Using machine learning and beach cleanup data to explain litter quantities along the Dutch North Sea coast

Coastlines potentially harbor a large part of litter entering the oceans, such as plastic waste. The relative importance of the physical processes that influence the beaching of litter is still relatively unknown. Here, we investigate the beaching of litter by analyzing a data set of litter gathered along the Dutch North Sea coast during extensive beach cleanup efforts between the years 2014 and 2019. This data set is unique in the sense that data are gathered consistently over various years by many volunteers (a total of 14 000) on beaches that are quite similar in substrate (sandy). This mak... Mehr ...

Verfasser: M. L. A. Kaandorp
S. L. Ypma
M. Boonstra
H. A. Dijkstra
E. van Sebille
Dokumenttyp: Artikel
Erscheinungsdatum: 2022
Reihe/Periodikum: Ocean Science, Vol 18, Pp 269-293 (2022)
Verlag/Hrsg.: Copernicus Publications
Schlagwörter: Geography. Anthropology. Recreation / G / Environmental sciences / GE1-350
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-26627750
Datenquelle: BASE; Originalkatalog
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Link(s) : https://doi.org/10.5194/os-18-269-2022