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

Published: 17 August 2020| Version 1 | DOI: 10.17632/v4jm2txpfw.1
Contributors:
Nico Dalla Libera, Daniele Pedretti, Fabio Tateo, Leonardo Mason, Leonardo Piccinini, Paolo Fabbri

Description

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"

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Institutions

  • Universita degli studi di Padova Dipartimento di Geoscienze

Categories

Hydrogeology, Machine Learning, Arsenic, Self Organizing Map, Hydrochemistry

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