4.7 Article

Washing Machine Filters Reduce Microfiber Emissions: Evidence From a Community-Scale Pilot in Parry Sound, Ontario

期刊

FRONTIERS IN MARINE SCIENCE
卷 8, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fmars.2021.777865

关键词

microfibers; microplastics; textiles; washing machines; mitigation; wastewater treatment

资金

  1. NSERC USRA
  2. NSERC PGSD
  3. Geoff Peach Scholarship Fund
  4. Center for Global Change Studies fellowship
  5. ECCC EcoAction Community Funding Program
  6. Lush Handmade Cosmetics Ltd.
  7. Patagonia Environmental Grants Fund of Tides Foundation
  8. LeVan Family Foundation
  9. Georgian Bay Forever
  10. RBC Foundation
  11. Charles H. Ivey Foundation
  12. J. P. Bickell Foundation

向作者/读者索取更多资源

The study demonstrates that installing washing machine filters at the community level can significantly reduce microfiber emissions, with clear effectiveness in capturing lint.
Washing clothing is a known pathway for microfibers to reach the environment. Previous research has investigated microfiber capture close to the source (i.e., the washing machine), and demonstrated washing machine filters as a potential mitigation strategy. Widespread deployment into homes may be an effective solution to prevent microfiber emissions. Here, we investigated the effectiveness of washing machine filters at the level of a community. We installed filters in 97 homes in a small town, representing approximately 10% of households connected to the municipal wastewater treatment plant (WWTP). We evaluated treated final effluent and found a significant reduction in microfibers after filter installation. Furthermore, lint samples from filters revealed an average weekly lint capture of 6.4 g, equivalent to 179,200-2,707,200 microfibers. This research shows that microfiber filters on washing machines are effective at scale, and this result can help inform policy decisions to reduce microfiber emissions from laundering textiles.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据