Inner Dynamic Detection and Prediction of Water Quality Based on CEEMDAN and GA-SVM Models

Inner Dynamic Detection and Prediction of Water Quality Based on CEEMDAN and GA-SVM Models

Urban water quality is facing strongly adverse degradation in rapidly developing areas. However, there exists a huge challenge to estimating the inner features and predicting the variation of long-term water quality due to the lack of related monitoring data and the complexity of urban water systems...

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Bibliographic Details
Main Authors: Zhizhou Yang, Lei Zou, Jun Xia, Yunfeng Qiao, Diwen Cai
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Remote Sensing
Subjects:
CEEMDAN method
GA-SVM model
decomposition
prediction
water quality
Online Access:https://www.mdpi.com/2072-4292/14/7/1714

Internet

https://www.mdpi.com/2072-4292/14/7/1714

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