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- 저자 : Matin Rafipour-Langeroudi (검색결과 1 건)
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Matin Rafipour-Langeroudi,Reza Kerachian,Mohammad Reza Bazargan-Lari 대한토목학회 2014 KSCE JOURNAL OF CIVIL ENGINEERING Vol.18 No.2
This paper presents a new methodology for developing operating rules for conjunctive use of surface and groundwater. BayesianNetworks-based operating rules are trained and verified using the results of a multi-objective optimization model. Reduction ofpumping costs, improving the groundwater quality, water supply with acceptable quality and controlling the groundwater tablefluctuations are considered as objective functions of the optimization model. In order to provide Pareto fonts among these conflictingobjectives, the combination of MODFLOW and MT3D groundwater quantity and quality simulation models and Non-dominatedSorting Genetic Algorithm II (NSGA-II) are used. The best solutions on the Pareto fronts, which are selected using the Young andNash bargaining theories, are used to train and verify Bayesian Networks (BNs). In real-time water allocation from surface andgroundwater resources, the BNs-based rules can be used without any need to run the time consuming optimization and conflictresolution models. The proposed methodology is applied to the conjunctive use of water resources in the Tehran region, Iran. Theresults show that using the operating rules can improve the groundwater quality and control the groundwater table fluctuations in thestudy area.
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