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, 100084 Beijing, 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, 100084 Beijing, China
Xinwen Dong
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, 100084 Beijing, China
Shuhan Zhuang
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, 100084 Beijing, China
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Cumulative views and downloads
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Total article views: 1,487 (including HTML, PDF, and XML)
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Total article views: 2,082 (including HTML, PDF, and XML)
Thereof 2,079 with geography defined
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Total article views: 1,487 (including HTML, PDF, and XML)
Thereof 1,487 with geography defined
and 0 with unknown origin.
Total article views: 595 (including HTML, PDF, and XML)
Thereof 592 with geography defined
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Recent atmospheric radionuclide leakages from unknown sources have posed a new challenge in nuclear emergency assessment. Reconstruction via environmental observations is the only feasible way to identify sources, but simultaneous reconstruction of the source location and release rate yields high uncertainties. We propose a spatiotemporally separated reconstruction strategy that avoids these uncertainties and outperforms state-of-the-art methods with respect to accuracy and uncertainty ranges.
Recent atmospheric radionuclide leakages from unknown sources have posed a new challenge in...
