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Inventory Theory-Based Stochastic Optimization for Reservoir Water Allocation

Author

Listed:
  • Yaowen Xu

    (Northeast Agricultural University
    Northeast Agricultural University)

  • Qiang Fu

    (Northeast Agricultural University
    Northeast Agricultural University)

  • Yan Zhou

    (Northeast Agricultural University
    Northeast Agricultural University)

  • Mo Li

    (Northeast Agricultural University
    Northeast Agricultural University)

  • Yi Ji

    (Northeast Agricultural University
    Northeast Agricultural University)

  • Tianxiao Li

    (Northeast Agricultural University
    Northeast Agricultural University)

Abstract

This study aims to develop an effective model for reservoir water allocation under conditions of uncertainty. To identify a practical method that increases the benefits by optimizing the water allocation policies while reducing the costs by optimizing the water transfer scheme, several stochastic programming models (EOQ-TSP models) were developed by integrating economic order quantity (EOQ) models into a two-stage stochastic programming (TSP) framework. The EOQ-TSP models are advantageous for analyzing the effects of the water inventory scheme on the reservoir water allocation benefits and better at optimizing water allocation policies while also considering uncertainties regarding different flow levels and different water inventory conditions in a water supply-inventory-demand system. Finally, the feasibility of the developed EOQ-TSP models was demonstrated by applying the models to a real-world case study. The results show that the benefits of the optimal water allocation policy will be further increased by optimizing the water transfer scheme, and these proposed models will be helpful for systematizing reservoir water management and identifying optimal reservoir water allocation plans in uncertain environments.

Suggested Citation

  • Yaowen Xu & Qiang Fu & Yan Zhou & Mo Li & Yi Ji & Tianxiao Li, 2019. "Inventory Theory-Based Stochastic Optimization for Reservoir Water Allocation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(11), pages 3873-3898, September.
    • Handle: RePEc:spr:waterr:v:33:y:2019:i:11:d:10.1007_s11269-019-02332-6
    DOI: 10.1007/s11269-019-02332-6
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    References listed on IDEAS

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    Cited by:

    1. Alisson Lopes Rodrigues & Lineu Neiva Rodrigues & Guilherme Fernandes Marques & Pedro Manuel Villa, 2023. "Simulation Model to Assess the Water Dynamics in Small Reservoirs," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(5), pages 2019-2038, March.

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