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Simulation of Soil Water Dynamics Under Surface Drip Irrigation from Equidistant Line Sources

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  • Stamatios Elmaloglou
  • Konstantinos Soulis
  • Nicholas Dercas

Abstract

One of the most important aspects of planning and management of a drip irrigation system is the determination of the soil moisture patterns formed under the emitter. In the present study soil water dynamics under surface drip irrigation from equidistant line sources are investigated using a simulation model, which combines hysteresis in the soil water characteristic curve, evaporation from the soil surface, and water extraction by roots. In this model a two-dimensional distribution of roots as well as a more rational way for the temporal distribution of the daily potential evapotranspiration are also incorporated. Soil water distribution patterns for two soil types (loamy sand, silt loam), two discharge rates (2 and 4 l m −1 h −1 ), two irrigation depths (30 and 40 mm), and two drip line sources spacing patterns (60 and 80 cm) are investigated. The numerical results showed that the soil water dynamics mainly depend on the soil hydraulic properties, the irrigation depth, and the drip line sources spacing. The results also showed that the irrigation efficiency and the actual evaporation decrease when the irrigation dose or the distance between the line sources increases. By contrast, the deep percolation increases when the irrigation dose or the distance between the line sources increases. Copyright Springer Science+Business Media Dordrecht 2013

Suggested Citation

  • Stamatios Elmaloglou & Konstantinos Soulis & Nicholas Dercas, 2013. "Simulation of Soil Water Dynamics Under Surface Drip Irrigation from Equidistant Line Sources," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(12), pages 4131-4148, September.
  • Handle: RePEc:spr:waterr:v:27:y:2013:i:12:p:4131-4148
    DOI: 10.1007/s11269-013-0399-8
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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.
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    3. Oron, Gideon, 1981. "Simulation of water flow in the soil under sub-surface trickle irrigation with water uptake by roots," Agricultural Water Management, Elsevier, vol. 3(3), pages 179-193, March.
    4. Mubarak, Ibrahim & Mailhol, Jean Claude & Angulo-Jaramillo, Rafael & Bouarfa, Sami & Ruelle, Pierre, 2009. "Effect of temporal variability in soil hydraulic properties on simulated water transfer under high-frequency drip irrigation," Agricultural Water Management, Elsevier, vol. 96(11), pages 1547-1559, November.
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    2. Li, Yunfeng & Yu, Qihua & Ning, Huifeng & Gao, Yang & Sun, Jingsheng, 2023. "Simulation of soil water, heat, and salt adsorptive transport under film mulched drip irrigation in an arid saline-alkali area using HYDRUS-2D," Agricultural Water Management, Elsevier, vol. 290(C).
    3. Giuliani, Nicola & Aguzzoni, Agnese & Penna, Daniele & Tagliavini, Massimo, 2023. "Estimating uptake and internal transport dynamics of irrigation water in apple trees using deuterium-enriched water," Agricultural Water Management, Elsevier, vol. 289(C).
    4. Wang, Jingwei & Du, Yadan & Niu, Wenquan & Han, Jinxian & Li, Yuan & Yang, Pingguo, 2022. "Drip irrigation mode affects tomato yield by regulating root–soil–microbe interactions," Agricultural Water Management, Elsevier, vol. 260(C).
    5. Soulis, Konstantinos X. & Elmaloglou, Stamatios & Dercas, Nicholas, 2015. "Investigating the effects of soil moisture sensors positioning and accuracy on soil moisture based drip irrigation scheduling systems," Agricultural Water Management, Elsevier, vol. 148(C), pages 258-268.
    6. Domínguez-Niño, Jesús María & Oliver-Manera, Jordi & Girona, Joan & Casadesús, Jaume, 2020. "Differential irrigation scheduling by an automated algorithm of water balance tuned by capacitance-type soil moisture sensors," Agricultural Water Management, Elsevier, vol. 228(C).
    7. Fabio V. Difonzo & Costantino Masciopinto & Michele Vurro & Marco Berardi, 2021. "Shooting the Numerical Solution of Moisture Flow Equation with Root Water Uptake Models: A Python Tool," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(8), pages 2553-2567, June.
    8. Kilic, Murat, 2020. "A new analytical method for estimating the 3D volumetric wetting pattern under drip irrigation system," Agricultural Water Management, Elsevier, vol. 228(C).
    9. Phogat, V. & Šimůnek, J. & Skewes, M.A. & Cox, J.W. & McCarthy, M.G., 2016. "Improving the estimation of evaporation by the FAO-56 dual crop coefficient approach under subsurface drip irrigation," Agricultural Water Management, Elsevier, vol. 178(C), pages 189-200.

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