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Wetting patterns estimation under drip irrigation systems using an enhanced empirical model

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  • Al-Ogaidi, Ahmed A.M.
  • Wayayok, Aimrun
  • Rowshon, M.K.
  • Abdullah, Ahmed Fikri

Abstract

The wetting pattern is an important factor to consider when designing and managing a drip irrigation system. The dimensions of the pattern are imperative in selecting the right spacing between emitters and the suitable distance between laterals. We conduct laboratory experiments with surface drip irrigation involving two soil textures (sand and clay), two discharge rates, and two soil profiles (homogeneous and layered-textural). An empirical model was developed to estimate the vertical and horizontal advance of the wetting front at different application times. The empirical model includes estimation of the wetted radius at the soil surface and the depth of the wetting pattern as a function of application time, emitter discharge, soil bulk density, initial soil moisture content, saturated hydraulic conductivity, and the proportions of sand, silt and clay in the soil. We follow the same procedure in developing empirical formulas for predicting the wetted radius at different soil depths, to estimate the full shape of the wetting pattern. The proposed model predicts the full wetting pattern with acceptable accuracy and performs well in replicating published experimental data.

Suggested Citation

  • Al-Ogaidi, Ahmed A.M. & Wayayok, Aimrun & Rowshon, M.K. & Abdullah, Ahmed Fikri, 2016. "Wetting patterns estimation under drip irrigation systems using an enhanced empirical model," Agricultural Water Management, Elsevier, vol. 176(C), pages 203-213.
  • Handle: RePEc:eee:agiwat:v:176:y:2016:i:c:p:203-213
    DOI: 10.1016/j.agwat.2016.06.002
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    References listed on IDEAS

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    1. 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.
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    Cited by:

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    2. Jun Zhang & Lin Li, 2022. "Spatial and Temporal Characteristics of Infiltration Wetting Front of Ring-Shaped Root Emitters," Sustainability, MDPI, vol. 14(11), pages 1-14, May.
    3. Al-Ogaidi, Ahmed A.M. & Wayayok, Aimrun & Rowshon, M.K. & Abdullah, Ahmad Fikri, 2017. "The influence of magnetized water on soil water dynamics under drip irrigation systems," Agricultural Water Management, Elsevier, vol. 180(PA), pages 70-77.
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    5. Kisi, Ozgur & Khosravinia, Payam & Heddam, Salim & Karimi, Bakhtiar & Karimi, Nazir, 2021. "Modeling wetting front redistribution of drip irrigation systems using a new machine learning method: Adaptive neuro- fuzzy system improved by hybrid particle swarm optimization – Gravity search algor," Agricultural Water Management, Elsevier, vol. 256(C).
    6. Bopp, Carlos & Jara-Rojas, Roberto & Bravo-Ureta, Boris & Engler, Alejandra, 2022. "Irrigation water use, shadow values and productivity: Evidence from stochastic production frontiers in vineyards," Agricultural Water Management, Elsevier, vol. 271(C).
    7. Zhou, Lifeng & Feng, Hao & Zhao, Ying & Qi, Zhijuan & Zhang, Tibin & He, Jianqiang & Dyck, Miles, 2017. "Drip irrigation lateral spacing and mulching affects the wetting pattern, shoot-root regulation, and yield of maize in a sand-layered soil," Agricultural Water Management, Elsevier, vol. 184(C), pages 114-123.
    8. Vidana Gamage, D.N. & Biswas, A. & Strachan, I.B., 2018. "Actively heated fiber optics method to monitor three-dimensional wetting patterns under drip irrigation," Agricultural Water Management, Elsevier, vol. 210(C), pages 243-251.
    9. Fu, Qiang & Hou, Renjie & Li, Tianxiao & Li, Yue & Liu, Dong & Li, Mo, 2019. "A new infiltration model for simulating soil water movement in canal irrigation under laboratory conditions," Agricultural Water Management, Elsevier, vol. 213(C), pages 433-444.
    10. Han, Feng & Zheng, Yi & Zhang, Ling & Xiong, Rui & Hu, Zhaoping & Tian, Yong & Li, Xin, 2023. "Simulating drip irrigation in large-scale and high-resolution ecohydrological models: From emitters to the basin," Agricultural Water Management, Elsevier, vol. 289(C).
    11. 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).

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