Sustainable Water Resources Management with Multi-Objective Optimization: Average Operator Approach.

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Thursday 2 july 2015

12:39 - 12:42h at Oceania Foyer (level 0)

Themes: (T) Water resources and hydro informatics (WRHI), (ST) Surface and subsurface flow interactions, Poster pitches

Parallel session: Poster pitches: 11L. WRHI - FlowInteractions

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Average operator approach, in improving the solution obtained by Zimmermann's max-min approach has been implemented to multi-purpose reservoir system with multi-objective optimization in fuzzy environment. The methodology has been developed and implemented with four conflicting objectives, viz. maximization of net irrigation benefits (NIB), employment generation (EG), minimization of cost of cultivation (CC) and maximization of revenue generation from municipal and industrial supplies (MI), for Ukai-Kakrapar multi-purpose water resources project, Gujarat, India. The results for multi-objective fuzzy linear programming (MOFLP) models are obtained for 75% exceedance probable inflow conditions using LINGO 13.0 (Language for INteractiveGeneral Optimization) extended version. The sensitivity analysis of the results with respect to the weights assigned to each of the objective function, based on the priority of that particular objective in the system has been carried out for the second phase. The study reveals that the resources remain underutilized in Zimmermann's 1978 max-min approach leading to inefficient solution. The scope of improvement in obtaining the improved level of satisfaction than the satisfaction levels obtained in max-min operator, the average operator approach is found best suitable and implemented for the study area. From the study, it can be concluded that the average operator yields fuzzy efficient solution (optimal) for multi-objective problem of multipurpose reservoir system utilizing the resources to their optimum.