Modeling groundwater potential using novel GIS-based machine-learning ensemble techniques

Modeling groundwater potential using novel GIS-based machine-learning ensemble techniques

Study region: The present study has been carried out in the Tabriz River basin (5397 km2) in north-western Iran. Elevations vary from 1274 to 3678 m above sea level, and slope angles range from 0 to 150.9 %. The average annual minimum and maximum temperatures are 2 °C and 12 °C, respectively. The av...

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Bibliographic Details
Main Authors: Alireza Arabameri, Subodh Chandra Pal, Fatemeh Rezaie, Omid Asadi Nalivan, Indrajit Chowdhuri, Asish Saha, Saro Lee, Hossein Moayedi
Format: Article
Language:English
Published: Elsevier 2021-08-01
Series:Journal of Hydrology: Regional Studies
Subjects:
Groundwater
Machine learning
Random subspace
Ensemble models
RS-GIS
Iran
Online Access:http://www.sciencedirect.com/science/article/pii/S221458182100077X

Internet

http://www.sciencedirect.com/science/article/pii/S221458182100077X

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