Physicochemical parameters data assimilation for efficient improvement of water quality index prediction: Comparative assessment of a noise suppression hybridization approach

Title
Physicochemical parameters data assimilation for efficient improvement of water quality index prediction: Comparative assessment of a noise suppression hybridization approach
Authors
Keywords
Physicochemical parameters, Water quality index, Data assimilation, Ensemble Kalman filter, Intrinsic time-scale decomposition
Journal
JOURNAL OF CLEANER PRODUCTION
Volume 271, Issue -, Pages 122576
Publisher
Elsevier BV
Online
2020-07-02
DOI
10.1016/j.jclepro.2020.122576

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