Coupling the remote sensing data-enhanced SWAT model with the bidirectional long short-term memory model to improve daily streamflow simulations

Author:

Jin Lei,Xue HuazhuORCID,Dong Guotao,Han Yue,Li Zichuang,Lian Yaokang

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference65 articles.

1. Estimating uncertain flow and transport parameters using a sequential uncertainty fitting procedure;Abbaspour;Vadose Zone J.,2004

2. Daily streamflow prediction using optimally pruned extreme learning machine;Adnan;J. Hydrol.,2019

3. Streamflow response to potential land use and climate changes in the James River watershed, upper Midwest United States;Ahiablame;J. Hydrol.: Reg. Stud.,2017

4. An improved SWAT vegetation growth module and its evaluation for four tropical ecosystems;Alemayehu;Hydrol. Earth Syst. Sci.,2017

5. A review of soil and water assessment tool (SWAT) studies of Mediterranean catchments: applications, feasibility, and future directions;Aloui;J. Environ. Manage.,2023

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