Groundwater Salinity Susceptibility Mapping Using Classifier Ensemble and Bayesian Machine Learning Models

Groundwater Salinity Susceptibility Mapping Using Classifier Ensemble and Bayesian Machine Learning Models

Risk and susceptibility mapping of groundwater salinity (GWS) are challenging tasks for groundwater quality monitoring and management. Advancement of accurate prediction systems is essential for the identification of vulnerable areas in order to raise awareness about the potential salinity susceptib...

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Bibliographic Details
Main Authors: Amirhosein Mosavi, Farzaneh Sajedi Hosseini, Bahram Choubin, Massoud Goodarzi, Adrienn A. Dineva
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Groundwater salinity
hazard
recursive feature elimination
stochastic gradient boosting
rotation forest
Bayesian generalized linear model
Online Access:https://ieeexplore.ieee.org/document/9162111/

Internet

https://ieeexplore.ieee.org/document/9162111/

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