Journal of Korean Society for Atmospheric Environment (한국대기환경학회지)

Korean Society for Atmospheric Environment (한국대기환경학회)
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Estimation of Hourly Emission Flux of Asian Dust Using Empirical Formulas in the Source Area

경험식을 이용한 발원지 황사의 시간별 발생량 추정

  • Moon, Yun-Seob (Department of Environmental Education, Korea National University of Education) ;
  • Lee, Seong-Hwan (Department of Environmental Education, Korea National University of Education)
  • 문윤섭 (한국교원대학교 환경교육학과) ;
  • 이승환 (한국교원대학교 환경교육학과)
  • Published : 2009.12.31
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Abstract

The purpose of this study is to estimate hourly Asian dust emission flux in springtime by using the optimized Weather Research Forecasting model (WRF) in order to accurately predict the horizontal flux of Asian dusts. Asian dust emission flux using 5 empirical formulas such as US EPA, Park and Inn, Wang, The Goddard Chemistry Aerosol Radiation and Transport (GOCART) and Dust Entrainment and Deposition (DEAD) were calculated and compared by using classified land-use types and size distribution at various locations in China and Mongolia together with the hourly meteorological elements of the WRF model. As a result, the empirical formula in US EPA among them, which was considered the various conditions such as vegetation, soil type and terrain, was better than the other 4 empirical formulas. However, these formulas were adjusted hourly and vertically in time and space because there was different order and time resolution of dust emissions from original empirical formulas.

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References

  1. Gillette, D.A. and R. Passi (1988) Modeling dust emission caused by wind erosion, Journal of Geophysical Research, 93, 14233-14242 https://doi.org/10.1029/JD093iD11p14233
  2. Ginoux, P., J.M. Prospero, O. Torres, and M. Chin (2004) Longterm simulation of global dust distribution with the GOCART model: correlation with North Atlantic Oscillation, Environmental Modeling & Software, 19, 113-128 https://doi.org/10.1016/S1364-8152(03)00114-2
  3. Ginoux, P., M. Chin, I. Tagen., J.M. Prospero., B. Holben., O. Dubovik, and S. Lin (2001) Sources and distributions of dust aerosols simulated with the GOCART model, Journal of Geophysical Research, 106, 20255-20273 https://doi.org/10.1029/2000JD000053
  4. Jeon, Y.S., S.G. Jo, Y.W. Kim, J.G. Lee (2003) Asian dust phenomena occurring in Manjoo, Journal of Korean Meteorological Society, 39(2), 251-263
  5. Kim, M.J, W.Y. Kim, and Y.J. Kim (2007) Calculation of Infrared Difference for Dust Index (IDDI) using the MTSAT-IR satellite data, database established by the Korean Meteorological Socity (http://www.komes.or.kr/ytboard/)
  6. Kim, Y.K., S.K. Song, Y.S. Moon, and J.H. Jeong (2003) A study on estimating methods and their simulations for dust emissions during Asian dust events in the Eastern Asia, Proceeding of the 2003 Spring Meeting of Korean Society for Atmospheric Environment, 35, 177-178
  7. Marticorena, B. and G. Berbametti (1995) Modeling the atmospheric dust cycle, Design of a soil-derived dust emission scheme, Journal of Geophysical Research, 100, 16414-16430 https://doi.org/10.1029/95JD00690
  8. Park, S.W. and W.J. Inn (2003) Estimation of dust emission amount for a dust storm event occurred in April 1998 in China, Water, Air, and Soil Pollution, 148, 201-221 https://doi.org/10.1023/A:1025400921908
  9. Wang, J., H. Ueda, and M. Huang (2000) A deflation module for use in modeling long-lange transport of yellow sand over East Asia, Journal of Geophysical Research, 105, 26947-26959 https://doi.org/10.1029/2000JD900370
  10. Westphal, D.L., O.B. Toon, and T.N. Carson (1987) A twodimensional numerical investigation of the dynamics and microphysics of Saharan dust storms, Journal of Geophysical Research, 92, 3027-3049 https://doi.org/10.1029/JD092iD03p03027
  11. Westphal, D.L., O.B. Toon, and T.N. Carson (1988) A case study of mobilisation and transport of Saharan dust, Journal of Atmospheric Science, 45, 2145-2175 https://doi.org/10.1175/1520-0469(1988)045<2145:ACSOMA>2.0.CO;2
  12. White, B.R. (1979) Soil transport by winds on Mars, Journal of Geophysical Research, 84, 4643-4651 https://doi.org/10.1029/JB084iB09p04643
  13. Xuan, J. (1999) Dust emission factors for environment of Northern China, Atmospheric Environment, 33, 1767-1776 https://doi.org/10.1016/S1352-2310(98)00339-2
  14. Zender, C.S., H. Bian, and D. Newman (2003) Mineral dust entrainment and deposition (DEAD) model: Description and 1990s dust climatology, Journal of Geophysical Research, 108, 1-19 https://doi.org/10.1029/2002JD002775
  15. Zhang, D. and Y. Iwasaka (2001) Chlorine deposition on dust particles in marine atmosphere, Geophysical Research Letters, 28, 3613-3616 https://doi.org/10.1029/2001GL013333

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