以标度定律为特征的异常扩散的物理机理分析

IF 3.1 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY
Nuo Xu , HongGuang Sun , Xiangnan Yu , Xiaoting Liu
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引用次数: 0

摘要

位移方差的标度规律是识别异质介质中溶质输运特征的重要标志。然而,基于标度规律将异常扩散分为亚扩散和超扩散并不能完全捕捉溶质输运的潜在机制。我们采用连续时间随机漫步(CTRW)和空间马尔可夫模型(SMM)来捕捉各种微观机制及其相应的位移方差。在位移方差标度律为固定值的情况下,通过突破曲线和空间快照进行了详细的分析,探讨了给定机制之间的区别。分析结果表明,在相同位移方差标度律下,由优先流动、吸附和速度相关驱动的异常输运行为可能具有根本区别。另一方面,亚扩散和超扩散都可以由优先流动、吸附和速度相关等竞争机制的相互作用产生。最后,在对实际情况进行物理机理分析的基础上,对选择合适的运输模式提出了建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Physical mechanism analysis of anomalous diffusion characterized by scaling law
The scaling law of displacement variance serves as an important signature in identifying the characteristics of solute transport in heterogeneous media. However, classifying anomalous diffusion into sub-diffusion and super-diffusion based on scaling laws does not fully capture the underlying mechanisms of solute transport. We employ Continuous Time Random Walk (CTRW) and Spatial Markov Model (SMM) to capture various microscopic mechanisms and their corresponding displacement variance. A detailed analysis, illustrated by breakthrough curves and spatial snapshots, under fixed values of displacement variance scaling law, is performed to investigate the distinctions among given mechanisms. Analysis results show that the anomalous transport behavior driven by preferential flow, sorption and velocity correlation may have fundamental distinction under the same displacement variance scaling law. On the other hand, both sub-diffusion and super-diffusion can arise from the interplay of competing mechanisms, such as preferential flow, sorption, and velocity correlation. At last, some suggestions are provided for selecting the appropriate transport model, based on the physical mechanism analysis of real-world situations.
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来源期刊
CiteScore
7.20
自引率
9.10%
发文量
852
审稿时长
6.6 months
期刊介绍: Physica A: Statistical Mechanics and its Applications Recognized by the European Physical Society Physica A publishes research in the field of statistical mechanics and its applications. Statistical mechanics sets out to explain the behaviour of macroscopic systems by studying the statistical properties of their microscopic constituents. Applications of the techniques of statistical mechanics are widespread, and include: applications to physical systems such as solids, liquids and gases; applications to chemical and biological systems (colloids, interfaces, complex fluids, polymers and biopolymers, cell physics); and other interdisciplinary applications to for instance biological, economical and sociological systems.
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