IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v98y2011i10p1516-1522.html
   My bibliography  Save this article

Basin irrigation design with longitudinal slope

Author

Listed:
  • González, César
  • Cervera, Luis
  • Moret-Fernández, David

Abstract

The aims of this paper are to analyze theoretically the influence of the longitudinal slope of a surface irrigation field on the uniformity of irrigation and to provide practical tools to design, analyze and manage surface irrigation systems with longitudinal slope and blocked end. An example is shown where a 20% savings in water is obtained by giving the field the optimal slope. In 1982, Clemmens and Dedrick published a practical set of dimensionless graphs to level-basin design and analysis (with no slope). This article generalizes those graphs taking account the existence of field slope. So, Clemmens and Dedrick's graphs are a particular case of obtained results. The analysis is based on solving one-dimensional free surface Saint-Venant equations including infiltration, applying the dimensional analysis to reduce the number of variables involved. Saint-Venant equations are solved with the finite differences method, applying the full hydrodynamic model and the zero-inertia model. Two computer programs are used: WinSRFR and POZAL (a specific software that calculates the optimal cutoff time). The result is a set of three-dimensional graphs that show the relationships of field slope, irrigation uniformity and the rest of the involved dimensionless variables, related to infiltration parameters, Manning roughness coefficient, cutoff time, inflow rate and field length and width. The graphs could be useful in practice to determine the optimal slope of a field, the inflow rate or the length and width of a field, achieving substantial savings of water in surface irrigation.

Suggested Citation

  • González, César & Cervera, Luis & Moret-Fernández, David, 2011. "Basin irrigation design with longitudinal slope," Agricultural Water Management, Elsevier, vol. 98(10), pages 1516-1522, August.
  • Handle: RePEc:eee:agiwat:v:98:y:2011:i:10:p:1516-1522
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377411001132
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Playan, E. & Faci, J. M. & Serreta, A., 1996. "Characterizing microtopographical effects on level-basin irrigation performance," Agricultural Water Management, Elsevier, vol. 29(2), pages 129-145, January.
    2. 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.
    3. Dholakia, Mrugen & Misra, Rajeev & Zaman, M. S., 1998. "Simulation of border irrigation system using explicit MacCormack finite difference method," Agricultural Water Management, Elsevier, vol. 36(3), pages 181-200, April.
    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. 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.
    2. 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).
    3. Devkota, Krishna Prasad & Yadav, Sudhir & Humphreys, E. & Kumar, Akhilesh & Kumar, Pankaj & Kumar, Virender & Malik, R.K. & Srivastava, Amit K., 2021. "Land gradient and configuration effects on yield, irrigation amount and irrigation water productivity in rice-wheat and maize-wheat cropping systems in Eastern India," Agricultural Water Management, Elsevier, vol. 255(C).
    4. 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.
    5. 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.

    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. 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).
    2. Devkota, Krishna Prasad & Yadav, Sudhir & Humphreys, E. & Kumar, Akhilesh & Kumar, Pankaj & Kumar, Virender & Malik, R.K. & Srivastava, Amit K., 2021. "Land gradient and configuration effects on yield, irrigation amount and irrigation water productivity in rice-wheat and maize-wheat cropping systems in Eastern India," Agricultural Water Management, Elsevier, vol. 255(C).
    3. 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.
    4. 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.
    5. Pazouki, Ehsan, 2021. "A practical surface irrigation design based on fuzzy logic and meta-heuristic algorithms," Agricultural Water Management, Elsevier, vol. 256(C).
    6. 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).
    7. 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).
    8. 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).
    9. 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.
    10. Lecina, S. & Playan, E. & Isidoro, D. & Dechmi, F. & Causape, J. & Faci, J.M., 2005. "Irrigation evaluation and simulation at the Irrigation District V of Bardenas (Spain)," Agricultural Water Management, Elsevier, vol. 73(3), pages 223-245, May.
    11. 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).
    12. Khanna, Manoj & Malano, Hector M., 2006. "Modelling of basin irrigation systems: A review," Agricultural Water Management, Elsevier, vol. 83(1-2), pages 87-99, May.
    13. Samad Emamgholizadeh & Amin Seyedzadeh & Hadi Sanikhani & Eisa Maroufpoor & Gholamhosein Karami, 2022. "Numerical and artificial intelligence models for predicting the water advance in border irrigation," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(1), pages 558-575, January.
    14. Hunsaker, D.J. & French, A.N. & Waller, P.M. & Bautista, E. & Thorp, K.R. & Bronson, K.F. & Andrade-Sanchez, P., 2015. "Comparison of traditional and ET-based irrigation scheduling of surface-irrigated cotton in the arid southwestern USA," Agricultural Water Management, Elsevier, vol. 159(C), pages 209-224.
    15. 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.
    16. 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).
    17. Qingfeng Miao & José M. Gonçalves & Ruiping Li & Diana Gonçalves & Tiago Levita & Haibin Shi, 2021. "Assessment of Precise Land Levelling on Surface Irrigation Development. Impacts on Maize Water Productivity and Economics," Sustainability, MDPI, vol. 13(3), pages 1-20, January.
    18. Mohammadi, Adel & Besharat, Sina & Abbasi, Fariborz, 2019. "Effects of irrigation and fertilization management on reducing nitrogen losses and increasing corn yield under furrow irrigation," Agricultural Water Management, Elsevier, vol. 213(C), pages 1116-1129.
    19. D. Pantelakis & Th. Zissis & E. Anastasiadou-Partheniou & E. Baltas, 2012. "Numerical Models for the Simulation of Overland Flow in Fields Within Surface Irrigation Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(5), pages 1217-1229, March.
    20. 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.

    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:98:y:2011:i:10:p:1516-1522. 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.