Stepwise decomposition-integration-prediction framework for runoff forecasting considering boundary correction.

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作者： Zhanxing,Xu ^[1] ; Li,Mo ^[2] ; Jianzhong,Zhou ^[3] ; Wei,Fang ^[1] ; Hui,Qin ^[1]

作者单位： School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China; Hubei Key Laboratory of Digital Valley Science and Technology, Wuhan 430074, China. ^[1] School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China; Hubei Key Laboratory of Digital Valley Science and Technology, Wuhan 430074, China. Electronic address: moli@hust.edu.cn. ^[2] School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China; Hubei Key Laboratory of Digital Valley Science and Technology, Wuhan 430074, China. Electronic address: jz.zhou@mail.hust.edu.cn. ^[3]

关键词 Boundary correction Multi-input neural network Runoff forecasting SDIPBC framework Stepwise decomposition sampling

主题词结果可重复性(Reproducibility of Results);预测(Forecasting);水(Water)

DOI 10.1016/j.scitotenv.2022.158342

PMID 36037902

发布时间 2022-10-20

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