I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
A data-driven modeling approach for the sustainable remedia..:
Ciampi, Paolo
;
Esposito, Carlo
;
Bartsch, Ernst
...
Environmental Research. 217 (2023) - p. 114827 , 2023
Link:
https://doi.org/10.1016/j.envres.2022.114827
RT Journal T1
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®)
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.envres.2022.114827&Exemplar=1&LAN=DE A1 Ciampi, Paolo A1 Esposito, Carlo A1 Bartsch, Ernst A1 Alesi, Eduard J. A1 Rehner, Gert A1 Morettin, Piero A1 Pellegrini, Michele A1 Olivieri, Sandro A1 Ranaldo, Mauro A1 Liali, Giovanni A1 Papini, Marco Petrangeli PB Elsevier BV YR 2023 SN 0013-9351 JF Environmental Research VO 217 SP 114827 LK http://dx.doi.org/https://doi.org/10.1016/j.envres.2022.114827 DO https://doi.org/10.1016/j.envres.2022.114827 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)