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Field evaluation of various mathematical models for furrow and border irrigation systems

Author

Listed:
  • Hamed EBRAHIMIAN

    (Deptartment of Irrigation and Reclamation Engineering., University College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran)

  • Abdolmajid LIAGHAT

    (Deptartment of Irrigation and Reclamation Engineering., University College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran)

Abstract

In this study, three mathematical models in the SIRMOD package including the hydrodynamic (HD), zero inertia (ZI), and kinematic wave (KW) models were tested using the data from several field experiments for both border and furrow irrigation systems. Five data sets for borders and seven data sets for furrows were used in this assessment. The results indicated that the performance of all models was satisfactory for the prediction of the advance and recession times. There was no difference in the prediction of the advance and recession times and infiltrated and runoff volumes between the hydrodynamic and zero-inertia approaches of the SIRMOD software. The HD, ZI, and KW models predicted the recession times better than the advance times for both the experimental borders and furrows. The predicted advance and recession times were estimated by these models more accurately than the infiltrated and runoff volumes. Also the accuracy of these models for the prediction of the advance and recession times was better for the experimental furrows in comparison with the experimental borders.

Suggested Citation

  • Hamed EBRAHIMIAN & Abdolmajid LIAGHAT, 2011. "Field evaluation of various mathematical models for furrow and border irrigation systems," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 6(2), pages 91-101.
  • Handle: RePEc:caa:jnlswr:v:6:y:2011:i:2:id:34-2010-swr
    DOI: 10.17221/34/2010-SWR
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    Cited by:

    1. Martin POLÁK & Lukáš DLABAL, 2015. "Operating characteristics of a bladeless turbine for irrigation purposes," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 10(4), pages 278-283.

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