Analysis of Hydraulic Conductivity Calculations

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Equations by Marshall and by Millington and Quirk for calculating hydraulic conductivity from pore-size distribution data are dependent on an arbitrary choice of the exponent on the porosity term and a correct estimate of residual water. This study showed that a revised equation, based on the pore-interaction model of Marshall, accurately predicts hydraulic conductivity for glass beads and a loam soil from the pressure-water content relationships of these porous materials.

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Green, R.E. January 6, 2003.

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Description

Equations by Marshall and by Millington and Quirk for calculating hydraulic conductivity from pore-size distribution data are dependent on an arbitrary choice of the exponent on the porosity term and a correct estimate of residual water. This study showed that a revised equation, based on the pore-interaction model of Marshall, accurately predicts hydraulic conductivity for glass beads and a loam soil from the pressure-water content relationships of these porous materials.

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vp.

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  • Soil Science Society of America, Conference location not supplied, Conferences dates not supplied

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  • Report No.: DP-MS-69-35
  • Grant Number: AT(07-2)-1
  • Office of Scientific & Technical Information Report Number: 806830
  • Archival Resource Key: ark:/67531/metadc735591

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

Office of Scientific and Technical Information (OSTI) is the Department of Energy (DOE) office that collects, preserves, and disseminates DOE-sponsored research and development (R&D) results that are the outcomes of R&D projects or other funded activities at DOE labs and facilities nationwide and grantees at universities and other institutions.

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  • January 6, 2003

Added to The UNT Digital Library

  • Oct. 18, 2015, 6:40 p.m.

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  • May 4, 2016, 9:22 p.m.

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Green, R.E. Analysis of Hydraulic Conductivity Calculations, article, January 6, 2003; South Carolina. (digital.library.unt.edu/ark:/67531/metadc735591/: accessed October 18, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.