Controls of arsenic mobility in the alluvial aquifers near Venice (Italy) elucidated through machine-learning-based mapping and geochemical modeling

Name: Controls of arsenic mobility in the alluvial aquifers near Venice (Italy) elucidated through machine-learning-based mapping and geochemical modeling
Creator: Nico Dalla Libera
Published: 2020-08-17T09:52:03.120Z
Keywords: Hydrogeology, Machine Learning, Arsenic, Self Organizing Map, Hydrochemistry

Dalla Libera, Nico; Pedretti, Daniele; Tateo, Fabio; Mason, Leonardo; Piccinini, Leonardo; Fabbri, Paolo

doi:10.17632/v4jm2txpfw.1

Controls of arsenic mobility in the alluvial aquifers near Venice (Italy) elucidated through machine-learning-based mapping and geochemical modeling

Published: 17-08-2020| Version 1 | DOI: 10.17632/v4jm2txpfw.1

Contributors:

Nico Dalla Libera,

Daniele Pedretti,

Fabio Tateo,

Leonardo Mason,

Leonardo Piccinini,

Paolo Fabbri

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Supplementary online material for the paper: "Conceptual model of arsenic mobility in the shallow alluvial aquifers near Venice (Italy) elucidated through machine learning and geochemical modeling"

Controls of arsenic mobility in the alluvial aquifers near Venice (Italy) elucidated through machine-learning-based mapping and geochemical modeling

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