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Published online 26 May 2006
Published in Vadose Zone J 5:706-719 (2006)
DOI: 10.2136/vzj2005.0088
© 2006 Soil Science Society of America
677 S. Segoe Rd., Madison, WI 53711 USA
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Right arrow Vadose Zone Processes and Chemical Transport
Right arrow Water Retention/Capillary Pressure

Resolving Structural Influences on Water-Retention Properties of Alluvial Deposits

Kari A. Winfielda, John R. Nimmoa,*, John A. Izbickib and Peter M. Martinb

a U.S. Geological Survey, 345 Middlefield Road, MS 421, Menlo Park, CA 94025
b U.S. Geological Survey, 5735 Kearny Villa Road, San Diego, CA 92123


Figure 1
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Fig. 1. Theoretical structural effects on water retention for a fluvial sample and a debris flow sample, both of which are well stratified. A fluvial sample is expected to have a broader pore-size distribution than a debris flow sample of comparable particle-size distribution because of its greater abundance of both small and large pores.

 

Figure 2
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Fig. 2. Sheep Creek Wash and Oro Grande Wash and their associated fan deposits in the western Mojave Desert, San Bernardino County, California (adapted from U.S. Geological Survey, 1:250,000 San Bernardino quadrangle and modified from Weldon, 1985). Core samples were collected from the lower reaches of each wash. Boreholes L and L-1 were drilled directly in the channels, while L-2 and F were drilled into the adjacent fan surfaces.

 

Figure 3
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Fig. 3. Sample classification scheme, based on geometric particle-size standard deviation and stratification, used to distinguish between fluvial and debris flow sediments.

 

Figure 4
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Fig. 4. Laboratory controlled-liquid volume apparatus for measuring wet- to mid-range water retention values on large, undisturbed core samples (Winfield and Nimmo, 2002).

 

Figure 5
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Fig. 5. Cumulative particle-size distributions for core samples collected from (a) Oro Grande Wash and (b) Sheep Creek Wash.

 

Figure 6
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Fig. 6. Water desorption measurements and curves fitted using the Rossi–Nimmo (1994) junction model for core samples from (a) Oro Grande Wash and (b) Sheep Creek Wash.

 

Figure 7
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Fig. 7. Textural variables compared with maximum water content ({theta}max) and Rossi–Nimmo (1994) fit parameters (scaling parameter for water potential, {psi}o; curve-shape parameter, {lambda}). Scatter plots show comparisons with (a, c, e) geometric mean particle diameter (Mg) and (b, d, f) geometric standard deviation ({sigma}g), for n = 10 samples. Symbols indicate sample categories of Fig. 3, with results for individual samples listed in Table 3. Solid symbols represent fluvial samples and open symbols represent debris flow samples.

 

Figure 8
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Fig. 8. Structural variables compared with maximum water content ({theta}max) and Rossi–Nimmo (1994) fit parameters ({psi}o and {lambda}). Scatter plots show comparisons with (a, d, g) bulk density ({rho}b); (b, e, h) trapped air fraction of porosity (Ae); and (c, f, i) porosity-based randomness index ({Phi}s), for n = 10 samples. Symbols indicate sample categories of Fig. 3, with results for individual samples listed in Table 3. Solid symbols represent fluvial samples and open symbols represent debris flow samples.

 





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