ABSTRACT: Atmospheric dispersion modeling is a challenging problem not only for environmental management, but also for predict the dispersion of radioactive materials. The key priority to promote an effective model for emergency response is making a balance between the accuracy and the computational cost. This research has made a brief review about the properties of several dispersion models as Gaussian, Eulerian, Lagrangian, and CFD (Computational Flux Dynamic). We also discussed their performance in parallel computing and proposed an approach for predict and fast nuclear accident response by using the WRF model (Weather Research and Forecasting) and the FLEXPART-WRF. For demonstration, we presented two examples by using FLEXPART-WRF for simulation of the dispersion of 137Cs from the Fangchenggang nuclear power plant.
Keywords: Air dispersion modelling, Gaussian, Eulerian, Lagrangian, CFD, WRF, FLEXPART, FLEXPART-WRF.
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