Prediction of runoff in the upper reaches of the Hei River based on the LSTM model guided by physical mechanisms

Prediction of runoff in the upper reaches of the Hei River based on the LSTM model guided by physical mechanisms

Study region: The upper reaches of the Hei River. Study focus: To improve the accuracy, interpretability and physical consistency of LSTM models for predicting streamflow, we have constructed a physically dominant loss function in the LSTM model based on the monotonic physical mechanism of rainfall-...

Full description

Saved in:
Bibliographic Details
Main Authors: Huazhu Xue, Chaoqiang Guo, Guotao Dong, Chenchen Zhang, Yaokang Lian, Qian Yuan
Format: Article
Language:English
Published: Elsevier 2025-04-01
Series:Journal of Hydrology: Regional Studies
Subjects:
Physics-guided deep learning
LSTM model
Rainfall-runoff model
Physical consistency
Online Access:http://www.sciencedirect.com/science/article/pii/S2214581825000424
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

http://www.sciencedirect.com/science/article/pii/S2214581825000424

Similar Items