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A local-to-global emissions inventory of macroplastic pollution

Environmental Studies and Forestry

A local-to-global emissions inventory of macroplastic pollution

J. W. Cottom, E. Cook, et al.

This study by Joshua W. Cottom, Ed Cook, and Costas A. Velis tackles the pressing issue of global macroplastic pollution, estimating emissions at 52.1 million metric tonnes per year. Discover how littering and uncollected waste differ across the Global North and South, and how these findings can shape waste management strategies and treaty negotiations.... show more
Abstract
Negotiations for a global treaty on plastic pollution will shape future policies on plastics production, use and waste management. Its parties will benefit from a high-resolution baseline of waste flows and plastic emission sources to enable identification of pollution hotspots and their causes. Nationally aggregated waste management data can be distributed to smaller scales to identify generalized points of plastic accumulation and source phenomena, but it is challenging to use this type of spatial allocation to assess the conditions under which emissions take place. Here we develop a global macroplastic pollution emissions inventory by combining conceptual modelling of emission mechanisms with measurable activity data. We define emissions as materials that have moved from the managed or mismanaged system (controlled or contained state) to the unmanaged system (uncontrolled or uncontained state—the environment). Using machine learning and probabilistic material flow analysis, we identify emission hotspots across 50,702 municipalities worldwide from five land-based plastic waste emission sources. We estimate global plastic waste emissions at 52.1 [48.3–56.3] million metric tonnes (Mt) per year, with approximately 57% wt. and 43% wt. open burned and unburned debris, respectively. Littering is the largest emission source in the Global North, whereas uncollected waste is the dominant source across the Global South. Our findings can help inform treaty negotiations and develop national and sub-national waste management action plans and source inventories.
Publisher
Nature
Published On
Sep 05, 2024
Authors
Joshua W. Cottom, Ed Cook, Costas A. Velis
Tags
macroplastic pollution
emissions inventory
machine learning
municipalities
waste management
Global North
Global South
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