Susceptibility Prediction of Groundwater Hardness Using Ensemble Machine Learning Models

Susceptibility Prediction of Groundwater Hardness Using Ensemble Machine Learning Models

Groundwater resources, unlike surface water, are more vulnerable to disturbances and contaminations, as they take a very long time and significant cost to recover. So, predictive modeling and prevention strategies can empower policymakers for efficient groundwater governance through informed decisio...

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Bibliographic Details
Main Authors: Amirhosein Mosavi, Farzaneh Sajedi Hosseini, Bahram Choubin, Mahsa Abdolshahnejad, Hamidreza Gharechaee, Ahmadreza Lahijanzadeh, Adrienn A. Dineva
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Water
Subjects:
water quality assessment
groundwater
hardness
susceptibility
machine learning
boosted regression trees
Online Access:https://www.mdpi.com/2073-4441/12/10/2770

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