| 截断总体最小二乘变分核事故源项反演数值研究 |
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| 引用本文： | 刘蕴,刘新建,李红,方晟,毛亚蔚,曲静原.截断总体最小二乘变分核事故源项反演数值研究[J].核动力工程,2019,40(1):120-125. |
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| 作者姓名： | 刘蕴 刘新建 李红 方晟 毛亚蔚 曲静原 |
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| 作者单位： | 中国核电工程有限公司,北京,100840;清华大学核能与新能源技术研究院,先进核能技术协同创新中心,先进反应堆工程与安全教育部重点实验室,北京,100084 |
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| 摘 要： | 放射性释放源项是核事故应急与事故后果评价的基础。核事故源项反演方法利用事故期间辐射环境监测数据估计事故释放源项。由于其不依赖电厂状态参数,在福岛核事故后被广泛重视。变分核事故源项反演模型(VAR)对释放源项的求解为全局最优,但受大气扩散模型误差的影响较大。为降低大气扩散模型误差对源项估计结果的影响,建立了截断总体最小二乘变分核事故源项反演数值计算模型(TTLS-VAR)。该模型可对扩散模型算子与监测向量进行修正,以提高源项反演的准确性。基于风洞实验数据对TTLS-VAR模型进行验证,结果显示:TTLS-VAR模型对释放源项估计结果的准确性较VAR模型有所提高。
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| 关 键 词： | 核事故源项反演 变分数据同化 截断总体最小二乘 风洞实验 |
Numerical Research on Source Inversion for Nuclear Accidents Based on Variational Data Assimilation Coping with Truncated Total Least Squares |
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| Liu Yun,Liu Xinjian,Li Hong,Fang Sheng,Mao Yawei,Qu Jingyuan.Numerical Research on Source Inversion for Nuclear Accidents Based on Variational Data Assimilation Coping with Truncated Total Least Squares[J].Nuclear Power Engineering,2019,40(1):120-125. |
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| Authors: | Liu Yun Liu Xinjian Li Hong Fang Sheng Mao Yawei Qu Jingyuan |
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| Affiliation: | (China Nuclear Power Engineering Co.Ltd.,Beijing,100840,China;Institute of Nuclear and New Energy Technology,Collaborative Innovation Centre of Advanced Nuclear Energy Technology,Key Laboratory of Advanced Reactor Engineering and Safety of Ministry of Education,Tsinghua University,Beijing,100084,China) |
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| Abstract: | Liu Yun;Liu Xinjian;Li Hong;Fang Sheng;Mao Yawei;Qu Jingyuan(China Nuclear Power Engineering Co.Ltd.,Beijing,100840,China;Institute of Nuclear and New Energy Technology,Collaborative Innovation Centre of Advanced Nuclear Energy Technology,Key Laboratory of Advanced Reactor Engineering and Safety of Ministry of Education,Tsinghua University,Beijing,100084,China) |
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| Keywords: | Source inversion for nuclear accidents Variational data assimilation Truncated total least squares Wind tunnel experiment |
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