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Environmental Quantification of the Existing Waste Management System in a Developing World Municipality Using EaseTech: The Case of Bahawalpur, Pakistan
doi: 10.3390/su10072424
Evaluation of existing operational and managerial provisions and identification of specific actions that fit and impact in a local context is key to find sustainable solutions. The study aims to develop an understanding of existing waste management practices for a medium sized city of Pakistan and to quantify the related environmental impacts using life cycle assessment (LCA). The existing waste management system in “Bahawalpur”, a city with predominant rural-urban infusion, is characterized by straining resources, low generation rates (0.424 kg/capita/day), prominent source separation, high scavenging activities and open dumping practices. The waste composition analysis proposes organic wastes as the largest constituent (64%) followed by recyclables (27%) and inerts (9%). The LCA model “EaseTech” used to quantify the environmental performance of existing waste management arrangements illustrated that existing waste management system in Bahawalpur City has tangible effects on climate change (3.16 × 107 kg CO2-Eq) and ecotoxicity (3.12 × 106 CTU) categories, while depletion of abiotic resources fossil (−9.60 × 107) category points up most environmental savings. Significant environmental compensations for different impact categories are offered due to high source separation and recycling trade off. The overview necessitates suitable modification in existing waste disposal practice that poses severe impacts on the environment.
- Lahore School of Economics Pakistan
- University of the Punjab Pakistan
impact assessment, developing countries, climate change, life cycle assessment, waste management, Ecotoxicty, EaseTech
impact assessment, developing countries, climate change, life cycle assessment, waste management, Ecotoxicty, EaseTech
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).27 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
