Relationships between water quality of a long-distance inter-basin water diversion project and air pollution emissions along the canal: Distributions, lag effects, and nonlinear responses.

Understanding and quantifying the influences and contributions of air pollution emissions on water quality variations is critically important for surface water quality protection and management. To address this, we created a five-year daily data matrix of six water quality indicators-permanganate index (COD), NH-N, pH, turbidity, conductivity, and dissolved organic matter (DOM)-and six air pollution indicators-O, CO, NO, SO, 2.5 μm particulate matter (PM), and inhalable particles (PM)-using data from seven national monitoring stations along the world's longest water-diversion project, the Middle Route of the South-to-North Water Diversion Project in China (MR-SNWD).

Boosting fine-tuning via Conditional Online Knowledge Transfer.

Fine-tuning is an effective technique to enhance network performance in scenarios with limited labeled data. To achieve this, recent methods exploit the knowledge mined in the source model (e.g.