Machine learning for predicting coliform concentrations at Montevideo beaches : Identifying key environmental drivers for coastal water quality management

Monitoring microbial water quality at recreational beaches is essential to safeguard public health, with fecal coliforms serving as key indicators of contamination. This study applies machine learning (ML) techniques to predict fecal coliform concentrations at Montevideo’s urban beaches, aiming to s...

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Bibliographic Details

Main Author:	Armand-Ugon, Pablo (author)
Other Authors:	Goliatt, Leonardo (author), Castro, Alberto (author), Gorgoglione, Angela (author)
Format:	article
Language:	English
Published:	2025
Subjects:	Fecal coliforms Machine learning Beach water quality Hydroinformatics
Online Access:	https://www.mdpi.com/2673-4834/6/4/147 https://hdl.handle.net/20.500.12008/52550
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