Multiscaling of soils as heterogeneous complex networks

Santiago Andrés, Antonio; Cardenas Villalobos, Juan Pablo; Losada González, Juan Carlos; Benito Zafrilla, Rosa Maria; Tarquis Alfonso, Ana Maria y Borondo Rodríguez, Florentino (2008). Multiscaling of soils as heterogeneous complex networks. "Nonlinear Processes In Geophysics", v. 15 (n. 6); pp. 893-902. ISSN 1023-5809.

Descripción

Título: Multiscaling of soils as heterogeneous complex networks
Autor/es:
  • Santiago Andrés, Antonio
  • Cardenas Villalobos, Juan Pablo
  • Losada González, Juan Carlos
  • Benito Zafrilla, Rosa Maria
  • Tarquis Alfonso, Ana Maria
  • Borondo Rodríguez, Florentino
Tipo de Documento: Artículo
Título de Revista/Publicación: Nonlinear Processes In Geophysics
Fecha: Noviembre 2008
Volumen: 15
Materias:
Escuela: E.T.S.I. Agrónomos (UPM) [antigua denominación]
Departamento: Física y Mecánica Fundamental, Aplicada a la Ingeniería Agroforestal [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

Texto completo

[img]
Vista Previa
PDF (Document Portable Format) - Se necesita un visor de ficheros PDF, como GSview, Xpdf o Adobe Acrobat Reader
Descargar (1MB) | Vista Previa

Resumen

In this paper we present a complex network model based on a heterogeneous preferential attachment scheme to quantify the structure of porous soils. Under this perspective pores are represented by nodes and the space for the flow of fluids between them is represented by links. Pore properties such as position and size are described by fixed states in a metric space, while an affinity function is introduced to bias the attachment probabilities of links according to these properties. We perform an analytical study of the degree distributions in the soil model and show that under reasonable conditions all the model variants yield a multiscaling behavior in the connectivity degrees, leaving a empirically testable signature of heterogeneity in the topology of pore networks. We also show that the power-law scaling in the degree distribution is a robust trait of the soil model and analyze the influence of the parameters on the scaling exponents. We perform a numerical analysis of the soil model for a combination of parameters corresponding to empirical samples with different properties, and show that the simulation results exhibit a good agreement with the analytical predictions.

Más información

ID de Registro: 2514
Identificador DC: http://oa.upm.es/2514/
Identificador OAI: oai:oa.upm.es:2514
URL Oficial: http://www.nonlin-processes-geophys.net/volumes_and_issues.html
Depositado por: Memoria Investigacion
Depositado el: 09 Mar 2010 08:29
Ultima Modificación: 20 Abr 2016 12:11
  • Open Access
  • Open Access
  • Sherpa-Romeo
    Compruebe si la revista anglosajona en la que ha publicado un artículo permite también su publicación en abierto.
  • Dulcinea
    Compruebe si la revista española en la que ha publicado un artículo permite también su publicación en abierto.
  • Recolecta
  • e-ciencia
  • Observatorio I+D+i UPM
  • OpenCourseWare UPM