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微纤维污染:家用洗衣机洗涤过程中微纤维的评估、排放估算和基于时间序列的预测,以及缓解措施。

Microfiber pollution: Assessment, emission estimation, and time-series-based forecast of microfibers from domestic washing machine laundering and mitigation measures.

机构信息

School of Environmental Studies, Cochin University of Science and Technology, Cochin, India.

Centre for Science in Society, Cochin University of Science and Technology, Cochin, India.

出版信息

Integr Environ Assess Manag. 2024 Nov;20(6):2116-2127. doi: 10.1002/ieam.4985. Epub 2024 Aug 26.

Abstract

Microfibers are thread-like structures shorter than 5 mm and have natural, semisynthetic, or synthetic origins. These micropollutants are ubiquitous and are emerging in the environment, living organisms, and food sources. Textile laundering is a prominent source of microfibers, but limited research has been conducted on microfiber pollution from domestic washing machines in emerging economies such as India, where consumption and production rates are exorbitantly high. This study aimed to assess the abundance and size distribution of microfibers from the effluent of a semiautomatic domestic washing machine using three categories of "not-new" textiles: cotton, blended, and synthetic under "with" and "without" detergent conditions. Although most Indians still rely on hand washing, this study focused on washing machines due to their increasing use in India driven by improving socioeconomic factors. This study also developed annual emission estimation and forecasting models for India to understand pollution trends. The results revealed that microfibers were highly abundant in washing machine effluent, with a mean abundance of cotton, blended, and synthetic in "with detergent" conditions of 6476.67, 3766.67, and 8645/L, respectively, whereas in "without detergent," it was lower. All identified microfibers were divided into five size classes. The study also found that powdered detergent increased the abundance and emission of tiny fibers. The overall annual emissions estimate was 1.23 × 10 microfibers, with cotton, synthetic, and blended categories accounting for 2.11 × 10, 1.40 × 10, and 6.15 × 10 microfibers, respectively. Time-series-based future estimates (autoregressive integrated moving average [ARIMA] and error-trend-seasonality [ETS]) showed an alarming increase in microfiber emissions, with forecasted annual emission reaching 1.90 × 10 by 2030. Synthetic and cotton textiles are the most significant contributors to microfiber pollution. This study emphasized the urgent need to address the issue of microfiber pollution caused by washing machine laundering in developing countries, such as India, where sociodemographic factors intensify the problem. Integr Environ Assess Manag 2024;20:2116-2127. © 2024 SETAC.

摘要

微纤维是指长度短于 5 毫米的线状结构,具有天然、半合成或合成来源。这些微污染物无处不在,正在环境、生物活体和食物来源中出现。纺织品洗涤是微纤维的一个主要来源,但在印度等新兴经济体,对家用洗衣机产生的微纤维污染的研究有限,而这些国家的消费和生产速度非常高。本研究旨在评估半自动家用洗衣机废水的微纤维丰度和大小分布,使用三类“非新”纺织品:棉、混纺和合成纤维,在“有”和“无”洗涤剂条件下。尽管大多数印度人仍然依赖手洗,但由于社会经济因素的改善,洗衣机在印度的使用越来越多,因此本研究侧重于洗衣机。本研究还为印度开发了年度排放估算和预测模型,以了解污染趋势。结果表明,微纤维在洗衣机废水中含量丰富,在“有洗涤剂”条件下,棉、混纺和合成纤维的平均丰度分别为 6476.67、3766.67 和 8645/L,而在“无洗涤剂”条件下则较低。所有鉴定出的微纤维均分为五个大小类。研究还发现,粉状洗涤剂增加了微小纤维的丰度和排放。总的年排放量估计为 1.23×10 微纤维,其中棉、合成和混纺类别分别占 2.11×10、1.40×10 和 6.15×10 微纤维。基于时间序列的未来预测(自回归综合移动平均 [ARIMA] 和误差趋势季节性 [ETS])显示,微纤维排放呈惊人增长,预计到 2030 年,年排放量将达到 1.90×10。合成和棉纺织品是微纤维污染的主要贡献者。本研究强调,迫切需要解决发展中国家(如印度)洗衣机洗涤引起的微纤维污染问题,社会人口因素加剧了这一问题。综合环境评估与管理 2024;20:2116-2127。2024 年 SETAC 版权所有。

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