Optimal Reservoir Operation for Irrigation of Multiple Crops Using Genetic Algorithms
Publication: Journal of Irrigation and Drainage Engineering
Volume 132, Issue 2
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.
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Information & Authors
Information
Published In
Journal of Irrigation and Drainage Engineering
Volume 132 • Issue 2 • April 2006
Pages: 123 - 129
Copyright
© 2006 ASCE.
History
Received: Jun 5, 2003
Accepted: Apr 27, 2005
Published online: Apr 1, 2006
Published in print: Apr 2006
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