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Published in Soil Sci Soc Am J 63:270-277 (1999)
© 1999 Soil Science Society of America
677 S. Segoe Rd., Madison, WI 53711 USA
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General Model for Unsaturated Hydraulic Conductivity for Soils with Lognormal Pore-Size Distribution

K. Kosugi*

Dep. of Forest Science, Graduate School of Agriculture, Kyoto Univ., Kyoto 606-8502, Japan

*Corresponding author (kos{at}kais.kyoto-u.ac.jp).

ABSTRACT

Describing water flow in unsaturated soils requires knowledge of the unsaturated hydraulic conductivity. This study was conducted to develop a general conductivity model for soils with lognormal pore-size distribution based on the Mualem-Dagan pore-scale model. The derived model has three parameters other than parameters for a retention model: the parameters {alpha} and ß, both of which are related to the soil pore tortuosity, and the parameter {gamma} to describe how to evaluate the effective pore radius. The proposed model was applied to observed retention and conductivity data sets for 200 soils. Results showed that both {alpha} and ß should be treated as fitted parameters for accurate descriptions of conductivity, whereas estimation results were insensitive to {gamma} as long as {alpha} and ß were optimized. Consequently, a simplified form of the general conductivity model was suggested which uses the constant {gamma} value of unity. Based on the simplified general conductivity model, two predictive methods (AB and FN) were developed. The method AB uses the constant {alpha} and ß values to minimize the average prediction error. The method FN uses an empirically derived relationship between ß and the dimensionless parameter of the retention model, and the constant {alpha} value to minimize the average prediction error. Both methods reduced the average prediction error more than 77% compared with the Burdine and Mualem predictive models. The method FN provided slightly better predictions than the method AB, reducing the average prediction error by 28%.

Received for publication March 9, 1998.


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