Reliability-based multi-objective optimum design of nonlinear conjunctive use problem; cyclic storage system approach

Abstract

Conjunctive use of groundwater and surface water requires integration of the entire system components into a single management model with a long-term outlook. This paper defines a cyclic storage system (CSS) of groundwater and surface water as a physically interconnected and operationally integrated surface water and groundwater subsystems with direct interactions. This paper presents a generalized full-scale modelling approach for reliability-based optimum design of a multi-objective surface water and groundwater management system in a multi-period operation horizon with a cyclic storage perspective. The approach employs an active, long term, intra-annual, distributed, unsteady, and multi-objective simulation-optimization scheme in a river-reservoir-aquifer setting. The proposed CSS implicitly minimizes spill from reservoir which may be regarded as water loss in local spatial scale. To manage the computational burden, a hybrid of multi-objective particle swarm optimization algorithm and linear programming is used. The resulted Pareto fronts would help the water managers to decide between the desired level of reliability and the maximum seasonal deficit, during failure periods.