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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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 |
_version_ |
1802641501946118144 |