Abstract

Land leveling or land grading of surface irrigated fields improve irrigation water distribution and application efficiencies, conserve water and increases crop productivity. Land formation for irrigation face many constraints (ensuring proper slopes, prevention of flood, ensuring canal water command over the field, optimizing earthwork, minimizing truck travel distances, proper equipment utilization). Design engineers traditionally, perform site formation design manually by plane shape, least squire or linear programming methods. Such methods are with different characteristics. The main objective this study is to select and compare performance of these three design methods for proper land leveling design. Consequently, the basic theory of these alternative design methods are reviewed and their performance using data surveyed from five fields in Khartoum North-Sudan, each with different soil surface topographic configurations, is analyzed. The statistical analysis revealed that the linear programming method is the most appropriate design method. Employing the linear programming design method revealed that design slopes in row and cross row directions are within the acceptable range (0.1 to 0.5, the ratio of Cut/fill volumes is within the recommended range (1.1 to 1.3), uniformity of distribution of design elevations of grid points are acceptable and within the target limits (80%), while their deviation is at 80% of grid points around the mean before leveling.

Keywords

Land leveling design, Profile method, Plane shape, Linear programming,

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References

  1. SCS-USDA (2011). Conservation Practice Standard for Irrigation Land Leveling (Acre), Code 464, USDA -Natural Resources Conservation Service, Temple, TX, March 2011.
  2. Singh, R.P., Faour, K.Y., Mullen, J.D. and Jayasuriya, R. (2003), Farming Systems in the Murrum bidgee Irrigation Area in NSW, Economic Research Report No. 10, NSW Agriculture, Yanco.
  3. J.F. Rickman, (2002). Manual for laser land leveling, Rice-Wheat Consortium Technical Bulletin Series 5. New Delhi-110 012, India: Rice-Wheat Consortium for the Indo-Gangetic Plains. p. 24.
  4. W.R. Walker, 1989. Guideline for Designing and Evaluating Surface Irrigation Systems. Irrigation and Drainage paper No. 45. FAO publishing. Roma.
  5. ASAE American Society of Agricultural Engineers, (1998). Design and Construction of Surface Drainage Systems on Agricultural Lands in Humid Areas," ASAE Standards, (1998), Standards Engineering Practices Data, ANSI/ASAE EP 302.4, pp. 812-819.
  6. E.J. Scaloppi, and L.S. Willardson, Practical Land Grading Based on Least Squares, J. of Irrigation and Drainage Eng, ASCE, 112(2) (1986) 98-109. https://doi.org/10.1061/(ASCE)0733-9437(1986)112:2(98)
  7. R.S. Sowell, S.F. Shih, and G.J. Kriz, Land Forming Design by Linear Programming, Transactions of the ASAE, 16(2) (1973) 296-301.
  8. H. Osari, A new method for assessing land leveling to produce high quality consolidated paddy fields, Paddy and Water Environment, 1 (2003) 35–41 https://doi.org/10.1007/s10333-002-0005-9
  9. D. Chaudhuri, S.K. Mathankar, V.V. Singh, and N.A. Shirsat, (2005), Performance evaluation of laser guided land leveler for land grading in vertisols of central India. Paper presented in the 39th annual convention of ISAE held at Acharya N. G. Ranga Agricultural University, Hyderabad during 9-11, March, 2005.
  10. M. Bai, D. Xu, Y. Li, S. Zhang, S. Liu, Coupled impact of spatial variability of infiltration and microtopography on basin irrigation performances, Irrigation Science, 35 (2017) 437–449. https://doi.org/10.1007/s00271-017-0550-z
  11. M.A. Aiad, and A.M. Azza, Impact of land leveling and cut-off irrigation on cotton yield and water productivity in north middle Nile delta region, Menoufia Journal of Plant Production, 5 (2020) 479 – 493
  12. Y. Ayranci, and K.E. Temizel, Volume equalization method for land grading design: Uniform sloped grading in one direction in rectangular fields, African Journal of Biotechnology, 10(21) (2011) 4412-4419.
  13. A.K. Ramirez, and D.J. Eaton, (2012) Statistical Testing for Precision Graded Verification, a report from the University of Texas at Austin to the Lower Colorado River Authority, Austin, TX, September, 2012.
  14. T. Rapcsak, 1983. A linear programming model for optimal leveling of an irrigation surface. European Journal of Operational Research, 45(12) (1994) 1418-1424. https://doi.org/10.2307/2583935
  15. B. Anuraja, P.S. Kanannavar, P. Balakrishnan, B.T. Pujari, and M.B Hadimani, Laser guided land leveler for precision land development, Karnataka Journal of Agricultural Sciences, 26 (2) (2013) 271-275.
  16. W.R. Walker, and G.V. Skogerboe. (1987). Surface Irrigation Theory and Practice. Englewood Cliffs, N.J.: Prentice Hall.