核化危害源项反演技术现状及研究展望

源项反演对缓解和遏制核化危害源、精准预测核化危害时空传输和扩散情况、辅助作战行动和保障决策等具有十分重要的意义.本文从源项反演应用平台和源项反演关键算法(包括欧拉方法、拉格朗日方法、深度学习等)两个方面,对国内外核化危害源项反演技术的现状和二者间的差距进行了总结与分析.研究指出,利用深度学习提高反演精度和速率、从单污染...

Current situation and research prospect on source term inversion technology of nuclear and chemical hazards

Source term inversion is of great significance to mitigate and contain the sources of nuclear and chemical hazards,accurately predict the spatiotemporal transmission and spread of nuclear and chemical hazards,assist combat operations and support decisions. This paper summarizes and analyzes the current situation of source term inversion technology of nuclear and chemical hazards at home and abroad and the gap between them from two aspects：application platform of source term inversion,and key algorithm of source term inversion （including Euler method,Lagrange method,deep learning,etc.）. It is pointed out that using deep learning to improve the inversion accuracy and speed,expanding from single pollution source to multi pollution sources,and qualitative and quantitative hybrid inversion are the focus of development of this field.