A physically guided and interpretable SWAT-BiLSTM framework with Bayesian optimization for bias correction in daily streamflow forecasting.
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| Title: | A physically guided and interpretable SWAT-BiLSTM framework with Bayesian optimization for bias correction in daily streamflow forecasting. |
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| Authors: | Jin L; School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China; Hubei Provincial Key Laboratory of Construction and Management in Hydropower Engineering, and Engineering Research Center of Eco-environment in Three Gorges Reservoir Region, Ministry of Education, China Three Gorges University, Yichang 443002, China. Electronic address: lina_jin@hust.edu.cn., Peng T; Hubei Provincial Key Laboratory of Construction and Management in Hydropower Engineering, and Engineering Research Center of Eco-environment in Three Gorges Reservoir Region, Ministry of Education, China Three Gorges University, Yichang 443002, China. Electronic address: pengtao306@163.com., Jiang Z; School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China. Electronic address: zqjzq@hust.edu.cn., Jia X; School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China., Wang J; School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China., Li Z; School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China., Zhang C; School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China., Lu Q; School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China., Luo Z; School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China. |
| Source: | Journal of contaminant hydrology [J Contam Hydrol] 2026 Jul; Vol. 281, pp. 104952. Date of Electronic Publication: 2026 Apr 19. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Country of Publication: Netherlands NLM ID: 8805644 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-6009 (Electronic) Linking ISSN: 01697722 NLM ISO Abbreviation: J Contam Hydrol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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