Full TGIF Record # 75904
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Web URL(s):http://elibrary.asabe.org/azdez.asp?JID=3&AID=4683&CID=t2001&v=44&i=2&T=2&redirType=
    Last checked: 10/13/2015
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Author(s):Suleiman, A. A.; Ritchie, J. T.
Author Affiliation:Suleiman: Reserch Associate, Department of Civil and Environmental Engineering, Bucknell University, Lewisburg, Pennsylvania; Ritchie: Professor, Department of Crop and Soil Sciences, Michigan State University, East Lansing, Michigan
Title:Estimating saturated hydraulic conductivity from soil porosity
Section:Soil & water
Other records with the "Soil & water" Section
Source:Transactions of the American Society of Agricultural Engineers. Vol. 44, No. 2, March/April 2001, p. 235-239.
# of Pages:5
Publishing Information:St. Joseph, MI
Keywords:TIC Keywords: Infiltration; Drainage; Soil water relations; Models; Physical properties of soil; Hydraulic conductivity; Porosity
Abstract/Contents:"Measuring the tempospatial variability of saturated hydraulic conductivity (Ks) is time consuming, expensive, and encounters many uncertainties. This work aimed to develop a new model (REPM, Relative Effective Porosity Model) that estimates Ks from relative effective porosity (Φer) and then compare it with a model (EPM, Effective Porosity Model) that estimates it from effective porosity (Φe). The effective porosity (Φe) is defined as the total porosity minus field capacity (FC), and the relative effective porosity (Φer) is defined as effective porosity (Φe) divided by FC. Both Φer and Φe can be estimated from FC and bulk density (Bd). Data from 11 homogeneous textural-class mean soils and several international and American soils were used to evaluate REPM and EPM. For the 11 textural-class mean soils, log (Ks) was highly correlated to log (Φer) as well as to log (Φe). For the international soils, log (Ks) was highly correlated to log (Φer) (r2=0.77), but the correlation was less pronounced between log (Ks) and log (Φe) (r2=0.58). The saturated hydraulic conductivity of soils from an international database was more accurately predicted by REPM (RMSE of 539 cm d-1) than by EPM (RMSE of 733 cm d-1), while both of them performed as well for American soils. The slope and the intercept of REPM and the slope of EPM were independent of soil. These results suggest that our new model gives reasonable estimates of Ks for different soils.
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Suleiman, A. A., and J. T. Ritchie. 2001. Estimating saturated hydraulic conductivity from soil porosity. Trans. Proc. Am. Soc. Agric. Eng. 44(2):p. 235-239.
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    Last checked: 10/13/2015
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MSU catalog number: S 671 .A452
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