Journal of Korean Society for Atmospheric Environment (한국대기환경학회지)

Korean Society for Atmospheric Environment (한국대기환경학회)
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A Study on the Utilization of Air Quality Model to Establish Efficient Air Policies: Focusing on the Improvement Effect of PM2.5 in Chungcheongnam-do due to Coal-fired Power Plants Shutdown

효율적인 대기정책 마련을 위한 대기질 모델 활용방안 고찰: 노후 석탄화력발전소 가동중지에 따른 충남지역 PM2.5 저감효과 분석을 중심으로

  • Nam, Ki-Pyo (Air Quality Forecasting Center, National Institute of Environmental Research) ;
  • Lee, Dae-Gyun (Air Quality Forecasting Center, National Institute of Environmental Research) ;
  • Lee, Jae-Bum (Air Quality Forecasting Center, National Institute of Environmental Research) ;
  • Choi, Ki-Cheol (Korea Environment Institute) ;
  • Jang, Lim-Seok (Air Quality Forecasting Center, National Institute of Environmental Research) ;
  • Choi, Kwang-Ho (Department of General Education, Namseoul University)
  • 남기표 (국립환경과학원 대기질통합예보센터) ;
  • 이대균 (국립환경과학원 대기질통합예보센터) ;
  • 이재범 (국립환경과학원 대기질통합예보센터) ;
  • 최기철 (한국환경정책.평가연구원) ;
  • 장임석 (국립환경과학원 대기질통합예보센터) ;
  • 최광호 (남서울대학교 교양과정부)
  • Received : 2018.09.18
  • Accepted : 2018.10.11
  • Published : 2018.10.31
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Abstract

In order to develop effective emission abatement strategies for coal-fired power plants, we analyzed the shutdown effects of coal-fired power plants on $PM_{2.5}$ concentration in June by employing air quality model for the period from 2013 to 2016. WRF (Weather Research and Forecast) and CMAQ(Community Multiscale Air Quality) models were used to quantify the impact of emission reductions on the averaged $PM_{2.5}$ concentrations in June over Chungcheongnam-do area in Korea. The resultant shutdown effects showed that the averaged $PM_{2.5}$ concentration in June decreased by 1.2% in Chungcheongnam-do area and decreased by 2.3% in the area where the surface air pollution measuring stations were located. As a result of this study, it was confirmed that it is possible to analyze policy effects considering the change of meteorology and emission and it is possible to quantitatively estimate the influence at the maximum impact region by utilizing the air quality model. The results of this study are expected to be useful as a basic data for analyzing the effect of $PM_{2.5}$ concentration change according to future emission changes.

Keywords

References

  1. Benjey, W., Houyoux, M., Susick, J. (2001) Implementation of the SMOKE emissions data processor and SMOKE tool input data processor in Models-3, U.S. EPA.
  2. Binkowski, F.S., Roselle, S.J. (2003) Models-3 Community Multiscale Air Quality (CMAQ) model aerosol component 1. Model description, Journal of Geophysicl Research, 108(D6), AAC 3-1-AAC 3-18.
  3. Byun, D.W., Ching, J.K.S. (1999) Science algorithms of the EPA Models-3 community multiscale air quality (CMAQ) modeling system, Washington, DC, USA: US Environmental Protection Agency, Office of Research and Development.
  4. Carter, W.P.L. (2010) Implementation of the SAPRC-99 chemical mechanism in the models-3 framework.
  5. Choi, D.R., Koo, Y.S., Jo, J.S., Jang, Y.K., Lee, J.B., Park, H.J. (2016) The effects of dust emissions on $PM_{10}$ concentration in East Asia, Journal of Korean Society for Atmospheric Environment, 32(1), 32-45. https://doi.org/10.5572/KOSAE.2016.32.1.032
  6. Guenther, A., Hewitt, C.N., Erickson, D., Fall, R., Geron, C., Graedel, T., Harley, P., Klinger, L., Lerdau, M., Mckay, W.A., Pierce, T., Scholes, B., Steinbrecher, R., Tallamraju, R., Taylor, J., Zimmerman, P. (1995) A global model of natural volatile organic compound emissions, Journal of Geophysical Research, 100, 8873-8892. https://doi.org/10.1029/94JD02950
  7. Hong, S.Y., Dudhia, J., Chen, S.H. (2004) A revised approach to ice microphysical processes for the bulk parameterization of clouds and precipitation, Monthly Weather Review, 132(1), 103-120. https://doi.org/10.1175/1520-0493(2004)132<0103:ARATIM>2.0.CO;2
  8. Hong, S.Y., Noh, Y., Dudhia, J. (2006) A new vertical diffusion package with and explicit treatment of entrainment processes, Monthly Weather Review, 134(9), 2318-2341. https://doi.org/10.1175/MWR3199.1
  9. Kain, J.S. (2004) The Kain-Fritsch convective parameterization: An update, Journal of Applied Meteorology, 43(1), 170-181. https://doi.org/10.1175/1520-0450(2004)043<0170:TKCPAU>2.0.CO;2
  10. Kim, B.U., Kim, O.G., Kim, H.C., Kim, S.T. (2016) Influence of fossil- fuel power plant emissions on the surface fine particulate matter in the Seoul Capital Area, South Korea, Journal of the Air and Waste Management Association, 66(9), 863-873. https://doi.org/10.1080/10962247.2016.1175392
  11. Kim, E.H., Bae, C.H., Yoo, C., Kim, B.U., Kim, H.C., Kim, S.T. (2018) Evaluation of the effectiveness of emission control measures to improve $PM_{2.5}$ concentration in South Korea, Journal of Korean Society for Atmospheric Environment, 34(3), 469-485. https://doi.org/10.5572/KOSAE.2018.34.3.469
  12. Kim, S.T., Kim, O.K., Kim, B.U., Kim, H.C. (2017a) Impact of emissions from major point sources in Chungcheongnam- do on surface fine particulate matter concentration in the surrounding area, Journal of Korean Society for Atmospheric Environment, 33(2), 159-173. https://doi.org/10.5572/KOSAE.2017.33.2.159
  13. Kim, H.C., Kim, E.H., Bae, C.H., Cho, J.H., Kim, B.H., Kim, S.T. (2017b) Regional contributions to particulate matter concentration in the Seoul metropolitan area, South Korea: seasonal variation and sensitivity to meteorology and emission inventory, Atmospheric Chemistry and Physics, 17(17), 10315-10332. https://doi.org/10.5194/acp-17-10315-2017
  14. Kim, Y.P. (2017) Research and policy directions against ambient fine particles, Journal of Korean Society for Atmospheric Environment, 33(3), 191-204. https://doi.org/10.5572/KOSAE.2017.33.3.191
  15. Lee, D.G., Lee, Y.M., Lee, M.H., Hong, S.C., Hong, J.H. (2013) Air Quality modeling guideline for national air policy development and evaluation: Part I General information, Journal of Environmental Impact Assessment, 22(5), 537-546. https://doi.org/10.14249/eia.2013.22.5.537
  16. Li, M., Zhang, Q., Kurokawa, J., Woo, J.H., He, K.B., Lu, Z., Ohara, T., Song, Y., Streets, D.G., Carmichael, G.R., Cheng, Y.F., Hong, C.P., Huo, H., Jiang, X.J., Kang, S.C., Liu, F., Su, H., Zheng, B. (2015) MIX: a mosaic Asian anthropogenic emission inventory for the MICS-Asia and the HTAP projects, Atmospheric Chemistry and Physics, Discuss, 15(23), 34-813.
  17. Louis, J.-F. (1979) A parametric model of vertical eddy fluxes in the atmosphere, Boundary-Layer Meteorology, 17(2), 187-202. https://doi.org/10.1007/BF00117978
  18. Mlawer, E.J., Taubman, S.J., Brown, P.D., Iacono, M.J., Clough, S.A. (1997) Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave, Journal of Geophysical Research: Atmospheres, 102(D14), 16663-16682. https://doi.org/10.1029/97JD00237
  19. Nam, K.P., Lim, Y.J., Park, J.H., Kim, D.R., Lee, J.B., Kim, S.M., Jung, D.H., Choi, K.C., Park, H.J., Lee, H.S., Jang, L.S., Kim, J.S. (2018) Analysis of the changes in $PM_{2.5}$ concentartions using WRF-CMAQ modeling system: Focusing on the fall in 2016 and 2017, Journal of Environmental Impact Assessment, 27(2), 215-231. https://doi.org/10.14249/EIA.2018.27.2.215
  20. National Centers for Environmental Prediction (NCEP) (2000) NCEP FNL operational model global tropospheric analysis, continuing from July, 1999, Research Data Archive at the National Center for Atmospheric Research, Computational and Information System Laboratory, https://doi.org/10.5065/D6M043C6 (accessed on Sep. 04, 2018).
  21. Pope III, C.A., Dockery, D.W. (2006) Health effects of fine particulate air pollution: Lines that connect, Journal of the Air & Waste Management Association, 56(6), 709-742. https://doi.org/10.1080/10473289.2006.10464485
  22. Pope III, C.A., Ezzati, M., Dockery, D.W. (2009) Fine-particulate air pollution and life expectancy in the United States, New England Journal of Medicine, 360(4), 376-386. https://doi.org/10.1056/NEJMsa0805646
  23. Seinfeld, J.H., Pandis, S.N. (2016) Atmospheric chemistry and pysics: From Air Pollution to Climate Change, third edition, John Wiley & Sons Inc, Hoboken, New Jersey, USA.
  24. Skamarock, W.C., Klemp, J.B., Dudhia, J., Gill, D.O., Barker, D.M., Duda, M.G., Huang, X., Wang, W., Powers, J.G. (2008) A description of the advanced research WRF version 3, NCAR Tech, Note NCAR/TN-475+STR, National Center for Atmospheric Research, Boulder, CO, 125 pp.
  25. Tao, W.K., Simpson, J., McCumber, M. (1989) An ice-water saturation adjustment, Monthly Weather Review, 117(1), 231-235. https://doi.org/10.1175/1520-0493(1989)117<0231:AIWSA>2.0.CO;2
  26. World Health Organization (WHO) (2013) Health effects of particulate matter: policy implications for countries in eastern Europe, Caucasus and central Asia, p. 6-7.
  27. Yamartino, R.J. (1993) Nonnegative, conserved scalar transport using grid-cell- centered, spectrally constrained blackman cubics for applications on a variablethickness mesh, Monthly Weather Review, 121(3), 753-763. https://doi.org/10.1175/1520-0493(1993)121<0753:NCSTUG>2.0.CO;2