The role of different sustainable urban drainage systems in removing microplastics from urban runoff: A review

JOURNAL OF CLEANER PRODUCTION(2023)

引用 0|浏览3
暂无评分
摘要
Urban runoff is considered an important source of microplastic pollution. This review provides an in-depth analysis of studies that assess the role of sustainable urban drainage systems (SUDS) as nature-based solutions, to tackle this worldwide problem. Sedimentation-based systems, such as wetlands or ponds, and filtrationbased systems, such as bioretention cells or gardens, as well as permeable pavements have been shown to effectively retain a significant number of MPs. Nevertheless, it is considered that efficiencies can be enhanced through some design improvements, proposed in this review. Polypropylene, Polyethylene terephthalate, Polyethylene and Polystyrene, are the most frequent and abundant polymers in urban runoff, due to high consumption in a wide variety of urban products and activities. Smaller particles and fibers are the most challenging fraction. Maximum rainfall intensity, antecedent dry days, rainfall depth, land use, dwelling density, imperviousness, hydraulic loading, SUDS age, and the presence of forebays or gross pollutant traps have been influential variables on the abundance of MPs in some of the studies, although not always statistically significant. The assessment of the fate of MPs by some studies indicates that they are more concentrated in the sediment or filter media near the inlet, as well as in the shallower layers. The existence of a similar behaviour and a correlation between total suspended solids and microplastic concentration, makes them a potential indicator of microplastic pollution. A wide variability of microplastic detection methods and reporting data format has been found, which makes it difficult to draw global conclusions. Measures to reduce microplastic pollution in urban areas and subjects for further research are finally suggested.
更多
查看译文
关键词
Nature-based solutions,Stormwater,Urban runoff,Microparticles,Tire and road wear particles
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要