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| Distributed monthly irrigation optimization model |
| Wang Ying1,2, Peng Shizhang3, Wang Long1,2, Yang Rui1,2, Wen Jun1,2 |
| 1.College of Water Conservancy, Yunnan Agricultural University, Kunming, Yunnan 650201, China; 2.Key Laboratory of Water Resources and Efficient Irrigation, Yunnan Agriultural University, Kunming, Yunnan 650201, China; 3.State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, Jiangsu 210098, China |
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Abstract Cropping patterns are complicated and irrigation requirements of different crops at different stages are quite different at large irrigation areas. Distributed monthly irrigation optimization model(DMIOM)are established with GIS. In this model irrigation areas are divided into 250 m×250 m raster cells. Crop yields of irrigation areas are set as an optimization goal based on water production functions. Six constraints are considered in DMIOM including water balances, canal capacities, water resource supply, irrigation delete time, water availabilities, and nonnegative. Optimization results in August, October and December of 2006—2007 at Murrumbidgee Irrigation Area were taken as an example. Optimized irrigation scheduling match observed data. Irrigation amount of optimized results are less than the value of previous irrigation scheduling. Moreover, there is a trend that limited water resources of optimized irrigation scheduling transferring to economic crops under the balance of water distribution to different crops. Therefore, the DMIOM is a useful model to irrigate effectively for monthly irrigation optimization with raster cell scales.
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Received: 29 May 2014
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