Multiobjective optimization for integrated resources planning involving a large-scale water transmission system

Regional water supply planning is one of the most complex activities facing the planners and engineers. The water quality regulations together with the increasing awareness and the need for environmental and ecosystem protection has resulted in development of Integrated Resources Planning approach to aid in water resources planning problems. Decision support models are needed to assist in this process. This dissertation presents a model for estimation of the water supply reliability in meeting regional demands. The model can be used to analyze the overall as well as the individual demand node reliability. The model is based on a combined Linear and Nonlinear programming formulation which is solved using multiobjective optimization techniques. The solution approach is based on pre-emptive prioritization with tiering of the objective function components. The approach proposed in this dissertation is applied to a case study of the Metropolitan Water District of Southern California's (MWD) water conveyance system.