A case study for the dispersion parameter modification of the Gaussian plume model using linear programming

Linear Programming을 이용한 가우시안 모형의 확산인자 수정에 관한 사례연구

  • Jeong, Hyo-Joon (Nuclear Environmental Research Division, Korea Atomic Energy Research Institute) ;
  • Kim, Eun-Han (Nuclear Environmental Research Division, Korea Atomic Energy Research Institute) ;
  • Suh, Kyung-Suk (Nuclear Environmental Research Division, Korea Atomic Energy Research Institute) ;
  • Hwang, Won-Tae (Nuclear Environmental Research Division, Korea Atomic Energy Research Institute) ;
  • Han, Moon-Hee (Nuclear Environmental Research Division, Korea Atomic Energy Research Institute)
  • 정효준 (한국원자력연구소 원자력환경연구부) ;
  • 김은한 (한국원자력연구소 원자력환경연구부) ;
  • 서경석 (한국원자력연구소 원자력환경연구부) ;
  • 황원태 (한국원자력연구소 원자력환경연구부) ;
  • 한문희 (한국원자력연구소 원자력환경연구부)
  • Published : 2003.12.30


We developed a grid-based Gaussian plume model to evaluate tracer release data measured at Young Gwang nuclear site in 1996. Downwind distance was divided into every 10m from 0.1km to 20km, and crosswind distance was divided into every 10m centering released point from -5km to 5km. We determined dispersion factors, ${\sigma}_y\;and\;{\sigma}_z$ using Pasquill-Gifford method computed by atmospheric stability. Forecasting ability of the grid-based Gaussian plume model was better at the 3km away from the source than 8km. We confirmed that dispersion band must be modified if receptor is far away from the source, otherwise P-G method is not appropriate to compute diffusion distance and diffusion strength in case of growing distance. So, we developed an empirical equation using linear programming. An objective function was designed to minimize sum of the absolute value between observed and computed values. As a result of application of the modified dispersion equation, prediction ability was improved rather than P-G method.


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