2024 : 11 : 5
mahmoud Mohammad Rezapour Tabari

mahmoud Mohammad Rezapour Tabari

Academic rank: Associate Professor
ORCID: 0000-0002-4837-5026
Education: PhD.
ScopusId: 8703076700
HIndex: 0/00
Faculty: Faculty of Technology and Engineering
Address: University of Mazandaran, Faculty of Engineering, Department of Civil Engineering
Phone: 011-35305133

Research

Title
Multi-Objective Optimal Model for Conjunctive Use Management Using SGAs and NSGA-II Models
Type
JournalPaper
Keywords
Conjunctive use . Optimization .Water resources management . Sequential genetic algorithm . Non-Dominated solution . Aquifer
Year
2012
Journal Water Resources Management
DOI
Researchers mahmoud Mohammad Rezapour Tabari ، Jaber Soltani

Abstract

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.