IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v275y2023ics0378377422005935.html
   My bibliography  Save this article

A smart surface irrigation design based on the topographical and geometrical shape characteristics of the land

Author

Listed:
  • Pazouki, Ehsan

Abstract

Designing an efficient irrigation system on the farmland is a challenging issue which is dependent on many characteristics of the farmland. In this paper, the topographical and geometrical characteristics of the land are analyzed for designing an efficient furrow surface irrigation system. The topographical characteristics of the farmland can be changed in the cultivation process, so designing an efficient irrigation system requires modeling the last state of the topographical and geometrical characteristics of the land. The proposed method uses the digital elevation model, aspect of the slope and slope model of the land as topographical information and geometrical shape of the land as geometrical information. It designs the irrigation system at the field level for delivering water from the inlet of the land to the plants and uses a two steps designing strategy. First, the algorithm segments the land based on the topographical characteristics and geometrical shape into some plots. Then the ditches network is designed based on the topographical data and the geometrical shape of the land for providing water to the head ditch of each plot. The proposed method designs an efficient furrow irrigation system based on many well-known metrics. It was evaluated in an experimental field and compared with the traditional farmer designed irrigation system and two other normal irrigation systems. The evaluation shows that the proposed method can improve efficiency by decreasing the used water and irrigation time by about 50%.

Suggested Citation

  • Pazouki, Ehsan, 2023. "A smart surface irrigation design based on the topographical and geometrical shape characteristics of the land," Agricultural Water Management, Elsevier, vol. 275(C).
    • Handle: RePEc:eee:agiwat:v:275:y:2023:i:c:s0378377422005935
    DOI: 10.1016/j.agwat.2022.108046
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377422005935
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2022.108046?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. Bautista, E. & Clemmens, A.J. & Strelkoff, T.S. & Schlegel, J., 2009. "Modern analysis of surface irrigation systems with WinSRFR," Agricultural Water Management, Elsevier, vol. 96(7), pages 1146-1154, July.
    2. Salahou, Mohamed Khaled & Jiao, Xiyun & Lü, Haishen, 2018. "Border irrigation performance with distance-based cut-off," Agricultural Water Management, Elsevier, vol. 201(C), pages 27-37.
    3. Mazarei, Reza & Mohammadi, Amir Soltani & Naseri, Abd Ali & Ebrahimian, Hamed & Izadpanah, Zahra, 2020. "Optimization of furrow irrigation performance of sugarcane fields based on inflow and geometric parameters using WinSRFR in Southwest of Iran," Agricultural Water Management, Elsevier, vol. 228(C).
    4. Pazouki, Ehsan, 2021. "A practical surface irrigation design based on fuzzy logic and meta-heuristic algorithms," Agricultural Water Management, Elsevier, vol. 256(C).
    5. Fadul, E. & Masih, I. & De Fraiture, C. & Suryadi, F.X., 2020. "Irrigation performance under alternative field designs in a spate irrigation system with large field dimensions," Agricultural Water Management, Elsevier, vol. 231(C).
    6. Smith, R.J. & Uddin, M.J. & Gillies, M.H., 2018. "Estimating irrigation duration for high performance furrow irrigation on cracking clay soils," Agricultural Water Management, Elsevier, vol. 206(C), pages 78-85.
    7. Pazouki, Ehsan, 2021. "A practical surface irrigation system design based on volume balance model and multi-objective evolutionary optimization algorithms," Agricultural Water Management, Elsevier, vol. 248(C).
    8. Bautista, E. & Clemmens, A.J. & Strelkoff, T.S. & Niblack, M., 2009. "Analysis of surface irrigation systems with WinSRFR--Example application," Agricultural Water Management, Elsevier, vol. 96(7), pages 1162-1169, July.
    9. Akbari, Mahmood & Gheysari, Mahdi & Mostafazadeh-Fard, Behrouz & Shayannejad, Mohammad, 2018. "Surface irrigation simulation-optimization model based on meta-heuristic algorithms," Agricultural Water Management, Elsevier, vol. 201(C), pages 46-57.
    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. Pazouki, Ehsan, 2021. "A practical surface irrigation design based on fuzzy logic and meta-heuristic algorithms," Agricultural Water Management, Elsevier, vol. 256(C).
    2. Pazouki, Ehsan, 2021. "A practical surface irrigation system design based on volume balance model and multi-objective evolutionary optimization algorithms," Agricultural Water Management, Elsevier, vol. 248(C).
    3. Costabile, Pierfranco & Costanzo, Carmelina & Gangi, Fabiola & De Gaetani, Carlo Iapige & Rossi, Lorenzo & Gandolfi, Claudio & Masseroni, Daniele, 2023. "High-resolution 2D modelling for simulating and improving the management of border irrigation," Agricultural Water Management, Elsevier, vol. 275(C).
    4. Mazarei, Reza & Soltani Mohammadi, Amir & Ebrahimian, Hamed & Naseri, Abd Ali, 2021. "Temporal variability of infiltration and roughness coefficients and furrow irrigation performance under different inflow rates," Agricultural Water Management, Elsevier, vol. 245(C).
    5. 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).
    6. Mehri, Akbar & Mohammadi, Amir Soltani & Ebrahimian, Hamed & Boroomandnasab, Saeid, 2023. "Evaluation and optimization of surge and alternate furrow irrigation performance in maize fields using the WinSRFR software," Agricultural Water Management, Elsevier, vol. 276(C).
    7. Mohamed Khaled Salahou & Xiyun Jiao & Haishen Lü & Weihua Guo, 2020. "An improved approach to estimating the infiltration characteristics in surface irrigation systems," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-16, June.
    8. Nie, Wei-Bo & Li, Yi-Bo & Zhang, Fan & Ma, Xiao-Yi, 2019. "Optimal discharge for closed-end border irrigation under soil infiltration variability," Agricultural Water Management, Elsevier, vol. 221(C), pages 58-65.
    9. Xu, Jiatun & Cai, Huanjie & Saddique, Qaisar & Wang, Xiaoyun & Li, Liang & Ma, Chenguang & Lu, Yajun, 2019. "Evaluation and optimization of border irrigation in different irrigation seasons based on temporal variation of infiltration and roughness," Agricultural Water Management, Elsevier, vol. 214(C), pages 64-77.
    10. Mazarei, Reza & Mohammadi, Amir Soltani & Naseri, Abd Ali & Ebrahimian, Hamed & Izadpanah, Zahra, 2020. "Optimization of furrow irrigation performance of sugarcane fields based on inflow and geometric parameters using WinSRFR in Southwest of Iran," Agricultural Water Management, Elsevier, vol. 228(C).
    11. Fadul, E. & Masih, I. & De Fraiture, C. & Suryadi, F.X., 2020. "Irrigation performance under alternative field designs in a spate irrigation system with large field dimensions," Agricultural Water Management, Elsevier, vol. 231(C).
    12. Morris, Michael R. & Hussain, Amjed & Gillies, Malcolm H. & O’Halloran, Nicholas J., 2015. "Inflow rate and border irrigation performance," Agricultural Water Management, Elsevier, vol. 155(C), pages 76-86.
    13. Kaihua Liu & Xiyun Jiao & Weihua Guo & Yunhao An & Mohamed Khaled Salahou, 2020. "Improving border irrigation performance with predesigned varied-discharge," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-12, May.
    14. Salahou, Mohamed Khaled & Jiao, Xiyun & Lü, Haishen, 2018. "Border irrigation performance with distance-based cut-off," Agricultural Water Management, Elsevier, vol. 201(C), pages 27-37.
    15. Akbari, Mahmood & Gheysari, Mahdi & Mostafazadeh-Fard, Behrouz & Shayannejad, Mohammad, 2018. "Surface irrigation simulation-optimization model based on meta-heuristic algorithms," Agricultural Water Management, Elsevier, vol. 201(C), pages 46-57.
    16. Jovanovic, N. & Pereira, L.S. & Paredes, P. & Pôças, I. & Cantore, V. & Todorovic, M., 2020. "A review of strategies, methods and technologies to reduce non-beneficial consumptive water use on farms considering the FAO56 methods," Agricultural Water Management, Elsevier, vol. 239(C).
    17. Sebastián Fuentes & Carlos Fuentes & Heber Saucedo & Carlos Chávez, 2022. "Border Irrigation Modeling with the Barré de Saint-Venant and Green and Ampt Equations," Mathematics, MDPI, vol. 10(7), pages 1-12, March.
    18. Ebrahimian, Hamed & Ghaffari, Parisa & Ghameshlou, Arezoo N. & Tabatabaei, Sayyed-Hassan & Alizadeh Dizaj, Amin, 2020. "Extensive comparison of various infiltration estimation methods for furrow irrigation under different field conditions," Agricultural Water Management, Elsevier, vol. 230(C).
    19. Smith, RJ & Uddin, MJ, 2020. "Selection of flow rate and irrigation duration for high performance bay irrigation," Agricultural Water Management, Elsevier, vol. 228(C).
    20. Liu, Minguo & Wang, Zikui & Mu, Le & Xu, Rui & Yang, Huimin, 2021. "Effect of regulated deficit irrigation on alfalfa performance under two irrigation systems in the inland arid area of midwestern China," Agricultural Water Management, Elsevier, vol. 248(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:275:y:2023:i:c:s0378377422005935. 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.