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...

Full description

Saved in:

Bibliographic Details
Published in:	Journal of hydrology (Amsterdam) Vol. 619; p. 129207
Main Authors:	Zhu, Xiaotong, Guo, Hongwei, Huang, Jinhui Jeanne, Tian, Shang, Zhang, Zijie
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.04.2023
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!