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Multi-Reservoir System Optimization using Chlorophyll-a Trophic Indexes

G. Sechi () and A. Sulis

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2007, vol. 21, issue 5, 849-860

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

Keywords: sustainable reservoir management; complex water resource systems optimization; WARGI-QUAL software; water quality indexes; reservoir trophic state (search for similar items in EconPapers)
Date: 2007
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Citations: View citations in EconPapers (5)

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DOI: 10.1007/s11269-006-9114-3

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