Tree-ring-width based streamflow reconstruction based on the random forest algorithm for the source region of the Yangtze River, China

Extending series of river streamflow based on tree-ring reconstruction is of scientific and practical importance for understanding hydrological or meteorological change of past. To achieve more accurate reconstructions, the intelligent learning algorithm random forest (RF) was proposed in this study...

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Vydáno v:	Catena (Giessen) Ročník 183; s. 104216
Hlavní autoři:	Li, Jun, Wang, Zhaoli, Lai, Chengguang, Zhang, Zhenxing
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.12.2019
Témata:	Atmospheric circulation China dendroclimatology El Nino growth rings Random forest regression analysis rivers Solar activity Source region of Yangtze River, China stream flow Streamflow reconstruction support vector machines Yangtze River China Yangtze River Atmospheric circulation Solar activity Random forest Source region of Yangtze River, China Streamflow reconstruction
ISSN:	0341-8162, 1872-6887
On-line přístup:	Získat plný text
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