Screening of variable importance for optimizing electrodialytic remediation of heavy metals from polluted harbour sediments

Published version, also available at http://dx.doi.org/10.1080/09593330.2015.1028470 Using multivariate design and modelling, optimal conditions for electrodialytic remediation (EDR) of heavy metals were determined for polluted harbour sediments from Hammerfest harbour located in the geographic Arct...

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Published in:Environmental Technology
Main Authors: Pedersen, Kristine Bondo, Lejon, Tore, Ottosen, Lisbeth M., Jensen, Pernille E.
Format: Article in Journal/Newspaper
Language:English
Published: Taylor & Francis 2015
Subjects:
Online Access:https://hdl.handle.net/10037/8974
https://doi.org/10.1080/09593330.2015.1028470
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author Pedersen, Kristine Bondo
Lejon, Tore
Ottosen, Lisbeth M.
Jensen, Pernille E.
author_facet Pedersen, Kristine Bondo
Lejon, Tore
Ottosen, Lisbeth M.
Jensen, Pernille E.
author_sort Pedersen, Kristine Bondo
collection University of Tromsø: Munin Open Research Archive
container_issue 18
container_start_page 2364
container_title Environmental Technology
container_volume 36
description Published version, also available at http://dx.doi.org/10.1080/09593330.2015.1028470 Using multivariate design and modelling, optimal conditions for electrodialytic remediation (EDR) of heavy metals were determined for polluted harbour sediments from Hammerfest harbour located in the geographic Arctic region of Norway. The comparative importance of the variables; current density, remediation time, light/no light, the liquid-solid ratio and stirring rate of the sediment suspension were determined in 15 laboratory scale EDR experiments by projection to latent structures (PLS). The relation between the X matrix (experimental variables) and the Y matrix (removal efficiencies) was computed and variable importance in the projection was used to assess the influence of the experimental variables. Current density and remediation time proved to have the highest influence on the remediation of the heavy metals Cr, Cu, Ni, Pb and Zn in the studied experimental domain. In addition it was shown that excluding the acidification time improved the PLS model, indicating the importance of applying a limited experimental domain that covers the removal phases of each heavy metal in the specific sediment. Based on PLS modelling the optimal conditions for remediating the Hammerfest sediment was determined; operating in the experimental domain of 0.5-0.8 mA/cm2 and a remediation time after acidification of 450-570 hours met acceptable levels according to Norwegian sediment quality guidelines
format Article in Journal/Newspaper
genre Arctic
Hammerfest
genre_facet Arctic
Hammerfest
geographic Arctic
Norway
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spelling ftunivtroemsoe:oai:munin.uit.no:10037/8974 2025-04-13T14:14:50+00:00 Screening of variable importance for optimizing electrodialytic remediation of heavy metals from polluted harbour sediments Pedersen, Kristine Bondo Lejon, Tore Ottosen, Lisbeth M. Jensen, Pernille E. 2015-04-15 https://hdl.handle.net/10037/8974 https://doi.org/10.1080/09593330.2015.1028470 eng eng Taylor & Francis Norges forskningsråd: 195160 FRIDAID 1275429 doi:10.1080/09593330.2015.1028470 https://hdl.handle.net/10037/8974 openAccess VDP::Matematikk og Naturvitenskap: 400::Kjemi: 440::Miljøkjemi naturmiljøkjemi: 446 VDP::Mathematics and natural science: 400::Chemistry: 440::Environmental chemistry natural environmental chemistry: 446 chemometrics projectionto latent structures electrodialytic remediation heavy metals harbour sediments Journal article Tidsskriftartikkel Peer reviewed 2015 ftunivtroemsoe https://doi.org/10.1080/09593330.2015.1028470 2025-03-14T05:17:57Z Published version, also available at http://dx.doi.org/10.1080/09593330.2015.1028470 Using multivariate design and modelling, optimal conditions for electrodialytic remediation (EDR) of heavy metals were determined for polluted harbour sediments from Hammerfest harbour located in the geographic Arctic region of Norway. The comparative importance of the variables; current density, remediation time, light/no light, the liquid-solid ratio and stirring rate of the sediment suspension were determined in 15 laboratory scale EDR experiments by projection to latent structures (PLS). The relation between the X matrix (experimental variables) and the Y matrix (removal efficiencies) was computed and variable importance in the projection was used to assess the influence of the experimental variables. Current density and remediation time proved to have the highest influence on the remediation of the heavy metals Cr, Cu, Ni, Pb and Zn in the studied experimental domain. In addition it was shown that excluding the acidification time improved the PLS model, indicating the importance of applying a limited experimental domain that covers the removal phases of each heavy metal in the specific sediment. Based on PLS modelling the optimal conditions for remediating the Hammerfest sediment was determined; operating in the experimental domain of 0.5-0.8 mA/cm2 and a remediation time after acidification of 450-570 hours met acceptable levels according to Norwegian sediment quality guidelines Article in Journal/Newspaper Arctic Hammerfest University of Tromsø: Munin Open Research Archive Arctic Norway The ''Y'' ENVELOPE(-112.453,-112.453,57.591,57.591) Environmental Technology 36 18 2364 2373
spellingShingle VDP::Matematikk og Naturvitenskap: 400::Kjemi: 440::Miljøkjemi
naturmiljøkjemi: 446
VDP::Mathematics and natural science: 400::Chemistry: 440::Environmental chemistry
natural environmental chemistry: 446
chemometrics
projectionto latent structures
electrodialytic remediation
heavy metals
harbour sediments
Pedersen, Kristine Bondo
Lejon, Tore
Ottosen, Lisbeth M.
Jensen, Pernille E.
Screening of variable importance for optimizing electrodialytic remediation of heavy metals from polluted harbour sediments
title Screening of variable importance for optimizing electrodialytic remediation of heavy metals from polluted harbour sediments
title_full Screening of variable importance for optimizing electrodialytic remediation of heavy metals from polluted harbour sediments
title_fullStr Screening of variable importance for optimizing electrodialytic remediation of heavy metals from polluted harbour sediments
title_full_unstemmed Screening of variable importance for optimizing electrodialytic remediation of heavy metals from polluted harbour sediments
title_short Screening of variable importance for optimizing electrodialytic remediation of heavy metals from polluted harbour sediments
title_sort screening of variable importance for optimizing electrodialytic remediation of heavy metals from polluted harbour sediments
topic VDP::Matematikk og Naturvitenskap: 400::Kjemi: 440::Miljøkjemi
naturmiljøkjemi: 446
VDP::Mathematics and natural science: 400::Chemistry: 440::Environmental chemistry
natural environmental chemistry: 446
chemometrics
projectionto latent structures
electrodialytic remediation
heavy metals
harbour sediments
topic_facet VDP::Matematikk og Naturvitenskap: 400::Kjemi: 440::Miljøkjemi
naturmiljøkjemi: 446
VDP::Mathematics and natural science: 400::Chemistry: 440::Environmental chemistry
natural environmental chemistry: 446
chemometrics
projectionto latent structures
electrodialytic remediation
heavy metals
harbour sediments
url https://hdl.handle.net/10037/8974
https://doi.org/10.1080/09593330.2015.1028470