IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v228y2020ics0378377419314040.html
   My bibliography  Save this article

A new analytical method for estimating the 3D volumetric wetting pattern under drip irrigation system

Author

Listed:
  • Kilic, Murat

Abstract

The wetting pattern and its components are important factors in the optimum design and operation of a drip irrigation system. In this investigation, the 3D volumetric wetting pattern which occurred under the surface drip irrigation was described analytically. In the laboratory experiment, the spatio-temporal variation of the wetting pattern was observed during the water application period, and the sizes of its components were measured at five-minute intervals. The components of the pattern were the wetted radius on the soil surface at any time during irrigation and the maximum wetted depth and maximum wetted width in the soil profile. In addition, camera records were taken during the experiment. Some physical and chemical features of the soil sample which were important for irrigation were analyzed. Also, the infiltration test was performed by double-ring infiltrometer in the field where the soil samples were taken. The moisture content of the soil was determined at the beginning of the irrigation application. In the next stage, the wetting pattern was located on the Coordinate System, and the main movement equations describing the spatio-temporal variation of the pattern were obtained. The volumetric wetting pattern was determined by processing these functions in the 3D system. Drip irrigation may be applied on various soil textures, with different emitter discharges and application times. Although wetting patterns in various conditions show different properties of shape from each other, the models devised contain the entire main common components of the wetting pattern. As a result, when the models were run with the data from the experiment, the 3D wetting pattern in the drip irrigation system was determined and analyzed comparatively from the points of view of main movement features of water in the soil profile and on the soil surface.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:agiwat:v:228:y:2020:i:c:s0378377419314040
    DOI: 10.1016/j.agwat.2019.105898
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377419314040
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2019.105898?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. Moncef, Hammami & Khemaies, Zayani, 2016. "An analytical approach to predict the moistened bulb volume beneath a surface point source," Agricultural Water Management, Elsevier, vol. 166(C), pages 123-129.
    2. van der Kooij, Saskia & Zwarteveen, Margreet & Boesveld, Harm & Kuper, Marcel, 2013. "The efficiency of drip irrigation unpacked," Agricultural Water Management, Elsevier, vol. 123(C), pages 103-110.
    3. ST. Elmaloglou & N. Malamos, 2007. "Estimation of Width and Depth of the Wetted Soil Volume Under a Surface Emitter, Considering Root Water-Uptake and Evaporation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(8), pages 1325-1340, August.
    4. Kuklik, Vaclav & Hoang, Thai Dai, 2014. "Soil moisture regimes under point irrigation," Agricultural Water Management, Elsevier, vol. 134(C), pages 42-49.
    5. 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.
    6. Fernandez-Galvez, J. & Simmonds, L.P., 2006. "Monitoring and modelling the three-dimensional flow of water under drip irrigation," Agricultural Water Management, Elsevier, vol. 83(3), pages 197-208, June.
    7. Elmaloglou, S. & Diamantopoulos, E. & Dercas, N., 2010. "Comparing soil moisture under trickle irrigation modeled as a point and line source," Agricultural Water Management, Elsevier, vol. 97(3), pages 426-432, March.
    8. Bhatnagar, P.R. & Chauhan, H.S., 2008. "Soil water movement under a single surface trickle source," Agricultural Water Management, Elsevier, vol. 95(7), pages 799-808, July.
    9. 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.
    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. 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).

    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. 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.
    2. 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).
    3. 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.
    4. 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.
    5. Forough Jafary & Chris Bradley, 2018. "Groundwater Irrigation Management and the Existing Challenges from the Farmers’ Perspective in Central Iran," Land, MDPI, vol. 7(1), pages 1-21, January.
    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. Zhang, Kefeng & Greenwood, Duncan J. & Spracklen, William P. & Rahn, Clive R. & Hammond, John P. & White, Philip J. & Burns, Ian G., 2010. "A universal agro-hydrological model for water and nitrogen cycles in the soil-crop system SMCR_N: Critical update and further validation," Agricultural Water Management, Elsevier, vol. 97(10), pages 1411-1422, October.
    8. Kuklik, Vaclav & Hoang, Thai Dai, 2014. "Soil moisture regimes under point irrigation," Agricultural Water Management, Elsevier, vol. 134(C), pages 42-49.
    9. Venot, Jean-Philippe, 2016. "A Success of Some Sort: Social Enterprises and Drip Irrigation in the Developing World," World Development, Elsevier, vol. 79(C), pages 69-81.
    10. Abdelraouf R. E. & H. G. Ghanem & Najat A. Bukhari & Mohamed El-Zaidy, 2020. "Field and Modeling Study on Manual and Automatic Irrigation Scheduling under Deficit Irrigation of Greenhouse Cucumber," Sustainability, MDPI, vol. 12(23), pages 1-20, November.
    11. 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.
    12. David Haro-Monteagudo & Leticia Palazón & Christos Zoumides & Santiago Beguería, 2023. "Optimal Implementation of Climate Change Adaptation Measures to Ensure Long-term Sustainability on Large Irrigation Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(8), pages 2909-2924, June.
    13. Mateos, Luciano & dos Santos Almeida, Alexsandro Claudio & Frizzone, José Antônio & Lima, Sílvio Carlos Ribeiro Vieira, 2018. "Performance assessment of smallholder irrigation based on an energy-water-yield nexus approach," Agricultural Water Management, Elsevier, vol. 206(C), pages 176-186.
    14. 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).
    15. 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.
    16. Simons, G.W.H. & Bastiaanssen, W.G.M. & Cheema, M.J.M. & Ahmad, B. & Immerzeel, W.W., 2020. "A novel method to quantify consumed fractions and non-consumptive use of irrigation water: Application to the Indus Basin Irrigation System of Pakistan," Agricultural Water Management, Elsevier, vol. 236(C).
    17. 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).
    18. Mariem Baccar & Jacques-Eric Bergez & Stephane Couture & Muddu Sekhar & Laurent Ruiz & Delphine Leenhardt, 2021. "Building Climate Change Adaptation Scenarios with Stakeholders for Water Management: A Hybrid Approach Adapted to the South Indian Water Crisis," Sustainability, MDPI, vol. 13(15), pages 1-15, July.
    19. 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).
    20. Zhang, Youliang & Feng, Shaoyuan & Wang, Fengxin & Feng, Ren & Nie, Wei, 2022. "Effects of drip discharge flux and soil wetted percentage on drip irrigated potato growth with film mulch," Agricultural Water Management, Elsevier, vol. 272(C).

    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:228:y:2020:i:c:s0378377419314040. 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.