| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Kirkelund, Gunvor Marie
Technical University of Denmark
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (23/23 displayed)
- 2024Mapping circular economy practices for steel, cement, glass, brick, insulation, and wood – A review for climate mitigation modelingcitations
- 2022Influence of ash type and mixing methods on workability and compressive strength when using Greenlandic MSWI fly ash as cement replacement in mortar
- 2022Effects of Chlorides and Sulphates on Heavy Metal Leaching from Mortar with Raw and Electrodialytically Treated MSWI Fly Ashcitations
- 2021Impact of electrodialytic remediation of MSWI fly ash on hydration and mechanical properties of blends with Portland cementcitations
- 2020Screening of untreated municipal solid waste incineration fly ash for use in cement-based materials: chemical and physical propertiescitations
- 2019Characterization of sewage sludge ash and its effect on moisture physics of mortarcitations
- 2019Electrodialytically treated MSWI fly ash use in clay bricks
- 2019Screening Untreated Municipal Solid Waste Incineration Fly Ash for Use in Cement-Based Materials – Chemical and Physical Properties
- 2018Using polycarbobetaines for cu recovery from catholytes generated by electrodialytic treatment of sewage sludge ash
- 2017Colour, compressive strength and workability of mortars with an iron rich sewage sludge ashcitations
- 2016Wood ash used as partly sand and/or cement replacement in mortarcitations
- 2016Replacement of 5% of OPC by fly ash and APC residues from MSWI with electrodialytic pre-treatment
- 2015Ammonium citrate as enhancement for electrodialytic soil remediation and investigation of soil solution during the processcitations
- 2015Multivariate methods for evaluating the efficiency of electrodialytic removal of heavy metals from polluted harbour sedimentscitations
- 2014Electrodialytically treated MSWI APC residue as substitute for cement in mortar
- 2014The Aesthetical quality of SSA-containing mortar and concrete
- 2013Effect of pulse current on acidification and removal of Cu, Cd, and As during suspended electrodialytic soil remediationcitations
- 2012Electrodialytic remediation of suspended soil – Comparison of two different soil fractionscitations
- 2012Testing the possibility for reusing mswi bottom ash in Greenlandic road construction
- 2012Characterisation of MSWI bottom ash for potential use as subbase in Greenlandic road construction
- 2009Electrodialytic remediation of harbour sediment in suspension - Evaluation of effects induced by changes in stirring velocity and current density on heavy metal removal and pHcitations
- 2007Electrodialytic extraction of Cd and Cu from sediment from Sisimiut Harbour, Greenlandcitations
- 2005Acidification of Harbour sediment and removal of heavy metals induced by water splitting in electrodialytic remediation.citations
Places of action
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article
Multivariate methods for evaluating the efficiency of electrodialytic removal of heavy metals from polluted harbour sediments
Abstract
Chemometrics was used to develop a multivariate model based on 46 previously reported electrodialytic remediation experiments (EDR) of five different harbour sediments. The model predicted final concentrations of Cd, Cu, Pb and Zn as a function of current density, remediation time, stirring rate, dry/wet sediment, cell set-up as well as sediment properties. Evaluation of the model showed that remediation time and current density had the highest comparative influence on the clean-up levels. Individual models for each heavy metal showed variance in the variable importance, indicating that the targeted heavy,metals were bound to different sediment fractions. Based on the results, a PLS model was used to design five new EDR experiments of a sixth sediment to achieve specified clean-up levels of Cu and Pb. The removal efficiencies were up to 82% for Cu and 87% for Pb and the targeted clean-up levels were met in four out of five experiments. The clean-up levels were better than predicted by the model, which could hence be used for predicting an approximate remediation strategy; the modelling power will however improve with more data included. (C) 2014 Elsevier B.V. All rights reserved.