曲阜师范大学学报（自然科学版）2025，Vol.51Issue(4)：1-8,8.DOI:10.3969/j.issn.1001-5337.2025.4.001
三峡区间洪水模型构建及2024年典型洪水事件模拟
Improvements of flood model for modeling typical flood processes(2024)over the Three Gorges Reservoir Region
摘要
Abstract
This study introduces machine learning methods to optimize a flood model based on physical mechanisms,and develops a coupled flood model incorporating the VIC model and machine learning for the Three Gorges Reservoir Region.This approach overcomes the limitation of low simulation accuracy due to insufficient observational data.Our results show that the optimized VIC-machine learning coupled model better simulates in-situ observed streamflow(with an NSE coefficient close to 0.85),solving the overfit-ting problem of the original model.By simulating streamflow processes at the Yichang Station,located at the headwaters of the Three Gorges Reservoir,we observed an increasing trend in streamflow from 2013 to 2021.Additionally,we used the constructed model for a replay analysis of typical flood events in the Three Gorges Reservoir in 2024(Daning River 2024 No.1 Flood)and further verified the model's effectiveness in reproducing flood events.关键词
洪水模拟/机器学习/径流过程/洪水过程/三峡库区Key words
flood modeling/machine learning/runoff process/flooding processes/Three Gorges Reser-voir Region分类
建筑与水利引用本文复制引用
孙祎欣,张强,宋文龙,刘达..三峡区间洪水模型构建及2024年典型洪水事件模拟[J].曲阜师范大学学报（自然科学版）,2025,51(4):1-8,8.基金项目
三峡后续工作项目(JZ0161A012023). （JZ0161A012023）
