• Login
    View Item 
    •   Home
    • Research from April 2016
    • Environmental science
    • View Item
    •   Home
    • Research from April 2016
    • Environmental science
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of UOBREPCommunitiesTitleAuthorsIssue DateSubmit DateSubjectsPublisherJournalDepartmentThis CollectionTitleAuthorsIssue DateSubmit DateSubjectsPublisherJournalDepartment

    My Account

    LoginRegister

    About

    AboutLearning ResourcesResearch Graduate SchoolResearch InstitutesUniversity Website

    Statistics

    Display statistics

    An investigation into the impact of soil particle conductivity and percolation threshold on the Hilhorst model to estimate pore water conductivity in soils

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Authors
    Goodchild, Martin S.
    Issue Date
    2023-06-07
    Subjects
    models to calculate soil pore water conductivity
    Subject Categories::F870 Soil Science
    
    Metadata
    Show full item record
    Abstract
    The aim of this work has been to assess the Hilhorst model, used for estimating in-soil pore water conductivity, against soil properties of percolation threshold and soil particle conductivity. The Hilhorst model has the benefit of requiring a single soil-specific parameter which makes this model easy to apply from soil permittivity and bulk conductivity measurements. However, the Hilhorst model requires that the bulk conductivity measurement is dominated by pore water conductivity, which is not always the case in many ‘‘real-world’’ settings. This work examines a mathematical framework derived from combining the Hilhorst and Ewing and Hunt models which allows the Hilhorst soil parameter to be derived for a range of soil particle conductivities (0 to 10 mS m−1) and percolation thresholds (0 to 0.1 m3 m−3). The analysis in this work indicates that the Hilhorst parameter is highly sensitive to both soil properties with respect to the default value of 4.1 that is often employed. This assessment indicates that: (
    Citation
    Goodchild MS (2023) 'An investigation into the impact of soil particle conductivity and percolation threshold on the Hilhorst model to estimate pore water conductivity in soils', Soil Science Society of America Journal, 87 (5), pp.1221-1228.
    Publisher
    Wiley
    Journal
    Soil Science Society of America Journal
    URI
    http://hdl.handle.net/10547/626398
    DOI
    10.1002/saj2.20561
    Additional Links
    https://acsess.onlinelibrary.wiley.com/doi/10.1002/saj2.20561
    Type
    Article
    Language
    en
    ISSN
    0361-5995
    ae974a485f413a2113503eed53cd6c53
    10.1002/saj2.20561
    Scopus Count
    Collections
    Environmental science

    entitlement

     
    DSpace software (copyright © 2002 - 2025)  DuraSpace
    Quick Guide | Contact Us
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.