Integrated assessment of dissolved oxygen dynamics using optimized M-K trend detection and ridge regression in the Middle and Lower Yellow River Basin

The accurate prediction and comprehensive analysis of dissolved oxygen (DO) are essential for maintaining water quality and ecosystem health in watershed environments. In this study, machine learning techniques—specifically the Random Forest algorithm—were integrated with M-K trend analysis and Ridg...

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Bibliographic Details

Published in:	The Science of the total environment Vol. 1005; p. 180828
Main Authors:	Wei, Jiafang, Zhao, Tianci, Wei, Rongsheng, Fan, Xinjian
Format:	Journal Article
Language:	English
Published:	Netherlands Elsevier B.V 20.11.2025
Subjects:	Dissolved oxygen (DO) Mann-Kendall (M-K) Random Forest algorithm Ridge regression model Yellow River Basin Mann-Kendall (M-K) Random Forest algorithm Yellow River Basin Ridge regression model Dissolved oxygen (DO)
ISSN:	0048-9697, 1879-1026, 1879-1026
Online Access:	Get full text
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