Estimation of base and surface flow using deep neural networks and a hydrologic model in two watersheds of the Chesapeake Bay

Jiye Lee,Ather Abbas,Gregory W. McCarty,Xuesong Zhang,Sangchul Lee,Kyung Hwa Cho

Journal of Hydrology（2023）

引用 1|浏览3

暂无评分

摘要

•Long-short-term-memory (LSTM) model was used to simulate base and surface flow.•Sub-basin-level LSTM and basin-level LSTM were developed.•Simulation accuracies of LSTM-based and SWAT models were compared.•The sub-basin-level LSTM achieved superior performance for 19-year simulation.•The importance of input features of sub-basin-level LSTM was evaluated.

查看译文

关键词

hydrologic model,watersheds,surface flow,deep neural networks

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要