Development of a random-forest-copula-factorial analysis (RFCFA) method for predicting propagation between meteorological and hydrological drought

Development of a random-forest-copula-factorial analysis (RFCFA) method for predicting propagation between meteorological and hydrological drought

In the context of global climate warming, the propagation of meteorological drought (MD) may aggravate the devastating impact of hydrological drought (HD) on water security and sustainable development. There are challenges in accurately predicting the propagation of drought and effectively quantifyi...

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Bibliographic Details
Main Authors: Wang Hao, Li Yongping, Huang Guohe, Zhang Quan, Ma Yuan, Li Yangfeng
Format: Article
Language:English
Published: Science Press 2024-01-01
Series:National Science Open
Subjects:
rought propagation
random forest
copula
factorial analysis
climate change
Aral Sea Basin
Online Access:https://www.sciengine.com/doi/10.1360/nso/20230022

Internet

https://www.sciengine.com/doi/10.1360/nso/20230022

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