Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 12
Articles | Volume 17, issue 12
https://doi.org/10.5194/gmd-17-4961-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-4961-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 12
Development and technical paper
 | 
25 Jun 2024
Development and technical paper |  | 25 Jun 2024

A spatiotemporally separated framework for reconstructing the sources of atmospheric radionuclide releases

Yuhan Xu, Sheng Fang, Xinwen Dong, and Shuhan Zhuang

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Latest update: 23 Apr 2025
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Short summary
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.
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