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Predicting microplastic masses in river networks with high spatial resolution at country level

Environmental Studies and Forestry

Predicting microplastic masses in river networks with high spatial resolution at country level

D. Mennekes and B. Nowack

Discover groundbreaking research by David Mennekes and Bernd Nowack that presents a high-resolution model predicting microplastic masses in Swiss river networks. This innovative study highlights the critical role of catchment characteristics in microplastic transport and the necessity for precise, spatially distributed release data in large-area estimations.

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Playback language: English
Abstract
This paper presents a high-resolution model predicting microplastic masses in Swiss river networks for seven polymers. The model couples microplastic release and fate models, revealing that catchment characteristics (release distribution, lake presence, river connections) are crucial for microplastic transport, alongside polymer properties like density. Results highlight the importance of spatially distributed release data and high-resolution modeling for accurate microplastic estimations in large areas.
Publisher
Nature Water
Published On
Jun 08, 2023
Authors
David Mennekes, Bernd Nowack
Tags
microplastics
river networks
predictive modeling
environmental science
catchment characteristics
pollution transport

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