放射性核素大气扩散模型研究综述  

Review of Atmospheric Dispersion Models for Radioactive Nuclides

作　　者：叶镕溪 牛德青 李林珊 侯鑫 Ye Rongxi;Niu Deqing;Li Linshan;Hou Xin(Department of Intelligent Measurement and Control,Automation Research Institute Co.,Ltd.of China South Industries Group Corporation,Mianyang 621000,China)

机构地区：[1]中国兵器装备集团自动化研究所有限公司智能测控事业部,四川绵阳621000

出　　处：《兵工自动化》2024年第5期57-59,73,共4页Ordnance Industry Automation

摘　　要：为提高放射性核素大气扩散的预测准确性,探讨传统模拟模型和人工智能技术在核安全与环境保护方面的应用。研究考察高斯、欧拉、拉格朗日等传统模型在不同情境下的有效性,以及人工智能(特别是神经网络)在快速准确反演核事故源项信息中的角色。结果表明:该研究为核事故应急管理和环境监测提供关键支持,并对提升核安全和环境保护策略具有较为重要的意义。In order to improve the prediction accuracy of atmospheric diffusion of radionuclides,the application of traditional simulation model and artificial intelligence technology in nuclear safety and environmental protection is discussed.This paper examines the effectiveness of traditional models such as Gaussian,Eulerian and Lagrangian models in different scenarios,and the role of artificial intelligence(especially neural networks)in the rapid and accurate retrieval of nuclear accident source term information.The results show that the study provides key support for nuclear accident emergency management and environmental monitoring,and is of great significance for improving nuclear safety and environmental protection strategies.

关 键 词：核素扩散 欧拉模型 高斯烟羽模型 拉格朗日模型 人工智能 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TM623[自动化与计算机技术—控制科学与工程]