Water Resources Management

, Volume 23, Issue 14, pp 2841–2866 | Cite as

GIS-Integrated Rice Irrigation Management Information System for a River-Fed Scheme

  • M. K. Rowshon
  • M. S. M. Amin
  • T. S. Lee
  • A. R. M. Shariff


The Tanjung Karang Irrigation Scheme is one of the large rice granaries in Malaysia. Irrigation management for rice irrigation is difficult because of different planting schedules, variability in soil and crop conditions and unreliable intake of water in the main canal due to the absence of storage reservoir and their uneven distribution to tertiary canals. In view of this concern, the scheme needs the daily estimation of the available water for irrigation and its equitable allocation among tertiary canals to cater trade-offs in water use for the scheme. Easy access of these spatially and temporally distributed data helps to make management system simpler. A GIS-integrated tool known as RIMIS was developed for equitable irrigation supply to tertiary canals and the characterization of their irrigation delivery performance as the season advances. RIMIS dynamically links a field irrigation demand prediction model for the area irrigated by a canal network in GIS. The system can correctly simulate and evaluate recommended irrigation supplies among tertiary canals that match the available discharge at the system head with the crop water demand for the actual field conditions. The user-interface was developed using ArcObjects and Visual Basic for Application (VBA) programming languages in ArcGIS software. RIMIS can give information on the uniformity of water distribution and the shortfall or excess and what decisions to adopt for the next day. It ensures equal sharing of water for the tail-end users. The system helps to keep input and output databases always updated with respect to the real field conditions. The results are displayed on the computer screen together with colour-coded maps, graphs and tables in a comprehensible form. This will help irrigation managers to enhance decision-making in the management and operation of the irrigation system. The development of the overall system and procedures is illustrated with data from a study area.


Irrigation supply Performance characterization Tertiary canals Rice GIS 


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  1. Allen RG, Jensen ME, Wright JL, Burman RD (1989) Operational estimates of reference evapotranspiration. Agron J 81(4):650–662CrossRefGoogle Scholar
  2. Allen RG, Pereira LS, Dirk R, Martin S (1998) Crop evapotranspiration: guidelines for computing crop water requirements. In: FAO Irrigation and Drainage Paper, no 56. RomeGoogle Scholar
  3. Ali MH, Lee TS (2008) Potential evapotranspiration model for Muda Irrigation Project, Malaysia. Water Resources Management. Accessed 14 November 2008Google Scholar
  4. Ali MH, Lee TS, Yan KC, Eloubaidy AF (2000) Modeling evaporation and evapotranspiration under temperature change in Malaysia. Pertanika J Sci Technol 8(2):191–204Google Scholar
  5. Bastiaanssen WGM, Molden DJ, Thiruvengadachari S, Smit AA, Mutuwatte L, Jayasinghe G (1999) Remote sensing and hydrologic models for performance assessment in Sirsa irrigation circle, India. In: Research Report, vol 27. International Water Management Institute (IWMI), Sri Lanka, p 29Google Scholar
  6. Bhuiyan SI, Satta MA,KhanMAK(1995) Improving water use efficiency in rice through wet seeding. Irrig Sci 16:1–8Google Scholar
  7. Chan CS, Cheong AW (2001) Seasonal weather effects on crop evapotranspiration and rice yield. J Trop Agric Food Sci 29(1):77–92Google Scholar
  8. De Datta SK (1981) Water management practices for rice. Principles and practices of rice production. Wiley, New York, p 392Google Scholar
  9. Fangmeier DD, Garrot DJ, Mancino CF, Husman SH (1990) Automated irrigation systems using plant and soil sensors. In: Proceedings of the third national irrigation symposium on visions of the future, ASAE. St. Joseph, MIGoogle Scholar
  10. George BA, Shende SA, Raghuwanshi NS (2000) Development and testing of an irrigation scheduling model. Agric Water Manage 46:121–136. doi:10.1016/S0378-3774(00)00083-4 CrossRefGoogle Scholar
  11. Hassan SMH (2005) Estimation of rice evapotranspiration in paddy fields using remote sensing and field measurements. PhD thesis, Universiti Putra Malaysia, p 212Google Scholar
  12. Herrero J, Casterad MA (1999) Using satellite and other data to estimate the annual water demand of an irrigation district. Environ Monit Assess 55:305–317. doi:10.1023/A:1005999010802 CrossRefGoogle Scholar
  13. IRRI (1977) Annual report for 1977. International Rice Research Institute, Los Banos, PhilippinesGoogle Scholar
  14. Jensen ME, Burman RD, Allen RG (1990) Evapotranspiration and irrigation water requirements. ASCE Manuals and Reports on Engineering Practice, no 70. ASCE Press, New YorkGoogle Scholar
  15. JICA (1998) The study on modernization of irrigationwater management system in the granary area of peninsular Malaysia. Draft Final Report, vol II. Annexes, March 1998, Japan International Cooperation AgencyGoogle Scholar
  16. Knox JW, Weatherhead EK (1999) The application of GIS to irrigation water resources management in England and Wales. Geogr J 165(1):90–98. doi:10.2307/3060513 CrossRefGoogle Scholar
  17. Knox JW, Weatherhead EK, Bradley RI (1996) Mapping the spatial distribution of olumetric irrigation water requirements for main-crop potatoes in England and Wales. Agric Water Manage 31:1–15. doi:10.1016/0378-3774(96)01238-3 CrossRefGoogle Scholar
  18. Knox JW, Weatherhead EK, Bradley RI (1997) Mapping the total volumetric irrigation water requirements in England and Wales. Agric Water Manage 33:1–18. doi:10.1016/S0378-3774(96)01285-1 CrossRefGoogle Scholar
  19. Maidment DR (1993) GIS and hydrologic modeling. Environmental modeling with GIS. Oxford University Press, Oxford, pp 147–167Google Scholar
  20. Mishra A, Anand A, Singh R, Raghuwanshi NS (2001) Hydraulic modeling of Kangsabati main canal for performance assessment. J Irrig Drain Eng 127:27–34. doi:10.1061/(ASCE)0733-9437(2001)127:1(27) CrossRefGoogle Scholar
  21. Pervej MS, Hoque MA (2002) Interactive information system for irrigation management. http://www.codata.org/codata02/. Accessed 14 September 2008
  22. Plusquellec H, Burt C, Wolter HW (1994) Modern water control in irrigation. World Bank Technical Paper, no 246. Irrigation and Drainage Series, Washington, DCGoogle Scholar
  23. Roerink GJ, Bastiaansen WGM, Chambouleyron, Menenti M (1997) Relating crop water consumption to irrigation water supply by remote sensing. Water Resour Manage 11:445–465. doi:10.1023/A:1007982411718 CrossRefGoogle Scholar
  24. Rowshon MK, Amin MSM, Hassan SMH, Shariff ARM, Lee TS (2006) New performance indicators for rice-based irrigation systems. Paddy Water Environ 4:71–79. doi:10.1007/s10333-006-0034-x CrossRefGoogle Scholar
  25. Sakthivadivel R, Thiruvengadachari S, Amarasinghe U, Bastiaanssen WGM, Molden DJ (1999) Performance evaluation of the Bhakra Irrigation System using remote sensing and GIS techniques. Research Report, vol 28. IWMI, Sri Lanka, p 22Google Scholar
  26. Thiruvengadachari S (1997) GIS applications for improved water distribution and farm productivity: a case study on Bhakra Canal Command Area, India. IIMI, pp 1–64Google Scholar
  27. Tsihrintzis VA, Hamid R, Fuentes HR (1996) Use of geographic information systems (GIS) in water resources: a review. Water Resour Manage 10:251–257. doi:10.1007/BF00508896 CrossRefGoogle Scholar
  28. Weatherhead EK, Knox JW (1999) Predicting and mapping the future demand for irrigation water in England and Wales. Agric Water Manage 43:203–218. doi:10.1016/S0378-3774(99)00058-X CrossRefGoogle Scholar
  29. Wright JL (1982) New evapotranspiration crop coefficients. J Irrigat Drain Div ASCE 108(IR2):57–74Google Scholar

Copyright information

© Springer Science+Business Media B.V. 2009

Authors and Affiliations

  • M. K. Rowshon
    • 1
  • M. S. M. Amin
    • 1
  • T. S. Lee
    • 1
  • A. R. M. Shariff
    • 1
  1. 1.Department of Biological and Agricultural Engineering, Faculty of EngineeringUniversiti Putra Malaysia (UPM)SerdangMalaysia

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