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Use of Brooks-Corey Parameters to Improve Estimates of Saturated Conductivity from Effective Porosity

^a USDA-ARS Systems Research Lab, Bldg. 007, Rm 116, 10300 Baltimore Ave, Beltsville, MD 20705 USA
^b USDA-ARS Great Plains Systems Research Unit, P.O. Box E, Ft. Collins, CO 80522 USA
^c Dept of Botany, Duke University, Durham, NC 27708 USA
^d USDA-ARS Grazing Lands Research Laboratory, P.O. Box 1199, El Reno, OK 73036-1199 USA
^e Dept. of Environmental Sciences, Rutgers, The State University of NJ, 14 College Farm Rd., New Brunswick, NJ 08901 USA
^f USDA-ARS Hydrology Laboratory, Bldg 007, Rm 112, 10300 Baltimore Ave., Beltsville, MD 20705 USA

View larger version (20K): [in a new window]   Fig. 1 Pore-size distribution index vs. Ks for the Southern Region (SR) and Rawls (RA) data sets. Values are means for textural classes

View larger version (19K): [in a new window]   Fig. 2 Predicted and measured Ks for the Southern Region data set determined using (a) effective porosity (e) only as a predictor and (b) effective porosity (e) and the pore size distribution index ()

View larger version (21K): [in a new window]   Fig. 3 The intercept of the Kozeny-Carman equation (B) as a function of (a) , and (b) hb. The value of B is calculated as Ks (e2.5). The data are means for textural classes

View larger version (18K): [in a new window]   Fig. 4 Relationship between the intercept B and R/l for Southern Region (SR) and Rawls (RA) data sets. The value of B is calculated as Ks (2.5e). The data are means for textural classes

View larger version (22K): [in a new window]   Fig. 5 Calculated and measured values of Ks, where the intercept (B) for Eq. [1] has been calculated using values of and hb, and the relationship between B and R/l for the Rawls data set given in Fig. 4

View larger version (23K): [in a new window]   Fig. 6 Relationship between measured Ks and values predicted using Eq. [2] when fit to the Southern Region (SR) data set

View larger version (25K): [in a new window]   Fig. 7 Probability plot of measured Ks and values estimated by the four models. Ks values are from the full Southern Region (SR) data set