水利水电技术（中英文）2025，Vol.56Issue(12)：87-100,14.DOI:10.13928/j.cnki.wrahe.2025.12.007
基于SWAT-TGRU耦合模型的伊洛河流域径流模拟研究
Runoff simulation in Yiluo River Basin based on SWAT-TGRU coupled model
摘要
Abstract
[Objective]Considering the spatial heterogeneity of river basins and the transmission of multi-station runoff information between upstream and downstream is essential for improving runoff simulation accuracy in river basins.A coupled runoff simulation model based on the Soil and Water Assessment Tool(SWAT)and Tree-Structured Gated Recurrent Unit(TreeGRU)was established.[Methods]The SWAT model was employed to simulate the hydrological and physical processes in sub-basins to obtain outputs of key physical variables such as precipitation,evapotranspiration,and surface runoff.These variables,along with simulated runoff data from upstream hydrological stations,were used as inputs to establish the SWAT-TGRU coupled model.By incorporating a tree-structured framework,the model enabled the transmission of hydrological information from upstream to downstream,while fully accounting for the spatiotemporal relationships among hydrological stations in the river network.[Results]The SWAT-TGRU model improved the Nash-Sutcliffe Efficiency(NSE)at four hydrological stations of Tantou,Longmenzhen,Lushi,and Heishiguan by 49％,11％,13％,and 15％,respectively,in the Yiluo River Basin,compared to the SWAT model.[Conclusion]Compared with SWAT-GRU and SWAT-TLSTM models,the SWAT-TGRU model exhibits higher accuracy and stability in multi-station runoff simulations.It effectively overcomes the significant increase in model complexity that arises when non-treed-structured approaches are not utilized,providing an efficient and accurate method for multi-station runoff simulation in complex river basins.关键词
径流模拟/SWAT模型/树状GRU/伊洛河流域/多站点/影响因素Key words
runoff simulation/SWAT Model/tree-structured GRU/Yiluo River Basin/multi-station/influencing factors分类
天文与地球科学引用本文复制引用
张济昱,孙宇昊,杨哲,王玉凤,卓拉..基于SWAT-TGRU耦合模型的伊洛河流域径流模拟研究[J].水利水电技术（中英文）,2025,56(12):87-100,14.基金项目
国家自然科学基金项目(52109034) （52109034）
唐仲英基金会项目(K4050723175) （K4050723175）
中国博士后科学基金项目(2023M732891) （2023M732891）
陕西省博士后科学基金项目(2023BSHYDZZ64) （2023BSHYDZZ64）
