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Published online 13 May 2005
Published in Vadose Zone J 4:389-397 (2005)
DOI: 10.2136/vzj2004.0116
© 2005 Soil Science Society of America
677 S. Segoe Rd., Madison, WI 53711 USA
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Right arrow Air Permeability
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A Genetic Algorithm for Predicting Pore Geometry Based on Air Permeability Measurements

E. Unsala, J. H. Danea,* and G. V. Dozierb

a Dep. of Agronomy and Soils, 202 Funchess Hall, Auburn Univ., Auburn, AL 36849
b Dep. of Computer Science and Software Eng., 107 Dunstan Hall, Auburn Univ., Auburn, AL 36849


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  		Fig. 1. Measured air permeability (µm2) as a function of volumetric water content during the initial drainage cycle.

 


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  		Fig. 2. Measured matric head plotted as a function of volumetric water content of the sandstone core sample during the initial drainage cycle.

 


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  		Fig. 3. Structure of capillaries (pore section sequences).

 


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  		Fig. 4. Structure of an individual.

 


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  		Fig. 5. Structure of the genetic algorithm.

 


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  		Fig. 6. Comparison of the experimental water retention curve and the predicted water retention curve based on the Brooks-Corey model.

 


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  		Fig. 7. Model results for effective air permeability (µm2, logarithmic) during initial water drainage.

 


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  		Fig. 8. Comparison of experimental water retention curve and the and water retention curves predicted according to Models I and II.

 




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