Advanced long-term actual evapotranspiration estimation in humid climates for 1958–2021 based on machine learning models enhanced by the RReliefF algorithm

Advanced long-term actual evapotranspiration estimation in humid climates for 1958–2021 based on machine learning models enhanced by the RReliefF algorithm

Study region: Chengdu, Wuhan, Chongqing, and Kunming regions in China. Study focus: Accurate estimation of crop water use or actual evapotranspiration (AET) remains a key obstacle in the effective design of irrigation schedules, plans, and design. This is due to the non-linear nature of this phenome...

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Bibliographic Details
Main Authors: Ahmed Elbeltagi, Salim Heddam, Okan Mert Katipoğlu, Abdullah A. Alsumaiei, Mustafa Al-Mukhtar
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Journal of Hydrology: Regional Studies
Subjects:
Actual evapotranspiration
Ensemble trees
Matern GPR
Feature importance
Irrigation management
Online Access:http://www.sciencedirect.com/science/article/pii/S2214581824003926
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