Evaluation of water consumption reduction scenarios at field scale using crop yield modeling (Case study of Miyandoab Plain)

Document Type : Research Paper


1 Department of Water Engineering, Faculty of Agriculture, University of Urmia, Urmia, Iran

2 Department of Water Engineering, Faculty of Agriculture and Department of Environment Research, Urmia Lake Research Institut, University of Urmia, Urmia, Iran.

3 Department of Water Engineering, Faculty of Agriculture, University of Urmia, Urmia, Iran.

4 Agricultural Engineering Research Department, West Azarbaijan Agricultural and Natural Resources Research and Education Center, AREEO, Urmia, Iran.



Saving, optimizing water consumption, and improving productivity and efficiency indicators in the agricultural sector are important and necessary. Miandoab region is of particular importance as a model of reducing consumption in order to conserve real water for the restoration of Lake Urmia. This research was conducted with the aim of evaluating water consumption reduction scenarios at the farm level with the AquaCrop plant model in the Miandoab region. For this purpose, the information on farms related to the sustainable agriculture project of Iran's Wetlands Protection Plan in the Miandoab region was used. The data from the first year (the crop year 2015-2016) was used for model validation and the second year (the crop year 2016-2015) was used for model validation. The evaluation of statistical indicators shows the accuracy and high ability of the model in simulating grain yield. After the calibration and validation of the model, the irrigation planning scenarios were analyzed and evaluated in the form of changing the irrigation depth by 10, 20, and 30% reduction for the conditions of the second year. The results of field measurements in 2017-2018 showed that the average irrigation depth and applied irrigation(Irrigation + effective precipitation) for wheat were 405.44 and 580.44 mm respectively and mean grain yield was 8340 kg/ha, then irrigation water productivity and applied irrigation productivity were 2.27 and 1.52 kg / m3, respectively. Also, the results of the study of deficit irrigation scenarios showed that the S3 scenario (30% irrigation water reduction) will reduce only 10% crop yield and water productivity will increase from 1.53 to 1.72 kg/m^3. The values of water productivity indices were calculated using balance components and performance simulated by the model for each of the farms. In general, the results showed that it is possible to increase the yield of wheat grains and water productivity with the help of the AquaCrop model and the improvement of crop management, with the help of proper and accurate irrigation planning, and it can save and conserve water on a farm scale.


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