A machine learning approach to site groundwater contamination monitoring wells

A machine learning approach to site groundwater contamination monitoring wells

Abstract Effective monitoring of groundwater contamination is crucial to protect human livelihoods and ecosystems. This paper presents a machine learning-based approach to improve groundwater monitoring networks by providing predictions of groundwater contamination in space. The method is demonstrat...

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Bibliographic Details
Main Authors: V. Gómez-Escalonilla, E. Montero-González, S. Díaz-Alcaide, M. Martín-Loeches, M. Rodríguez del Rosario, P. Martínez-Santos
Format: Article
Language:English
Published: SpringerOpen 2024-11-01
Series:Applied Water Science
Subjects:
Aquifer
Contamination
Artificial intelligence
Machine learning
MLMapper
Extra trees algorithm
Online Access:https://doi.org/10.1007/s13201-024-02320-1
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https://doi.org/10.1007/s13201-024-02320-1

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