A. Samuel Pottinger, Roland Geyer, Nivedita Biyani, Ciera C Martinez, Neil Nathan, Molly R Morse, Chao Liu, Shanying Hu, Magali de Bruyn, Carl Boettiger, Elijah Baker, Douglas J McCauley
{"title":"Pathways to reduce global plastic waste mismanagement and greenhouse gas emissions by 2050","authors":"A. Samuel Pottinger, Roland Geyer, Nivedita Biyani, Ciera C Martinez, Neil Nathan, Molly R Morse, Chao Liu, Shanying Hu, Magali de Bruyn, Carl Boettiger, Elijah Baker, Douglas J McCauley","doi":"10.1126/science.adr3837","DOIUrl":null,"url":null,"abstract":"Plastic production and plastic pollution negatively affect our environment, environmental justice, and climate change. Using detailed global and regional plastics datasets coupled with socio-economic data, we employ machine learning to predict that, without intervention, annual mismanaged plastic waste will nearly double to 121 Mt (100 - 139 Mt 95% CI) by 2050. Annual greenhouse gas emissions from the plastic system are projected to grow by 37% to 3.35 Gt CO <jats:sub>2</jats:sub> equivalent (3.09 - 3.54 CO <jats:sub>2</jats:sub> e) over the same period. The United Nations plastic pollution treaty presents a unique opportunity to reshape these outcomes. We simulate eight candidate treaty policies and find that just four could together reduce mismanaged plastic waste by 91% (86% - 98%) and gross plastic-related greenhouse gas emissions by one third.","PeriodicalId":21678,"journal":{"name":"Science","volume":null,"pages":null},"PeriodicalIF":44.7000,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1126/science.adr3837","RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Plastic production and plastic pollution negatively affect our environment, environmental justice, and climate change. Using detailed global and regional plastics datasets coupled with socio-economic data, we employ machine learning to predict that, without intervention, annual mismanaged plastic waste will nearly double to 121 Mt (100 - 139 Mt 95% CI) by 2050. Annual greenhouse gas emissions from the plastic system are projected to grow by 37% to 3.35 Gt CO 2 equivalent (3.09 - 3.54 CO 2 e) over the same period. The United Nations plastic pollution treaty presents a unique opportunity to reshape these outcomes. We simulate eight candidate treaty policies and find that just four could together reduce mismanaged plastic waste by 91% (86% - 98%) and gross plastic-related greenhouse gas emissions by one third.
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