IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v295y2024ics037837742400091x.html
   My bibliography  Save this article

Influence of soil hydraulic parameters on bulb size for surface and buried emitters

Author

Listed:
  • Baiamonte, Giorgio
  • Alagna, Vincenzo
  • Autovino, Dario
  • Iovino, Massimo
  • Palermo, Samuel
  • Vaccaro, Girolamo
  • Bagarello, Vincenzo

Abstract

Predicting the size expansion of wetting bulbs during surface and subsurface drip irrigation is compulsory for water saving and helps drive irrigation design and scheduling. To solve these issues, various numerical and analytical models, which take into account for the soil hydraulic parameters have been suggested in the literature. The model introduced by Philip (1984) is based on closed-form dimensionless solutions to determine the vertical and horizontal dimensions of the bulb expansion for both buried and surface point sources, under the assumption of homogeneous soil hydraulic properties. In this paper, the solutions provided by Philip (1984) were reformulated in dimensional terms and applied to an already available large data set of soil hydraulic parameters measured in a citrus orchard to evaluate the impact of soil hydraulic properties variability on the development of the wetting front. The results showed that the range of variability of the bulb geometric variables is similar for both buried and surface sources, with a slightly smaller boundary width observed for surface versus buried emitters. More importantly, the geometric bulb variables corresponding to the soil dataset, which characterizes the same soil, turned out to be very different, demonstrating that the soil hydraulic parameters have a strong control over the bulb size. In particular, the soil hydraulic properties have an important effect on the downward vertical expansion of the bulb for both surface (CV = 15.5 %) and buried (CV = 18.5 %) point sources. While the horizontal expansion of the bulb from the surface source (CV = 10.6 %) and the upward vertical expansion from the buried source (CV = 12.7 %) are a bit less affected. Therefore, the risk of an inadequate soil hydraulic characterization could be an incorrect estimate of the irrigation volume to be imposed, thus underwatering or overwatering the root zone.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:agiwat:v:295:y:2024:i:c:s037837742400091x
    DOI: 10.1016/j.agwat.2024.108756
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S037837742400091X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2024.108756?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. 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.
    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. 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.
    4. 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.
    5. Singh, D.K. & Rajput, T.B.S. & Singh, D.K. & Sikarwar, H.S. & Sahoo, R.N. & Ahmad, T., 2006. "Simulation of soil wetting pattern with subsurface drip irrigation from line source," Agricultural Water Management, Elsevier, vol. 83(1-2), pages 130-134, May.
    Full references (including those not matched with items on IDEAS)

    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. 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).
    2. 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.
    3. 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).
    4. Karandish, Fatemeh & Šimůnek, Jiří, 2016. "A field-modeling study for assessing temporal variations of soil-water-crop interactions under water-saving irrigation strategies," Agricultural Water Management, Elsevier, vol. 178(C), pages 291-303.
    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. 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.
    7. Qi, Wei & Zhang, Zhanyu & Wang, Ce & Huang, Mingyi, 2021. "Prediction of infiltration behaviors and evaluation of irrigation efficiency in clay loam soil under Moistube® irrigation," Agricultural Water Management, Elsevier, vol. 248(C).
    8. 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.
    9. 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.
    10. Nazari, Ehsan & Besharat, Sina & Zeinalzadeh, Kamran & Mohammadi, Adel, 2021. "Measurement and simulation of the water flow and root uptake in soil under subsurface drip irrigation of apple tree," Agricultural Water Management, Elsevier, vol. 255(C).
    11. 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).
    12. 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).
    13. 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.
    14. Amin, M.G. Mostofa & Šimůnek, Jirka & Lægdsmand, Mette, 2014. "Simulation of the redistribution and fate of contaminants from soil-injected animal slurry," Agricultural Water Management, Elsevier, vol. 131(C), pages 17-29.
    15. Kuklik, Vaclav & Hoang, Thai Dai, 2014. "Soil moisture regimes under point irrigation," Agricultural Water Management, Elsevier, vol. 134(C), pages 42-49.
    16. Zhao, Ying & Zhai, Xiafei & Wang, Zhaohui & Li, Huijie & Jiang, Rui & Lee Hill, Robert & Si, Bing & Hao, Feng, 2018. "Simulation of soil water and heat flow in ridge cultivation with plastic film mulching system on the Chinese Loess Plateau," Agricultural Water Management, Elsevier, vol. 202(C), pages 99-112.
    17. Pizarro, E. & Galleguillos, M. & Barría, P. & Callejas, R., 2022. "Irrigation management or climate change ? Which is more important to cope with water shortage in the production of table grape in a Mediterranean context," Agricultural Water Management, Elsevier, vol. 263(C).
    18. 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.
    19. Nie, Wei-Bo & Dong, Shu-Xin & Li, Yi-Bo & Ma, Xiao-Yi, 2021. "Optimization of the border size on the irrigation district scale – Example of the Hetao irrigation district," Agricultural Water Management, Elsevier, vol. 248(C).
    20. 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.

    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:295:y:2024:i:c:s037837742400091x. 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.