IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v176y2016icp203-213.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377416302074
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agwat.2016.06.002?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. Baiamonte, Giorgio & Alagna, Vincenzo & Autovino, Dario & Iovino, Massimo & Palermo, Samuel & Vaccaro, Girolamo & Bagarello, Vincenzo, 2024. "Influence of soil hydraulic parameters on bulb size for surface and buried emitters," Agricultural Water Management, Elsevier, vol. 295(C).
    3. 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).
    4. 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).
    5. Jamei, Mehdi & Maroufpoor, Saman & Aminpour, Younes & Karbasi, Masoud & Malik, Anurag & Karimi, Bakhtiar, 2022. "Developing hybrid data-intelligent method using Boruta-random forest optimizer for simulation of nitrate distribution pattern," Agricultural Water Management, Elsevier, vol. 270(C).
    6. 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.
    7. He, Yuelin & Xi, Benye & Li, Guangde & Wang, Ye & Jia, Liming & Zhao, Dehai, 2021. "Influence of drip irrigation, nitrogen fertigation, and precipitation on soil water and nitrogen distribution, tree seasonal growth and nitrogen uptake in young triploid poplar (Populus tomentosa) pla," Agricultural Water Management, Elsevier, vol. 243(C).
    8. 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).
    9. 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.
    10. 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.
    11. 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.
    12. Zhu Zhu & Muhammad Waseem Rasheed & Muhammad Safdar & Baolin Yao & Hudan Tumaerbai & Abid Sarwar & Lianyong Zhu, 2024. "Intermittent Drip Irrigation Soil Wet Front Prediction Model and Effective Water Storage Analysis," Sustainability, MDPI, vol. 16(21), pages 1-19, November.
    13. 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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lv, Zhaoyan & Diao, Ming & Li, Weihua & Cai, Jian & Zhou, Qin & Wang, Xiao & Dai, Tingbo & Cao, Weixing & Jiang, Dong, 2019. "Impacts of lateral spacing on the spatial variations in water use and grain yield of spring wheat plants within different rows in the drip irrigation system," Agricultural Water Management, Elsevier, vol. 212(C), pages 252-261.
    2. Muhammad Zain & Zhuanyun Si & Sen Li & Yang Gao & Faisal Mehmood & Shafeeq-Ur Rahman & Abdoul Kader Mounkaila Hamani & Aiwang Duan, 2021. "The Coupled Effects of Irrigation Scheduling and Nitrogen Fertilization Mode on Growth, Yield and Water Use Efficiency in Drip-Irrigated Winter Wheat," Sustainability, MDPI, vol. 13(5), pages 1-17, March.
    3. Kumar, Mukesh & Rajput, T.B.S. & Kumar, Rohitashw & Patel, Neelam, 2016. "Water and nitrate dynamics in baby corn (Zea mays L.) under different fertigation frequencies and operating pressures in semi-arid region of India," Agricultural Water Management, Elsevier, vol. 163(C), pages 263-274.
    4. 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.
    5. Firouzabadi, Ali Ghadami & Baghani, Javad & Jovzi, Mehdi & Albaji, Mohammad, 2021. "Effects of wheat row spacing layout and drip tape spacing on yield and water productivity in sandy clay loam soil in a semi-arid region," Agricultural Water Management, Elsevier, vol. 251(C).
    6. Jamei, Mehdi & Maroufpoor, Saman & Aminpour, Younes & Karbasi, Masoud & Malik, Anurag & Karimi, Bakhtiar, 2022. "Developing hybrid data-intelligent method using Boruta-random forest optimizer for simulation of nitrate distribution pattern," Agricultural Water Management, Elsevier, vol. 270(C).
    7. Arbat, G. & Roselló, A. & Domingo Olivé, F. & Puig-Bargués, J. & González Llinàs, E. & Duran-Ros, M. & Pujol, J. & Ramírez de Cartagena, F., 2013. "Soil water and nitrate distribution under drip irrigated corn receiving pig slurry," Agricultural Water Management, Elsevier, vol. 120(C), pages 11-22.
    8. Ravikumar, V. & Vijayakumar, G. & Simunek, J. & Chellamuthu, S. & Santhi, R. & Appavu, K., 2011. "Evaluation of fertigation scheduling for sugarcane using a vadose zone flow and transport model," Agricultural Water Management, Elsevier, vol. 98(9), pages 1431-1440, July.
    9. Che, Zheng & Wang, Jun & Li, Jiusheng, 2021. "Effects of water quality, irrigation amount and nitrogen applied on soil salinity and cotton production under mulched drip irrigation in arid Northwest China," Agricultural Water Management, Elsevier, vol. 247(C).
    10. Rahil, M.H. & Antonopoulos, V.Z., 2007. "Simulating soil water flow and nitrogen dynamics in a sunflower field irrigated with reclaimed wastewater," Agricultural Water Management, Elsevier, vol. 92(3), pages 142-150, September.
    11. He, Qinsi & Li, Sien & Kang, Shaozhong & Yang, Hanbo & Qin, Shujing, 2018. "Simulation of water balance in a maize field under film-mulching drip irrigation," Agricultural Water Management, Elsevier, vol. 210(C), pages 252-260.
    12. Barakat, Mohammad & Cheviron, Bruno & Angulo-Jaramillo, Rafael, 2016. "Influence of the irrigation technique and strategies on the nitrogen cycle and budget: A review," Agricultural Water Management, Elsevier, vol. 178(C), pages 225-238.
    13. Tang, Pan & Li, Hong & Issaka, Zakaria & Chen, Chao, 2018. "Effect of manifold layout and fertilizer solution concentration on fertilization and flushing times and uniformity of drip irrigation systems," Agricultural Water Management, Elsevier, vol. 200(C), pages 71-79.
    14. Głąb, Tomasz & Szewczyk, Wojciech & Gondek, Krzysztof & Mierzwa-Hersztek, Monika & Palmowska, Joanna & Nęcka, Krzysztof, 2020. "Optimization of turfgrass fertigation rate and frequency," Agricultural Water Management, Elsevier, vol. 234(C).
    15. Meng, Wenjie & Xing, Jinliang & Niu, Mu & Zuo, Qiang & Wu, Xun & Shi, Jianchu & Sheng, Jiandong & Jiang, Pingan & Chen, Quanjia & Ben-Gal, Alon, 2023. "Optimizing fertigation schemes based on root distribution," Agricultural Water Management, Elsevier, vol. 275(C).
    16. Azad, Nasrin & Behmanesh, Javad & Rezaverdinejad, Vahid & Abbasi, Fariborz & Navabian, Maryam, 2018. "Developing an optimization model in drip fertigation management to consider environmental issues and supply plant requirements," Agricultural Water Management, Elsevier, vol. 208(C), pages 344-356.
    17. Yang, Kaijing & Wang, Fengxin & Shock, Clinton C. & Kang, Shaozhong & Huo, Zailin & Song, Na & Ma, Dan, 2017. "Potato performance as influenced by the proportion of wetted soil volume and nitrogen under drip irrigation with plastic mulch," Agricultural Water Management, Elsevier, vol. 179(C), pages 260-270.
    18. 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.
    19. 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.
    20. Yunquan Zhang & Peiling Yang, 2023. "A Simulation-Based Optimization Model for Control of Soil Salinization in the Hetao Irrigation District, Northwest China," Sustainability, MDPI, vol. 15(5), pages 1-20, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:agiwat:v:176:y:2016:i:c:p:203-213. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.