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dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorVliet, Michelle van
dc.contributor.authorSmits, Simon
dc.date.accessioned2022-09-09T04:01:42Z
dc.date.available2022-09-09T04:01:42Z
dc.date.issued2022
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/42712
dc.description.sponsorshipUtrecht University
dc.language.isoEN
dc.subjectMicroplastic in rivers can have a negative effect on the overall water quality and a harming effect on biotic species living in aquatic ecosystems. The drivers of microplastic pollution are therefore important players in determining and counteracting microplastics concentrations in rivers. In this study, multiple linear regression and random forest regression is applied to analyse the influence of socio-economic-, hydrologic- and land use drivers on microplastic concentrations in rivers.
dc.titleDrivers of global microplastic concentrations in rivers. A comparison of the multiple linear regression and random forest regression approach.
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.courseuuEarth Surface and Water
dc.thesis.id10398


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