葡萄牙吉马尔斯市无差别城市固体废物流中纺织废物产生的研究

Alona Perebynos, Dalila Sepúlveda, Carlos Ribeiro
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引用次数: 3

摘要

吉马尔是葡萄牙北部的一个中等规模的城市和直辖市。市政府承诺,根据“零废物城市认证”进程,到2030年,将无区别城市固体废物(MSW)的年产生量从2021年的人均371公斤减少到人均120公斤。在吉马尔斯市,城市生活垃圾组成的一个固定部分是纺织废物(TW),修订后的欧盟废物框架指令要求在2025年1月1日之前对其进行单独收集。因此,分析了两项TW生成指标,以确定具有高纺织废物生成水平的废物收集路线,以便优先实施分类收集:无差别都市生活垃圾流中的TW组成和人均TW生成。采用基本统计分析方法对无差别生活垃圾流中TW组分源数据进行处理。考虑收集路径的区域类型(城市、农村或混合),对人均TW发电量数据集进行聚类分析。据认为,guimar斯39%的工业部门由纺织和服装生产组成,代表中小型企业,这可能会影响未分化的城市生活垃圾流中的TW生成。采用因果比较研究的方法,确定了本市人均TW发电量与纺织服装业经济活动之间的相关性。因此,采用多学科的方法,提出了一个纺织废物生成地图的项目。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Study on textile waste generation in the undifferentiated municipal solid waste stream in Guimarães, Portugal

Study on textile waste generation in the undifferentiated municipal solid waste stream in Guimarães, Portugal

Guimarães is a middle sized city and municipality located in northern Portugal. The municipality has committed to reducing the annual amount of undifferentiated municipal solid waste (MSW) from 371 kg/capita in 2021 to 120 kg/capita by 2030 under the Zero Waste Cities Certification process. In the municipality of Guimarães, one of the constant fractions of MSW composition is textile waste (TW), which the revised EU Waste Framework Directive requires separate collection by 1 January 2025. Therefore, two indicators of TW generation were analysed to identify waste collection routes with a high level of textile waste generation for the priority implementation of separate collection: TW composition in the undifferentiated MSW stream and TW generation per capita. Basic statistical analysis methods were used to process the source data of TW composition in the undifferentiated MSW stream. Cluster analysis was applied to the data set on TW generation per capita, considering the area typology (urban, rural or mixed) of collection routes. It was considered that 39% of the industrial sector of Guimarães consists of textile and clothing production and represents small- and medium-sized enterprises, which can affect TW generation in the undifferentiated MSW stream. Causal-comparative research was used to define the correlation between TW generation per capita and the economic activity of the textile and clothing industry in the municipality. As a result, applying a multi-disciplinary approach, a project of the Textile Waste Generation Map was presented.

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