Predicting heavy metal distribution coefficient in global soil via machine learning: The effect of mineral heterogeneity

Key Points

• The analysis predicts the distribution coefficient of heavy metals effectively, enhancing soil assessment methods.
• Key metrics indicate that mineral heterogeneity significantly impacts heavy metal distribution, influencing soil quality.
• Assessment used machine learning techniques to analyze data from diverse soil samples worldwide, examining various minerals.
• Findings may enable better environmental management practices, necessitating further validation across different soil types.