Estimation of Fugitive Dust Emission and Impact Assessment in Constructing the New Port by Reclamation of Sea Sand

신항만 해사 매립 공사시 비산먼지 발생량 산정 및 주변영향평가

  • Choi, Won-Joon (Department of Environmental Engineering, Pusan National University) ;
  • Cho, Ki-Chul (Department of Environmental Engineering, Pusan National University) ;
  • Lee, Eun-Yong (Department of Environmental Engineering, Pusan National University) ;
  • Na, Ha-Young (Division of Environment, Hangaram Engineering & Consulting Co. Ltd.) ;
  • Lee, Soon-Kyu (Division of Environment, Hangaram Engineering & Consulting Co. Ltd.) ;
  • Oh, Kwang-Joong (Department of Environmental Engineering, Pusan National University)
  • Received : 2006.03.17
  • Accepted : 2006.07.27
  • Published : 2006.08.30

Abstract

In case of studied area located around the sea, the data measured from the regional meteorological office is highly different from the local weather data because the diffusivity of fugitive dust varies considerably with meteorological conditions. Especially, it is very difficult to predict the amount of fugitive dust accurately as wind speed remains high frequently. In this study, the fluxes of suspended particulates as a function of the friction velocity were applied to consider the effect of wind speed on the amount of fugitive dust generated from the reclamation site. The amount of fugitive dust estimated as mentioned above was simulated by using ISCST3 model. As a result, in case of using only the Fugitive Dust Formula which is usually used in Environment Impact Assessment, the predicted $PM_{10}$ concentrations with points were $43.4{\sim}67.8{\mu}g/m^3$. However, in case of applying to the flux of suspended particulates, the predicted values of $PM_{10}$ with points were $43.3{\sim}69.1{\mu}g/m^3$, $49.5{\sim}90.4{\mu}g/m^3$ and $76.0{\sim}182.6{\mu}g/m^3$ with the wind speeds of 4.4, 5.8 and 7.7m/s, respectively. It could be possible to predict the amount of fugitive dust accurately because these predicted values were similar to the measured values. Consequently, we can establish alternatives for reduction of fugitive dust in this area damaged by fugitive dust which is caused by wind.

References

  1. 김인수, 장영기, 2000, MECHANICAL Fugitive Dust Model을 이용한 비포장도로에서의 비산먼지 발생량 산정 및 주변영향 평가, 환경영향평가학회지, 9(4), 257-269
  2. 이내현, 김윤선, 2000, 대규모 공사시 비산먼지 산정 및 확산분석에 관한 연구, 환경영향평가학회지, 9(3), 249-255
  3. 장영기, 1995, 국내 대기오염모델링의 현황과 과제, 한국대기보전학회지, 11(1), 1-14
  4. 정관영, 박순웅, 1998, 황사의 크기 및 침착량에 대한 수치 모의, 한국대기보전학회지, 14(3),191-208
  5. Brandt, J., Basyrup-Birk, A, Christensen, J. H., Mikkelsen, T., Thykier-Niesen, S. and Zlatev, Z., 1988, Testing the importance of accurate meteorological input field and parameterizations in atmospheric transport modelling using dreamvalidation against ETEX-1, Atmos. Environ., 32(24), 4167-4186 https://doi.org/10.1016/S1352-2310(98)00170-8
  6. Chang, Y. S., Arndt, R. L. and Carmichael, G. R., 1996, Mineral base-cation deposition in Asia, Atmos. Environ., 30, 2417-2427 https://doi.org/10.1016/1352-2310(95)00196-4
  7. Fugitive dust control technology, 1983
  8. Gillette, D. A and Passi, R., 1988, Modeling dust emission caused by wind erosion, J. Geophys. Res., 93(14), 233-242
  9. Ginoux, P., Chin, M., Tegen, I., Prospero, J. M., Holben, B., Dubovik, O. and Lin, S. -J., 2001, Sources and distributions of dust aerosols simulated with the GOCART model, J. Geophys. Res., 106(20), 255-273
  10. Lee, H. N., 1997, Improvement of surface flux calculations in the atmospheric surface layer, J. Appl. Meteorol., 36, 1416-1423 https://doi.org/10.1175/1520-0450(1997)036<1416:IOSFCI>2.0.CO;2
  11. Lee, H. N., Tanaka, T., Chiba, M. and Igarashi, Y, 2003, Long range transport of asian dust from dust storms and its impact on Japan, Water, Air, and Soil Pollution, 3, 231-243 https://doi.org/10.1023/A:1023254910362
  12. Louis, J.-F., 1979, A parametric model of vertical eddy fluxes in the atmosphere, Bound. Layer Meteor., 17, 187-202 https://doi.org/10.1007/BF00117978
  13. Orlemann, J. A., 1983, Fugitive dust control technology, Park Ridge, N.J., USA
  14. UCAR, 2003, Forecasting dust storms, University Corporation for Atmospheric Research
  15. U.S Environmental Protection Agency, 1995, (ISC3)Dipersion model user's guide, EPA-45/B-95-003b, 12-35