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Plastic clean-up and prevention overview
Citable as data publication
Leone, G.; Moulaert, I.; Devriese, L.I.; Sandra, M.; Pauwels, I.; Goethals, P.L.M.; Everaert, G.; Catarino, A.I.; Research Group Aquatic Ecology: Ghent University; Flanders Marine Institute (VLIZ); Aquatic Management: Research Institute for Nature and Forest: Belgium; (2023): Plastic clean-up and prevention overview. Marine Data Archive. https://doi.org/10.14284/596
Contact: Leone, Giulia
Availability: Creative Commons License This dataset is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Description
In this dataset 124 plastic remediation technologies are listed with 29 of their key characteristics. The dataset has been compiled by merging a systematic literature review performed on the 29th of June 2022 on the electronic database Scopus and a non-systematic review.
Scope
Themes:
Environmental quality/pollution > Pollution levels & monitoring
Keywords:
Plastics, Prevention and clean-up technologies, Remediation technologies, SWOT analysis, Global
Geographical coverage
Global
Temporal coverage
1 July 2021 - 20 January 2023
Not relevant
Contributors
Universiteit Gent; Faculteit Bio-ingenieurswetenschappen; Vakgroep Dierwetenschappen en Aquatische Ecologie; Onderzoeksgroep Aquatische ecologie (AECO), more, data creator, data creator
Leone, Giulia
Goethals, Peter
Vlaams Instituut voor de Zee (VLIZ), more, data creator, data creator
Moulaert, Ine
Devriese, Lisa
Sandra, Matthias
Everaert, Gert
Catarino, Ana
Vlaamse overheid; Beleidsdomein Omgeving; Instituut voor Natuur- en Bosonderzoek (INBO), more, data creator, data creator
Pauwels, Ine
Project
PhD Decision support framework for plastic clean-up technologies in rivers and estuaries: minimizing unintentional bycatch while maintaining efficient plastic removal under realistic environmental conditions, more
Publication
Based on this dataset
Leone, G. et al. (2023). A comprehensive assessment of plastic remediation technologies. Environ. Int. 173: 107854. https://dx.doi.org/10.1016/j.envint.2023.107854, more
Dataset status: Completed
Data type: Data
Data origin: Literature research
Metadatarecord created: 2023-03-02
Information last updated: 2023-03-02
All data in the Integrated Marine Information System (IMIS) is subject to the VLIZ privacy policy