Work

Knowledge-guided graph machine learning for spatially distributed prediction of daily discharge and nitrogen export dynamics

Year: 2026

Type: article

Source: Water Research

DOI: 10.1016/j.watres.2026.125613

Authors: Jie Yang, Bin Peng, Yaji Wang, Zewei Ma, Qianyu Zhao, Licheng Liu, Xiaowei Jia, Vipin Kumar, Ming Pan, Mengqi Jia, Xiang Li, John Nieber, Zhenong Jin, Kaiyu Guan

Institutions: University of Illinois Urbana-Champaign, National Center for Supercomputing Applications, Center for Advanced Bioenergy and Bioproducts Innovation, University of Minnesota, University of Pittsburgh, Scripps Institution of Oceanography, University of California San Diego

Language: English

Topic: Hydrological Forecasting Using AI

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDG: Clean water and sanitation

Open Access status: closed

Funders: National Science Foundation, U.S. Department of Energy, Illinois Nutrient Research and Education Council

Award: CENTER FOR ADVANCED BIOENERGY AND BIOPRODUCTS INNOVATION

OpenAlex ID: W7131111583

FWCI: 19.9

Cites: 46

Cited by: 9

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