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Optimal reservoir operation for irrigation of multiple crops using genetic algorithms

Kumar, DN and Raju, KS and Ashok, B (2006) Optimal reservoir operation for irrigation of multiple crops using genetic algorithms. In: Journal of Irrigation and Drainage Engineering-Asce, 132 (2). pp. 123-129.

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Abstract

This paper presents a genetic algorithm (GA) model for obtaining an optimal operating policy and optimal crop water allocations from an irrigation reservoir. The objective is to maximize the sum of the relative yields from all crops in the irrigated area. The model takes into account reservoir inflow, rainfall on the irrigated area, intraseasonal competition for water among multiple crops, the soil moisture dynamics in each cropped area, the heterogeneous nature of soils. and crop response to the level of irrigation applied. The model is applied to the Malaprabha single-purpose irrigation reservoir in Karnataka State, India. The optimal operating policy obtained using the GA is similar to that obtained by linear programming. This model can be used for optimal utilization of the available water resources of any reservoir system to obtain maximum benefits.

Item Type: Journal Article
Additional Information: Copyright of this article belongs to American society for Civil Engineers.
Keywords: Irrigation; algorithms; optimization; crops; reservoir operation.
Department/Centre: Division of Mechanical Sciences > Civil Engineering
Date Deposited: 20 Oct 2010 09:18
Last Modified: 20 Oct 2010 09:18
URI: http://eprints.iisc.ernet.in/id/eprint/32675

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