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Prediction of anthropogenic <sup>129</sup>I in the South China Sea based on machine learning.

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第一作者: Jinxiao,Hou
第一单位: Xi'an Accelerator Mass Spectrometry Center, State Key Laboratory of Loess Science, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China; University of Chinese Academy of Sciences, Beijing, 100049, China.
作者: Jinxiao,Hou [1] ; Tong,Zhang [2] ; Yanyun,Wang [3] ; Haitao,Zhang [4] ; Xiaolin,Hou [5]
作者单位: Xi'an Accelerator Mass Spectrometry Center, State Key Laboratory of Loess Science, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China; University of Chinese Academy of Sciences, Beijing, 100049, China. [1] Xi'an Accelerator Mass Spectrometry Center, State Key Laboratory of Loess Science, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China; University of Chinese Academy of Sciences, Beijing, 100049, China; Xi'an Institute for Innovative Earth Environment Research, Xi'an, 710061, China. [2] Xi'an Accelerator Mass Spectrometry Center, State Key Laboratory of Loess Science, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China. [3] Northwest Institute of Nuclear Technology, Xi'an, 710024, China. [4] Xi'an Accelerator Mass Spectrometry Center, State Key Laboratory of Loess Science, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China. Electronic address: houxl@ieecas.cn. [5]
DOI 10.1016/j.jenvrad.2025.107710
PMID 40318467
发布时间 2025-06-16
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Journal of environmental radioactivity

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