Optimizing the allocation of agricultural water and land in Urmia lake basin

Zeanali, M. (2014) Optimizing the allocation of agricultural water and land in Urmia lake basin. Masters thesis, University of Zabol.

Optimizing the allocation of agricultural.pdf

Download (135kB) | Preview


Irrigation water distribution network optimization for the amount of water available and the arable land is one of the best ways to increase profits for the farmers. Allocation of water in these systems is often based on factors such as demand forecasting of water for crops and available water. Uncertainty in predictions is one of the inherent component of agricultural water distribution systems. The present study was made to optimize the water allocation and land cover in the basin of lake dams to maximize users profits for the three-year planning horizon (2014- 2016). For survey the effect of uncertainty in allocation of water and agricultural land of this region used model was the optimization model with a degree of conservative controller parameters. To examine the sensitivity of the model in order to increase efficiency and conservative rate, different scenarios were applied. The proposed model in four efficiencies of 35, 45, 55 and 65%, different levels of uncertainty and the combination of these scenarios were investigated. The results showed that in order to produce water need lack and other sectors in some of dams like shaharchaiee and bookan, the arable land must be reduced about 50% in the first year of planning and planning should be reduced approximately 40% in the second year. Other dams in the area must be reduced the current arable land as much as possible.

Item Type: Thesis (Masters)
Uncontrolled Keywords: Optimization, Multi-reservoir systems, Urmia Lack Basin, Uncertainty
Subjects: S Agriculture > S Agriculture (General)
Depositing User: admin admin1 admin2
Date Deposited: 01 Nov 2016 07:10
Last Modified: 01 Nov 2016 07:10
URI: http://eprints.uoz.ac.ir/id/eprint/948

Actions (login required)

View Item View Item