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一种用于估计微塑料颗粒环境归宿的多媒体模型。

A multimedia model to estimate the environmental fate of microplastic particles.

机构信息

National Institute for Public Health and Environment (RIVM), Centre for Sustainability, Health and Environment, Antonie van Leeuwenhoeklaan 9, 3721 MA Bilthoven, the Netherlands.

National Institute for Public Health and Environment (RIVM), Centre for Safety of Substances and Products, Antonie van Leeuwenhoeklaan 9, 3721 MA Bilthoven, the Netherlands.

出版信息

Sci Total Environ. 2023 Jul 15;882:163437. doi: 10.1016/j.scitotenv.2023.163437. Epub 2023 Apr 12.

Abstract

Nano- and microplastic (NMP) is a diverse and challenging contaminant and data on NMP concentrations are therefore not fully available for all environmental compartments. For environmental assessments of NMP, screening-level multimedia models can fill this gap, but such models are not available. Here, we present SimpleBox4Plastic (SB4P) as the first multimedia 'unit world' model capable of addressing the full NMP continuum, explore its validity, and evaluate it based on a case study for microbeads and by comparisons with (limited) concentration data. SB4P links NMP transport and concentrations in and across air, surface water, sediment, and soil, taking into account processes such as attachment, aggregation, and fragmentation, by solving mass balance equations using matrix algebra. These link all concentrations and processes known to be relevant for NMP using first-order rate constants, which are obtained from the literature. The SB4P model, as applied to microbeads, provided mass or number concentrations of NMP as the total of 'free' particles, heteroaggregates with natural colloids, and larger natural particles in each compartment at steady state. Processes most relevant in explaining observed Predicted Exposure Concentrations (PECs) were determined using rank correlation analysis. Although the predicted PECs remained uncertain due to the propagating uncertainty, inferences regarding these processes and relative distribution across compartments can be considered robust.

摘要

纳米塑料和微塑料(NMP)是一种多样化且具有挑战性的污染物,因此并非所有环境介质中的 NMP 浓度都有完整的数据。对于 NMP 的环境评估,可以使用筛选水平的多介质模型来填补这一空白,但此类模型尚不可用。在这里,我们提出了 SimpleBox4Plastic(SB4P),这是第一个能够涵盖整个 NMP 连续体的多媒体“单元世界”模型,探索了其有效性,并通过微珠案例研究和与(有限)浓度数据的比较来对其进行评估。SB4P 通过使用矩阵代数求解质量平衡方程,将 NMP 在空气、地表水、沉积物和土壤中的传输和浓度联系起来,同时考虑了附着、聚集和碎片化等过程。这些过程通过一阶速率常数相互关联,这些速率常数是从文献中获得的。将 SB4P 模型应用于微珠,在稳态下,每个介质中的 NMP 以“游离”颗粒、与天然胶体异质聚集的颗粒和更大的天然颗粒的总和形式提供了质量或数量浓度。使用秩相关分析确定了最能解释观察到的预测暴露浓度(PEC)的过程。尽管由于传播的不确定性,预测的 PEC 仍然不确定,但可以认为这些过程以及在各介质间的相对分布的推断是可靠的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6978/10238883/3bfc7d918d1c/ga1.jpg

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