Screening of Variable Importance for Optimsing Electrodialytic Remediation of Heavy Metals from Polluted Harbour Sediments
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, re...
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ftdatacite:10.6084/m9.figshare.1332438.v1 2023-05-15T15:08:39+02:00 Screening of Variable Importance for Optimsing Electrodialytic Remediation of Heavy Metals from Polluted Harbour Sediments Pedersen, Kristine B. Lejon, Tore Ottosen, Lisbeth M. Jensen, Pernille E. 2015 https://dx.doi.org/10.6084/m9.figshare.1332438.v1 https://tandf.figshare.com/articles/dataset/Screening_of_Variable_Importance_for_Optimsing_Electrodialytic_Remediation_of_Heavy_Metals_from_Polluted_Harbour_Sediments/1332438/1 unknown Taylor & Francis https://dx.doi.org/10.1080/09593330.2015.1028470 https://dx.doi.org/10.6084/m9.figshare.1332438 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY Biological Sciences Sociology FOS Sociology Ecology FOS Biological sciences Chemistry Earth and Environmental Sciences Cell Biology dataset Dataset 2015 ftdatacite https://doi.org/10.6084/m9.figshare.1332438.v1 https://doi.org/10.1080/09593330.2015.1028470 https://doi.org/10.6084/m9.figshare.1332438 2021-11-05T12:55:41Z 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/cm 2 and a remediation time after acidification of 450-570 hours met acceptable levels according to Norwegian sediment quality guidelines.TENT_1028470_Supplementary_File.zip Dataset Arctic Hammerfest DataCite Metadata Store (German National Library of Science and Technology) Arctic Norway The ''Y'' ENVELOPE(-112.453,-112.453,57.591,57.591) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
Biological Sciences Sociology FOS Sociology Ecology FOS Biological sciences Chemistry Earth and Environmental Sciences Cell Biology |
spellingShingle |
Biological Sciences Sociology FOS Sociology Ecology FOS Biological sciences Chemistry Earth and Environmental Sciences Cell Biology Pedersen, Kristine B. Lejon, Tore Ottosen, Lisbeth M. Jensen, Pernille E. Screening of Variable Importance for Optimsing Electrodialytic Remediation of Heavy Metals from Polluted Harbour Sediments |
topic_facet |
Biological Sciences Sociology FOS Sociology Ecology FOS Biological sciences Chemistry Earth and Environmental Sciences Cell Biology |
description |
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/cm 2 and a remediation time after acidification of 450-570 hours met acceptable levels according to Norwegian sediment quality guidelines.TENT_1028470_Supplementary_File.zip |
format |
Dataset |
author |
Pedersen, Kristine B. Lejon, Tore Ottosen, Lisbeth M. Jensen, Pernille E. |
author_facet |
Pedersen, Kristine B. Lejon, Tore Ottosen, Lisbeth M. Jensen, Pernille E. |
author_sort |
Pedersen, Kristine B. |
title |
Screening of Variable Importance for Optimsing Electrodialytic Remediation of Heavy Metals from Polluted Harbour Sediments |
title_short |
Screening of Variable Importance for Optimsing Electrodialytic Remediation of Heavy Metals from Polluted Harbour Sediments |
title_full |
Screening of Variable Importance for Optimsing Electrodialytic Remediation of Heavy Metals from Polluted Harbour Sediments |
title_fullStr |
Screening of Variable Importance for Optimsing Electrodialytic Remediation of Heavy Metals from Polluted Harbour Sediments |
title_full_unstemmed |
Screening of Variable Importance for Optimsing Electrodialytic Remediation of Heavy Metals from Polluted Harbour Sediments |
title_sort |
screening of variable importance for optimsing electrodialytic remediation of heavy metals from polluted harbour sediments |
publisher |
Taylor & Francis |
publishDate |
2015 |
url |
https://dx.doi.org/10.6084/m9.figshare.1332438.v1 https://tandf.figshare.com/articles/dataset/Screening_of_Variable_Importance_for_Optimsing_Electrodialytic_Remediation_of_Heavy_Metals_from_Polluted_Harbour_Sediments/1332438/1 |
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_relation |
https://dx.doi.org/10.1080/09593330.2015.1028470 https://dx.doi.org/10.6084/m9.figshare.1332438 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.6084/m9.figshare.1332438.v1 https://doi.org/10.1080/09593330.2015.1028470 https://doi.org/10.6084/m9.figshare.1332438 |
_version_ |
1766339972688773120 |