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结构诱导层状涡旋控制多孔介质中的反常色散。

Structure induced laminar vortices control anomalous dispersion in porous media.

机构信息

Institute of Earth Sciences, University of Lausanne, Lausanne, 1015, Switzerland.

Spanish National Research Council (IDAEA-CSIC), Barcelona, 08034, Spain.

出版信息

Nat Commun. 2022 Jul 2;13(1):3820. doi: 10.1038/s41467-022-31552-5.

Abstract

Natural porous systems, such as soil, membranes, and biological tissues comprise disordered structures characterized by dead-end pores connected to a network of percolating channels. The release and dispersion of particles, solutes, and microorganisms from such features is key for a broad range of environmental and medical applications including soil remediation, filtration and drug delivery. Yet, owing to the stagnant and opaque nature of these disordered systems, the role of microscopic structure and flow on the dispersion of particles and solutes remains poorly understood. Here, we use a microfluidic model system that features a pore structure characterized by distributed dead-ends to determine how particles are transported, retained and dispersed. We observe strong tailing of arrival time distributions at the outlet of the medium characterized by power-law decay with an exponent of 2/3. Using numerical simulations and an analytical model, we link this behavior to particles initially located within dead-end pores, and explain the tailing exponent with a hopping across and rolling along the streamlines of vortices within dead-end pores. We quantify such anomalous dispersal by a stochastic model that predicts the full evolution of arrival times. Our results demonstrate how microscopic flow structures can impact macroscopic particle transport.

摘要

自然多孔系统,如土壤、膜和生物组织,由具有死端孔的无序结构组成,这些孔连接到一个渗流通道网络。从这些特征中释放和分散颗粒、溶质和微生物对于广泛的环境和医疗应用至关重要,包括土壤修复、过滤和药物输送。然而,由于这些无序系统的停滞和不透明性质,微观结构和流动对颗粒和溶质分散的作用仍未得到很好的理解。在这里,我们使用一种微流控模型系统,其孔结构具有分布式死端,以确定颗粒如何被输送、保留和分散。我们观察到在介质的出口处到达时间分布具有很强的尾部,其特征是呈 2/3 指数衰减的幂律衰减。通过数值模拟和分析模型,我们将这种行为与最初位于死端孔内的颗粒联系起来,并通过在死端孔内的涡旋流线上的跳跃和滚动来解释尾部指数。我们通过一个随机模型来量化这种异常分散,该模型可以预测到达时间的完全演化。我们的结果表明微观流动结构如何影响宏观颗粒传输。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aeac/9250523/c6c9865d9e4b/41467_2022_31552_Fig1_HTML.jpg

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