Simulation of soil water profile in surface and subsurface drip irrigation systems by HYDRUS-2D

Document Type : Complete scientific research article

Authors

Academic staff

Abstract

Drip irrigation system is one of the most effective strategies to increase productivity and optimal use of available water resources. In the subsurface irrigation distribution water in the soil and decreasing evaporation and water use. Realizing the full potential of drip irrigation technology requires optimizing the available parameters, such as the frequency, rate, and duration of water application. Numerical simulation is a fast and inexpensive approach to studying optimal management practices. Unfortunately, little work has been done to investigate the accuracy of numerical simulations. In this context, numerical models, fast and cheap, to study the operation of irrigation systems and optimizing their management parameters are considered. In the design of subsurface drip irrigation systems, the dimensions of the wetted onion determine the installation depth and set of system. Several models have been developed to simulation soil moisture patterns and the wetting front using hydraulic parameters, discharge and application time.The purpose of this study was to measure soil moisture profiles of surface and subsurface drip irrigation and compare with simulation results using HYDRUS-2D software. In this study, an experiment to study soil moisture profiles, surface and subsurface drip irrigation treatments was performed in the field of Urmia University. T-Tape pipes with discharge of 4 liters per hour at intervals of one meter was installed and the surface and subsurface measurements were performed. Tubes in subsurface drip irrigation was installed at 0.2 meter deep. Water content was measured by WET sensor in both irrigation systems. Water content measurement in two-dimensional depth and radius were recorded every 10 minutes. HYDRUS-2D software simulation in this study was compared with the measured results. The results of the simulation of soil moisture profiles using HYDRUS-2D software was in good agreement with the observed data (RMSE 0.01 till 0.14). Based on results, differences between the measured and simulated data (R2) in surface and subsurface trickle irrigation for 24 hours operation were respectively 0.811 and 0.906. By using three estimation ROSETTA model, hydraulic parameters was evaluated. Based on the obtained error values observed error rate in the two models, Full ROSETTA and ROSETTA Lite negligible and only in some depths Full ROSETTA model error is less than ROSETTA Lite model. In general can be said on the basis of data Full ROSETTA good agreement with the results of the measurement. The results support the use of HYDRUS-2D as a tool for investigation and designing drip irrigation management practices.

Keywords

References

1.Alikhan, A., Yitayev, M., and Warrick, W. 1996. Field evaluation of water and solute distribution from a point source. J. Irrig. Drain. Engin. 122: 4. 221-227.
2.Assouline, S. 2002. The effects of microdrip and conventional drip irrigation on water distribution and uptake. Soil Sci. Soc. Am. J. 66: 1630-1636.
3.Bhatnagar, P.R., and Srivastava, R.C. 2003. Gravity-fed drip irrigation system for hilly terraces of the northwest Himalayas. Irrig. Sci. 21: 151-157.
4.Bresler, E. 1978. Analysis of trickle irrigation with application to design problems. Irrig. Sci.
1: 3-17.
5.Camp, C.R. 1998. Subsurface drip irrigation: a review. Trans ASAE. 41: 5. 1353-1367.
6.Cote, C.M., Bristow, K.L., Charlesworth, P.B., Cook, F.J., and Thorburn, P.J. 2003. Analysis of soil wetting and solute transport in subsurface trickle irrigation. Irrig. Sci. 22: 143-156.
7.Cook, F.J., Thorburn, P.J., Bristow, K.L., and Cote, C.M. 2003. Infiltration from surface
and buried point sources: the average wetting water content. Water Resources Research.
39: 12. 1364-1377.
8.Cook, F.J., Fitch, P., Thorburn, P.J., Charles worth, P.B., and Bristow, K.L. 2006. Modeling Trickle irrigation: Comparison of analytical and numerical models for estimation of wetting front position with time. Environmental Modeling & Software. 21: 1353-1359.
9.El-nesr M., Alazba A., and Simunek J., 2014. HYDRUS simulations of the effects of
dual-drip subsurface irrigation and a physical barrier on water movement and solute transport in soils. Irrig. Sci. 32: 2. 111-125.
10.Gardenas, A., Hopmans, J.W., Hanson, B.R., and Simunek, J. 2005. Two-dimensional modeling of nitrate leaching for various fertigation scenarios under microirrigation. Agric. Water Manage. 74: 219-242.
11.Ghani A., Raine S., Mc Hugh A., and Hamilton G., 2015. Managing lateral infiltration on wide beds in clay and sandy clay loam using Hydrus 2D. Irrig. Sci. 33: 3. 177-190.
12.Kandelous, M.M., and Simunek, J. 2010. Comparison of numerical analytical and empirical models to estimate wetting patterns for surface and subsurface drip irrigation. Irrig. Sci.
doi: 10.1007/ s00271-009-0205-9.
13.Khalili, M., Akbari, M., Hezarjaribi, A., Zakerinia, M., and Abbasi, F., 2014. Numerical Versus Empirical Models for Estimating Wetting Patterns in Subsurface Drip Irrigation Systems. J. Agric. Engin. Res. 15: 2. 1-14. (In Persian) 
14.Khanmohamadi, N., Rezaee, H., Besharat, S., and Behmanesh, J. 2012. Evaluation of Soil Water Profile Simulations in Drip Irrigation Based on Soil Hydraulic Properties with Experimental Observations, Iran. J. Irrig. Drain. 3: 6. 187-195. (In Persian) 
15.Mmolawa, K., and Or, D. 2003. Experimental and numerical evaluation of an analytical volume balance model for soil water dynamics under drip irrigation. Soil Sci. Soc. Am. J. 67: 1657-1671.
16.Rahimzadegan, R. 1977. Water movement in field soil from a point source. M.Sc. Thesis, Utah State Univ., Logan, Utah, USA.3.
17.Revol, P., Vauclin, M., Vachaud, G., and Clothier, B.E. 1997. Infiltration from a surface point source and drip irrigation 1. The midpoint soil water pressure. Water Resources Research. 33: 1861-1867. 
18.Skaggs, T.H., Trout, T.J., Simunek, J., and Shouse, P.J. 2004. Comparison of HYDRUS-2D simulations of drip irrigation with experimental observations. Irrig. Drain. ASCE.
130: 4. 304-318.
19.Singh, D.K., Rajput, T.B.S., Singh, D.K., Sikarwar, H.S., Sahoo, R.N., and Ahmad, T.
2006. Simulation of soil wetting pattern with subsurface drip irrigation from line source. Agric. Water Manage. 83: 130-134.
20.Singh, S.D., and Singh, P. 1978. Value of drip irrigation compared with conventional irrigation for vegetable production in a hot arid Climate. Agron. J. 70: 945-947. 
21.Siyal, A.A., and Skaggs, T.H. 2009. Measured and simulated soil wetting patterns under porous clay pipe sub-surface irrigation. Agric. Water Manage. 96: 893-904.
22.Simunek, J., Sejna, M., and Van Genuchten, M.Th. 2006. The HYDRUS software package for simulating two- and three-dimensional movement of water, heat, and multiple solutes in variably-saturated media. Technical Manual, Version 1.0. PC Progress, Prague, Czech Republic.
23.Wang, F.X., Kang, Y., and Liu, S.P. 2006. Effects of drip irrigation frequency on soil wetting pattern and potato growth in North China Plain. Agric. Water Manage. 79: 248-264.
24.Zur, B. 1996. Wetted soil volume as a design objective in trickle irrigation. Irrig. Sci.
16: 101-106.
Journal of Water and Soil Conservation
Volume 23, Issue 2
June 2016
Pages 225-238

Files

Share

How to cite

Statistics