안 수립 최종보고서(1차년도), 양산시, 484.
  5. 이화운, 최현정, 이강열, 2005, 객관 분석에 의한 복잡지형의 대기유동장 수치모의와 모델에 의한 자료질 조절효과, 한국대기환경학회지, 21(1), 97-105.
  6. 전병일, 김유근, 이화운, 1997, 부산연안역에서 국지풍모델을 이용한 오존농도의 수치모의, 한국환경과학회지, 6(4), 335-350.
  7. 환경관리공단, 2006, 전국실시간대기오염도, http://www.airkorea.or.kr/.
  8. Dudhia, J., Dave, G., Kevin, M., Wei, W., Cindy, B., 2003, PSU/NCAR Mesoscale Modeling System tutorial class notes and user's guide: MM5 modeling system version 3, National Center for Atmospheric Research(NCAR).
  9. Grell, G., Dudhia, J., Stauffer, D., 1995, A description of the Fifth-Generation Penn State/NCAR Mesoscale Model (MM5), NCAR Tech. notes, NCAR/TN-398+STR.
  10. Huang, J. P., Fung, J. C. H., 2005, Numerical simulation and process analysis of typhoon-related ozone epi-sodes in Hong Kong, J. Geophys. Res., 110, D05301. https://doi.org/10.1029/2004JD004914
  11. Jose, R. S., Perez, J. L., Pleguezuelos, C., Camacho, F., Gonzalez, R. F., 2003, MM5-CMAQ Air Quality Modeling process analysis: Madrid case, Air Pollution X(Ecology and the Environment volume 53), 840.
  12. Lee, S. H., Kim, Y. K., Kim, H. S., Lee, H. W., 2007, Influence of dense surface meteorological data as-similation on the prediction accuracy of ozone pol-lution in the southeastern coastal area of the Korean Peninsula, Atmos. Environ., 41(21), 4451-4465. https://doi.org/10.1016/j.atmosenv.2007.01.050