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An Improved Two-states Cyclical Dynamic Model for Plastic Waste Management

  • John Awuah Addor
  • Eric Neebo Wiah
  • Felix Illesanmi Alao

Asian Research Journal of Mathematics, Page 52-68
DOI: 10.9734/arjom/2022/v18i530378
Published: 12 May 2022

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Abstract


The panacea to the global challenge of plastic waste management is the transition towards plastic circular economy, which can be sustained through tailor-made management strategies. However, cutting-edge strategic solutions are constrained by inadequate data due to inadequate plastic-based predictive models. This paper presents an improved version of an existing two-state cyclical dynamic closed (CDC) model. The CDC model was formulated using a homogeneous linear system of ordinary differential equations (ODEs) and was modified by introducing a separation target which plays an essential role in determining both quantity and quality of recycled plastics. The Laplace transforms technique was the main analytic solution technique used. Values of the parameters were computed using the global plastic data applied for the existing CDC model, and with a technique termed the nth-order product derivative proximity, alternating pairs of initial values were selected each for the global annual plastic production and the global annual plastic waste generation. The validation process of the new CDC model was accomplished using the root mean squared error (RMSE) and the mean average percentage error (MAPE), which are measures of the model’s predictive power. Comparatively, RMSEs of the new CDC model were smaller than the RMSEs of the existing CDC model. MAPEs for the new CDC model were 6.5%  and 7% (as against 13% and 18% in the existing model) respectively for the global annual plastic: production and waste generation, indicating that the new model predicts with 93.5% and 93% degrees of accuracy respectively for the global annual plastic: production and waste generation. Therefore, the new CDC model has outperformed the existing CDC model in terms of predictive power, and thus, establishing the new CDC model as an improved version of the existing one. The model can therefore make impactful policy decisions for sustainable plastic waste management thereby aiding to achieve the transition towards circular economy in plastic waste management.


Keywords:
  • Separation target
  • nth-order product derivative proximity
  • cyclical dynamics
  • closed model
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How to Cite

Addor, J. A., Wiah, E. N., & Alao, F. I. (2022). An Improved Two-states Cyclical Dynamic Model for Plastic Waste Management. Asian Research Journal of Mathematics, 18(5), 52-68. https://doi.org/10.9734/arjom/2022/v18i530378
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References

Addor JA., Wiah EN, Alao FI. Mathematical model for the cyclical dynamics of plastic waste management: A two-state closed model. Journal of Materials Science Research and Review. 2022;9(2):15-36.

Geyer R, Jambeck JR, Law KL. Production, use, and fate of all plastics ever made, Sci. Adv. 2017;3:e1700782.

Li Y, Huang YG. Dynamic analysis for solid waste management systems: an inexact multistage integer programming approach. Journal of the Air & Waste Management Association. 2009;59(3):279-292.

Petersen C, Kaysen O, Manokaren S, Tønning K, Hansen T. Kortlægning af dag- renovation i Danmark [Characterization of residual waste in Denmark]. Danish Environmental Protection Agency; 2014.

Villanueva A, Eder P. End-of-waste criteria for waste plastic for conversion. Luxembourg: Publications Office of the European Union; 2014.

Wang C-Q, Wang H, Liu Y-N. Separation of polyethylene terephthalate from municipal waste plastics by froth flotation for recycling industry. Waste Management. 2014;35:42–47.

Heinzel JV, Larsen CS, Tønning K, Malmgren-Hansen B, Nilsson NH. Mekanisk sortering af plastaffald fra husholdninger [Mechanical sorting of plastic waste from households] [report], Copenhagen. Danish Environmental Protection Agency, 2015.

DEFRA (UK department of for Environment, Food and Rural Affairs). Statistics on waste managed by local authorities in England in 2016/2017; 2017.

Available:https://assets.publishingservice.gov.uk/government/uploads/system/uploads/attachment_data/file/664594/LACW_mgt_annual_Stats_Notice_Dec_2017.pdf

Ragaert K, Delva L, Geem K. Mechanical and chemical recycling of solid plastic waste. Waste Management. 2017;69:24–58.

Vadenbo C, Hellweg S, Astrup TF. Let’s be clear(er) about substitution—a reporting framework to account for product displacement in life cycle assessment. Journal of Industrial Ecology. 2016;21(5):1078–1089.

van der Harst E, Potting J, Kroeze C. Comparison of different methods to include recycling in LCAs of aluminium cans and disposable polystyrene cups. Waste Management. 2016;48:565–583.

Jambeck JR, Geyer R, Wilcox C, Siegler TR, Perryman M, Andrady A, Narayan R, Law KL. Plastic waste inputs from land into the ocean. Science. 2015; 347(6223), 768-771.

Wei R, Zimmermann W. Microbial enzymes for the recycling of recalcitrant petroleum‐based plastics: How far are we? Microbial Biotechnology. 2017; 10 (6):1308–1322.

Alabi OA, Ologbonjaye KI, Awosolu O, Alalade OE. Public and environmental health effects of plastic wastes disposal: A Review. J Toxicol Risk Assess. 2019; 5: 021.

Adotey EK, Addor JA, Mensah S-L. A logistic differential equation model rendition of customers’ consumption of electrical energy. Asian Research Journal of Mathematics. 2016; 1(5): 1-15.

Owusu-Sekyere E, Harris E, Bonyah E. Forecasting and planning solid waste generation in the Kumasi metropolitan area of Ghana: An arima time series approach. International Journal of Sciences. 2013;2(4): 69–83.

Mwenda A, Kuznetsov D, Mirau S. Time series forecasting of solid waste generation in Arusha City-Tanzania. Math Theory Model. 2014;4 (8):29–39.

Asante-Darko D, Adabor ES, Amponsah SK. Forecasting solid waste generation: A Fourier series approach. Int. J. Environment and Waste Management. 2017;19 (4):318-337.

Moody, J. What does RMSE really mean? Towards Data Science; 2019. Available: https://towardsdatascience.com/what-does-rmse-really-mean-806b65f2e48e

Oshinubi, K, Amakor A, Olumuyiwa, JP, Mustapha, R, Demongoet, J. Approach to COVID-19 time series data using deep learning and spectral analysis methods. AIMS Bioengineering. 2022;9(1):1-21

Statista. Plastics production worldwide from 1950 to 2020. 2022. Copyright Jan 12, 2022 Ian Tieso. Available: https://www.statista.com/statistics/282732/global-production-of-plastics-since-1950/

EMF. The new plastic economy: Rethinking the future of plastics and catalising action, 2017. Available:https://ellenmacarthurfoundation.org/the-new-plastic-economy-rethinking-the-future-of-plastics-and-catalising

Guerrero LA, Maas G, Hogland W. Solid waste management challenges for cities in developing countries. Waste Management. 2013;33:220-232.

Senzige JP, Makinde OD, Njau K, Nkansah-Gyekye Y. Computational dynamics of solid waste generation and treatment in the presence of population growth. Asian Journal of Mathematics and Applications. 2014;2014:2307-7743.
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