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...
Main Authors: | Zhizhou Yang, Lei Zou, Jun Xia, Yunfeng Qiao, Diwen Cai |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-04-01
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Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/14/7/1714 |
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