Assessing climate change and human impacts on runoff and hydrological droughts in the Yellow River Basin using a machine learning-enhanced hydrological modeling approach

Analyzing the impacts of climate change (CC) and human activities (HA) on hydrological events is important for water resource management. This study quantifies the impacts of CC and HA on runoff and hydrological drought characteristics (HDC) in the Yellow River Basin (YRB) of China. Trends and abrup...

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Vydáno v:	Journal of environmental management Ročník 380; s. 125091
Hlavní autoři:	Wang, Lei, Li, Yi, Biswas, Asim, Zhao, Yong, Niu, Ben, Siddique, Kadambot.H.M.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	England Elsevier Ltd 01.04.2025
Témata:	China Climate Change Contribution analysis drought Droughts environmental management Environmental Monitoring Human activities Humans Hydrological drought Hydrology Machine Learning Models, Theoretical Random forest Rivers Runoff Soil and Water Assessment Tool model SWAT temperature water management watersheds Yellow River China Yellow River SWAT Climate change Runoff Contribution analysis Hydrological drought Human activities Random forest
ISSN:	0301-4797, 1095-8630, 1095-8630
On-line přístup:	Získat plný text
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