Document Type : Research Paper

Abstract

Soil infiltration characteristics affect the design, evaluation and management of furrow irrigation over a
field. On the other hand, different variables influence furrow infiltration, making infiltration modeling for a
field a complex process. This study was conducted to investigate the direct and indirect effects of all
variables affecting furrow infiltration. The blocked furrow method was used to measure furrow infiltration
for a field with soil of sandy loam. Results showed that infiltration time was the most effective variable
affecting cumulative infiltration by directly and significantly affecting furrow infiltration. The relative
contribution of the filtration time to the furrow infiltration was seven times more than the contribution of
the wetted perimeter and 2.5 times that of the flow section area. An additive and nonlinear model was
proposed to describe field-wide cumulative infiltration using the observed data. The proposed model
described approximately 89% of the variation in field-wide cumulative infiltration.

Keywords

Bautista, E. and Wallender, W. W. 1993. Numerical calculation of infiltration in furrow irrigation simulation Models. J. Irrig. Drain. Eng. 119(2): 286-294.
Childs, J. I., Wallender, W. W. and Hopmans, J. W. 1993. Spatial and seasonal variation of furrow irrigation. J. Irrig. Drain. Eng.119(1): 74-90.
Clemmens, A. J., Eisenhaure, D. E. and Maheswari, B. I. 2001. Infiltration and roughness equations for irrigation: How form influences estimation. ASAE Annual International Meeting.
Dillon, W. R. and Goldstein, M. 1984. Multivariate Analysis: Methods and Applications. John Wiley & Sons, Inc.           
Elliott, R. I. and Walker, W. R. 1982. Field evaluation of furrow infiltration and advance functions. Trans. ASAE. 25(2): 396-400.
Enciso-Median, J. Martin, D. and Eisenhauer, D., 1998. Infiltration model for furrow irrigation. J. Irrig. Drain Eng. 124(2): 73-80.
Fangmeier, D. D. and Ramsey. M. K. 1978. Intake characteristics of irrigation furrows. Trans. ASAE. 21(4): 696-700.
Fonteh, M. F. and Podmore, T. 1993. A physically based infiltration models for furrow irrigation. Agric. Water Manage. 23, 271-284.
Gardner, W. H. 1976. Water Content. In Methods of Soil Analysis. In: Black, C. A., Evans, D. D., Ensminger, L. E., White, J. L., Clark, F. E. and Dinauer, R. C. (Eds.). Physical and Mineralogical Properties. 4th Ed. Madison, WI: Agronomy Society.
Izadi, B. and Wallender, W. W. 1985. Furrow hydraulic characteristics and infiltration. Trans. ASAE. 28(6): 1901-1908.
Jobling, G. A. and Turner, A. K. 1973. Physical model study of border irrigation. ASCE J. Irrig. Drain Eng. 99, 493-510.
Kohler, H. 2002. Statistics for Business and Economics. Thomson Learning, Inc.
Moghaddam, M. 1999. Advanced Engineering Statistics. Faculty of Agriculture. Universirty of Tabriz. Tabriz. Iran. (in Farsi)
Nasseri, A., Neyshabori, M. R., Fakherifard, A., Mogaddam, M. and Nazemi, A. H. 2004. Field-measured furrow infiltration functions. Turkish J. Agric. Forestry. 28(2): 93-101.
Oyonarte, N. A., Mateos, L. and Palomo, M. J. 2002. Infiltration variability in furrow irrigation. J. Irrig. Drain. Eng. 128(1): 26-33.
Tarboton, K. C. and Wallender, W. W. 1989. Field-wide furrow infiltration variability. Trans. ASAE. 32(3): 913-918.
Trout, T. J. 1992. Flow velocity and wetted perimeter effects on furrow infiltration. Trans. ASAE. 35(3): 855-862.
Walker, W. R. 1989. Guidelines for desiging and evaluating surface irrigation systems. Irrigation and Drainage paper No. 45. FAO. Rome. Italy.
Walker, W. R. and Skogerboe, G. V. 1987. Surface Irrigation: Theory and Practice. Prentice-Hall, Inc. New Jersey.