Assessing industrial wastewater effluent toxicity using boosting algorithms in machine learning: A case study on ecotoxicity prediction and control strategy development
Trace heavy metals have a tendency to persist in the effluent of industrial wastewater treatment facilities, leading to toxic effects on downstream water bodies. Traditional assessment methods relied on animal testing, but ethical concerns have rendered them unacceptable. An alternative solution is...
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| Published in: | Environmental pollution (1987) Vol. 341; p. 123017 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
England
15.01.2024
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| Subjects: | |
| ISSN: | 0269-7491, 1873-6424, 1873-6424 |
| Online Access: | Get full text |
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