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Multi-Reservoir System Optimization using Chlorophyll-a Trophic Indexes

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  • G. Sechi
  • A. Sulis

Abstract

The problem of managing water scarcity by resorting to complex interconnected multi-source water systems needs to utilize management optimization techniques analyzing aspects of water quantity and quality in a common strategy. In the southern regions of Mediterranean Europe, the greater part of water resources for supply systems are derived from artificial reservoirs and water systems can become quite complex since they interconnect several sources and demand centers, as indeed occurs in the Region of Sardinia (Italy). A simplified approach to the requirement to insert water quality aspects in the mathematical optimization model can be achieved by examining the trophic conditions of reservoirs. Trophic State Indexes (TSI) based on Carlson’s ( 1977 ) make it possible to insert quality constraints in the water management optimization model also considering complex multi-reservoir and multi-user systems. Model formalization and implementation by the optimization toolkit WARGI (Water Resource system optimization aided by Graphical Interface) (Sechi and Zuddas 2000 ; Manca et al. 2004 ; Salis et al. 2005 ) is illustrated in this paper. The usefulness of a mixed quantity–quality optimization approach has been confirmed by WARGI application to a real multi-reservoir water resources system in southern Sardinia. The optimization model remains computationally efficient dealing with this complex multi-reservoir system and the obtained results can be seen as a reference target in a subsequent simulation phase. Copyright Springer Science+Business Media, Inc. 2007

Suggested Citation

  • G. Sechi & A. Sulis, 2007. "Multi-Reservoir System Optimization using Chlorophyll-a Trophic Indexes," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(5), pages 849-860, May.
  • Handle: RePEc:spr:waterr:v:21:y:2007:i:5:p:849-860
    DOI: 10.1007/s11269-006-9114-3
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    Cited by:

    1. Xiao Pu & Hongguang Cheng & Lu Lu & Shengtian Yang & Jing Xie & Fanghua Hao, 2015. "Spatial Profiling and Assessing Dominance of Sources to Water Phosphorus Burden in a Shallow Lake," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(3), pages 715-729, February.
    2. Andre Ferreira & Ramesh Teegavarapu, 2012. "Optimal and Adaptive Operation of a Hydropower System with Unit Commitment and Water Quality Constraints," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(3), pages 707-732, February.
    3. Issam Nouiri, 2014. "Multi-Objective tool to optimize the Water Resources Management using Genetic Algorithm and the Pareto Optimality Concept," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(10), pages 2885-2901, August.
    4. Asmadi Ahmad & Ahmed El-Shafie & Siti Razali & Zawawi Mohamad, 2014. "Reservoir Optimization in Water Resources: a Review," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(11), pages 3391-3405, September.
    5. Kaishan Song & Lin Li & Lenore Tedesco & Shuai Li & Kun Shi & Bob Hall, 2014. "Remote Estimation of Nutrients for a Drinking Water Source Through Adaptive Modeling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(9), pages 2563-2581, July.

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