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Estimation of waste outflows for multiple product types in China from 2010–2050
Material flow has been accelerated from underground natural minerals and is accumulating as aboveground waste stock. China is not only the largest producer and consumer of material-driven products, but also the largest generator of product waste. No official annual product waste data are released fo...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7814135/ https://www.ncbi.nlm.nih.gov/pubmed/33462226 http://dx.doi.org/10.1038/s41597-021-00796-z |
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author | Zeng, Xianlai Ali, Saleem H. Li, Jinhui |
author_facet | Zeng, Xianlai Ali, Saleem H. Li, Jinhui |
author_sort | Zeng, Xianlai |
collection | PubMed |
description | Material flow has been accelerated from underground natural minerals and is accumulating as aboveground waste stock. China is not only the largest producer and consumer of material-driven products, but also the largest generator of product waste. No official annual product waste data are released for China, which creates challenges especially in light of China’s emerging waste management policies. Previous studies have presented only estimations of waste streams for single products. In this study, we considered three product types and 33 technological products and collected all the available data. A Kuznets curve and Bass diffusion model were employed to forecast their future consumption. Based on urban consumption metabolism, we created one systematic estimation model of product waste generation related to material flow and social regulation. Typical technological product waste outflows were estimated from 2010 to 2050, which can assist further material flow and environmental impact research, as well as waste management policy-making and technology development. The created model can be potentially extended to other types of product waste estimation. |
format | Online Article Text |
id | pubmed-7814135 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78141352021-01-25 Estimation of waste outflows for multiple product types in China from 2010–2050 Zeng, Xianlai Ali, Saleem H. Li, Jinhui Sci Data Data Descriptor Material flow has been accelerated from underground natural minerals and is accumulating as aboveground waste stock. China is not only the largest producer and consumer of material-driven products, but also the largest generator of product waste. No official annual product waste data are released for China, which creates challenges especially in light of China’s emerging waste management policies. Previous studies have presented only estimations of waste streams for single products. In this study, we considered three product types and 33 technological products and collected all the available data. A Kuznets curve and Bass diffusion model were employed to forecast their future consumption. Based on urban consumption metabolism, we created one systematic estimation model of product waste generation related to material flow and social regulation. Typical technological product waste outflows were estimated from 2010 to 2050, which can assist further material flow and environmental impact research, as well as waste management policy-making and technology development. The created model can be potentially extended to other types of product waste estimation. Nature Publishing Group UK 2021-01-18 /pmc/articles/PMC7814135/ /pubmed/33462226 http://dx.doi.org/10.1038/s41597-021-00796-z Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Zeng, Xianlai Ali, Saleem H. Li, Jinhui Estimation of waste outflows for multiple product types in China from 2010–2050 |
title | Estimation of waste outflows for multiple product types in China from 2010–2050 |
title_full | Estimation of waste outflows for multiple product types in China from 2010–2050 |
title_fullStr | Estimation of waste outflows for multiple product types in China from 2010–2050 |
title_full_unstemmed | Estimation of waste outflows for multiple product types in China from 2010–2050 |
title_short | Estimation of waste outflows for multiple product types in China from 2010–2050 |
title_sort | estimation of waste outflows for multiple product types in china from 2010–2050 |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7814135/ https://www.ncbi.nlm.nih.gov/pubmed/33462226 http://dx.doi.org/10.1038/s41597-021-00796-z |
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