Enhancing runoff simulation by combining superflex with deep learning methods in China's Qinghai Lake Basin, Northeast Tibetan Plateau

Enhancing runoff simulation by combining superflex with deep learning methods in China's Qinghai Lake Basin, Northeast Tibetan Plateau

Study region: The Qinghai Lake Basin on the Northeast Tibetan Plateau. Study focus: Coupling physical models with deep learning methods offers potential advantages for runoff simulation, optimizing their interaction remains a crucial challenge. This study investigates hybrid models combining the Sup...

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Bibliographic Details
Main Authors: Kaixun Liu, Na Li, Sihai Liang
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Journal of Hydrology: Regional Studies
Subjects:
Runoff simulation
Hybrid model
Superflex hydrological model
Deep learning
GRU
Shapley Additive explanation (SHAP)
Online Access:http://www.sciencedirect.com/science/article/pii/S2214581825001557
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