Articles | Volume 30, issue 6
https://doi.org/10.5194/hess-30-1563-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-30-1563-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Prediction of basin-scale river channel migration based on landscape evolution numerical simulation
Jitian Wu
Key Laboratory of Surficial Geochemistry, Ministry of Education, School of Earth Sciences and Engineering, Nanjing University, Nanjing 210023, China
Xiankui Zeng
CORRESPONDING AUTHOR
Key Laboratory of Surficial Geochemistry, Ministry of Education, School of Earth Sciences and Engineering, Nanjing University, Nanjing 210023, China
Qihui Wu
Key Laboratory of Surficial Geochemistry, Ministry of Education, School of Earth Sciences and Engineering, Nanjing University, Nanjing 210023, China
Dong Wang
Key Laboratory of Surficial Geochemistry, Ministry of Education, School of Earth Sciences and Engineering, Nanjing University, Nanjing 210023, China
Jichun Wu
Key Laboratory of Surficial Geochemistry, Ministry of Education, School of Earth Sciences and Engineering, Nanjing University, Nanjing 210023, China
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Short summary
Basin-scale river channel movement shapes water distribution and ecosystems. Accurately measuring this process is vital for basin management and climate change adaptation. This study introduces a fully coupled landscape evolution model with channel extraction to simulate such large-scale channel migration. Additionally, a modified Bayesian uncertainty, combined with a surrogate model, is used for parameter calibration. This approach helps reconstruct and predict river channel migration patterns.
Basin-scale river channel movement shapes water distribution and ecosystems. Accurately...