All publications
Research Outputs
Spatiotemporal Patterns and Multiscale Drivers of Riverine Water Quality in China: A Continental-Scale Analysis via Physics-Informed Deep Learning
National-scale riverine water quality, spatiotemporal patterns, multiscale drivers, physics-informed deep learning, watershed water quality analysisYear2026
StatusConference Abstract / Preprint
VenueEGU General Assembly 2026
Authors
Jingzhe Hu
Wei Zhi
Yuru Qin
Dawei Jiang