A hybrid decomposition and Machine learning model for forecasting Chlorophyll-a and total nitrogen concentration in coastal waters

•A hybrid model named CVXS was proposed to forecast the ChlA and TN concentrations.•Machine learning was integrated with decomposition algorithms in the CVXS model.•The superiority of the CVXS model over the other models was examined.•The mechanism of the CVXS model for water quality forecasting was...

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Vydané v:	Journal of hydrology (Amsterdam) Ročník 619; s. 129207
Hlavní autori:	Zhu, Xiaotong, Guo, Hongwei, Huang, Jinhui Jeanne, Tian, Shang, Zhang, Zijie
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.04.2023
Predmet:	algae China chlorophyll coastal water Decomposition algorithm Extreme gradient boosting algorithm Forecasting Machine learning model validation regression analysis time series analysis total nitrogen water management Water quality China Decomposition algorithm Extreme gradient boosting algorithm Forecasting Water quality Machine learning
ISSN:	0022-1694, 1879-2707
On-line prístup:	Získať plný text
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