Predictability of anomalous transport on lattice networks with quenched disorder

Peter K. Kang, Marco Dentz, Ruben Juanes

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

We study stochastic transport through a lattice network with quenched disorder and evaluate the limits of predictability of the transport behavior across realizations of spatial heterogeneity. Within a Lagrangian framework, we perform coarse graining, noise averaging, and ensemble averaging, to obtain an effective transport model for the average particle density and its fluctuations between realizations. We show that the average particle density is described exactly by a continuous time random walk (CTRW), and the particle density variance is quantified by a novel two-particle CTRW.

Original languageEnglish (US)
Article number030101
JournalPhysical Review E - Statistical, Nonlinear, and Soft Matter Physics
Volume83
Issue number3
DOIs
StatePublished - Mar 4 2011

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