University of Chichester Business School, Bognor Regis Campus, Upper Bognor Road, Bognor Regis, West Sussex PO21 1HR, United Kingdom; School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
Waste Manag. 2019 Feb 15;85:253-263. doi: 10.1016/j.wasman.2018.12.030. Epub 2019 Jan 2.
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.
本文针对拥有 260 万居民、56%中等收入群体快速增长且城市化率以每年 3.49%速度增长的快速发展城市——古杰兰瓦拉,分析了其垃圾管理实践。该城市与发展中国家的许多其他城市一样,几乎没有任何垃圾管理基础设施。本研究包括:(1)按收入群体和季节对当前垃圾流量进行清单编制;(2)对垃圾管理缺陷进行清单编制;(3)对三种垃圾处理技术的碳足迹进行假设分析。当前垃圾流量清单编制基于一项综合现场研究,总共涉及 776 个样本。废物意识模型对废物管理缺陷进行了定性分析,该模型涉及物理方面(公共卫生、环境控制、资源管理)和治理因素(用户和提供者包容性、财务稳定性、机构和政策)。碳足迹的假设分析基于基于生命周期评估的工具。本研究的发现是:(1)不同季节垃圾处理方案的最优选择不同;(2)高收入和中等收入群体的垃圾量几乎占一半;(3)废物意识系统似乎是一种强大的工具,可以传达弱点,并使利益相关者意识到改进的机会。本文的新颖之处在于,它侧重于结合季节差异来比较不同的废物处理方案时,家庭收入群体的影响。