View in EDS

Application of a cellular automata model to the study of soil particle size distributions

Saved in:
Bibliographic Details
Title: Application of a cellular automata model to the study of soil particle size distributions
Authors: Prosperini, N.1, Perugini, D. diegop@unipg.it
Source: Physica A. Sep2007, Vol. 383 Issue 2, p595-602. 8p.
Subjects: Particles (Nuclear physics), Fractals, Particle size determination, Soil science
Abstract: Abstract: In this contribution, particle size distributions (PSD) of soil samples are analyzed by fractal methods. Different scaling domains, characterizing different ranges of particle sizes, are identified. Numerical models based on cellular automata are presented with the aim to understand the basic mechanisms responsible for the occurrence of multiple scaling domains in soil PSD. Numerical simulations are in good agreement with natural data and furnish a conceptual framework to explain the features observed in the PSD of studied soil samples. [Copyright &y& Elsevier]
Copyright of Physica A is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 25748764
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Application of a cellular automata model to the study of soil particle size distributions
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Prosperini%2C+N%2E%22">Prosperini, N.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Perugini%2C+D%2E%22">Perugini, D.</searchLink><i> diegop@unipg.it</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Physica+A%22">Physica A</searchLink>. Sep2007, Vol. 383 Issue 2, p595-602. 8p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Particles+%28Nuclear+physics%29%22">Particles (Nuclear physics)</searchLink><br /><searchLink fieldCode="DE" term="%22Fractals%22">Fractals</searchLink><br /><searchLink fieldCode="DE" term="%22Particle+size+determination%22">Particle size determination</searchLink><br /><searchLink fieldCode="DE" term="%22Soil+science%22">Soil science</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Abstract: In this contribution, particle size distributions (PSD) of soil samples are analyzed by fractal methods. Different scaling domains, characterizing different ranges of particle sizes, are identified. Numerical models based on cellular automata are presented with the aim to understand the basic mechanisms responsible for the occurrence of multiple scaling domains in soil PSD. Numerical simulations are in good agreement with natural data and furnish a conceptual framework to explain the features observed in the PSD of studied soil samples. [Copyright &y& Elsevier]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Physica A is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=25748764
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.physa.2007.04.043
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 8
        StartPage: 595
    Subjects:
      – SubjectFull: Particles (Nuclear physics)
        Type: general
      – SubjectFull: Fractals
        Type: general
      – SubjectFull: Particle size determination
        Type: general
      – SubjectFull: Soil science
        Type: general
    Titles:
      – TitleFull: Application of a cellular automata model to the study of soil particle size distributions
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Prosperini, N.
      – PersonEntity:
          Name:
            NameFull: Perugini, D.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 15
              M: 09
              Text: Sep2007
              Type: published
              Y: 2007
          Identifiers:
            – Type: issn-print
              Value: 03784371
          Numbering:
            – Type: volume
              Value: 383
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: Physica A
              Type: main
ResultId 1