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Ozone Simulations over the Seoul Metropolitan Area for a 2007 June Episode, Part V: Application of CMAQ-HDDM to Predict Ozone Response to Emission Change

2007년 6월 수도권 오존모사 V - 배출량 변화에 따른 오존농도 예측 시 민감도기법 적용

  • Kim, Soon-Tae (Division of Environmental, Civil & Transportation Engineering, Ajou University)
  • 김순태 (아주대학교 환경건설교통공학부)
  • Received : 2011.08.09
  • Accepted : 2011.10.04
  • Published : 2011.12.31

Abstract

In this paper, we use the HDDM (High-order Decoupled Direct Method)-driven ozone sensitivity to predict change in ozone concentrations in response to domain-wide $NO_x$(Oxides of Nitrogen) and VOC (Volatile Organic Compound) emission controls over the Seoul Metropolitan Area during June 11~19, 2007. In order to validate the applicability of HDDM to $NO_x$ and VOC control scenarios, the HDDM results are compared to Brute Force Method (BFM). For VOC controls, NME (Normalized Mean Error) between BFM and HDDM remains less than 2% until the domain-wide VOC emissions are reduced by 80%. The NME for a 40% reduction in the domain-wide $NO_x$ emissions is less than 5% but increases abruptly after further reductions in the $NO_x$ emissions (i.e., 80% reduction). The results indicates that it may be inaccurate to use ozone sensitivity coefficients estimated at a given base emission condition in predicting ozone after $NO_x$ reductions larger than ~50% of the domain total in the SMA. Therefore, HDDM application on piecewise emissions is desirable to predict ozone response to emission controls with accuracy (i.e., truck emissions rather than the domain total). For computational efficiency, HDDM shows approximately 30% faster than the BFM sensitivity approach.

Keywords

References

  1. 국립환경과학원(2010) 대기질 모델링 가이드 라인(안) 마련 연구, 최종보고서.
  2. Benjey, W., M. Houyoux, and J. Susick (2001) Implementation of the SMOKE emissions data processor and SMOKE Tool input data processor in Models-3, U.S. EPA.
  3. Blancharda, C.L. and D. Fairley (2001) Spatial mapping of VOC and $NO_x$-limitation of ozone formation in central California, Atmospheric Environment, 35(22), 3861-3873. https://doi.org/10.1016/S1352-2310(01)00153-4
  4. Chang, K.H. (2008) Modeling approach for emissions reduction of $O_3$ precursors in Southern Taiwan, Atmospheric Environment, 42(28), 6733-6742. https://doi.org/10.1016/j.atmosenv.2008.05.037
  5. Cohan, D.S. (2004) Applicability of CMAQ-DDM to Source Apportionment and Control Strategy Development, 3rd Annual CMAS Models-3 Users' Conference, October 18-20, 2004, Chapel Hill, NC.
  6. Cohan, D.S., A. Hakami, Y. Hu, and A.G. Russell (2005) Nonlinear response of ozone to emissions: Source apportionment and sensitivity analysis, Environ. Sci. Technol., 39, 6739-6748. https://doi.org/10.1021/es048664m
  7. Cohan, D.S., Y. Hu, A. Hakami, and A.G. Russell (2003) Sensitivity Analysis of Ozone in the southeast, 2003 Models-3 User's Workshop, October 27-29, 2003, Research Triangle Park, NC.
  8. Dodge, M. (1987) Chemistry of Oxidant Formation: Implications for Designing Effective Control Strategies, U.S. Environmental Protection Agency, Washington, D.C. EPA/600/D-87/114 (NTIS PB87179990).
  9. Doraiswamy, P., C. Hogrefe, W. Hao, K. Civerolo, J.Y. Ku, R. Henry, and G. Sistla (2007) Use of Air Quality Forecasting as a Diagnostic Tool over the Northeastern US, CMAS Conference, October 1-3, 2007, Chapel Hill, NC.
  10. ENVIRON (2008) Higher-Order Decoupled Direct Method (HDDM) for Ozone Modeling Sensitivity Analyses and Code Refinements, Final Report.
  11. ENVIRON (2010) User's guide to the Comprehensive Air Quality Model with Extension (CAMx) version 5.30. http://www.camx.com.
  12. Guenther, A., T. Karl, P. Harley, C. Wiedinmyer, P.I. Palmer, and C. Geron (2006) Estimates of global terrestrial isoprene emissions using MEGAN (Model of Emissions of Gases and Aerosols from Nature), Atmospheric Chemistry and Physics, 6, 3181-3210. https://doi.org/10.5194/acp-6-3181-2006
  13. Kim, J.Y., J.S. Kim, J.Y. Hong, D.I. Jung, S.J. Ban, and Y.M. Lee (2008a) Assessment of Changed Input Modules with SMOKE Model, Journal of Korean Society for Atmospheric Environment, 24(3), 284-299. (in Korean with English abstract) https://doi.org/10.5572/KOSAE.2008.24.3.284
  14. Kim, S., N. Moon, and D.W. Byun (2008b) Korea Emissions Inventory Processing Using the US EPA's SMOKE System, Asian Journal of Atmospheric Environment, 2(1), 34-46. https://doi.org/10.5572/ajae.2008.2.1.034
  15. Kim, S., D.W. Byun, and D. Cohan (2009) Contributions of inter- and intra-state emissions to ozone over Dallas-Fort Worth, Texas, Civ. Eng. Environ. Syst., 26, 103-116. https://doi.org/10.1080/10286600802005364
  16. Kim, S. and C.-B. Lee (2011) Estimating Influence of Local and Neighborhood Emissions on Ozone Concentrations over the Kwang-Yang Bay based on Air Quality Simulations for a 2010 June Episode, Journal of Korean Society for Atmospheric Environment, submitted for publication. (in Korean with English abstract) https://doi.org/10.5572/KOSAE.2011.27.5.504
  17. Kim, S. (2011a) Ozone Simulations over Seoul Metropolitan Area for a 2007 June Episode, Part I: Evaluating Volatile Organic Compounds Emissions Speciated for the SAPRC99 Chemical Mechanism, Journal of Korean Society for Atmospheric Environment, submitted for publication. (in Korean with English abstract) https://doi.org/10.5572/KOSAE.2011.27.5.580
  18. Kim, S. (2011b) Estimating Ozone Sensitivity Coefficients to $NO_x$ and VOC Emissions using BFM and HDDM for A 2007 June Episode, Journal of Korean Environmental Sciences Society, Korea, submitted for publication (in Korean with English abstract). https://doi.org/10.5322/JES.2011.20.11.1465
  19. Lee, Y.M., H.J. Lee, D.W. Lee, J.C. Kim, and J.H. Hong (2009) Sensitivity Analysis by Emission Control during the Episode of ozone in Seoul Metropolitan Areas, Proceeding of 48th Meeting of KOSAE, 529-530.
  20. Napelenok, S.L., D.S. Cohan, Y. Hu, and A.G. Russell (2006) Decoupled direct 3D sensitivity analysis for particulate matter(DDM-3D/PM), Atmospheric Environment, 40, 6112-6121. https://doi.org/10.1016/j.atmosenv.2006.05.039
  21. Napelenok, S.L., K.M. Foley, D. Kang, R. Mathur, T. Pierce, and S.T. Rao (2011) Dynamic evaluation of regional air quality model's response to emission reductions in the presence of uncertain emission inventories, Atmospheric Environment, 45, 4091-4098. https://doi.org/10.1016/j.atmosenv.2011.03.030
  22. NIER (2008) Air Quality Modeling System (II), Final report.
  23. Seinfeld, J.H. and S. Pandis (1998) Atmospheric Chemistry and Physics, Wiley Interscience, New York.
  24. Shon, Z.-H., K.-H. Kim, S.-K. Song (2011) Long-term trend in $NO_2$ and $NO_x$ levels and their emission ratio in relation to road traffic activities in East Asia, Atmospheric Environment, 45, 3121-3131.
  25. Tang, W., D.S. Cohan, G.A. Morris, D.W. Byun, and W.T. Luke (2011) Influence of vertical mixing uncertainties on ozone simulation in CMAQ, Atmospheric Environment, 45, 2898-2909. https://doi.org/10.1016/j.atmosenv.2011.01.057
  26. U.S. Environmental Protection Agency (2007) Guidance on the Use of Models and Other Analyses for Demonstrating Attainment of Air Quality Goals for Ozone, $PM_{2.5}$, and Regional Haze, Office of Air Quality Planning and Standards, Air Quality Analysis Division, Air Quality Modeling Group, Research Triangle Park, North Carolina.
  27. Wang, X., Y. Zhang, Y. Hub, W. Zhou, L. Zeng, M. Hu, D.S. Cohan, and A.G. Russell (2011) Decoupled direct sensitivity analysis of regional ozone pollution over the Pearl River Delta during the PRIDE-PRD 2004 campaign, Atmospheric Environment, 45, 4941-4949. https://doi.org/10.1016/j.atmosenv.2011.06.006
  28. Yang, Y.J., J. Wilkinson, and A.G. Russell (1997) Fast, direct sensitivity analysis of multidimensional photochemical models, Environ. Sci. Tech., 31, 2859-2868. https://doi.org/10.1021/es970117w
  29. Zhang, Q., D.G. Streets, G.R. Carmichael, K.B. He, H. Huo, A. Kannari, Z. Klimont, I.S. Park, S. Reddy, J.S. Fu, D. Chen, L. Duan, Y. Lei, L.T. Wang, and Z.L. Yao (2009) Asian emissions in 2006 for the NASA INTEX-B mission, Atmos. Chem. Phys., 9, 5131-5153. https://doi.org/10.5194/acp-9-5131-2009

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