Use of Factor Analysis (FA), Artificial Neural Networks (ANNs), and Multiple Linear Regression (MLR) for Electrical Conductivity Prediction in Aquifers in the Gallikos River Basin, Northern Greece

Use of Factor Analysis (FA), Artificial Neural Networks (ANNs), and Multiple Linear Regression (MLR) for Electrical Conductivity Prediction in Aquifers in the Gallikos River Basin, Northern Greece

Due to the fact of water resource deterioration from human activities and increased demand over the last few decades, optimization of management practices and policies is required, for which more reliable data are necessary. Cost and time are always of importance; therefore, methods that can provide...

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Bibliographic Details
Main Authors: Christos Mattas, Lamprini Dimitraki, Pantazis Georgiou, Panagiota Venetsanou
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Hydrology
Subjects:
artificial neural network
multiple linear regression
groundwater
electrical conductivity
factor analysis
Online Access:https://www.mdpi.com/2306-5338/8/3/127

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https://www.mdpi.com/2306-5338/8/3/127

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