Applying multivariate analysis as decision tool for evaluating sediment-specific remediation strategies
Multivariate methodology was employed for finding optimum remediation conditions for electrodialytic remediation of harbour sediment from an Arctic location in Norway. The parts of the experimental domain in which both sediment- and technology-specific remediation objectives were met were identified...
Published in: | Chemosphere |
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Format: | Article in Journal/Newspaper |
Language: | English |
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2016
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Online Access: | https://orbit.dtu.dk/en/publications/2a52c392-7017-4c55-a3b6-0584d7b2ac8c https://doi.org/10.1016/j.chemosphere.2016.02.063 https://backend.orbit.dtu.dk/ws/files/138543553/CHEM37779_Revised_manuscript.pdf |
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ftdtupubl:oai:pure.atira.dk:publications/2a52c392-7017-4c55-a3b6-0584d7b2ac8c 2023-06-11T04:09:24+02:00 Applying multivariate analysis as decision tool for evaluating sediment-specific remediation strategies Pedersen, Kristine B. Lejon, Tore Jensen, Pernille Erland Ottosen, Lisbeth M. 2016 application/pdf https://orbit.dtu.dk/en/publications/2a52c392-7017-4c55-a3b6-0584d7b2ac8c https://doi.org/10.1016/j.chemosphere.2016.02.063 https://backend.orbit.dtu.dk/ws/files/138543553/CHEM37779_Revised_manuscript.pdf eng eng info:eu-repo/semantics/openAccess Pedersen , K B , Lejon , T , Jensen , P E & Ottosen , L M 2016 , ' Applying multivariate analysis as decision tool for evaluating sediment-specific remediation strategies ' , Chemosphere , vol. 151 , pp. 59-67 . https://doi.org/10.1016/j.chemosphere.2016.02.063 Electrodialytic remediation Harbour sediments Heavy metals PLS /dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy SDG 7 - Affordable and Clean Energy article 2016 ftdtupubl https://doi.org/10.1016/j.chemosphere.2016.02.063 2023-04-26T22:55:43Z Multivariate methodology was employed for finding optimum remediation conditions for electrodialytic remediation of harbour sediment from an Arctic location in Norway. The parts of the experimental domain in which both sediment- and technology-specific remediation objectives were met were identified. Objectives targeted were removal of the sediment-specific pollutants Cu and Pb, while minimising the effect on the sediment matrix by limiting the removal of naturally occurring metals while maintaining low energy consumption. Two different cell designs for electrochemical remediation were tested and final concentrations of Cu and Pb were below background levels in large parts of the experimental domain when operating at low current densities (<0.12 mA/cm 2 ). However, energy consumption, remediation times and the effect on naturally occurring metals were different for the 2- and 3-compartment cells. Article in Journal/Newspaper Arctic Technical University of Denmark: DTU Orbit Arctic Norway Chemosphere 151 59 67 |
institution |
Open Polar |
collection |
Technical University of Denmark: DTU Orbit |
op_collection_id |
ftdtupubl |
language |
English |
topic |
Electrodialytic remediation Harbour sediments Heavy metals PLS /dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy SDG 7 - Affordable and Clean Energy |
spellingShingle |
Electrodialytic remediation Harbour sediments Heavy metals PLS /dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy SDG 7 - Affordable and Clean Energy Pedersen, Kristine B. Lejon, Tore Jensen, Pernille Erland Ottosen, Lisbeth M. Applying multivariate analysis as decision tool for evaluating sediment-specific remediation strategies |
topic_facet |
Electrodialytic remediation Harbour sediments Heavy metals PLS /dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy SDG 7 - Affordable and Clean Energy |
description |
Multivariate methodology was employed for finding optimum remediation conditions for electrodialytic remediation of harbour sediment from an Arctic location in Norway. The parts of the experimental domain in which both sediment- and technology-specific remediation objectives were met were identified. Objectives targeted were removal of the sediment-specific pollutants Cu and Pb, while minimising the effect on the sediment matrix by limiting the removal of naturally occurring metals while maintaining low energy consumption. Two different cell designs for electrochemical remediation were tested and final concentrations of Cu and Pb were below background levels in large parts of the experimental domain when operating at low current densities (<0.12 mA/cm 2 ). However, energy consumption, remediation times and the effect on naturally occurring metals were different for the 2- and 3-compartment cells. |
format |
Article in Journal/Newspaper |
author |
Pedersen, Kristine B. Lejon, Tore Jensen, Pernille Erland Ottosen, Lisbeth M. |
author_facet |
Pedersen, Kristine B. Lejon, Tore Jensen, Pernille Erland Ottosen, Lisbeth M. |
author_sort |
Pedersen, Kristine B. |
title |
Applying multivariate analysis as decision tool for evaluating sediment-specific remediation strategies |
title_short |
Applying multivariate analysis as decision tool for evaluating sediment-specific remediation strategies |
title_full |
Applying multivariate analysis as decision tool for evaluating sediment-specific remediation strategies |
title_fullStr |
Applying multivariate analysis as decision tool for evaluating sediment-specific remediation strategies |
title_full_unstemmed |
Applying multivariate analysis as decision tool for evaluating sediment-specific remediation strategies |
title_sort |
applying multivariate analysis as decision tool for evaluating sediment-specific remediation strategies |
publishDate |
2016 |
url |
https://orbit.dtu.dk/en/publications/2a52c392-7017-4c55-a3b6-0584d7b2ac8c https://doi.org/10.1016/j.chemosphere.2016.02.063 https://backend.orbit.dtu.dk/ws/files/138543553/CHEM37779_Revised_manuscript.pdf |
geographic |
Arctic Norway |
geographic_facet |
Arctic Norway |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Pedersen , K B , Lejon , T , Jensen , P E & Ottosen , L M 2016 , ' Applying multivariate analysis as decision tool for evaluating sediment-specific remediation strategies ' , Chemosphere , vol. 151 , pp. 59-67 . https://doi.org/10.1016/j.chemosphere.2016.02.063 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1016/j.chemosphere.2016.02.063 |
container_title |
Chemosphere |
container_volume |
151 |
container_start_page |
59 |
op_container_end_page |
67 |
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1768383246057340928 |