Multiobjective fuzzy optimization for sustainable groundwater management using particle swarm optimization and analytic element method

Gaur, Shishir and Raju, Srinivasa K and Kumar, Nagesh D and Graillot, Didier (2015) Multiobjective fuzzy optimization for sustainable groundwater management using particle swarm optimization and analytic element method. In: HYDROLOGICAL PROCESSES, 29 (19). pp. 4175-4187.

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Abstract

Groundwater management involves conflicting objectives as maximization of discharge contradicts the criteria of minimum pumping cost and minimum piping cost. In addition, available data contains uncertainties such as market fluctuations, variations in water levels of wells and variations of ground water policies. A fuzzy model is to be evolved to tackle the uncertainties, and a multiobjective optimization is to be conducted to simultaneously satisfy the contradicting objectives. Towards this end, a multiobjective fuzzy optimization model is evolved. To get at the upper and lower bounds of the individual objectives, particle Swarm optimization (PSO) is adopted. The analytic element method (AEM) is employed to obtain the operating potentio metric head. In this study, a multiobjective fuzzy optimization model considering three conflicting objectives is developed using PSO and AEM methods for obtaining a sustainable groundwater management policy. The developed model is applied to a case study, and it is demonstrated that the compromise solution satisfies all the objectives with adequate levels of satisfaction. Sensitivity analysis is carried out by varying the parameters, and it is shown that the effect of any such variation is quite significant. Copyright (c) 2015 John Wiley & Sons, Ltd.

Item Type:	Journal Article
Publication:	HYDROLOGICAL PROCESSES
Publisher:	WILEY-BLACKWELL
Additional Information:	Copy right for this article belongs to the WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
Keywords:	multiobjective fuzzy optimization; groundwater management; analytic element method; particle swarm optimization
Department/Centre:	Division of Mechanical Sciences > Civil Engineering
Date Deposited:	24 Sep 2015 06:56
Last Modified:	24 Sep 2015 06:56
URI:	http://eprints.iisc.ac.in/id/eprint/52432

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