Phosphorus prediction in the middle reaches of the Yangtze river based on GRA-CEEMDAN-CNLSTM-DBO

Phosphorus prediction in the middle reaches of the Yangtze river based on GRA-CEEMDAN-CNLSTM-DBO

Abstract Accurate and rapid prediction of water quality is crucial for the protection of aquatic ecosystems. This study aims to enhance the prediction of total phosphorus (TP) concentrations in the middle reaches of the Yangtze River by integrating advanced modeling techniques. Using operational and...

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Bibliographic Details
Main Authors: Huaipeng Yao, Yuling Huang, Pingyu Lv, Huihuang Luo
Format: Article
Language:English
Published: Nature Portfolio 2024-08-01
Series:Scientific Reports
Subjects:
Phosphorus
Yangtze River Basin
Long Short-Term Memory (LSTM) network
Prediction
Online Access:https://doi.org/10.1038/s41598-024-70262-4

Internet

https://doi.org/10.1038/s41598-024-70262-4

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