Machine learning prediction of ammonia nitrogen adsorption on biochar with model evaluation and optimization
Abstract In light of escalating nitrogen pollution in aquatic systems, this study presents a comprehensive machine learning (ML) approach to predict ammonia nitrogen adsorption capacity of biochar and identify optimal conditions. Twelve ML models, including tree-based ensembles, kernel-based methods...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-02-01
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| Series: | npj Clean Water |
| Online Access: | https://doi.org/10.1038/s41545-024-00429-z |
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