Evaluation of moisture advance front pattern in subsurface drip irrigation with continuous and pulsed flow

Document Type : Research Paper

Authors

Dept. of Water Science and Engineering,Faculty of Agriculture University of Kurdistan. Sanandaj. Iran.

Abstract

Subsurface drip irrigation (SDI) is widely used in arid and semi-arid regions due to water saving. In order to investigate the moisture distribution pattern in SDI, the laboratory experiments were carried out in a transparent plexy-glass tank (0.5m *1.22m * 3m) using three different soil textures (i.e. medium, heavy and fine). The drippers were installed at 2 different soil depths (15cm and 30 cm). The emitter outflows were considered as 2, 4 and 4 lit/hr. Also, these experiments were carried out for two continuous and pulse irrigation systems. In pulse irrigation, the pulse cycles were considered 30-30, 20-40 and 40-20 min. The first number was the irrigation time (on) and the second number was the rest time (off) of the system in each cycle. The results of this research showed that moisture advance front with increasing the rest time move more horizontally for SDI with pulsed flow. Also, horizontal distribution of wetted front (for the same water volume of at the end of irrigation) for low emitter discharges was more than emitter with high outflow rate. As well as, the maximum depth of wetted front was related to emitters with higher discharge rate in the light texture, and in heavy texture is related to lesser outflow rate. The results showed that the horizontal distribution for pulse irrigation (20-40) was more than two other pulses (40-20 and 30-30) and continuous application.

Keywords


  1. 1.       Bagheri, R., Hesam, M., Kiani, A.R. and Hezarjaribi, A., 2015. Emitters subsurface distribution of soil moisture the soil in different tissues. Iranian Journal of Irrigation & Drainage, 9(3), pp.399-406. (In Persian)

    2.       Ben‐Asher, J., Charach, C.H. and Zemel, A., 1986. Infiltration and water extraction from trickle irrigation source: The effective hemisphere model. Soil Science Society of America Journal, 50(4), pp.882-887.

    3.       Ekramnia, F. 1997. Evaluating of kinds of emitters and technical and economical instructions to select the suitable emitter. M.Sc Thesis, Faculty of Agriculture, University of Tehran, Karaj, Iran. 114p. (In Persian)

    4.       Elmaloglou, S. and Diamantopolous, E. 2007. Wetting front advance patterns and water losses by deep percolation under the root zone as influenced by pulsed drip Irrigation. Agricultural Water Management.90:160-163.

    5.       Elnesr, M.N. and Alazba, A.A., 2019. Computational evaluations of HYDRUS simulations of drip irrigation in 2D and 3D domains (i-Surface drippers). Comp. Electron. Agric. 162, pp.189-205.  

    6.       Farajzadeh, K. 2015. Simulation of pulsed drip irrigation and determination of the wetted diameter and depth and the most suitable on-off ratio. M.Sc Thesis, Faculty of Agriculture, University of Tabriz, Tabriz, Iran. 110p. (In Persian)

    7.       Grimes, D.W., Munk, D.S. and Goldhamer, D.A., 1990. Drip irrigation emitter depth placement in a slowly permeable soil. In Visions of the future-Proceedings of the 3rd National Irrigation Symposium-ASAE Pub. 4-90. (pp. 248-254). American Society of Agricultural Engineers.

    8.       Ismail, S.M., EL-Abdeen, T.Z., Omara, A.A. and Abdel-Tawab, E., 2014. Modeling the soil wetting pattern under pulse and continuous drip irrigation. American-Eurasian Journal Agricultural & Environment Science, 14(9), pp.913-922.

    9.       Kanda, E.K., Senzanje, A. and Mabhaudhi, T., 2020. Soil water dynamics under Moistube irrigation. Phys. Chem. Earth, Pt A/B/C, p.102836.

    1. Karimi, B. 2013b. Optimization and management of moisture and nitrate distribution in surface and subsurface drip irrigation systems using dimensional analysis. Ph.D. Thesis, Faculty of Agriculture, University of Tehran, Karaj, Iran. 185p. (In Persian)
    2. Karimi, B., Mohammadi, P., Sanikhani, H., Salih, S.Q. and Yaseen, Z.M., 2020. Modeling wetted areas of moisture bulb for drip irrigation systems: An enhanced empirical model and artificial neural network.
    3. Karimi, B., Karimi, N., Shiri, J. and Sanikhani, H., 2021. Modeling moisture redistribution of drip irrigation systems by soil and system parameters: regression-based approaches. Stochastic Environmental Research and Risk Assessment, pp.1-16.
    4. Karmelli, D., and Peri, G. 1974. Basic principles of pulse American Society of Civil Engineers, Proceedings of the Irrigation and Drainage Division Journal. 100: 309-319.

    16.   Lamm, F. R., Ayars, J. E. and Nakayama, F. S. 2007. Microirrigation for crop production-design, operation and management. Elsevier Publications. 608 pages.

    17.   Malek, K., Peters, R.T., 2011. Wetting pattern models for drip irrigation: new empirical model. J. Irrig. Drain. Eng. 137, 530–536.

    18.   Miller, M. L., Charlesworth, P. B., Katupaitiya, A. and Muirhead, W. A. 2000. A comparison of new and conventional subsurface drip irrigation systems using pulsed and continuous irrigation management. Proceeding of Conference Irrigation Association Australia, May 23-25, 2000. Melbourne, Australia. pp: 391-397.

    19.   Mohammadbeigi, A., Mirzaei, F., and Ahraf, N. 2017. Simulation of soil moisture distribution under drip irrigation pulsed and continuous in dimensional analysis method. Iran. J. Water Soil Cons. 23: 6. 163-180. (In Persian)

    20.   Nasseri, A., Babazadeh, H. and Nakhjevani, S., 2011. Drip Discharge Selection Based on Moisture Distribution Analysis. Journal of Soil and Water Resources Conservation, 1(1), pp.29-42.

    21.   Saefuddin, R., Saito, H. and Šimůnek, J., 2019. Experimental and numerical evaluation of a ring-shaped emitter for subsurface irrigation. Agric. Water Manag. 211, pp.111-122.

    22.   Sezen, S.M., Yazar, A. and Eker, S., 2006. Effect of drip irrigation regimes on yield and quality of field grown bell pepper. Agricultural Water Management, 81(1-2), pp.115-131.

    23.   Sharif-Bayanolhagh, M.H. 1998. Soil moisture distribution from a point source in sloping fields. M.Sc. Thesis, Faculty of Agriculture, Isfahan University of Technology, Isfahan, Iran. 126p. (In Persian)

    24.   Shiri, J., Karimi, B., Karimi, N., Kazemi, M.H. and Karimi, S., 2020. Simulating wetting front dimensions of drip irrigation systems: Multi criteria assessment of soft computing models. Journal of Hydrology, 585, p.124792.

    25.   Solat, S., Alinazari, F., Maroufpoor, E., Shiri, J. and Karimi, B., 2021. Modeling moisture bulb distribution on sloping lands: Numerical and regression-based approaches. Journal of Hydrology, p.126835.

    Tavakoli, A. 2010. Moisture advance front pattern and water losses due to deepercolation under root development zone influenced by pulsed drip irrigation. National Conference on Water, Soil, Plant and Mechanization of Agriculture, Islamic Azad University, Dezfol Unit, Khuzestan, Iran. 2767p. (In Persian)