A data-driven modeling approach for the sustainable remediation of persistent arsenic (As) groundwater contamination in a fractured rock aquifer through a groundwater recirculation well (IEG-GCW®)-Reference-Cited by-同舟云学术

A data-driven modeling approach for the sustainable remediation of persistent arsenic (As) groundwater contamination in a fractured rock aquifer through a groundwater recirculation well (IEG-GCW®)

Published:2023-01 Issue: Volume:217 Page:114827
ISSN:0013-9351
Container-title:Environmental Research
language:en
Short-container-title:Environmental Research

Author:

Ciampi Paolo^ORCID,Esposito Carlo^ORCID,Bartsch Ernst,Alesi Eduard J.^ORCID,Rehner Gert^ORCID,Morettin Piero,Pellegrini Michele,Olivieri Sandro,Ranaldo Mauro,Liali Giovanni,Papini Marco Petrangeli

Publisher

Elsevier BV

Subject

General Environmental Science,Biochemistry

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