Journal of Korean Society for Atmospheric Environment (한국대기환경학회지)

Korean Society for Atmospheric Environment (한국대기환경학회)
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Assessment of Changed Input Modules with SMOKE Model

SMOKE 모델의 입력 모듈 변경에 따른 영향 분석

  • Kim, Ji-Young (Environmental Cap System Research Department, National Institute of Environmental Research) ;
  • Kim, Jeong-Soo (Global Environment Research Center, National Institute of Environmental Research) ;
  • Hong, Ji-Hyung (Environmental Cap System Research Department, National Institute of Environmental Research) ;
  • Jung, Dong-Il (Environmental Cap System Research Department, National Institute of Environmental Research) ;
  • Ban, Soo-Jin (Global Environment Research Center, National Institute of Environmental Research) ;
  • Lee, Yong-Mi (Environmental Cap System Research Department, National Institute of Environmental Research)
  • 김지영 (국립환경과학원 환경총량관리연구부 대기총량과) ;
  • 김정수 (국립환경과학원 지구환경연구소) ;
  • 홍지형 (국립환경과학원 환경총량관리연구부 대기총량과) ;
  • 정동일 (국립환경과학원 환경총량관리연구부 대기총량과) ;
  • 반수진 (국립환경과학원 지구환경연구소) ;
  • 이용미 (국립환경과학원 환경총량관리연구부 대기총량과)
  • Published : 2008.06.30
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Abstract

Emission input modules was developed to produce emission input data and change some profiles for Sparse Matrix Operator Kernel Emissions (SMOKE) using Clean Air Policy Support System (CAPSS)'s activities and previous studies. Specially, this study was focused to improve chemical speciation and temporal allocation profiles of SMOKE. At first, SCC cord mapping was done. 579 SCC cords of CAPSS were matched with EPA's one. Temporal allocation profiles were changed using CAPSS monthly activities. And Chemical speciation profiles were substituted using Kang et al. (2000) and Lee et al. (2005) studies and Kim et al. (2005) study. Simulation in Seoul Metropolitan Area (Seoul, Incheon, Gyeonggi) using MM5, SMOKE and CMAQ modeling system was done for effect analysis of changed input modules of SMOKE. Emission model results adjusted with new input modules were slightly changed as compared to using EPA's default modules. SMOKE outputs shows that aldehyde emissions were decreased 4.78% after changing chemical profiles, increased 0.85% after implementing new temporal profiles. Toluene emissions were decreased 18.56% by changing chemical speciation profiles, increased 0.67% by replacing temporal profiles as well. Simulated results of air quality were also slightly elevated by using new input modules. Continuous accumulation of domestic data and studies to develop input system for air quality modeling would produce more improved results of air quality prediction.

Keywords

References

  1. 강병욱, 이학성, 김희강(2000) 수용모델을 이용한 청주시 미세입자(PM2.5)의 기여도 추정, 한국대기환경학회지, 16(5), 477-485
  2. 김동영, 최상민, 조규탁(2004) 대기질 모델링을 위한 배출모형의 개발, 한국대기환경학회 2004 춘계학술대회 논문집, 74-75
  3. 김소영, 한진석, 김희강(2001) 휘발성 유기화학물의 주요배출원의 배출물질 구성비에 관한 연구-오존 생성 전구 물질을 중심으로, 한국대기환경학회지, 17(3), 233-240
  4. 김신도, 김영준, 조석연, 김종호, 김동술, 조용성(2005) 미세먼지 생성과정 규명과 저감대책 수립, 국립환경과학원, 274-290
  5. 김정수(2002) 대기질 예측 모델링을 위한 대기오염물질 배출량의 시간변화 고려 기법, 서울시립대학교
  6. 이종범, 김용국, 김태우, 방소영, 정유정(1997) 광화학 확산모델 적용을 위한 수도권지역의 대기오염물질 배출량 산출, 한국대기보전학회지, 13(2), 123-135
  7. 이학성, 강충민, 강병욱, 이상권(2005) 수용모델을 이용한 서울지역 미세입자(PM2.5)에 영향을 미치는 배출원 특성에 관한 연구, 한국대기환경학회지, 21(3), 329-341
  8. Diaz, L.A., G.D. Reed, and J.S. Fu (2005) Source Apportionment of Diesel Particulate Matter in the Southeastern United States Using Models-3/CMAQ, 14th Annual International Emission inventory Conference
  9. Hogrefe, C., P.S. Porter, E. Gego, A. Gilliland, R. Gilliam, J. Swall, J. Irwin, and S.T. Rao (2006) Temporal features in observed and simulated meteorology and air quality over the Eastern United States, Atmospheric Environment, 40(26), 5041-5055 https://doi.org/10.1016/j.atmosenv.2005.12.056
  10. Jose, R.S., J.L. Perez, and R.M. Gonzalez (2007) An operational real-time air quality modelling system for industrial plants, Environmental Modelling and Software, 22(3) 297-307 https://doi.org/10.1016/j.envsoft.2005.07.030
  11. Kim, E., T.V. Larson, P.K. Hopke, C. Slaughter, L.E. Sheppard, and C. Claiborn (2003) Source identification of PM2.5 in an arid Northwest U.S. city by positive matrix factorization, Atmospheric Research, 66, 291-305 https://doi.org/10.1016/S0169-8095(03)00025-5

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