DOI QR코드

DOI QR Code

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

대기질 모사를 통한 인접지역 배출량이 광양만 오존농도에 미치는 영향분석 - 2010년 6월 사례를 중심으로

Kim, Soon-Tae;Lee, Chong-Bum
김순태;이종범

  • Received : 2011.07.06
  • Accepted : 2011.08.31
  • Published : 2011.10.31

Abstract

Simulations of CMAQ with the High-order Decoupled Direct Method (HDDM) for a 2010 June episode are applied to estimate the influence of local and neighborhood emissions on ozone concentrations in the Kwang-Yang Bay (KYB) area. In order to examine ozone response to reductions in $NO_x$ and VOC emissions from KYB and Gyeongsang, ozone isopleths are generated with the first and second-order sensitivity coefficients from HDDM simulations at three sites; Taein, Samil, and Gwangmoo. Simulations show that reduction in KYB $NO_x$ may increase ozone over the sites. On the contrary, $NO_x$ reduction from Gyeongsang may decrease ozone at the sites when transport of ozone and its precursors from upwind Gyeongsang is potentially high. However, VOC reductions from KYB and Gyeongsang are favorable to lower ozone over KYB. The study implies that emission reductions for both local and neighboring areas are likely more effective to bring KYB to ozone attainment.

Keywords

Kwang-Yang Bay;Ozone;Local and neighborhood emissions;Air quality simulation;HDDM

References

  1. Byun, D.W. and J.K.S. Ching (1999) Science Algorithms of the EPA Models-3 Community Multi-scale Air Quality (CMAQ) Modeling System, EPA Report, EPA/600/R-99/030, NERL, Research Triangle Park, NC.
  2. Byun, D.W. and K.L. Schere (2006) Review of the Governing Equations, Computational Algorithms, and Other Components of the Models-3 Community Multiscale Air Quality (CMAQ) Modeling System, Applied Mechanics Reviews, 59(2), 51-77. https://doi.org/10.1115/1.2128636
  3. Carter, W.P.L. (1999) Documentation of the SAPRC-99 Chemical Mechanism for VOC Reactivity Assessment, Final Report to the California Air Resources Board, Contracts No. 92-329 and No. 95-308.
  4. Chun, T.H., C.B. Lee, J.C. Kim, and S.T. Kim (2010) Simulation of Ozone Concentration in Gwangyang-Bay Area Using WRF-CMAQ Model, Proceeding of the 51st Meeting of KOSAE (2010), 135.
  5. CMAS (2010) Community Modeling and Analysis System web page, Available at http://www.cmascenter.org (accessed 2010).
  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. Derwent, R.G., M.E. Jenkin, and S.M. Saunders (1996) Photochemical ozone creation potentials for a large number of reactive hydrocarbons under European conditions, Atmospheric Environment, 30, 181-199. https://doi.org/10.1016/1352-2310(95)00303-G
  8. Draxler, R.R. and G.D. Rolph (2011) HYSPLIT (HYbrid Single-Particle Lagrangian Integrated Trajectory) Model access via NOAA ARL READY (http://ready.arl.noaa.gov/HYSPLIT.php), NOAA Air Resources Laboratory, Silver Spring, MD.
  9. ENVIRON (2008) Higher-Order Decoupled Direct Method (HDDM) for Ozone Modeling Sensitivity Analyses and Code Refinements, Final report to the Texas Commission on Environmental Quality, Work Order 582-07-84005-FY08-07, Novato, CA.
  10. ENVIRON (2010) User's guide to the Comprehensive Air Quality Model with Extension (CAMx) version 5.30. http://www.camx.com.
  11. Gillani, N.V. and J.E. Pleim (1996) Sub-grid-scale features of anthropogenic emissions of $NO_x$ and VOC in the context of regional Eulerian models, Atmospheric Environment, 30, 2043-2059. https://doi.org/10.1016/1352-2310(95)00201-4
  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. Ha, H., S.D. Lee, J.K. Lee, C.O. Park, and T.R. Mun (2006) On characteristics of surface ozone concentration and temporal∙spatial distribution in Kwangyang- Bay, Journal of Korean Society for Atmospheric Environment, 22(5), 642-652. (in Korean with English abstract)
  14. Hogrefe, C., G. Sistla, E. Zalewsky, W. Hao, and J.Y. Ku (2003) An assessment of the emissions inventory processing systems EMS-2001 and SMOKE in grid-based air quality models, J. Air Waste Manage. Assoc., 53(9), 1121-1129. https://doi.org/10.1080/10473289.2003.10466261
  15. Kim, S., C.H. Bae, H.W. Han, and J.B. Lee (2010) Analysis of High Ozone Concentrations with CAMQ and HDDM in the Gwangyang-Bay Area for June 2010, Proceeding of the 51st Meeting of KOSAE, 136.
  16. 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
  17. Kim, S., N.K. Moon, and D.W. Byun (2008) Korean 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
  18. Korea Environment Institute (2006) Air Quality Modeling System- Development of Emissions Preparation System with the CAPSS, Final report, Seoul, Korea.
  19. Lee, S.D. (2003) Numerical simulation modeling of ozone concentration in Kwangyang Bay, Korea, J. of KSEE, 25(3), 287-294. (in Korean with English abstract)
  20. National Institute of Environmental Research (2010) 고농도 오존발생 원인 규명을 위한 정밀 조사(II), Final report.
  21. Rolph, G.D. (2011) Real-time Environmental Applications and Display sYstem (READY) (http://ready.arl.noaa.gov), NOAA Air Resources Laboratory, Silver Spring.
  22. Seinfeld, J.H. and S. Pandis (1998) Atmospheric Chemistry and Physics, Wiley Interscience, New York.
  23. Shon, Z.H., S.K. Song, and G.W. Lee (2010) Photochemical analysis of ozone levels in the gulf of Gwangyang in the spring and summer of 2009, Journal of Korean Society for Atmospheric Environment, 26(2), 161-176. (in Korean with English abstract) https://doi.org/10.5572/KOSAE.2010.26.2.161
  24. Sillman, S. (1999) The relation between ozone, $NO_x$ and hydrocarbons in urban and polluted rural environments, Atmospheric Environment, 33, 1821-1845. https://doi.org/10.1016/S1352-2310(98)00345-8
  25. 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

Cited by

  1. 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 vol.27, pp.6, 2011, https://doi.org/10.5572/KOSAE.2011.27.6.772
  2. Simulation of Air Quality Over South Korea Using the WRF-Chem Model: Impacts of Chemical Initial and Lateral Boundary Conditions vol.25, pp.4, 2015, https://doi.org/10.14191/Atmos.2015.25.4.639
  3. Analysis of Domestic and Foreign Contributions using DDM in CMAQ during Particulate Matter Episode Period of February 2014 in Seoul vol.32, pp.1, 2016, https://doi.org/10.5572/KOSAE.2016.32.1.082
  4. Domestic Ozone Sensitivity to Chinese Emissions Inventories: A Comparison between MICS-Asia 2010 and INTEX-B 2006 vol.33, pp.5, 2017, https://doi.org/10.5572/KOSAE.2017.33.5.480

Acknowledgement

Grant : 고농도 오존발생 원인 규명을 위한 정밀조사(II)

Supported by : 국립환경과학원