Evaluation of Different Deficit Irrigation Scenarios and Determine of Optimal Hydromodoul and Area of Eropping Pattern in the Deficit Irrigation Conditions

Document Type : Research Paper

Authors

1 Research Assistant, Department of Irrigation and Drainage Engineering, College of Aboureihan, University of Tehran

2 - Associate Prof., Department of Irrigation and Drainage Engineering., College of Aboureihan, University of Tehran

Abstract

Limitation of water resources has made important the application of deficit irrigation subject as a efficient property to increase water productivity. Deficit irrigation subject needs many researches. Doing these research can improve deficit irrigation management in  the Limitation of water resources. The purpose of this study is evaluation of different deficit irrigation scenarios and determine optimal hydromodoul and area of cropping pattern in the deficit irrigation conditions to increase water productivity. A plant growth model was used in order to examine yield and stress in result of applying three different deficit irrigation (10%, 20% and 30%) in fava bean, bean, wheat, potato and sunflower crops. Crop water requirement, Net Benefit Per Drop index (NBPD) and cropping pattern hydromodoul were calculated and on the bases of three criteria, different deficit irrigation scenarios were evaluated. The results show, as the optimal cropping pattern is related to water consuming, optimal production and profit, so the selection of optimal deficit irrigation levels on the bases of maximum water productivity index is suitable. Amonge of all the possible cropping pattern combinations,  a cropping pattern that it consists of 10% of deficit irrigation for fava bean and bean, 20% for sunflower and potato and 30% for wheat  has  maximum of  NBPD(with 15750 Rials per cubic meters) For this cropping pattern, the optimal area in comparison with full irrigation has increased  11% and average optimal hydromodul in comparison with average hydromodul of  full irrigation shows about 18% reduction.