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Sample Scale Liquid Retention and Liquid-Vapor Interfacial Area Dani Or & Markus Tuller Dept. of Plants, Soils and Biometeorology Utah State University,

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Presentation on theme: "Sample Scale Liquid Retention and Liquid-Vapor Interfacial Area Dani Or & Markus Tuller Dept. of Plants, Soils and Biometeorology Utah State University,"— Presentation transcript:

1 Sample Scale Liquid Retention and Liquid-Vapor Interfacial Area Dani Or & Markus Tuller Dept. of Plants, Soils and Biometeorology Utah State University, Logan, Utah

2 Outline for Section 2 How can we use simplified Y-L expressions in a unit cell to represent a population of pores (i.e., a soil sample)? Statistical representation of pore size distribution (normal, log- normal, and Gamma) Relationships between psd and soil water characteristic curve Measurable soil attributes that provide constraints for psd estimation A proposed estimation scheme Examples for various soils – capillary and film water content Liquid-vapor interfacial area – an important function for gas exchange processes (e.g., bioremediation)

3 Statistical representation of soil pore size distribution From Brutsaert (1966) to Assouline (2000) many have proposed to represent soil pore size distribution by various statistical PDF’s such as: normal, log-normal, Gamma, and Weibul PDF’s. For example, Kosugi (1994) proposed a log-normal expression: There are some subtle differences between f(r) and f(r 3 ) – psd of size usually pertains to pore radii and not volume distribution… Relationships between psd and SWC – water capacity (d  /d  ) with f(r) based on the capillary rise equation.

4 Statistical representation of soil pore size distribution Pore size (radii) distribution is calculated by taking the derivative of the SWC (d  /dh); and By employing the capillary rise equation (r=a/h) Matric Potential - h - [m] Water Content -  - [m 3 m -3 ]

5 Upscaling from Pore-to Sample-Scale WetDry L1L1 L2L2 L3L3 L4L4 L5L5 22 11 33 L6L6 f(L) Slits L1L1 L2L2 L3L3 L4L4 L5L5 L6L6 Gamma Distribution for L  A statistical approach using Gamma distributed cell size is employed to represent a sample of a porous medium.  Gamma distribution – facilitates analytical solutions and preserves the observed skewness in psd.  In developing “upscaled” equations for liquid retention, one must keep track of portions of pore population at various filling stages (due to differences in their pore size).

6 Limits of Integration for the Upscaling Scheme L max Full Cells Full Slits- Partially-Filled Pores Partially-Filled Slits & Pores L min L2=L2= L1=L1= Filling Stage Boundary Cell Size

7 The application of Limits of Integration in the Upscaling Scheme full cells corners pore full slits films pore films pore +slits

8 Measured Media Properties Provide Constraints for Geometry and PSD  Measured soil specific surface area and the “dry end” of the SWC curve provide constraints for  and  parameters.  The “bubbling pressure” defines the largest pore to be considered.  The smallest pore size is bounded by slit-spacing.

9 Measured and Modeled Water Retention Curve Millville Silt Loam films corners/ full pores

10 Measured and Modeled Water Retention Curve Salkum

11 Measured and Predicted Liquid-Vapor Interfacial Area Sand

12 An Overview of the Proposed Scheme


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