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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    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. 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. 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).
    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. 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.
    6. 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).
    7. 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.
    8. 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).
    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. 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.
    12. 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).
    13. Bai, Yu & Gao, Jinhua, 2021. "Optimization of the nitrogen fertilizer schedule of maize under drip irrigation in Jilin, China, based on DSSAT and GA," Agricultural Water Management, Elsevier, vol. 244(C).
    14. 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).
    15. Karandish, Fatemeh & Šimůnek, Jiří, 2019. "A comparison of the HYDRUS (2D/3D) and SALTMED models to investigate the influence of various water-saving irrigation strategies on the maize water footprint," Agricultural Water Management, Elsevier, vol. 213(C), pages 809-820.
    16. Wang, Zhen & Li, Jiusheng & Li, Yanfeng, 2014. "Simulation of nitrate leaching under varying drip system uniformities and precipitation patterns during the growing season of maize in the North China Plain," Agricultural Water Management, Elsevier, vol. 142(C), pages 19-28.
    17. 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).
    18. Tadayonnejad, M. & Mosaddeghi, M.R. & Dashtaki, Sh. Ghorbani, 2017. "Changing soil hydraulic properties and water repellency in a pomegranate orchard irrigated with saline water by applying polyacrylamide," Agricultural Water Management, Elsevier, vol. 188(C), pages 12-20.
    19. Wang, Ce & Ye, Jinyang & Zhai, Yaming & Kurexi, Wuerkaixi & Xing, Dong & Feng, Genxiang & Zhang, Qun & Zhang, Zhanyu, 2023. "Dynamics of Moistube discharge, soil-water redistribution and wetting morphology in response to regulated working pressure heads," Agricultural Water Management, Elsevier, vol. 282(C).
    20. Wang, Jian & Tian, Zuokun & Yang, Ting & Li, Xuechun & He, Qiu & Wang, Duo & Chen, Rui, 2024. "Characteristics of limited flow and soil water infiltration boundary of a subsurface drip irrigation emitter in silty loam soil," Agricultural Water Management, Elsevier, vol. 291(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: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.