The superior coupled model with innovative strategy for accurate imputation of missing hydrological monitoring data in water research-A case of groundwater level data

The superior coupled model with innovative strategy for accurate imputation of missing hydrological monitoring data in water research-A case of groundwater level data

The missing hydrological monitoring data pose challenges to regional water resource analysis and research. This paper proposes a strategy of “Decomposition-Classification-Feature Extraction-Imputation” and establishes a coupled model integrating Extreme-point Symmetric Mode Decomposition (ESMD), Per...

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Bibliographic Details
Main Authors: Xian-Qi Zhang, Zi-Yu Li, Xian-Liang Liu, Xiao-Yan Wu, Xin-Yong Xu, En-Kuan Li, Bo-Wen Wang, Su-Bo Han, Shao-Bo Liu
Format: Article
Language:English
Published: Elsevier 2025-12-01
Series:Water Research X
Subjects:
Extreme-point symmetric mode decomposition
Permutation entropy
WOA-BiLSTM
Hydrological data imputation
Online Access:http://www.sciencedirect.com/science/article/pii/S2589914725000970
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