Associate Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates
Title : 环境学院教工党支部宣传委员
Title of Paper:Elucidating per- and polyfluoroalkyl substances (PFASs) soil-water partitioning behavior through explainable machine learning models.
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Date of Publication:2024-10-10
Journal:The Science of the total environment
Volume:954
Page Number:176575
ISSN No.:0048-9697
Key Words:Interpretable Machine Learning; PFASs; Prediction; Random Forest; Soil; Soil-Water Distribution Coefficient (K(d))
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