Technical Papers
Aug 8, 2011

Comparison of Methods to Estimate Saturated Hydraulic Conductivity in Texas Soils with Grass

Publication: Journal of Irrigation and Drainage Engineering
Volume 138, Issue 4

Abstract

One of the primary objectives for irrigation and drainage engineers, soil physicists, and hydrologists is to develop effective methods to estimate soil saturated hydraulic conductivity on the basis of readily available soil survey data. Although a few models have been derived from large ranges of soil texture data and successfully applied to many kinds of hydrologic analysis of agricultural lands and watershed for many years, there are few efforts to specifically investigate these models in soils with healthy grass growing. A field study was conducted to investigate and compare the performance of three readily applied models, including the Campbell model, Smettem and Bristow model, and Saxton et al. model, in Texas soils with established grass from September 2009 to May 2010. The results showed that two-parameter models, Campbell and Saxton et al. models, had better performance than the one-parameter model, Smettem and Bristow model. All three models need to be calibrated with local knowledge and data for improved accuracy if they are applied in Texas grassed soils, or even some new methods or models need to be developed with acceptable accuracy and the same simplicity level as these investigated models.

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Information & Authors

Information

Published In

Go to Journal of Irrigation and Drainage Engineering
Journal of Irrigation and Drainage Engineering
Volume 138Issue 4April 2012
Pages: 322 - 327

History

Received: Oct 19, 2010
Accepted: Aug 5, 2011
Published online: Aug 8, 2011
Published in print: Apr 1, 2012

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Authors

Affiliations

Runbin Duan, Ph.D. [email protected]
Postdoctoral Research Associate, Dept. of Civil and Environmental Engineering, Texas Tech Univ., Lubbock, TX 79409 (corresponding author). E-mail: [email protected]
Clifford B. Fedler, Ph.D. [email protected]
P.E.
Professor, Dept. of Civil and Environmental Engineering, Texas Tech Univ., Lubbock, TX 79409. E-mail: [email protected]
John Borrelli, Ph.D.
P.E.
Retired; formerly, Professor, Dept. of Civil and Environmental Engineering, Texas Tech Univ., Lubbock, TX 79409.

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