Physics-guided networks for probabilistic hydrodynamic forecasting in canal systemsOA
Physics-guided networks for probabilistic hydrodynamic forecasting in canal systems
Wangjiayi Liu;Guanghua Guan;Xiaonan Chen;Liangsheng Shi;Guangtao Fu;Dragan Savic
State Key Laboratory of Water Resources Engineering and Management,Wuhan University,Wuhan,430072,ChinaState Key Laboratory of Water Resources Engineering and Management,Wuhan University,Wuhan,430072,ChinaConstruction and Administration Bureau of the Middle-Route of the South-to-North Water Division Project of China,Beijing,100038,ChinaState Key Laboratory of Water Resources Engineering and Management,Wuhan University,Wuhan,430072,ChinaCentre for Water Systems,University of Exeter,Exeter,EX4 4QF,United KingdomCentre for Water Systems,University of Exeter,Exeter,EX4 4QF,United Kingdom||KWR Water Research Institute,Groningenhaven 7,Nieuwegein,3430 BB,Netherlands
Uncertainty quantificationPhysics-guided neural networkDeep probabilistic learningHydrodynamic modelCanal system
Uncertainty quantificationPhysics-guided neural networkDeep probabilistic learningHydrodynamic modelCanal system
《环境科学与生态技术（英文）》 2026 (3)
111-123,13
This work is funded by the National Key Research and Devel-opment Program of China[Grant No.2024YFC3211800]and the China Scholarship Council(CSC)[Grant No.202406270118].The authors would also like to acknowledge the Construction and Administration Bureau of the Middle-Route of the South-to-North Water Diversion Project of China for supporting the data collection.
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