Optimum Design and Management of Pressurized Branched Irrigation Networks
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VIEW THE REPLYPublication: Journal of Irrigation and Drainage Engineering
Volume 133, Issue 6
Abstract
The scarcity of water resources is the driving force behind modernizing irrigation systems in order to guarantee equal rights to all beneficiaries and to save water. Traditional distribution systems have the common shortcoming that water must be distributed through some rotational criteria. This type of distribution is necessary to spread the benefits of scarce resources. Irrigation systems based on on-demand delivery scheduling offer flexibility to farmers and greater potential profit than other types of irrigation schedules. However, in this type of irrigation system, the network design has to be adequate for delivering the demand during the peak period whilst satisfying minimum pressure constraints along with minimum and maximum velocity constraints at the farm delivery points (hydrants) and in the pipes, respectively. In this paper, optimum design and management of pressurized irrigation systems are considered to be based on rotation and on-demand delivery scheduling using a genetic algorithm. Comparison is made between the two scheduling techniques by application to two real irrigation systems. Performance criteria are formulated for the optimum design of a new irrigation system and better management of an existing irrigation system. The design and management problems are highly constrained optimization problems. Special operators are developed for handling the large number of constraints in the representation and fitness evaluation stages of the genetic algorithm. The performance of the developed genetic algorithm is assessed in comparison to traditional optimization techniques. It is shown that the methodology developed performs better than the linear programming method and that solutions generated by the modified genetic algorithm show an improvement in capital cost. The method is also shown to perform better in satisfying the constraints. Comparison between on-demand and rotation delivery scheduling shows that a greater than 50% saving can be achieved in total cost at the cost of reducing flexibility in the irrigation time. Finally, it is shown that minimizing standard deviation of flow in pipes does not result in the best distribution, and therefore minimum cost, neither for systems with uniform flows or those with large variations in discharge at hydrants.
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References
Abadia, R. (2003). “Optimización del diseño y gestión de redes colectivas de distribución de agua para riego por goteo de cultivos leñosos. Aplicación al regadío de Mula (Murcia).” Ph.D. thesis, Miguel Hernandez Univ. of Elche, Spain (in Spanish).
Alandi, P. P., Martin-Benito, J. M. T., Alvarez, J. F. O., and Martinez, M. I. C. (2001). “Design of water distribution networks for on-demand irrigation.” Irrig. Sci., 20(4), 189–201.
Arviza, J., Martinez, F., and Llopis, E. (2003). “Propuesta de una metodología para la distribución óptima de tomas en sectores, en redes de riego a presión con organización por turnos.” XXI Congreso Nacional de Riegos, AERYD, Mérida, Badajoz, Spain (in Spanish).
Cisty, M. (2000). “Advantages of using genetic algorithms over deterministic methods in optimal design of the water networks rehabilitation.” Proc., 15th Conf. on Scientific Computing: ALGORITHMS 2000, Handlovičová et al. eds., SUT, Bratislava, 293–300.
Clement, R. (1966). “Calcul des débits dans les réseaux d’irrigation fonctinnant à la demande.” Houille Blanche, 20(5), 553–575 (in French).
Clement, R., and Galand, A. (1979). “Irrigation par asperion et réseaux collectives de distribution sous pression.” Editions Eyrolles, Paris.
Clemmens, A. J. (1987). “Delivery system schedules and required capacities. Planning, operation, rehabilitation and automation of irrigation water delivery systems.” Proc., Irrigation Division ASCE, Portland, Ore.
Clemmens, A. J., and Bos, M. G. (1990). “Statistical methods for irrigation system water delivery performance evaluation.” Irrigation and drainage systems, Vol. 4, Kluwer Academic, Dordrecht, The Netherlands, 345–365.
Dandy, G. C., and Hassanli, A. M. (1996). “Optimum design and operation of multiple subunit drip irrigation systems.” J. Irrig. Drain. Eng., 122(5), 265–275.
Hassanli, A. M., and Dandy, G. C. (2005). “Optimal layout and hydraulic design of branched networks using genetic algorithms.” Appl. Eng. Agric., 21(1), 55–62.
Labye, Y., Olson, M. A., Galand, A., and Tsiourtis, N. (1988). “Design and optimisation of irrigation distribution networks.” FAO Irrigation and Drainage Paper No. 44. Roma, Italy.
Palmer, J. D., Clemmens, A. J., and Dedrick, A. R. (1991). “Field study on irrigation delivery performance.” J. Irrig. Drain. Eng., 117(4), 567–577.
Pulido-Calvo, I., Roldan, J., Lopez-Luque, R., and Gutierrez-Estrada, J. C. (2003). “Water delivery system planning considering irrigation simultaneity.” J. Irrig. Drain. Eng., 129(4), 247–255.
Kuo, S.-F., Liu, C.-W., and Chen, S.-K. (2003). “Comparative study of optimization techniques for irrigation project planning.” J. Am. Water Resour. Assoc., 39(1), 59–73.
Walters, G. A., and Lohbeck, T. (1993). “Optimal layout of tree networks using genetic algorithms.” Eng. Optimiz., 22(1), 27–48.
Walters, G. A., and Smith, D. K. (1995). “Evolutionary design algorithm for optimal layout of tree networks.” Eng. Optimiz., 24, 261–281.
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© 2007 ASCE.
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Received: Mar 28, 2006
Accepted: Apr 9, 2007
Published online: Dec 1, 2007
Published in print: Dec 2007
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