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Developing Probabilistic Operating Rules for Real-time Conjunctive Use of Surface and Groundwater Resources: Application of Support Vector Machines

Mohammad Reza Bazargan-Lari 1 Reza Kerachian 2 Hossein Sedghi 3

Mahsa Fallahnia4 Armaghan Abed-Elmdoust5 Mohmmad Reza Nikoo6

(Received June 1, 2009 Accepted Apr. 13, 2010) Abstract Developing optimal operating policies for conjunctive use of surface and groundwater resources when different decision makers and stakeholders with conflicting objectives are involved is usually a challenging task. This problem would be more complex when objectives related to surface and groundwater quality are taken into account. In this paper, a new methodology is developed for real time conjunctive use of surface and groundwater resources. In the proposed methodology, a well-known multi-objective genetic algorithm, namely Non-dominated Sorting Genetic Algorithm II (NSGA-II) is employed to develop a Pareto front among the objectives. The Young conflict resolution theory is also used for resolving the conflict of interests among decision makers. To develop the real time conjunctive use operating rules, the Probabilistic Support Vector Machines (PSVMs),

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1. Graduated Ph.D. Student, Dept. of Water Sciences and Eng., Sciences and Research Branch, Islamic Azad university,Tehran, Iran (Corresponding Author) (+98 21) 33594950 [email protected]

2. Assoc. Prof., Center of Excellence for Eng. and Management of Infrastructures, Dept. of Civil Eng., University of Tehran

3. Prof., Dept. of Water Sciences and Eng., Science and Research Branch, Islamic Azad university, Tehran, Iran

4- Ph.D. Student, Dept. of Architectural Eng., Science and Research Branch, Islamic Azad university, Tehran, Iran

5. Ph.D. Student of Water Civil Eng., Dept. of Civil Eng., University of Tehran 6. Ph.D. Candidate, Dept. of Civil Eng., University of Tehran

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which are capable of providing probability distribution functions of decision variables, are utilized. The proposed methodology is applied to Tehran Aquifer in Tehran metropolitan area, Iran. Stakeholders in the study area have some conflicting interests including supplying water with acceptable quality, reducing pumping costs, improving groundwater quality and controlling the groundwater table fluctuations. In the proposed methodology, MODFLOW and MT3D groundwater quantity and quality simulation models are linked with NSGA-II optimization model to develop Pareto fronts among the objectives. The best solutions on the Pareto fronts are then selected using the Young conflict resolution theory. The selected solution (optimal monthly operating policies) is used to train and verify a PSVM. The results show the significance of applying an integrated conflict resolution approach and the capability of support vector machines for the real time conjunctive use of surface and groundwater resources in the study area. It is also shown that the validation accuracy of the proposed operating rules is higher that 80% and based on these rules, the cumulative groundwater table variation is limited to 80 centimetres during a 15-year planning horizon. Keywords: Conjunctive Use, Groundwater, NSGA-II, Conflict Resolution, Support Vector Machines,

Tehran Aquifer.

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