北欧纺织品解剖数据库:北欧零售大众市场和消费后纺织品废料市场中可用服装的组成

IF 1 Q3 MULTIDISCIPLINARY SCIENCES
Heather Margaret Logan, Maggie Ziggie Søndergaard, Valentina Rossi, Kamilla Kastrup Hansen, Anders Damgaard
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引用次数: 0

摘要

纺织品是由多种混合资源制成的复杂材料,通常以独特的配置组装,使每种纺织品具有自己的解剖结构。这些纺织品解剖结构使得消费后纺织品的识别、分离、分类和回收尤其困难。虽然纺织品解剖数据通常是可检索的前和后工业纺织品(生产的边切或废品),它往往是难以检索的纺织品已经到达消费者。由于缺乏对消费前和消费后纺织品废料进行剖析的数据,对消费后纺织品分类和回收活动的预期产量、能力和质量的预测和市场预测存在偏差。这破坏了分类、移除发现和扩展回收技术的规划。为了更好地规划创新需求、市场容量和提高分类和回收活动效率所需的政策杠杆,迫切需要关于消费前和消费后纺织品的独特解剖结构的数据。这一点尤其重要,因为欧盟规定,从2025年开始,所有成员国必须分别收集和处理消费后的纺织品。因此,该数据库包含两个数据集,提供来自后工业-前消费者零售大众市场(RMM)和后消费者纺织废料市场(PCTWM)的5000多个独立服装样本的纺织品解剖学。该数据库包含每件服装的纤维组成、发现存在和层存在的关键数据。这两个数据集是2022年在北欧地区进行的两个单独的废物组成运动的结果:一个集中在RMM(4,495个样本)的纺织品解剖上,另一个集中在PCTWM(1,248个样本)上。RMM数据是在2022年春夏期间通过对丹麦哥本哈根市大众市场零售商的服装进行抽样收集的。PCTWM数据是在2022年冬季,通过在挪威马尔默的SIPTEX分拣设施的分拣线前和分拣线后对消费后纺织废物包进行抽样收集的。在这两个数据集中,通过webapp部署的调查被用来简化采样,并确保一致记录纤维共混物、存在的发现数量和存在的层数。在PCTWM数据集中,提供了关于层纤维组成的附加数据,以及目前发现的位置和类型。这个数据库中的每个数据集都可以被工业生态学家、经济学家和纺织工程师用来更好地预测、绘制和分析预期消费后纺织品的潜在处理方法。此外,收集数据的方法和办法可以作为未来整个欧洲联盟区域数据库的蓝图。使用这个数据库对于分析普通服装对经济、环境和资源的影响,以及为纺织品市场分析、设计指南和循环经济中消费后纺织品废物处理的政策决定提供信息特别有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Nordic textile anatomy database: Composition of garments available in the nordic retail mass market and post-consumer textile waste market
Textiles are complex materials made of multiple and blended resources, often assembled in unique configurations imbuing each textile with its own anatomy. These textile anatomies make the identification, separation, sorting, and recycling of post-consumer textiles, especially, difficult. While textile anatomy data is often retrievable for pre- and post-industrial textiles (off-cuts or rejects from manufacturing), it is often difficult to retrieve for textiles which have reached the consumer. The lack of data available on the textile anatomies of pre- and post-consumer textile waste skews predictions and market forecasts for the expected yields, capacities, and qualities of post-consumer textile sorting and recycling activities. This disrupts planning for sorting, removal of findings, and scaling of recycling technologies. To better plan for the innovation needs, market capacity, and policy levers needed to improve the efficiency of sorting and recycling activities, there is an urgent need for data on the unique anatomies of pre- and post-consumer textiles. This is especially important as the EU mandates that all member states must separately collect and treat post-consumer textiles beginning in 2025.
Therefore, this database contains two datasets offering textile anatomies for more than 5000 separate garment samples from the post-industrial-pre consumer retail mass market (RMM) and the Post-Consumer Textile Waste Market (PCTWM). This database contains crucial data on each garment's fibre composition, finding presence, and layer presence. The two datasets are the results of two separate waste composition campaigns conducted in the Nordic Region in 2022: One focused on the textile anatomies of the RMM (4,495 samples) and the other on the PCTWM (1,248 samples). The RMM data was collected by sampling garments across mass market retailers in the Copenhagen municipality of DK during the spring/summer seasons of 2022. The PCTWM data was collected by sampling post-consumer textile waste bales from pre- and post-sorting lines at the SIPTEX sorting facility in Malmo, SE in the winter of 2022. In both datasets, surveys deployed via webapp were utilized to streamline sampling and ensure consistent recording of the fibre blends, number of findings present, and layers present. In the PCTWM dataset additional data is provided on the fibre composition of layers, as well as the placement and type of findings present.
Each dataset in this database can be used by industrial ecologists, economists, and textile engineers to better forecast, map, and analyse the potential treatment of expected post-consumer textiles. Moreover, the methodology and approach to data gathering can be used as a blueprint for future regionalized databases throughout the European Union. The use of this database can be particularly useful to analyse the economic, environmental, and resource impacts of common garments as well as inform textile market analysis, design guidelines, and policy decisions for the treatment of post-consumer textile waste in the circular economy.
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来源期刊
Data in Brief
Data in Brief MULTIDISCIPLINARY SCIENCES-
CiteScore
3.10
自引率
0.00%
发文量
996
审稿时长
70 days
期刊介绍: Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
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