Source Term Inversion (STI) is of great significance to mitigate and contain the sources of nuclear and chemical hazards, accurately predict the spatiotemporal transmission and diffusion of nuclear and chemical hazards, assist combat operations and support decision-making. This paper summarizes and analyzes the key algorithms and application platform of the current nuclear and chemical hazard source inversion technology, and puts forward the enlightenment and suggestions for its development, which has a certain theoretical reference and reference value.
In this paper, the problem is studied and analyzed by introducing variational assimilation method and combining with the gaussian plume model.Through the analysis and study of background error covariance, observation error covariance and diffusion parameters, the variational assimilation scheme of chemical hazards was designed and the mathematical modeling was carried out.Then, through Matlab platform programming, numerical experiments are carried out on the established model and an example analysis is made. The results show that the concentration prediction field after assimilation can effectively reduce the prediction error and achieve convergence.
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