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Quadratic decomposition and WOA-optimized CNN-ResNet-BiGRU-Attention: A novel hybrid framework for hydrological runoff forecasting
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DOI：10.1016/j.envsoft.2026.107076.png)
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Abstract
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• Propose a coupled runoff model for monthly runoff prediction. • A secondary modal decomposition module for historical runoff data was utilized. • Model hyperparameters are optimized using an optimization algorithm. • The model can adapt to environment changes and predict runoff dynamically. • The model outperforms the widely used data-driven models (LSTM,GRU, etc.).
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