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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Bibliographic Details
Published in:Environmental pollution (1987) Vol. 341; p. 123017
Main Authors: Nguyen, Duc-Viet, Park, Jihae, Lee, Hojun, Han, Taejun, Wu, Di
Format: Journal Article
Language:English
Published: England 15.01.2024
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ISSN:0269-7491, 1873-6424, 1873-6424
Online Access:Get full text
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