Paper
29 November 2023 Nonlinear prediction models and cluster analysis for global plastic waste management
Jiayi Hu, Maoxu Wang, Xue Han
Author Affiliations +
Proceedings Volume 12937, International Conference on Internet of Things and Machine Learning (IoTML 2023); 129370M (2023) https://doi.org/10.1117/12.3013290
Event: International Conference on Internet of Things and Machine Learning (IoTML 2023), 2023, Singapore, Singapore
Abstract
Highlighted by durability and availability, plastic product has become an indispensable part from industry to our daily lives. However, the amount of plastic waste far exceeds the amount that humans can safely dispose of. Through Least Squares, our model estimates that the maximum level for plastic waste that can be mitigated is about 11.7 million tons by fitting the data from 1980 to 2015. In the following discussion, we take the situation of each country into account, amend the model results and obtain the conjecture that the amount of disposable plastic waste reduced to the environmentally safe level is 380 million tons. The attempt to achieve the goal affects people’s quality of life and job opportunities to some extent, but it will have great benefits to the ecological environment and human health. In our models, PCA is applied to calculate the Severity Index. To improve equity, we designed a model to categorize countries by their capability to dispose plastic waste. For unsupervised clustering, t-SNE is used to divide countries into three categories. The results make sense and offer policy makers the basis to distribute the burden to every country more reasonably. We strongly recommend that countries with higher income and waste disposal capacity (Category 1) help countries with weaker integrated capacity (Category 2) by investing funds and technology. For middle-income countries (Category 0) with great potential to contribute, we should encourage them to develop sustainable economies, although the rate of economic development may decline in the process.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Jiayi Hu, Maoxu Wang, and Xue Han "Nonlinear prediction models and cluster analysis for global plastic waste management", Proc. SPIE 12937, International Conference on Internet of Things and Machine Learning (IoTML 2023), 129370M (29 November 2023); https://doi.org/10.1117/12.3013290
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
Back to Top