研究与来源Machine Learning–Based Reconstruction of Missing Streamflow Records in Data-Scarce River Basins Fusion Journal of Engineering and Sciences · 2026.03.28 论文作者:Faarid Shah DOI: 10.64615/fjes...2026.146 水文与环境 本条目提供可追溯的文献信息,尚未发布完整编辑解读。 阅读原始来源 ↗
研究论文Journal of Hydrology: Regional Studies2026.06Streamflow forecasting with a hybrid model integrating a distributed hydrological model and deep learning methods暂未提供译文作者 Xiao Liang · Li Liu · Lu Ding · Haiting Gu · Lu Wang · Yuxue Guo · Yue-Ping Xu条目与解读阅读原文 ↗
研究论文Journal of Hydrology: Regional Studies2026.10Predicting streamflow in heavily regulated plain river networks using physics-guided spatiotemporal deep learning models: A case study of the Four Lakes Basin暂未提供译文作者 Yufeng Wu · Qingrui Chang · Zhihong Liu · Xianqiang Tang · Rui Li · Shouliang Huo条目与解读阅读原文 ↗
研究论文Journal of Hydrology中科院一区 Top · 20252025.11FLO-SR: Deep learning-based urban flood super-resolution model暂未提供译文作者 Hyeonjin Choi · Hyuna Woo · Minyoung Kim · Hyungon Ryu · Jun-Hak Lee · Seungsoo Lee · Seong Jin Noh条目与解读阅读原文 ↗
研究论文Journal of Hydrology中科院一区 Top · 20252025.11Integrating net rainfall calculation in deep learning-based surrogate modeling frameworks for 2D flood prediction暂未提供译文作者 Juan F. Farfán-Durán · Carlos Montalvo · Luis Cea · João P. Leitão条目与解读阅读原文 ↗