Plastic waste discharge to the global ocean constrained by seawater observations

Journal Article (2023)
Author(s)

Yanxu Zhang (Nanjing University)

Peipei Wu (Nanjing University)

Ruochong Xu (Nanjing University)

Xuantong Wang (Nanjing University)

Lili Lei (Nanjing University)

Amina T. Schartup (University of California)

Yiming Peng (Nanjing University)

Qiaotong Pang (Nanjing University)

Arjen Luijendijk (TU Delft - Civil Engineering & Geosciences, Deltares)

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Research Group
Coastal Engineering
DOI related publication
https://doi.org/10.1038/s41467-023-37108-5 Final published version
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Publication Year
2023
Language
English
Research Group
Coastal Engineering
Journal title
Nature Communications
Issue number
1
Volume number
14
Article number
1372
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243
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Abstract

Marine plastic pollution poses a potential threat to the ecosystem, but the sources and their magnitudes remain largely unclear. Existing bottom-up emission inventories vary among studies for two to three orders of magnitudes (OMs). Here, we adopt a top-down approach that uses observed dataset of sea surface plastic concentrations and an ensemble of ocean transport models to reduce the uncertainty of global plastic discharge. The optimal estimation of plastic emissions in this study varies about 1.5 OMs: 0.70 (0.13–3.8 as a 95% confidence interval) million metric tons yr−1 at the present day. We find that the variability of surface plastic abundance caused by different emission inventories is higher than that caused by model parameters. We suggest that more accurate emission inventories, more data for the abundance in the seawater and other compartments, and more accurate model parameters are required to further reduce the uncertainty of our estimate.