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Updated: Jun 11, 2025

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通过可解释的机器学习模型,阐明和多醇基物质 (PFAS) 的土壤-水分区分行为

Jiaxing Xie1, Shun Liu1, Lihao Su1

  • 1Key Laboratory of Industrial Ecology and Environmental Engineering (MOE), School of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, China.

The Science of the total environment
|September 29, 2024
PubMed
概括

机器学习使用11个特征准确地预测了和多基物质 (PFAS) 的土壤-水分区分. 高有机碳,CEC和低pH增加PFAS吸附,而高pH和低有机碳增加环境迁移.

关键词:
可以解释的机器学习金融基金管理系统 (PFAS) 是一个.预测 预测 预测随机的森林 随机的森林土壤 土壤土壤.土壤-水分分配系数 (K(d))

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