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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Vydáno v:	The Science of the total environment Ročník 1005; s. 180828
Hlavní autoři:	Wei, Jiafang, Zhao, Tianci, Wei, Rongsheng, Fan, Xinjian
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Netherlands Elsevier B.V 20.11.2025
Témata:	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
On-line přístup:	Získat plný text
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