Optimization of equitable irrigation water delivery for a large-scale rice irrigation scheme

Authors

  • Md Rowshon Kamal Department of Biological and Agricultural Engineering, Faculty of Engineering, Universiti Putra Malaysia (UPM), UPM Serdang 43400, Selangor DE, Malaysia
  • Muhammad Iqbal Department of Agricultural Engineering and Technology, Faculty of Agricultural Sciences, Ghazi University, Dera Ghazi Khan, Pakistan
  • Md Abdul Mojid Department of Irrigation and Water Management, Faculty of Agricultural Engineering and Technology, Bangladesh Agricultural University, Mymensingh 2202, Bangladesh
  • Mohd Amin Mohd Amin Faculty of Sustainable Agriculture, Universiti Malaysia Sabah (UMS), Jalan UMS, Kota Kinabalu 88400, Sabah, Malaysia
  • Lai Sai Hin Department of Civil Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia

Keywords:

irrigation, optimization, simulation, equitable deliveries, rice

Abstract

Equitable water allocation is essential in an irrigation scheme for obtaining potential crop yields from the entire scheme, especially when water supply is inadequate. An optimization model achieved this goal by coupling an optimal water allocation model with available water supply and irrigation water demand for a river-fed rice irrigation system in Malaysia. This model consists of a paddy field water balance module and an optimization module. The outputs from the module are daily irrigation demand and surface runoff, if there is any. The optimization module consists of an objective function, which minimizes water shortage across the scheme area while maintaining equity in water allocation. This model performs optimization subject to several system constraints, and the decision variable of the model is daily releases or supply to the tertiary canals. Performance of this model remained unaffected under different water supply conditions, and the optimization model reliably examined the effects of alternate water allocation and management rules with field information. It improves efficiency and equity in water allocation with respect to crop growth stages and water shortages rather than simply cutting irrigation supply on a proportional basis to overcome water shortages. Keywords: irrigation, optimization, simulation, equitable deliveries, rice DOI: 10.25165/j.ijabe.20181105.3536 Citation: Rowshon M K, Iqbal M, Mojid M A, Amin M S M, Lai S H. Optimization of equitable irrigation water delivery for a large-scale rice irrigation scheme. Int J Agric & Biol Eng, 2018; 11(5): 160–166.

References

[1] Wassmann R, Sumfleth K, Pathak H, Howell G, Ismail A, Serraj E. Regional vulnerability of regional climate change impacts on Asian rice production and scope for adaptation. Advances in Agronomy, 2014; 102: 91–133.
[2] International Water Management Institute, IWMI. Strategy 20140-2018: Solution for water secured world. Annual Report, Colombo, Sri Lanka, 2014.
[3] Panda S N, Khepar S D, Kaushal, M P. Stochastic irrigation planning: An application of chance constrained linear programming. Journal of Agricultural Engineering, 1985; 93105.
[4] Paul S, Panda S N, Kumar D N. Optimal irrigation allocation: A multilevel approach. Journal of Irrigation and Drainage Engineering, 2000; 126(3): 149156.
[5] Development of an integrated hydrological-irrigation optimization modeling system for a typical rice irrigation scheme in Central Vietnam. Agricultural Water Management, 2018; 208: 193-203.
[6] Kanooni A, Monem M J. Integrated stepwise approach for optimal water allocation in irrigation canals. Irrigation and Drainage, 2014; 63(1): 1221.
[7] Monem M J, Namdarian R. Application of simulated annealing (SA) techniques for optimal water distribution in irrigation canals. Irrigation and Drainage, 2005; 54(4): 365373.
[8] Georgiou P E, Papamichail D M, Vougioukas S G. Optimal irrigation reservoir operation and simultaneous multi-crop cultivation area selection using simulated annealing, Irrigation and Drainage, 2006; 55(2): 129144.
[9] Wang J X, Huang Z J, Rozelle S. Incentives in water management reform: assessing the effect on water use, production, and poverty in the Yellow River Basin. Environment and Development Economics, 2005; 10: 769799.
[10] Reklaitis G V, Ravindran A, Ragsdell K M. Engineering optimization method and application. Wiley, New York, 1983.
[11] Wardlaw R, Barnes J. Optimal allocation of irrigation water supplies in real time. Journal of Irrigation and Drainage Engineering, 1999; 125(6): 345354.
[12] Allen R G, Pereira L S, Raes D, Smith M. Crop evapotranspiration- guidelines for computing crop water requirements-FAO Irrigation and drainage. FAO, Rome, 300, 6541, 1998; 56.
[13] JICA (Japanese International Corporation Agency). The study on modernization of irrigation water management system in the granary areas of Peninsular Malaysia. Nippon Koei Co., Ltd; 1998.
[14] Rowshon M K, Amin M S M, Hassan S M H, Shariff A R M, Lee T S. New performance indicators for rice-based irrigation systems. Paddy and Water Environment, 2006; 4(2): 71–79.

Downloads

Published

2018-09-29

How to Cite

Kamal, M. R., Iqbal, M., Mojid, M. A., Amin, M. A. M., & Hin, L. S. (2018). Optimization of equitable irrigation water delivery for a large-scale rice irrigation scheme. International Journal of Agricultural and Biological Engineering, 11(5), 160–166. Retrieved from https://ijabe.migration.pkpps03.publicknowledgeproject.org/index.php/ijabe/article/view/3536

Issue

Section

Natural Resources and Environmental Systems