Bo-Le Yi

Machine-learning-based spatiotemporal reconstruction and risk assessment of 16 priority PAHs in mainland China's surface waters, 2000-2024.

Polycyclic aromatic hydrocarbons (PAHs) are widespread aquatic contaminants, but their long-term national-scale dynamics remain poorly constrained by fragmented monitoring. We integrated measurements of 16 priority PAHs with multisource predictors to reconstruct annual surface-water concentrations across mainland China...