Distribution of Groundwater Arsenic in Uruguay Using Hybrid Machine Learning and Expert System Approaches

Distribution of Groundwater Arsenic in Uruguay Using Hybrid Machine Learning and Expert System Approaches

Groundwater arsenic in Uruguay is an important environmental hazard, hence, predicting its distribution is important to inform stakeholders. Furthermore, occurrences in Uruguay are known to variably show dependence on depth and geology, arguably reflecting different processes controlling groundwater...

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Bibliographic Details
Main Authors: Ruohan Wu, Elena M. Alvareda, David A. Polya, Gonzalo Blanco, Pablo Gamazo
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Water
Subjects:
arsenic
groundwater
Uruguay
geostatistics
depth
geology
Online Access:https://www.mdpi.com/2073-4441/13/4/527

Internet

https://www.mdpi.com/2073-4441/13/4/527

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