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The Numerical Simulation of Dry Deposition Velocity Of O3 using Land-Use Information in the Busan Metropolitan City

지표면 특성을 고려한 부산지역의 건성침적속도 예측

  • 문난경 (부산대학교 대기과학과) ;
  • 이화운 (부산대학교 대기과학과)
  • Published : 2002.09.01

Abstract

Land-use types should be included in air pollutant diffusion model because a complex mixture of various land-use patterns with computational grid can make errors in calculation of several parameters. However, the air pollutant diffusion model has generally been treated with a uniform component with land-use type in each mesh because of the complexity of the simulation. This study presents a numerical simulation of the horizontal distribution of $O_3$dry deposition velocity during summertime in Busan metropolitan city. The calculation of the meteorological field was conducted using the land cover data. Simulation has been performed by the following two scenarios : (1) one with current land cover data, and (2) the other with only land and sea for the surface characteristics. The results from each scenario reveals considerable differences on the meteorological fields and these differences can cause changes in the calculation values of $O_3$deposition velocity.

Keywords

dry deposition velocity;land-use/land cover;$O_{3}$;canopy resistance

References

  1. Civerolo, K. L., G. Sistla, S. T. Rao, and D. J. Nowak, 2000, The effects of land use in meteorological modeling : implications for assessment of future air quality scenarios. Atmospheric Environment, 34, 1615-1621. https://doi.org/10.1016/S1352-2310(99)00393-3
  2. Deardorff, J. W., 1977 A Parameterization of Ground-Surface Moisture Content for Use in Atmospheric Prediction Model, J. of Appl. Meteo., 16, 1182-1185. https://doi.org/10.1175/1520-0450(1977)016<1182:APOGSM>2.0.CO;2
  3. Rodhe, H., P. Crutzen, and A. Vanterpol, 1981, Formulation of sulfuric and nitric acid in the atmosphere during long range transport, Tellus, 33, 132-141. https://doi.org/10.1111/j.2153-3490.1981.tb01739.x
  4. 이화운, 김유근, 문난경, 2000, 하계 활엽수림에서의 대기오염물질 건성침착속도의 일변화 추정, 한국기상학회지 36(3), 309-316.
  5. Fay, J. A. and J. J. Rosenzweig, 1980, An analytical diffusion model for long distance transport of air pollutants, Atmospheric Environment, 14, 335-365.
  6. J. R., Zhang L., Li Y. and D. Johnson, 1999, Description and Evaluation of a Model of Deposition Velocities for Routine Estimates of Air Pollutant Dry Deposition over North America, Part I : Review of past measurements and model results, Atmospheric Environment, 33, 5037-5051. https://doi.org/10.1016/S1352-2310(99)00250-2
  7. Padro, J, H. H. Newmannm, and G. D. Hartog, 1991, An investigation of the ADOM dry deposition module using summertime $O_3$ measurements above a deciduous forest, Atmospheric Environment, 25A, 8, 1689-1704.
  8. Sailor, D., 1995, Simulated urban climate response to modifications in surface albedo and vegetative cover, J. Appl. Meteo, 34, 1694 -1704. https://doi.org/10.1175/1520-0450-34.7.1694
  9. Schluzen, K. H. and S. Pahl, 1992, Modification of dry deposition in a developing sea-breeze circulation - A numerical case study. Atmospheric Environment, 26, 51-62. https://doi.org/10.1016/0960-1686(92)90260-R
  10. Sehmel, G. A., 1980, Particle and gas dry deposition : a review. Atmospheric Environment, 14, 983-1011. https://doi.org/10.1016/0004-6981(80)90031-1