Prediction of evaporation in arid and semi-arid regions: a comparative study using different machine learning models

Prediction of evaporation in arid and semi-arid regions: a comparative study using different machine learning models

Evaporation, one of the fundamental components of the hydrology cycle, is differently influenced by various meteorological variables in different climatic regions. The accurate prediction of evaporation is essential for multiple water resources engineering applications, particularly in developing co...

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Bibliographic Details
Main Authors: Zaher Mundher Yaseen, Anas Mahmood Al-Juboori, Ufuk Beyaztas, Nadhir Al-Ansari, Kwok-Wing Chau, Chongchong Qi, Mumtaz Ali, Sinan Q. Salih, Shamsuddin Shahid
Format: Article
Language:English
Published: Taylor & Francis Group 2020-01-01
Series:Engineering Applications of Computational Fluid Mechanics
Subjects:
evaporation
predictive model
machine learning
arid and semi-arid regions
best input combination
Online Access:http://dx.doi.org/10.1080/19942060.2019.1680576

Internet

http://dx.doi.org/10.1080/19942060.2019.1680576

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