Plastic Waste Management: Challenges and Potential Solution With the application of AI

Plastic Waste Management: Challenges and Potential Solution With the application of AI

Authors

  • Dr. Rattan Sharma Professor Emeritus, DSB & Chairman, Centre for Sustainable Development, VIPS-TC & DSB

Keywords:

waste management, environmental, socioeconomic challenges

Abstract

Plastic waste has emerged as a pressing environmental concern, posing numerous challenges for effective management strategies. This research paper investigates the issues and challenges associated with plastic waste management, aiming to shed light on the complex nature of the problem and propose potential solutions. The study examines the environmental impacts of plastic waste, including pollution of land, water bodies, and ecosystems, as well as its detrimental effects on wildlife and human health. It delves into the socioeconomic challenges of management, considering the costs involved in waste collection, recycling, and disposal, and the economic implications for industries reliant on plastic materials. Additionally, the paper explores the systemic challenges, such as inadequate infrastructure, limited public awareness, and policy gaps, that hinder the implementation of effective waste management practices. Drawing upon existing research, case studies, and expert opinions, this paper seeks to provide a comprehensive analysis of the multifaceted issues and challenges in plastic waste management. Furthermore, it offers insights into potential solutions, including technological advancements, policy interventions, behavioral changes, and the promotion of circular economy principles. By addressing these challenges head-on, society can pave the way towards a more sustainable and responsible approach to plastic waste management, ultimately reducing the environmental burden and protecting the well-being of future generations.

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Published

2023-06-30

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Articles

How to Cite

Plastic Waste Management: Challenges and Potential Solution With the application of AI . (2023). International Journal of Sustainable Development Through AI, ML and IoT, 2(1), 1-27. https://ijsdai.com/index.php/IJSDAI/article/view/19

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