Abstract
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.
Highlights
Nuclear and chemical attacks are accompanied by sudden and huge lethality
Bourne Joseph R et al [17], of the Automatic Machine Control Laboratory, Department of Mechanical Engineering, University of Utah, USA, proposed a new algorithm for plume source term estimation and source search motion planning based on nonparametric Bayes, which uses the coordination and plume estimation model among multiple robots to realize faster and more robust pollution source location determination and source intensity estimation
On the basis of adjoint model, variational assimilation method is gradually applied to source term inversion, and a large number of experiments and applications have been carried out in the research process
Summary
Nuclear and chemical attacks are accompanied by sudden and huge lethality. It is an important task to determine the information related to the nuclear, chemical and biological safety and national defense security of the country, which can help to alleviate and contain pollution sources, and more accurately predict the spatiotemporal transmission and diffusion of pollutants, providing a decision for the army's combat protection, combat decontamination and combat operations Policy basis [1]. Based on the inversion technology of nuclear and chemical hazards source term, this paper summarizes the relevant methods, technologies and platforms, analyzes the focus of research
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