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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Journal of hydrology (Amsterdam) Ročník 619; s. 129207
Hlavní autoři:	Zhu, Xiaotong, Guo, Hongwei, Huang, Jinhui Jeanne, Tian, Shang, Zhang, Zijie
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.04.2023
Témata:	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 přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!