Literature DB >> 30803579

Improvement of waste management practices in a fast expanding sub-megacity in Pakistan, on the basis of qualitative and quantitative indicators.

Mustafa Ali1, Yong Geng2, Dawn Robins3, Dave Cooper3, Will Roberts3, Joost Vogtländer4.   

Abstract

This paper deals with an analysis of waste management practices in the fast-growing city of Gujranwala with 2.6 million inhabitants, with a fast growing middle income group of 56%, and an urbanization rate of 3.49% per annum. This city is like many other cities in the developing world, characterised by hardly any waste management infrastructure. The study comprises: (1) an inventory of current waste flows, per income group as well as per season, (2) an inventory of waste management shortcomings, (3)) a what-if analysis on the carbon footprint of three waste treatment techniques. The inventory of current waste flows is based on a comprehensive site study involving 776 samples in total. The waste management shortcomings have been qualitatively analysed by Wasteaware model, which deals with physical aspects (public health, environmental control, resource management) as well as governance factors (user & provider inclusivity, financial stability, institutions & policies). The what-if analysis of the carbon footprint has been based on an LCA-based tool. The findings of this study are that: (1) the optimum choice of waste treatment scenario differs for the seasons, (2) the high and middle income groups have nearly half of the share of the waste (3) the Wasteaware system appears to be a powerful tool to communicate the weak spots and to make stakeholders aware of the opportunities for improvement. The novelty of this paper is that it focused on the impact of household income groups in combination with seasonal differences while comparing different waste disposal scenarios.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Continuous improvement; Greenhouse gas emissions; Household waste; Integrated waste management; Low carbon development; Waste management

Mesh:

Substances:

Year:  2019        PMID: 30803579     DOI: 10.1016/j.wasman.2018.12.030

Source DB:  PubMed          Journal:  Waste Manag        ISSN: 0956-053X            Impact factor:   7.145


  3 in total

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Journal:  Environ Sci Pollut Res Int       Date:  2021-12-01       Impact factor: 5.190

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3.  Factors Influencing the Waste Separation Behaviors of Urban Residents in Shaanxi Province during the 14th National Games of China.

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Journal:  Int J Environ Res Public Health       Date:  2022-04-01       Impact factor: 3.390

  3 in total

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