Improving prediction of water quality indices using novel hybrid machine-learning algorithms

River water quality assessment is one of the most important tasks to enhance water resources management plans. A water quality index (WQI) considers several water quality variables simultaneously. Traditionally WQI calculations consume time and are often fraught with errors during derivations of sub...

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Bibliographic Details
Published in:	The Science of the total environment Vol. 721; p. 137612
Main Authors:	Bui, Duie Tien, Khosravi, Khabat, Tiefenbacher, John, Nguyen, Hoang, Kazakis, Nerantzis
Format:	Journal Article
Language:	English
Published:	Netherlands Elsevier B.V 15.06.2020
Subjects:	algorithms data collection Data mining fecal bacteria Iran model validation monitoring Novel hybrid algorithms Prediction pruning river water total solids trees water management water quality Water quality index watersheds Iran Novel hybrid algorithms Data mining Water quality index Prediction
ISSN:	0048-9697, 1879-1026, 1879-1026
Online Access:	Get full text
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