Adaptive period decomposition network with muti-scale temporal variation learning for water level prediction
Study region:: Hanjiang River Basin, China Study focus:: This study introduces DLGNet, an advanced water level prediction model that employs an adaptive multi-resolution decomposition to decouple multiple periodic components.The model incorporates a 2D overlap patch attention mechanism and separable dilation causal convolution to effectively captur