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拉各斯大学固体废物的产生和特性分析及可持续废物管理

Solid waste generation and characterization in the University of Lagos for a sustainable waste management.

机构信息

Department of Civil & Environmental Engineering and Director of Works & Physical Planning, University of Lagos, Nigeria.

Works & Physical Planning Department, University of Lagos, Nigeria.

出版信息

Waste Manag. 2017 Sep;67:3-10. doi: 10.1016/j.wasman.2017.05.002. Epub 2017 May 19.

Abstract

Waste characterization is the first step to any successful waste management policy. In this paper, the characterization and the trend of solid waste generated in University of Lagos, Nigeria was carried out using ASTM D5231-92 and Resource Conservation Reservation Authority RCRA Waste Sampling Draft Technical Guidance methods. The recyclable potential of the waste is very high constituting about 75% of the total waste generated. The estimated average daily solid waste generation in Unilag Akoka campus was estimated to be 32.2tons. The solid waste characterization was found to be: polythene bags 24% (7.73tons/day), paper 15% (4.83tons/day), organic matters 15%, (4.83tons/day), plastic 9% (2.90tons/day), inert materials 8% (2.58tons/day), sanitary 7% (2.25tons/day), textile 7% (2.25tons/day), others 6% (1.93tons/day), leather 4% (1.29tons/day) metals 3% (0.97tons/day), glass 2% (0.64tons/day) and e-waste 0% (0.0tons/day). The volume and distribution of polythene bags generated on campus had a positive significant statistical correlation with the distribution of commercial and academic structures on campus. Waste management options to optimize reuse, recycling and reduce waste generation were discussed.

摘要

废物特性描述是任何成功的废物管理政策的第一步。在本文中,使用 ASTM D5231-92 和资源保护储备局 RCRA 废物抽样草案技术指南方法,对尼日利亚拉各斯大学产生的固体废物进行了特性描述和趋势分析。废物的可回收潜力非常高,约占总废物产生量的 75%。估计拉各斯大学阿科卡校区的日均固体废物产生量为 32.2 吨。固体废物特性描述为:塑料袋 24%(7.73 吨/天)、纸 15%(4.83 吨/天)、有机物 15%(4.83 吨/天)、塑料 9%(2.90 吨/天)、惰性物质 8%(2.58 吨/天)、卫生材料 7%(2.25 吨/天)、纺织品 7%(2.25 吨/天)、其他 6%(1.93 吨/天)、皮革 4%(1.29 吨/天)、金属 3%(0.97 吨/天)、玻璃 2%(0.64 吨/天)和电子废物 0%(0.0 吨/天)。校园内产生的塑料袋数量和分布与校园内商业和学术结构的分布呈正相关显著统计学关系。讨论了优化再利用、回收和减少废物产生的废物管理选项。

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