Multi Objective Operation Optimization of Reservoir By Considering Ecosystem Sustainability and Ecological Targets.

Abstract

Ecosystem sustainability has been widely considered in planning of water resources in the recent years. In this study, variations of macroinvertebrates is considered as a criteria for assessing biological diversity in the downstream river in a river-reservoir system. Unlike most of the previous studies, this biological diversity index is then used in a multi-objective reservoir operation optimization model as an objective function instead of a constraint. Aboulabbas Dam in Khuzestan Province in Iran was chosen as the case study of this research. Two objectives of supplying water demand and ecological diversity were maximized for the case of Aboulabbas Dam. Based on the historical records of water quality and macroinvertebrate samples, a relationship between these two parameters was proposed. Multi Objective Particle Swarm Optimization (MOPSO) was used as the optimization algorithm and water quality variations has been modeled by linking WQRRS (Water Quality for River Reservoir Systems) model with the optimization model. Evaluation of the results in a 10-year period and comparison with single-objective optimization shows that using the proposed methodology, in addition to taking into account the water quality variations in its impacts on the river ecosystem, provides an acceptable level water supply reliability.