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
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, , , , , 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