Spatiotemporal water quality data reconstruction: A tensor factorization framework

Spatiotemporal water quality data reconstruction: A tensor factorization framework

Automatic high-frequency monitoring (AHFM) of water quality parameters has gained growing attention for managing eutrophic lakes. However, missing data in water quality datasets remains a persistent challenge, often compromising the reliability of mathematical models and statistical analyses. While...

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Bibliographic Details
Main Authors: Xuke Wu, Kun Shan, Lan Wang, Jingkai Wang, Mingsheng Shang
Format: Article
Language:English
Published: Elsevier 2025-12-01
Series:Ecological Informatics
Subjects:
Water quality
Missing data imputation
Nonnegative tensor factorization
Ensemble
Bias scheme
Lake Dianchi
Online Access:http://www.sciencedirect.com/science/article/pii/S1574954125002924
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