| A mathematic and calculation model is developed to calculate the fluid field and the matter field distribution of the ejections let by Daya Bay Nuclear Power Station in the atmosphere around the Station. And an insert-observation assimilation method is developed to optimize the model, which is more accurate than ordinary insert-observation data assimilation method and whose calculation quantity is less than variational assimilation method.The system consists of four parts------Diagnostic model, M-β model,Monte-Carlo model, and Data assimilation model. The diagnostic model deals with the observation, and its output will be the preliminary data of the M- β model, which aims to calculate the vertical wind and forecast the wind and temperature fields. The impacts of landform and local thermal effect are considered in this model. Monte-Carlo model simulates the stochastic action of particles, and calculates the fluid field and the matter field distributing using the output of M- 3 model. Data assimilation model, in which the characteristics of models have been considered, basing on the Diagnostic model and the M- β model , inserts the observation into system circularly. It is proved that the data assimilation model can restrain the model error and preliminary data error all right.The following conclusions can be drawn through the data assimilation experiments :1. Using this insert-observation data assimilation method, in which the characteristics of models have been considered, the errors from our models and preliminary data can be corrected. This means proves to be effective and saving time.2. Being the base of data assimilation model, Diagnostic model and M-β model were proved perfect. So using this system to calculate the fluid field and the matter field distribution of the ejections let by Daya Bay Nuclear Power Station in the atmosphere around the station is reasonable.
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