High-Precision Prediction of Total Nitrogen Based on Distance Correlation and Machine Learning Models—A Case Study of Dongjiang River, China

Excessive total nitrogen (TN) in water bodies leads to eutrophication, algal blooms, and hypoxia, which pose significant risks to aquatic ecosystems and human health. Accurate real-time TN prediction is crucial for effective water quality management. This study presents an innovative approach that c...

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Bibliographic Details
Published in:	Water (Basel) Vol. 17; no. 8; p. 1131
Main Authors:	Chen, Yuanpei, Yao, Weike, Chen, Yiling
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 10.04.2025
Subjects:	Accuracy Artificial intelligence Automation Comparative analysis Composition Datasets Deep learning Distribution Environmental aspects Feature selection Forecasts and trends Hydrology Machine learning Measurement Neural networks Nitrogen Rivers Testing Variables Water quality China Dongjiang River
ISSN:	2073-4441, 2073-4441
Online Access:	Get full text
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