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Development of Real-Time Conjunctive Use Operation Rules for Aquifer-Reservoir Systems

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  • Elahe Fallah-Mehdipour
  • Omid Bozorg Haddad
  • Saeed Alimohammadi
  • Hugo Loáiciga

Abstract

Real-time operation rules are strategies that use prior and current system states to achieve desired conditions in future periods. Commonly, these rules are based on estimates of current and future inflows, current aquifer and reservoir storages, hydraulic heads, power plant capacities and energy demands, and water demand values from users. This paper proposes the development and implementation of a linear real-time operation rule for lumped and distributed aquifer-reservoir systems. A fixed length gene genetic programming (FLGGP) approach is applied to find linear operation rules for a lumped aquifer- reservoir system and compared to an approach using genetic algorithms (GA). Results obtained with the FLGGP are significantly better (over 30 %) than those calculated with GA. The added functions and mathematical operators of the FLGGP create more effective operation rules in a conjunctive aquifer-reservoir system. In addition, lumped and distributed model performances are compared. Results obtained show reliability higher and vulnerability lower for water allocations in distributed aquifer-reservoir systems than those corresponding to lumped systems. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Elahe Fallah-Mehdipour & Omid Bozorg Haddad & Saeed Alimohammadi & Hugo Loáiciga, 2015. "Development of Real-Time Conjunctive Use Operation Rules for Aquifer-Reservoir Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(6), pages 1887-1906, April.
  • Handle: RePEc:spr:waterr:v:29:y:2015:i:6:p:1887-1906
    DOI: 10.1007/s11269-015-0917-y
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    References listed on IDEAS

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    1. M. Tabari & Jaber Soltani, 2013. "Multi-Objective Optimal Model for Conjunctive Use Management Using SGAs and NSGA-II Models," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(1), pages 37-53, January.
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    4. S. Seifollahi-Aghmiuni & Omid Bozorg Haddad & M. Omid & M. Mariño, 2013. "Effects of Pipe Roughness Uncertainty on Water Distribution Network Performance During its Operational Period," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(5), pages 1581-1599, March.
    5. M. Ahmadi & Omid Bozorg Haddad & M. Mariño, 2014. "Extraction of Flexible Multi-Objective Real-Time Reservoir Operation Rules," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(1), pages 131-147, January.
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    7. Dragan Savic & Godfrey Walters & James Davidson, 1999. "A Genetic Programming Approach to Rainfall-Runoff Modelling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 13(3), pages 219-231, June.
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    Cited by:

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    2. T. Fowe & I. Nouiri & B. Ibrahim & H. Karambiri & J. Paturel, 2015. "OPTIWAM: An Intelligent Tool for Optimizing Irrigation Water Management in Coupled Reservoir–Groundwater Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(10), pages 3841-3861, August.

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