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Optimal Reservoir Operation for Irrigation of Multiple Crops Using Genetic Algorithms |
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| Authors: | D Nagesh Kumar K Srinivasa Raju B Ashok |
| Affiliation: | 1Associate Professor, Dept. of Civil Engineering, Indian Institute of Science, Bangalore-560 012, India. E-mail: nagesh@civil.iisc.ernet.in 2Associate Professor, Dept. of Civil Engineering, Birla Institute of Technology and Science, Pilani-333 031, India. E-mail: ksraju@bits-pilani.ac.in 3Formerly, Graduate Student, Dept. of Civil Engineering, Indian Institute of Technology, Kharagpur-721 302, India. |
| 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. |
| Keywords: | Irrigation Algorithms Optimization Crops Reservoir operation |