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A Study of the Amount of Fugitive Dust Generated from New Harbor Construction Site and the Prediction of Effect using AERMOD

매립공사 시 비산먼지 발생량 및 AERMOD를 이용한 영향예측에 관한 연구

  • Yoon, Bae-Geun (Department of Environmental Engineering, Pusan National University) ;
  • Seo, Jong-Beom (Department of Environmental Engineering, Pusan National University) ;
  • Kim, Young-Seek (Department of Environmental Engineering, Pusan National University) ;
  • Choi, Won-Joon (Greenhouse Gas Research Center, Korea Institute of Energy Research) ;
  • Kim, Yun-Su (Kolon Engineering & Construction) ;
  • Oh, Kwang-Joong (Department of Environmental Engineering, Pusan National University)
  • 윤배근 (부산대학교 사회환경시스템공학과) ;
  • 서종범 (부산대학교 사회환경시스템공학과) ;
  • 김영식 (부산대학교 사회환경시스템공학과) ;
  • 최원준 (한국에너지기술연구원 온실가스연구센터) ;
  • 김윤수 (코오롱건설) ;
  • 오광중 (부산대학교 사회환경시스템공학과)
  • Received : 2009.05.14
  • Accepted : 2009.06.29
  • Published : 2009.08.30

Abstract

A new harbor as been constructing in Gadukdo. However, a lot of fugitive dust gas been often generated from construction site reclaiming sea sand, especially when the Northwester is blown strongly. It has resulted insome appeals of residents in Gadukdo. In this study, we estimated the amount of fugitive dust caused by new harbor construction using Fugitive dust formula. Also, the concentration of PM10 for recipient is predicted by AERMOD. The amount of fugitive dust is 26.56 ${\mu}g/sec{\cdot}m^2$ and 11.84 ${\mu}g/sec{\cdot}m^2$ respectively by the Fugitive dust formula. PM10 outlet concentration and the amount of fugitive dust increase according to wind velocity and directions. AERMOD is performed on the basis of weather data and the amount of fugitive dust generated with wind velocity. As a result of AERMOD, the PM10 concentration of Sunchang and Oinul are predicted over 100 ${\mu}g/m^3$. The PM10 concentration of Sunchang and Oinul are predicted over 130 ${\mu}g/m^3$ when wind velocity of northwester in winter is over 11 m/s (Air Quality for Particulate Matter (100 ${\mu}g/m^3$ for 24 hours)). Also, the measured error between AERMOD and actual measurement is lower than 5%.

Keywords

References

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