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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. · 0 citations

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