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Environmental Sources
Marine & Wildlife
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Trash Taxonomy Tool: harmonizing classification systems used to describe trash in environments
Microplastics and Nanoplastics2022
18 citations
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Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Score: 35
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0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Win Cowger,
Win Cowger,
Win Cowger,
Win Cowger,
Win Cowger,
Samiksha Singh
Hannah Hapich,
Hannah Hapich,
Hannah Hapich,
Win Cowger,
Win Cowger,
Win Cowger,
Win Cowger,
Shelly Moore,
Win Cowger,
Win Cowger,
Win Cowger,
Win Cowger,
Win Cowger,
Win Cowger,
Win Cowger,
Win Cowger,
Win Cowger,
Win Cowger,
Win Cowger,
Win Cowger,
Win Cowger,
Win Cowger,
Andrew B. Gray,
Andrew B. Gray,
Win Cowger,
Win Cowger,
Win Cowger,
Win Cowger,
Andrew B. Gray,
Andrew B. Gray,
Win Cowger,
Win Cowger,
Win Cowger,
Win Cowger,
Win Cowger,
Win Cowger,
Win Cowger,
Win Cowger,
Win Cowger,
Win Cowger,
Win Cowger,
Peter Köhler,
Andrew B. Gray,
Andrew B. Gray,
Andrew B. Gray,
Andrew B. Gray,
Andrew B. Gray,
Andrew B. Gray,
Andrew B. Gray,
Win Cowger,
Win Cowger,
Samiksha Singh
Samiksha Singh
Samiksha Singh
Samiksha Singh
Samiksha Singh
Samiksha Singh
Andrew B. Gray,
Andrew B. Gray,
Andrew B. Gray,
Andrew B. Gray,
Andrew B. Gray,
Andrew B. Gray,
Shelly Moore,
Shelly Moore,
Shelly Moore,
Kathryn Youngblood,
Win Cowger,
Hannah Hapich,
Win Cowger,
Andrew B. Gray,
Win Cowger,
Win Cowger,
Win Cowger,
Win Cowger,
Andrew B. Gray,
Andrew B. Gray,
Andrew B. Gray,
Andrew B. Gray,
Hannah Hapich,
Hannah Hapich,
Hannah Hapich,
Hannah Hapich,
Charles J. Moore,
Neil Tangri,
Jeremiah Mock,
Charles J. Moore,
Shelly Moore,
Charles J. Moore,
Win Cowger,
Walter Yu,
Tony Hale,
Charles J. Moore,
Win Cowger,
Hannah Hapich,
Kathryn Youngblood,
Win Cowger,
Peter Köhler,
Win Cowger,
Walter Yu,
Win Cowger,
Win Cowger,
Tony Hale,
Win Cowger,
Win Cowger,
Andrew B. Gray,
Andrew B. Gray,
Amr Magdy,
Win Cowger,
Charles J. Moore,
Andrew B. Gray,
Hannah Hapich,
Win Cowger,
Charles J. Moore,
Win Cowger,
Charles J. Moore,
Antoinette Vermilye,
Win Cowger,
Charles J. Moore,
Antoinette Vermilye,
Win Cowger,
Walter Yu,
Win Cowger,
Win Cowger,
Charles J. Moore,
Charles J. Moore,
Walter Yu,
Charles J. Moore,
Charles J. Moore,
Win Cowger,
Dick Ayres,
Tony Hale,
Dick Ayres,
Tony Hale,
Andrew B. Gray,
Win Cowger,
Andrew B. Gray,
Charles J. Moore,
Charles J. Moore,
John Vermilye,
John Vermilye,
Charles J. Moore,
Charles J. Moore,
Margaret McCauley,
Samiksha Singh
Aaron N. K. Haiman,
Aaron N. K. Haiman,
Kathryn Youngblood,
Andrew B. Gray,
Yunfan Kang,
Shelly Moore,
Margaret McCauley,
Win Cowger,
Margaret McCauley,
Charles J. Moore,
Charles J. Moore,
Andrew B. Gray,
Trevor Lok,
Andrew B. Gray,
Trevor Lok,
Andrew B. Gray,
Shelly Moore,
Andrew B. Gray,
Win Cowger,
Eric M. Baggs,
Eric M. Baggs,
Andrew B. Gray,
Sherry M. Lippiatt,
Peter Köhler,
Shelly Moore,
Shelly Moore,
Shelly Moore,
Gary Conley,
Gary Conley,
Janna Taing,
Janna Taing,
Win Cowger,
Jeremiah Mock,
Andrew B. Gray,
Samiksha Singh
Samiksha Singh
Summary
Researchers analyzed 68 trash survey classification lists to assess the comparability of existing typology systems for describing solid waste pollution in environmental monitoring programs worldwide. They developed a standardized relational framework to harmonize classification systems, enabling cross-dataset comparisons and improving the utility of global trash monitoring data.
Abstract Despite global efforts to monitor, mitigate against, and prevent trash (mismanaged solid waste) pollution, no harmonized trash typology system has been widely adopted worldwide. This impedes the merging of datasets and comparative analyses. We addressed this problem by 1) assessing the state of trash typology and comparability, 2) developing a standardized and harmonized framework of relational tables and tools, and 3) informing practitioners about challenges and potential solutions. We analyzed 68 trash survey lists to assess similarities and differences in classification. We created comprehensive harmonized hierarchical tables and alias tables for item and material classes. On average, the 68 survey lists had 20.8% of item classes in common and 29.9% of material classes in common. Multiple correspondence analysis showed that the 68 surveys were not significantly different regarding organization type, ecosystem focus, or substrate focus. We built the Trash Taxonomy Tool (TTT) web-based application with query features and open access at openanalysis.org/trashtaxonomy. The TTT can be applied to improve, create, and compare trash surveys, and provides practitioners with tools to integrate datasets and maximize comparability. The use of TTT will ultimately facilitate improvements in assessing trends across space and time, identifying targets for mitigation, evaluating the effectiveness of prevention measures, informing policymaking, and holding producers responsible.