Predicting apparent adsorption capacity of sediment-amended activated carbon for hydrophobic organic contaminants using machine learning

In-situ stabilization of hydrophobic organic compounds (HOCs) using activated carbon (AC) is a promising sediment remediation approach. However, predicting HOC adsorption capacity of sediment-amended AC remains a challenge because a prediction model is currently unavailable. Thus, the objective of t...

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Veröffentlicht in:	Chemosphere (Oxford) 2024-02, Vol.350, p.141003-141003, Article 141003
Hauptverfasser:	Lee, Hyeonmin, Choi, Yongju
Format:	Artikel
Sprache:	eng
Schlagworte:	Activated carbon Adsorption capacity Hydrophobic organic compounds Machine learning Prediction model Sediment contamination
Online-Zugang:	Volltext
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