Using machine learning to explore oxyanion adsorption ability of goethite with different specific surface area
Kai Chen1, Chuling Guo1, Chaoping Wang1
1School of Environment and Energy, South China University of Technology, Guangzhou, 510006, PR China; The Key Lab of Pollution Control and Ecosystem Restoration in Industry Clusters, Ministry of Education, South China University of Technology, Guangzhou, 510006, PR China.
Environmental Pollution (Barking, Essex : 1987)
|December 18, 2023
Summary
Machine learning models predict oxyanion adsorption on goethite. Goethite's specific surface area (SSA) and (001) crystal face significantly influence adsorption capacity, revealing key factors for material design.
Area of Science:
- Environmental Science
- Geochemistry
- Materials Science
Background:
- Goethite is a key iron mineral involved in contaminant adsorption in natural systems.
- Understanding oxyanion adsorption on goethite is crucial for predicting contaminant fate and transport.
- Variability in goethite properties, such as specific surface area (SSA), complicates adsorption predictions.
Purpose of the Study:
- To develop and validate machine learning models for predicting divalent and trivalent oxyanion adsorption on goethite.
- To identify and quantify the influence of goethite properties, specifically SSA and crystal face composition, on adsorption.
- To provide a theoretical basis for the observed variations in oxyanion adsorption on goethite.
Main Methods:
- Development of machine learning prediction models for oxyanion adsorption.
- Application of SHAP (SHapley Additive exPlanations) importance analysis to determine feature significance.
- Utilizing partial dependence (PD) analysis to explore the relationship between SSA and adsorption capacity.
- Incorporating crystal face composition as input features in machine learning models.
Main Results:
- Machine learning models demonstrated reliability in predicting oxyanion adsorption.
- Goethite's specific surface area (SSA) was identified as a significant factor, ranking fourth in importance for adsorption.
- A non-monotonic relationship was observed between SSA and oxyanion binding capacity.
- The (001) crystal face was found to have a crucial influence on the oxyanion adsorption amount.
Conclusions:
- Specific surface area (SSA) plays a vital role in goethite's oxyanion adsorption capacity.
- Crystal face composition, particularly the (001) face, is a critical determinant of goethite's adsorption performance.
- These findings offer a theoretical explanation for adsorption variations on goethite with differing properties.
