Probabilistic Ecological Risk Assessment of Synthetic Musk Compounds in the Han River Estuary: Integrating Multi-Year Monitoring and Explainable Machine Learning

Synthetic musk compounds (SMCs) are emerging contaminants frequently detected in aquatic environments due to their widespread use in personal care and household products. This study investigated the occurrence, environmental drivers, and ecological risks of twelve SMCs in the Han River estuary and a...

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書誌詳細

主要な著者:	Jungmin Jo, Na Rae Choi, Eunjin Lee, Jae Won Yoo, Dong Sik Ahn, Ji Yi Lee, Yun Gyong Ahn
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2026-08-01
シリーズ:	Toxics
主題:	synthetic musk compounds emerging contaminants ecological risk assessment environmental exposure XGBoost-SHAP Monte Carlo simulation
オンライン･アクセス:	https://www.mdpi.com/2305-6304/14/8/718
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