Article ; Online: Evaluation on production trend, compositions, and impact of plastic waste in Chengdu, southwestern China.
Journal of the Air & Waste Management Association (1995)
2022 Volume 72, Issue 12, Page(s) 1454–1462
Abstract: Based on statistical data from 2005 to 2019, we used the back propagation (BP) neural network model to predict the production amount of plastic waste in Chengdu. In addition to the amount of waste produced we wanted to achieve an understanding of its ... ...
| Abstract | Based on statistical data from 2005 to 2019, we used the back propagation (BP) neural network model to predict the production amount of plastic waste in Chengdu. In addition to the amount of waste produced we wanted to achieve an understanding of its composition and environmental impacts. Compositions of plastic waste were analyzed by sampling. Particulate matter in the air and greenhouse gas emissions (GHGs) from plastic waste incineration, bisphenol A (BPA) from plastic waste landfills, were also evaluated. Results indicated that (a) economic development, urban construction level, and residents' consumption were pusitively correlated to different degrees to plastic waste production; (b) the production of plastic waste in Chengdu in 2025 and 2030 will reach 865.3 and 931 kilotons (Kt), respectively; (c) high density polyethylene (HDPE) and polypropylene (PP) are the two main components of plastic waste in Chengdu and accounted for 40.17% and 24.96%, respectively; (d) different degrees of environmental impacts occurred during plastic waste incineration and landfill (taking 2019 as an example, the incineration of plastic waste in Chengdu produced between 2874.82 and 4711.73 tons of inhalable particulate matter (PM) and emitted between 725.4 and 867.4 Kt of CO |
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| Language | English | |||||
| Publishing date | 2022-10-26 | |||||
| Publishing country | United States | |||||
| Document type | Journal Article | |||||
| ZDB-ID | 1003064-5 | |||||
| ISSN | 2162-2906 ; 0894-0630 ; 1047-3289 ; 1096-2247 | |||||
| ISSN (online) | 2162-2906 | |||||
| ISSN | 0894-0630 ; 1047-3289 ; 1096-2247 | |||||
| DOI | 10.1080/10962247.2022.2126558 | |||||
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| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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