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Technical Communication: Two-Phase Stochastic Dynamic Programming Model for Optimal Operation of Irrigation Reservoir

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  • N. Umamahesh
  • P. Sreenivasulu

Abstract

A two-phase stochastic dynamic programming model is developed for optimal operation of irrigation reservoirs under a multicrop environment. Under a multicrop environment, the crops compete for the available water whenever the water available is less than the irrigation demands. The performance of the reservoir depends on how the deficit is allocated among the competing crops. The proposed model integrates reservoir release decisions with water allocation decisions. The water requirements of crops vary from period to period and are determined from the soil moisture balance equation taking into consideration the contribution of soil moisture and rainfall for the water requirements of the crops. The model is demonstrated over an existing reservoir and the performance of the reservoir under the operating policy derived using the model is evaluated through simulation. Copyright Kluwer Academic Publishers 1997

Suggested Citation

  • N. Umamahesh & P. Sreenivasulu, 1997. "Technical Communication: Two-Phase Stochastic Dynamic Programming Model for Optimal Operation of Irrigation Reservoir," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 11(5), pages 395-406, October.
    • Handle: RePEc:spr:waterr:v:11:y:1997:i:5:p:395-406
    DOI: 10.1023/A:1007914019102
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    References listed on IDEAS

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    1. Oscar R. Burt & M. S. Stauber, 1971. "Economic Analysis of Irrigation in Subhumid Climate," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 53(1), pages 33-46.
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    Cited by:

    1. Tran, Lap Doc & Schilizzi, Steven & Chalak, Morteza & Kingwell, Ross, 2011. "Optimizing competitive uses of water for irrigation and fisheries," Agricultural Water Management, Elsevier, vol. 101(1), pages 42-51.
    2. H. X. Phu & H. G. Bock, 2013. "A Common Regularization for Three Reservoir Optimal Control Problems," Journal of Optimization Theory and Applications, Springer, vol. 157(1), pages 199-228, April.
    3. Seyed-Mohammad Hosseini-Moghari & Reza Morovati & Mohammad Moghadas & Shahab Araghinejad, 2015. "Optimum Operation of Reservoir Using Two Evolutionary Algorithms: Imperialist Competitive Algorithm (ICA) and Cuckoo Optimization Algorithm (COA)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(10), pages 3749-3769, August.
    4. Yousaf Muhammad & Georg Pflug, 2014. "Stochastic vs deterministic programming in water management: the value of flexibility," Annals of Operations Research, Springer, vol. 223(1), pages 309-328, December.
    5. Li Chuangang & Ji Changming & Wang Boquan & Liu Minghao & Li Rongbo, 2017. "The Hydropower Station Output Function and its Application in Reservoir Operation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(1), pages 159-172, January.

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