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Updated: May 1, 2026

Measuring Carbon-based Contaminant Mineralization Using Combined CO2 Flux and Radiocarbon Analyses
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对各种一氧化碳的短期热层柱密度风险的不确定性量化

Yufeng Chi1, Yingying Wu2, Kai Wang3

  • 1School of Information Engineering, Sanming University, Sanming, 365004, China.

Journal of environmental management
|October 3, 2024
PubMed
概括

机器学习模型显著优于预测大气一氧化碳 (CO) 水平的传统方法. 像Bayes_CL这样的优化模型为环境和健康风险评估提供了更高的准确性.

关键词:
贝耶斯_CL 在线观看机器学习是机器学习.哨兵 5P 柱状 CO 柱状短期风险是短期的风险.

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