Optimization of Release from Gheshlagh ReservoirBased on Hydrological Uncertainty Conditions

Document Type : Research Article

Authors

Department of Water Engineering, Faculty of Agriculture, University of Tabriz

Abstract

Dam reservoirs supplies water resources for drinking, agriculture, and industry almost in all parts of Iran. Lack of proper utilization rules and unbalanced demands versus available water has led to many problems regarding to ineffective use of the water resources. Precipitation and flow rate are stochastic phenomena. Therefore, multi-step processes related to the water use efficiency should be considered during the decision-making systems. The aim of this study was to optimize the maximum allowable release from Gheshlagh dam reservoir using linear and dynamic programming models in a one-year time scale. Therefore, Linear and dynamic programming models were applied in Gheshlagh dam reservoir, which supplies the drinking water of the Sanandaj city. Results indicated that the two-parametric log-Normal model appreciably describes monthly water stream flows entering to the reservoir. Thus, this model was applied to compute the stream flow rates with 95, 90, 80, 70, and 50 percent probabilities in each month. There was a good consistency between the drought periods estimated from precipitation data and stream flow rates and 51 months drought period was used in modeling procedure. The results of the maximum allowable release and storage optimization showed that the linear programming model is superior to dynamic modeling approach.
 
 

Keywords

Main Subjects

References

  1.  

    1. Yeh WW. Reservoir management and operations models: A state‐of‐the‐art review. Water resources research. 1985; 21(12):1797-818.
    2. Herbst PH, Bredenkamp DB, Barker HM. A technique for the evaluation of drought from rainfall data. Journal of hydrology. 1966; 31(4):264-72.
    3. Mohan S, Rangacharya NC. A modified method for drought identification. Hydrological Sciences Journal. 1991; 36(1):11-21.
    4. Dorfman R. Mathematical models: The multistructure approach. Harvard University., Cambridge; 1962.
    5. Baliarsingh F, Kumar DN. Stochastic Linear Programming for Optimal Reservoir Operation: A Case Study. In Proc. of International Conference on Large Scale Water Resources Development in Developing Countries: New Dimensions of Prospects and Problems, Kathmandu, Nepal; 1997.
    6. Kumar DN, Reddy MJ. Ant colony optimization for multi-purpose reservoir operation. Water Resources Management. 2006; 20(6):879-98.
    7. Boroomand-Nasab S, Veysi S, Veysi M. Optimization of Release from Dam Reservoirs to the Agriculture Demands (Case study: Jarreh dam to Ramhormoz Irrigation and drainage network, Khuzistan). Report and Opinion. 2012; 4(6): 53-58.
    8. Pattewar DV, Sharma KM, Dahe PD. Yield Estimation for a Single Purpose Multi-Reservoir System Using LP Based Yield Model. Journal of Water Resources and Protection. 2013; 5: 28-34.
    9. Duranyildiz İ, Önoz B, Beyazit M. A chance-constrained LP model for short term reservoir operation optimization. Turkish Journal of Engineering and Environmental Sciences. 1999; 23(3):181-6.
    10. Tuominen P, Tweedie RL. Subgeometric rates of convergence of f-ergodic Markov chains. Advances in Applied Probability. 1994; 1:775-98.
    11. Borkar VS. Dynamic programming for ergodic control with partial observations. Stochastic Process. 2003; 103:293–310.
    12. Kelman J, Stedinger JR, Cooper LA, Hsu, E, Yuan SQ. Sampling Stochastic Dynamic Programming Applied to Reservoir Operation. Water Resources Research. 1990; 26(3):447-54.
      1. Deloye AJ. Montaseri M. Predicting critical period to characterize over-year and within-year reservoir systems, Water Resources Management, 1999; 13:383-407.
      2. Loucks DP, Van Beek E, Stedinger JR, Dijkman JP, Villars MT. Water resources systems planning and management: an introduction to methods, models and applications. Paris: Unesco; 2005.
      3. Hurst HE. Long-term storage capacities of reservoirs. Trans. AM Engineering, 1951; 116: 770-799.

     

     

     

Iranian journal of Ecohydrology
Volume 3, Issue 1
March 2016
Pages 121-132

Files

History

  • Receive Date: 22 January 2016
  • Revise Date: 09 September 2016
  • Accept Date: 05 April 2016
  • First Publish Date: 05 April 2016
  • Publish Date: 20 March 2016

Share

How to cite

Statistics