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小的微塑料碎片和纤维的沉降速度。

Settling Velocities of Small Microplastic Fragments and Fibers.

机构信息

Chair of Water Quality Control, Technische Universität Berlin, Sekr. KF4, Straße des 17. Juni 135, 10623 Berlin, Germany.

GEOMAR Helmholtz Centre for Ocean Research Kiel, Wischhofstraße 1-3, 24148 Kiel, Germany.

出版信息

Environ Sci Technol. 2024 Apr 9;58(14):6359-6369. doi: 10.1021/acs.est.3c09602. Epub 2024 Mar 21.

Abstract

There is only sparse empirical data on the settling velocity of small, nonbuoyant microplastics thus far, although it is an important parameter governing their vertical transport within aquatic environments. This study reports the settling velocities of 4031 exemplary microplastic particles. Focusing on the environmentally most prevalent particle shapes, irregular microplastic fragments of four different polymer types (9-289 μm) and five discrete length fractions (50-600 μm) of common nylon and polyester fibers are investigated, respectively. All settling experiments are carried out in quiescent water by using a specialized optical imaging setup. The method has been previously validated in order to minimize disruptive factors, e.g., thermal convection or particle interactions, and thus enable the precise measurements of the velocities of individual microplastic particles (0.003-9.094 mm/s). Based on the obtained data, ten existing models for predicting a particle's terminal settling velocity are assessed. It is concluded that models, which were specifically deduced from empirical data on larger microplastics, fail to provide accurate predictions for small microplastics. Instead, a different approach is highlighted as a viable option for computing settling velocities across the microplastics continuum in terms of size, density, and shape.

摘要

迄今为止,关于小而非浮性微塑料的沉降速度仅有少量的经验数据,尽管它是控制其在水生环境中垂直迁移的重要参数。本研究报告了 4031 个典型微塑料颗粒的沉降速度。本研究集中于环境中最常见的颗粒形状,分别研究了四种不同聚合物类型(9-289 μm)的不规则微塑料碎片和五种离散长度分数(50-600 μm)的常见尼龙和聚酯纤维。所有沉降实验均在静止水中进行,使用专门的光学成像装置。为了最小化热对流或颗粒相互作用等破坏性因素,该方法已事先进行了验证,从而能够精确测量单个微塑料颗粒的速度(0.003-9.094 mm/s)。基于获得的数据,评估了十个现有的预测颗粒终端沉降速度的模型。研究结果表明,从较大微塑料的经验数据中专门推导出来的模型无法准确预测小微塑料。相反,突出了一种不同的方法,作为在大小、密度和形状方面计算整个微塑料连续体沉降速度的可行选择。

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