Simple Prediction of an Ecosystem-Specific Water Quality Index and the Water Quality Classification of a Highly Polluted River through Supervised Machine Learning

Simple Prediction of an Ecosystem-Specific Water Quality Index and the Water Quality Classification of a Highly Polluted River through Supervised Machine Learning

Water quality indices (WQIs) are used for the simple assessment and classification of the water quality of surface water sources. However, considerable time, financial resources, and effort are required to measure the parameters used for their calculation. Prediction of WQIs through supervised machi...

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Bibliographic Details
Main Authors: de Anda, J. (Author), Del Castillo, A.F (Author), Garcia-Gonzalez, A. (Author), Garibay, M.V (Author), Gradilla-Hernández, M.S (Author), Yebra-Montes, C. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Classification algorithm
Ecosystems
Forecasting
Index predictions
Linear regression
Multiple linear regression models
Parameter estimation
Quality control
Regression algorithms
regression and classification algorithms
River pollution
Rivers
Santiago-Guadalajara River
Santiago-guadalajarum river
Simple++
Supervised learning
Supervised machine learning
Water quality
water quality index prediction
Water quality index prediction
Water quality indexes
Water quality parameters
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