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Summer Sport Camp at State University
14th MANCO

Linear Programming Approach for Irrigation Scheduling – A case
Study
H. MD. AZAMATHULLA, Senior Lecturer, River Engineering and Urban Drainage Research Centre
(REDAC), Universiti Sains Malaysia, Engineering Campus, 14300 Nibong Tebal, Pulau Pinang, Malaysia; email: redacazamath@eng.usm.my, mdazmath@gmail.com (author for correspondence)
AMINUDDIN AB GHANI, Professor, REDAC, Universiti Sains Malaysia, email: redac02@eng.usm.my
NOR AZAZI ZAKARIA, Professor, REDAC, Universiti Sains Malaysia, email: redac01@eng.usm.my
CHANG CHUN KIAT, Science Officer, REDAC, Universiti Sains Malaysia, email: redac10@eng.usm.my

Abstract
There is an increasing awareness among irrigation planners and engineers to design and operate reservoir systems for maximum efficiency to maximize their benefits. Accordingly, significant work has been done on reservoir operation for known total irrigation demand and on the optimal allocation of water available to crops at the farm level.Very few studies have been conducted to derive optimal reservoir operation policies integrating the reservoir operation with the on-farm utilisation of water by the various crops. This present paper deals with the development of model -- Linear Programming (LP) -- to be applied to real-time reservoir operation in an existing Chiller reservoir system in Madhya Pradesh, India.
Keywords: Cropping pattern, Water resource management, Irrigation management, Optimization

1.

Introduction

In most developing countries, a huge share of the limited budget goes to creating facilities for irrigation.
Construction of reservoirs requires very high investment and also causes socioeconomic and environmental issues. Water in the reservoir has multiple claimants and needs to be optimally utilized to generate maximum benefits through proper operation, which must remain consistent despite uncertain future inflows and demands.
According to the World Commission on Dams, many large storage projects



References: Doorenbos, J., and Kassam, A.H. (1979). Yield Response to Water. Irrigation and Drainage Paper, 33, FAO, Rome. Dudley, N.J., Howell, D.T., and Musgrave, W.F. (1971). Optimal intraseasonal irrigation water allocation. Dudley, N.J. and Burt O.R (1973). Stochastic reservoir Management and system design for irrigation, Water Resources Res Duldley, N J. (1988). A single decision-maker approach to irrigation reservoir and farm management decision making, Water Resources Res., 24(5) 633-640. Dudley, N.J. and Musgrave, W.F. (1993). Economics of water allocation under certain conditions. In Biswas, A.K.; et al., ed Fedders, R.A., Kowalic, P.S. and Zarandy, H., (1978). Simulation of field water use and crop yield. Centre for Agricultural Publishing and Documentation, Wganingen. Haan, C T. (1977). Statistics methods in hydrology, Iowa State Press, Iowa. Hajilala, M.S., Rao, N. H and Sarma, P. B .S. (1998). Real time operation of reservoir based canal irrigation systems, Agricultural Water Management, 38, 103-122. Holland, J. H., (1975). Adaptation in natural and artificial systems, University of Michigan Press, Cambridge Mass. Labadie, J.W. (2004). Optimal operation of multi reservoir systems: State-of-the-art review, J. Water Resour Mohan, S., Raman, S., and Premganesh, G., (1991). Real-time reservoir operation. IWRS, 11(1), pp.35-37. Mujumdar, P. P., and Sandeep Narulkar., (1993). Optimisation models for multireservoir planning and operation", Hydrology Review, Vol resources research, Vol. 33, No 5, 1157-1164. Narulkar, S.M. (1995). Optimum real-time operation of multi reservoir systems for Irrigation scheduling. Rao, N. H., (1987). Field test for a simple soil-water balance model for irrigated areas. J. of Hydrology, 91, 179-186. Rao, N.H., Sarma, P.B.S. and Chander, S. (1988). Irrigation scheduling under a limited water supply. Agri. Rao, N.H., Sarama, P.B.S., and Chander, S. (1990). optimal multicrop allocations of seasonal and interseasonal irrigation water Reddy, J.M. and Nagesh Kumar, D. (2006). Optimal reservoir operation using multi-objective evolutionary algorithm, Water Resources Management, Springer, 20, No Reddy, J.M. and Nagesh Kumar, D. (2007). Optimal reservoir operation for irrigation of multiple crops using elitist-mutated particle swarm optimization, Hydrological Sciences Journal, IAHS Press, UK, Vol. Shie-Yui L., Al-Fayyaz T.A., and Sai L.K. (2004). Application of evolutionary algorithms in reservoir operations, Journal of the Institution of Engineers, Singapore, 44(1), 39-54. Vedula, S. and Mujumdar, P.P. (1992). Optimal Reservoir Operation for Irrigation of Multiple Crops. Vedula, S. and Mujumdar, P.P. (1993). Modelling for Reservoir Operation for Irrigation. Proceedings of Intl Conf Vedula, S. and Nagesh Kumar, D. (1996). An integrated model for optimal reservoir operation for irrigation of multiple crops, Water Resources Research, American Geophysical Union, 32, (4), 1101-1108. Wurbs, R.A. (1993). Reservoir system simulation and optimization models. J. Water Resource Manage. Yeh, W.W.G. (1985). Reservoir management and operation models: A State of the Art Review, Water Resour

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