River Water Salinity Prediction Using Hybrid Machine Learning Models

River Water Salinity Prediction Using Hybrid Machine Learning Models

Electrical conductivity (EC), one of the most widely used indices for water quality assessment, has been applied to predict the salinity of the Babol-Rood River, the greatest source of irrigation water in northern Iran. This study uses two individual—M5 Prime (M5P) and random forest (RF)—and eight n...

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Bibliographic Details
Main Authors: Assefa M. Melesse, Khabat Khosravi, John P. Tiefenbacher, Salim Heddam, Sungwon Kim, Amir Mosavi, Binh Thai Pham
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Water
Subjects:
water salinity
machine learning
bagging
random forest
random subspace
data science
Online Access:https://www.mdpi.com/2073-4441/12/10/2951

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