Is the pandemic masking waste management? – A review on fallout of the COVID-19 viral contagion
| Autor: | Mahesh Ganesapillai, Aditya Tiwari, Rishabh Mehta, Aritro Sinha, Ishita Sarkar, Bidisha Mondal, Vijayalakshmi Chellappa, Amritbir Riar |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | Green Chemistry Letters and Reviews, Vol 16, Iss 1 (2023) |
| Druh dokumentu: | article |
| ISSN: | 17518253 1751-7192 1751-8253 |
| DOI: | 10.1080/17518253.2022.2164224 |
| Popis: | ABSTRACTThe global outbreak of SARS-CoV-2 has spurred a reassessment of Municipal Solid Waste management strategies and approaches. A significant need for sanitation and hygiene was accentuated for disease prevention and control with the onset of the pandemic. With an alteration of the status quo in waste management system, an unprecedented amount of face masks, protective equipment, and other biological wastes was generated in the form of Municipal Solid Waste . This upsurge of potentially infected wastes originated a risk of transmission amongst frontline workers. Furthermore, the potential contamination of Municipal Solid Waste was rendered as a legitimate threat due to improper collection practices, disposal and handling of solid waste. Several novel waste disposal techniques and waste management policies were also introduced during this period. However, the sanitation-policy making-occupational safety nexus remains inadequately explored under the prevalent COVID-19 scenario. Through the prism of shifting waste composition, this review offers a global assessment of existing solid waste management systems during the COVID-19 pandemic. The physiological and psychological hazards faced by the frontline workers were explored and instances of best-case and worst-case policies on solid waste handling were recorded. Modern methods of waste disposal and latest trends of policymaking were evaluated. A model study of unsupervised learning via Partition Around Medoids cluster analysis was undertaken to reveal underlying patterns of waste management policies. Although, the clusters were formed devoid of any socio-economic parameters, this study strives to indicate proof of concept and can serve as a precursor to advanced clustering studies. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
|