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

Using multivariate design and modelling, the 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...

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Published in:Environmental Technology
Main Authors: Pedersen, Kristine B., Lejon, Tore, Ottosen, Lisbeth M., Jensen, Pernille Erland
Format: Article in Journal/Newspaper
Language:English
Published: 2015
Subjects:
Online Access:https://orbit.dtu.dk/en/publications/f8d7e5c7-ef5b-4bdc-ad01-85fa994439b1
https://doi.org/10.1080/09593330.2015.1028470
https://backend.orbit.dtu.dk/ws/files/130111340/EnvTech_Final_Cristin.pdf
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spelling ftdtupubl:oai:pure.atira.dk:publications/f8d7e5c7-ef5b-4bdc-ad01-85fa994439b1 2024-06-23T07:50:36+00:00 Screening of variable importance for optimizing electrodialytic remediation of heavy metals from polluted harbour sediments Pedersen, Kristine B. Lejon, Tore Ottosen, Lisbeth M. Jensen, Pernille Erland 2015 application/pdf https://orbit.dtu.dk/en/publications/f8d7e5c7-ef5b-4bdc-ad01-85fa994439b1 https://doi.org/10.1080/09593330.2015.1028470 https://backend.orbit.dtu.dk/ws/files/130111340/EnvTech_Final_Cristin.pdf eng eng https://orbit.dtu.dk/en/publications/f8d7e5c7-ef5b-4bdc-ad01-85fa994439b1 info:eu-repo/semantics/openAccess Pedersen , K B , Lejon , T , Ottosen , L M & Jensen , P E 2015 , ' Screening of variable importance for optimizing electrodialytic remediation of heavy metals from polluted harbour sediments ' , Environmental Technology (United Kingdom) , vol. 36 , no. 18 , pp. 2364-2373 . https://doi.org/10.1080/09593330.2015.1028470 Chemometrics Projectionto latent structures Electrodialytic remediation Heavy metals Harbour sediments article 2015 ftdtupubl https://doi.org/10.1080/09593330.2015.1028470 2024-06-11T14:43:21Z Using multivariate design and modelling, the 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, was 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 were determined; operating in the experimental domain of 0.5-0.8 mA/cm2 and a remediation time after acidification of 450-570 h met acceptable levels according to Norwegian sediment quality guidelines. Article in Journal/Newspaper Arctic Hammerfest Technical University of Denmark: DTU Orbit Arctic Norway The ''Y'' ENVELOPE(-112.453,-112.453,57.591,57.591) Environmental Technology 36 18 2364 2373
institution Open Polar
collection Technical University of Denmark: DTU Orbit
op_collection_id ftdtupubl
language English
topic Chemometrics
Projectionto latent structures
Electrodialytic remediation
Heavy metals
Harbour sediments
spellingShingle Chemometrics
Projectionto latent structures
Electrodialytic remediation
Heavy metals
Harbour sediments
Pedersen, Kristine B.
Lejon, Tore
Ottosen, Lisbeth M.
Jensen, Pernille Erland
Screening of variable importance for optimizing electrodialytic remediation of heavy metals from polluted harbour sediments
topic_facet Chemometrics
Projectionto latent structures
Electrodialytic remediation
Heavy metals
Harbour sediments
description Using multivariate design and modelling, the 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, was 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 were determined; operating in the experimental domain of 0.5-0.8 mA/cm2 and a remediation time after acidification of 450-570 h met acceptable levels according to Norwegian sediment quality guidelines.
format Article in Journal/Newspaper
author Pedersen, Kristine B.
Lejon, Tore
Ottosen, Lisbeth M.
Jensen, Pernille Erland
author_facet Pedersen, Kristine B.
Lejon, Tore
Ottosen, Lisbeth M.
Jensen, Pernille Erland
author_sort Pedersen, Kristine B.
title 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_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_sort screening of variable importance for optimizing electrodialytic remediation of heavy metals from polluted harbour sediments
publishDate 2015
url https://orbit.dtu.dk/en/publications/f8d7e5c7-ef5b-4bdc-ad01-85fa994439b1
https://doi.org/10.1080/09593330.2015.1028470
https://backend.orbit.dtu.dk/ws/files/130111340/EnvTech_Final_Cristin.pdf
long_lat ENVELOPE(-112.453,-112.453,57.591,57.591)
geographic Arctic
Norway
The ''Y''
geographic_facet Arctic
Norway
The ''Y''
genre Arctic
Hammerfest
genre_facet Arctic
Hammerfest
op_source Pedersen , K B , Lejon , T , Ottosen , L M & Jensen , P E 2015 , ' Screening of variable importance for optimizing electrodialytic remediation of heavy metals from polluted harbour sediments ' , Environmental Technology (United Kingdom) , vol. 36 , no. 18 , pp. 2364-2373 . https://doi.org/10.1080/09593330.2015.1028470
op_relation https://orbit.dtu.dk/en/publications/f8d7e5c7-ef5b-4bdc-ad01-85fa994439b1
op_rights info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.1080/09593330.2015.1028470
container_title Environmental Technology
container_volume 36
container_issue 18
container_start_page 2364
op_container_end_page 2373
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