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Updated: Jun 28, 2025

Two-Dimensional Visualization and Quantification of Labile, Inorganic Plant Nutrients and Contaminants in Soil
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Two-Dimensional Visualization and Quantification of Labile, Inorganic Plant Nutrients and Contaminants in Soil

Published on: September 1, 2020

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机械和数据驱动的观点,植物吸收有机污染物

Chunya Wu1, Yuzhen Liang1, Shan Jiang1

  • 1School of Environment and Energy, South China University of Technology, Guangzhou, Guangdong 510006, People's Republic of China; The Key Lab of Pollution Control and Ecosystem Restoration in Industry Clusters, Ministry of Education, South China University of Technology, Guangzhou, Guangdong 510006, People's Republic of China.

The Science of the total environment
|April 17, 2024
PubMed
概括

这项研究开发了植物吸收有机污染物的预测模型,使用植物皮质-水分区系数 (Kcw). 最好的模型,GBRT-ppLFER,准确预测吸收,并确定影响植物污染物吸收的关键因素.

关键词:
功能重要性 功能重要性相互作用效应的相互作用效应.机器学习 机器学习植物皮质-水分区分系数多参数线性自由能量关系.

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