Multi-Objective Optimal Model for Conjunctive Use Management Using SGAs and NSGA-II Models

The widespread investigations on water resources management has become an essential issue because due to lack of sufficient research and inattention to planning and management of conjunctive use of surface and groundwater. The conjunctive management is a suitable alternative for imbalanced water res...

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Bibliographic Details
Published in:Water resources management 2013, Vol.27 (1), p.37-53
Main Authors: Tabari, M. Mohammad Rezapour, Soltani, Jaber
Format: Article
Language:English
Subjects:
Algorithms
Allocations
Aquifers
Atmospheric Sciences
Civil Engineering
Conflict resolution
Costs
Earth and Environmental Science
Earth Sciences
Earth, ocean, space
Environment
Exact sciences and technology
Genetic algorithms
Geotechnical Engineering & Applied Earth Sciences
Groundwater
Hydrogeology
Hydrology. Hydrogeology
Hydrology/Water Resources
Objectives
Optimization
Reclamation
Rehabilitation
Reservoir capacity
Reservoirs
Resource management
Simulation
Studies
Surface water
Tradeoffs
Water resources
Water resources management
Water shortages
Water supply
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Summary:The widespread investigations on water resources management has become an essential issue because due to lack of sufficient research and inattention to planning and management of conjunctive use of surface and groundwater. The conjunctive management is a suitable alternative for imbalanced water resources distribution and related constraints in using of surface water. In this paper, a multi-objective model is developed to maximize the minimum reliability of system as well as minimize the costs due to water supply, aquifer reclamation and violation of the reservoir capacity in operation and allocation priority. The non-dominated sorting genetic algorithm (NSGA-II) is used to present the optimal trade-off between the objectives. The sequential genetic algorithms is also applied (SGA) in order to be compared with the NSGA-II model. The results show that the NSGA-II model can considerably reduce the computation burden of the conjunctive use models in comparison with the SGA optimization model. The obtained trade-off curve shows that a little increase in reliability leads to much more system costs. The weighted single objective SGA model results verify optimal trade-off obtained from NSGA-II model and show the optimality of allocated discharges.
ISSN:0920-4741
1573-1650
DOI:10.1007/s11269-012-0153-7