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Wetting Patterns in a Subsurface Irrigation System Using Reservoirs of Different Permeabilities: Experimental and HYDRUS-2D/3D Modeling

Author

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  • Zahra Jafari

    (Isfahan University of Technology)

  • Sayed Hamid Matinkhah

    (Isfahan University of Technology)

  • Mohammad Reza Mosaddeghi

    (Isfahan University of Technology)

Abstract

Precipitation in arid lands is low and often highly variable; therefore, efficient irrigation is the best approach for managing limited water supplies and irregular precipitation events for establishing seedlings. The HYDRUS-2D/3D software is a useful tool for simulating water content distribution in the design of subsurface irrigation systems, determining the proper locations of reservoir and plant, irrigation scheduling and maximizing water use efficiency. In this study, wetting patterns around the reservoirs with different permeabilities (low, medium, and high) were assessed in the field and simulated using the HYDRUS-2D/3D software. Different amounts of animal manure and wheat straw were mixed with clay fractions to produce the reservoirs with different permeabilities. The results showed that the highest soil water content was observed near the reservoir, and it decreased with distancing from the reservoir. In the high permeability treatment (with saturated hydraulic conductivity, Ks = 0.2 cm/day), a large volume of water was released for almost three days, so that more water was deep-percolated and lowered the soil water available to plant roots. In the low and medium permeability treatments (Ks = 0.08, and 0.06 cm/day, respectively), the water slowly leaked, and the maximum soil water content was observed in the 20–40 cm layer over time. The HYDRUS-2D/3D software was able to simulate water flow and soil water content during the growth period of plants, with a high correspondence between measured and simulated soil water contents (R2 = 0.90–0.95), which was higher in the lower discharges.

Suggested Citation

  • Zahra Jafari & Sayed Hamid Matinkhah & Mohammad Reza Mosaddeghi, 2022. "Wetting Patterns in a Subsurface Irrigation System Using Reservoirs of Different Permeabilities: Experimental and HYDRUS-2D/3D Modeling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(14), pages 5335-5352, November.
    • Handle: RePEc:spr:waterr:v:36:y:2022:i:14:d:10.1007_s11269-022-03226-w
    DOI: 10.1007/s11269-022-03226-w
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    References listed on IDEAS

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    1. Gardenas, A.I. & Hopmans, J.W. & Hanson, B.R. & Simunek, J., 2005. "Two-dimensional modeling of nitrate leaching for various fertigation scenarios under micro-irrigation," Agricultural Water Management, Elsevier, vol. 74(3), pages 219-242, June.
    2. Kandelous, Maziar M. & Simunek, Jirí, 2010. "Numerical simulations of water movement in a subsurface drip irrigation system under field and laboratory conditions using HYDRUS-2D," Agricultural Water Management, Elsevier, vol. 97(7), pages 1070-1076, July.
    3. Li, Jiusheng & Zhang, Jianjun & Rao, Minjie, 2004. "Wetting patterns and nitrogen distributions as affected by fertigation strategies from a surface point source," Agricultural Water Management, Elsevier, vol. 67(2), pages 89-104, June.
    4. Mailhol, Jean Claude & Ruelle, Pierre & Walser, Sabine & Schütze, Niels & Dejean, Cyril, 2011. "Analysis of AET and yield predictions under surface and buried drip irrigation systems using the Crop Model PILOTE and Hydrus-2D," Agricultural Water Management, Elsevier, vol. 98(6), pages 1033-1044, April.
    5. Saefuddin, Reskiana & Saito, Hirotaka & Šimůnek, Jiří, 2019. "Experimental and numerical evaluation of a ring-shaped emitter for subsurface irrigation," Agricultural Water Management, Elsevier, vol. 211(C), pages 111-122.
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    Cited by:

    1. Hojjat Ghorbani Vaghei & Hossein Ali Bahrami & Farzin Nasiri Saleh, 2023. "Optimizing Soil Moisture in Subsurface Irrigation System Based on Porous Clay Capsule Technique," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(8), pages 3037-3051, June.

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