SSSAJ Journal of Natural Resources and Life Sciences Education
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


Published in Soil Sci Soc Am J 50:1319-1323 (1986)
© 1986 Soil Science Society of America
677 S. Segoe Rd., Madison, WI 53711 USA
This Article
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Bach, L. B.
Right arrow Articles by Ward, T. J.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Bach, L. B.
Right arrow Articles by Ward, T. J.
Agricola
Right arrow Articles by Bach, L. B.
Right arrow Articles by Ward, T. J.

Estimation of the Philip Infiltration Parameters from Rainfall Simulation Data1

L. B. Bach, P. J. Wierenga and T. J. Ward2

ABSTRACT

A new, simple technique for estimating the parameters of the two-term Philip infiltration equation was developed and tested using field-measured data obtained in the northern Chihuahuan desert of New Mexico. The technique simultaneously provided information on the relationship between the Philip equation parameter A, and the field-measured hydraulic conductivity. The equation was reformulated as IcKf = 1/2St–1/2, where I is the infiltration rate, S the sorptivity, t the time, Kf the field-measured final infiltration rate, and c, a coefficient relating Kf to the Philip parameter A. The final, steady infiltration rate measured in the field was used for the value of Kf. Regressions of (IcKf) vs. (1/2t–1/2) for values of c between 0 to 1 resulted in optimum c values for each treatment along with their corresponding S values. For the soils in this area, values for the coefficient c were sometimes outside the suggested range of 0.33 to 0.67, and were different for each study site. The regression analysis also showed that the value of S can be highly sensitive to changes in c. Using the values of S and c determined by the proposed method, a comparison was made between computed infiltration rates and measured infiltration rates. The results of this study showed that the prediction method provided adequate fits to field-measured data, and that the choice of an appropriate c factor is important in determining infiltration parameters from field data.


NOTES

1 Journal Article 1171, Agricultural Experiment Station, New Mexico State Univ., Las Cruces, NM 88003. Funded in part through NSF grant no. BSR-8114466-02.

2 Graduate Student and Professor, respectively, Dep. of Crop and Soil Sciences; Associate Professor, Dep. of Civil Engineering, New Mexico State Univ., Las Cruces, NM 88003. The senior author is presently with the USDA-ARS, Fort Collins, CO 80522.

Received for publication June 25, 1985.





HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
The SCI Journals Agronomy Journal Crop Science
Journal of Natural Resources
and Life Sciences Education
Vadose Zone Journal
Journal of Plant Registrations Journal of
Environmental Quality
The Plant Genome
Copyright © 1986 by the Soil Science Society of America.