A non-Markovian model of rill erosion

  • Received: 01 February 2009 Revised: 01 July 2009
  • Primary: 60K35, 82D99; Secondary: 60G09.

  • We introduce a new model for rill erosion. We start with a network similar to that in the Discrete Web [7, 11] and instantiate a dynamics which makes the process highly non-Markovian. The behavior of nodes in the streams is similar to the behavior of Polya urns with time-dependent input. In this paper we use a combination of rigorous arguments and simulation results to show that the model exhibits many properties of rill erosion; in particular, nodes which are deeper in the network tend to switch less quickly.

    Citation: Michael Damron, C. L. Winter. A non-Markovian model of rill erosion[J]. Networks and Heterogeneous Media, 2009, 4(4): 731-753. doi: 10.3934/nhm.2009.4.731

    Related Papers:

    [1] Michael Damron, C. L. Winter . A non-Markovian model of rill erosion. Networks and Heterogeneous Media, 2009, 4(4): 731-753. doi: 10.3934/nhm.2009.4.731
    [2] Leda Bucciantini, Angiolo Farina, Antonio Fasano . Flows in porous media with erosion of the solid matrix. Networks and Heterogeneous Media, 2010, 5(1): 63-95. doi: 10.3934/nhm.2010.5.63
    [3] Alexandre Kawano, Antonino Morassi, Ramón Zaera . Recent results on prey detection in a spider orb web. Networks and Heterogeneous Media, 2025, 20(1): 286-323. doi: 10.3934/nhm.2025014
    [4] T. S. Evans, A. D. K. Plato . Network rewiring models. Networks and Heterogeneous Media, 2008, 3(2): 221-238. doi: 10.3934/nhm.2008.3.221
    [5] D. Alderson, H. Chang, M. Roughan, S. Uhlig, W. Willinger . The many facets of internet topology and traffic. Networks and Heterogeneous Media, 2006, 1(4): 569-600. doi: 10.3934/nhm.2006.1.569
    [6] Rossella Della Marca, Nadia Loy, Andrea Tosin . An SIR–like kinetic model tracking individuals' viral load. Networks and Heterogeneous Media, 2022, 17(3): 467-494. doi: 10.3934/nhm.2022017
    [7] Gabriella Bretti, Ciro D’Apice, Rosanna Manzo, Benedetto Piccoli . A continuum-discrete model for supply chains dynamics. Networks and Heterogeneous Media, 2007, 2(4): 661-694. doi: 10.3934/nhm.2007.2.661
    [8] Wenlian Lu, Fatihcan M. Atay, Jürgen Jost . Consensus and synchronization in discrete-time networks of multi-agents with stochastically switching topologies and time delays. Networks and Heterogeneous Media, 2011, 6(2): 329-349. doi: 10.3934/nhm.2011.6.329
    [9] Simone Göttlich, Stephan Martin, Thorsten Sickenberger . Time-continuous production networks with random breakdowns. Networks and Heterogeneous Media, 2011, 6(4): 695-714. doi: 10.3934/nhm.2011.6.695
    [10] Pau Erola, Albert Díaz-Guilera, Sergio Gómez, Alex Arenas . Modeling international crisis synchronization in the world trade web. Networks and Heterogeneous Media, 2012, 7(3): 385-397. doi: 10.3934/nhm.2012.7.385
  • We introduce a new model for rill erosion. We start with a network similar to that in the Discrete Web [7, 11] and instantiate a dynamics which makes the process highly non-Markovian. The behavior of nodes in the streams is similar to the behavior of Polya urns with time-dependent input. In this paper we use a combination of rigorous arguments and simulation results to show that the model exhibits many properties of rill erosion; in particular, nodes which are deeper in the network tend to switch less quickly.


  • This article has been cited by:

    1. Dan Jenkins, Superdiffusive and subdiffusive exceptional times in the dynamical discrete web, 2015, 125, 03044149, 3373, 10.1016/j.spa.2015.05.003
  • Reader Comments
  • © 2009 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(3229) PDF downloads(142) Cited by(1)

Article outline

Other Articles By Authors

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog