IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v121y2013icp73-80.html
   My bibliography  Save this article

Solute transport in a loamy soil under subsurface porous clay pipe irrigation

Author

Listed:
  • Siyal, A.A.
  • van Genuchten, M. Th.
  • Skaggs, T.H.

Abstract

Subsurface porous clay pipe irrigation is widely considered to be a very promising method for small-scale irrigation in arid regions. Unfortunately, salt accumulation at and near the soil surface using this method may affect germination of direct-seeded crops. Predicting salt movement and accumulation with clay pipe irrigation will allow producers to anticipate the need for leaching to control salinity in the soil root zone. The HYDRUS-2D model was used to simulate the accumulation of salt from a subsurface clay pipe irrigation system, installed at 30cm depth, during the growing season of okra (Abelmoschus esculentus) irrigated with water having a salinity of 1.1dSm−1. The loamy soil profile had an initial salinity of 2.3dSm−1. Predicted electrical conductivity (ECe) values at the end of the growing season correlated significantly (R2=0.952) with measured saturated paste ECe data obtained at the end of the field experiments. Salinity was found to be relatively low around the pipes, but increased with distance away from the pipes. Measured and predicted soil salinity levels were especially higher above the clay pipes. Our results indicate that proper management of salt accumulation is vital for sustainable crop production whenever subsurface irrigation systems are being implemented.

Suggested Citation

  • Siyal, A.A. & van Genuchten, M. Th. & Skaggs, T.H., 2013. "Solute transport in a loamy soil under subsurface porous clay pipe irrigation," Agricultural Water Management, Elsevier, vol. 121(C), pages 73-80.
    • Handle: RePEc:eee:agiwat:v:121:y:2013:i:c:p:73-80
    DOI: 10.1016/j.agwat.2013.01.005
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377413000176
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2013.01.005?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. Hussain, Ghulam & Al-Jaloud, A. A. & Al-Shammafy, S. A. & Karimulla, S. & Al-Aswad, S. O., 1997. "Effect of saline irrigation on germination and growth parameters of barley (Hordeum vulgare L.) in a pot experiment," Agricultural Water Management, Elsevier, vol. 34(2), pages 125-135, August.
    2. Roberts, Trenton L. & White, Scott A. & Warrick, Arthur W. & Thompson, Thomas L., 2008. "Tape depth and germination method influence patterns of salt accumulation with subsurface drip irrigation," Agricultural Water Management, Elsevier, vol. 95(6), pages 669-677, June.
    3. Hanson, Blaine R. & Simunek, Jirka & Hopmans, Jan W., 2006. "Evaluation of urea-ammonium-nitrate fertigation with drip irrigation using numerical modeling," Agricultural Water Management, Elsevier, vol. 86(1-2), pages 102-113, November.
    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. Cai, Yaohui & Wu, Pute & Zhang, Lin & Zhu, Delan & Chen, Junying & Wu, ShouJun & Zhao, Xiao, 2017. "Simulation of soil water movement under subsurface irrigation with porous ceramic emitter," Agricultural Water Management, Elsevier, vol. 192(C), pages 244-256.
    2. 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).
    3. 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.
    4. 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).
    5. Evgenia Mahler, 2024. "Innovations in Clay-Based Irrigation Technologies—A Systematic Review," Sustainability, MDPI, vol. 16(16), pages 1-23, August.
    6. Wang, JiaJia & Long, HuaiYu & Huang, YuanFang & Wang, XiangLing & Cai, Bin & Liu, Wei, 2019. "Effects of different irrigation management parameters on cumulative water supply under negative pressure irrigation," Agricultural Water Management, Elsevier, vol. 224(C), pages 1-1.
    7. Genxiang Feng & Zhanyu Zhang & Zemin Zhang, 2019. "Evaluating the Sustainable Use of Saline Water Irrigation on Soil Water-Salt Content and Grain Yield under Subsurface Drainage Condition," Sustainability, MDPI, vol. 11(22), pages 1-18, November.

    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. 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.
    2. Phogat, V. & Skewes, M.A. & Cox, J.W. & Alam, J. & Grigson, G. & Šimůnek, J., 2013. "Evaluation of water movement and nitrate dynamics in a lysimeter planted with an orange tree," Agricultural Water Management, Elsevier, vol. 127(C), pages 74-84.
    3. Pedras, C.M.G. & Pereira, L.S. & Gonalves, J.M., 2009. "MIRRIG: A decision support system for design and evaluation of microirrigation systems," Agricultural Water Management, Elsevier, vol. 96(4), pages 691-701, April.
    4. Zhang, You-Liang & Feng, Shao-Yuan & Wang, Feng-Xin & Binley, Andrew, 2018. "Simulation of soil water flow and heat transport in drip irrigated potato field with raised beds and full plastic-film mulch in a semiarid area," Agricultural Water Management, Elsevier, vol. 209(C), pages 178-187.
    5. Liu, Chunye & Wang, Rui & Wang, Wene & Hu, Xiaotao & Cheng, Yong & Liu, Fulai, 2021. "Effect of fertilizer solution concentrations on filter clogging in drip fertigation systems," Agricultural Water Management, Elsevier, vol. 250(C).
    6. Li, Yong & Šimůnek, Jirka & Zhang, Zhentin & Jing, Longfei & Ni, Lixiao, 2015. "Evaluation of nitrogen balance in a direct-seeded-rice field experiment using Hydrus-1D," Agricultural Water Management, Elsevier, vol. 148(C), pages 213-222.
    7. Liu, Yi & Zeng, Wenzhi & Ao, Chang & Lei, Guoqing & Wu, Jingwei & Huang, Jiesheng & Gaiser, Thomas & Srivastava, Amit Kumar, 2022. "Optimization of winter irrigation management for salinized farmland using a coupled model of soil water flow and crop growth," Agricultural Water Management, Elsevier, vol. 270(C).
    8. 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.
    9. Singh, Simratpal & Coppi, Luca & Wang, Zijian & Tenuta, Mario & Holländer, Hartmut M., 2019. "Regionalisation of nitrate leaching on pasture land in Southern Manitoba," Agricultural Water Management, Elsevier, vol. 222(C), pages 286-300.
    10. 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.
    11. Kaiwen Chen & Shuang’en Yu & Tao Ma & Jihui Ding & Pingru He & Yao Li & Yan Dai & Guangquan Zeng, 2022. "Modeling the Water and Nitrogen Management Practices in Paddy Fields with HYDRUS-1D," Agriculture, MDPI, vol. 12(7), pages 1-18, June.
    12. Mo, Yan & Li, Guangyong & Wang, Dan, 2017. "A sowing method for subsurface drip irrigation that increases the emergence rate, yield, and water use efficiency in spring corn," Agricultural Water Management, Elsevier, vol. 179(C), pages 288-295.
    13. Krevh, Vedran & Filipović, Lana & Petošić, Dragutin & Mustać, Ivan & Bogunović, Igor & Butorac, Jasminka & Kisić, Ivica & Defterdarović, Jasmina & Nakić, Zoran & Kovač, Zoran & Pereira, Paulo & He, Ha, 2023. "Long-term analysis of soil water regime and nitrate dynamics at agricultural experimental site: Field-scale monitoring and numerical modeling using HYDRUS-1D," Agricultural Water Management, Elsevier, vol. 275(C).
    14. Haghnazari, Farzad & Karandish, Fatemeh & Darzi-Naftchali, Abdullah & Šimůnek, Jiří, 2020. "Dynamic assessment of the impacts of global warming on nitrate losses from a subsurface-drained rainfed-canola field," Agricultural Water Management, Elsevier, vol. 242(C).
    15. 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).
    16. Phogat, V. & Skewes, Mark A. & Mahadevan, M. & Cox, J.W., 2013. "Evaluation of soil plant system response to pulsed drip irrigation of an almond tree under sustained stress conditions," Agricultural Water Management, Elsevier, vol. 118(C), pages 1-11.
    17. 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.
    18. Sharmiladevi, R. & Ravikumar, V., 2021. "Simulation of nitrogen fertigation schedule for drip irrigated paddy," Agricultural Water Management, Elsevier, vol. 252(C).
    19. 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.
    20. Nasta, Paolo & Bonanomi, Giuliano & Šimůnek, Jirka & Romano, Nunzio, 2021. "Assessing the nitrate vulnerability of shallow aquifers under Mediterranean climate conditions," Agricultural Water Management, Elsevier, vol. 258(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:121:y:2013:i:c:p:73-80. 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.