Reconstruction of missing streamflow series in human-regulated catchments using a data integration LSTM model

Study region: Yellow River Basin in China, where streamflow dynamics were significantly impacted by human activities. Study focus: We introduced a deep learning-based method, i.e., Data Integration (DI) with Long Short-Term Memory (LSTM), which leverages Global Flood Awareness System (GloFAS) stream...

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Bibliographic Details

Published in:	Journal of Hydrology: Regional Studies
Main Authors:	Arken Tursun, Xianhong Xie, Yibing Wang, Yao Liu, Dawei Peng, Yusufujiang Rusuli, Buyun Zheng
Format:	Article
Language:	English
Published:	Elsevier 2024-04-01
Subjects:	Data integration LSTM Multiscale static attributes Streamflow reconstruction Human activity Yellow River Basin
Online Access:	http://www.sciencedirect.com/science/article/pii/S2214581824000922