Author

Zhong-Yao Liang

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Open access Aug 2026

Deep forecasting architectures mirror ecological time scales in water quality prediction

Accurate water quality forecasting—specifically tracking phytoplankton dynamics like chlorophyll a—is crucial for safeguarding aquatic ecosystems and global water security. Deep temporal architectures offer powerful non-linear modeling capabilities, promising to overcome the parameterization bottlenecks of traditional...

Yiqi Yu, Ming-Zhen Zhang, Zhong-Yao Liang et al. · Environmental Science and Ec... · 0 citations

Open access Sep 2026

Unraveling multi-scale drivers of Chl-a dynamics via interpretable machine learning: a case study of Shahu Lake

Aquatic eutrophication exhibits pronounced temporal variability, yet conventional global interpretation frameworks often fail to capture short-term ecological responses and obscure environmental drivers that dominate only during specific ecological periods. To address this limitation, this study developed a multi-scale...

Yong Li, Yu-Sheng Huang, Ling-Jing Lin et al. · Environmental Earth Sciences · 0 citations