Optimizing Embedded Water Trades to Conserve Lakes in Arid and Semiarid Regions
More details
Hide details
Department of Irrigation and Drainage, College of Aburaihan, University of Tehran, Pakdasht, Iran
Department of Water Resources and Environmental Engineering (WREE), The Slovak University of Agriculture in Nitra, Nitra, Slovakia
Mohammad Ebrahim Banihabib   

University of Tehran, Aburaihan Campus, University of tehran,, 3391653755, Tehran, Iran
Submission date: 2020-07-23
Final revision date: 2020-10-02
Acceptance date: 2020-11-01
Online publication date: 2021-09-08
Publication date: 2021-09-22
Pol. J. Environ. Stud. 2021;30(5):4413–4423
The shrinking of the former sixth largest salty lake in the world threatens the job security of farmers and life of inhabitants. We examined the capability of applying the optimal exchange of embedded water to release more water resources for the restoration of Lake Urmia. For this purpose, an optimization model is developed based on Kumar approach to maximize the income of the agricultural sector in the basin by deriving an optimal cropping pattern, embedded agricultural water imports and exports. Testing three cropping pattern policy discloses more income for the agriculture sector can be achieved by more flexible policy for cropping. The scenario which applies mild flexibility in cropping pattern policy and 80% availability of agricultural water, and scenario 6 which applies middle flexibility for cropping pattern policy and 60% availability of agricultural water are proposed for increasing the agricultural sector’s income 7% and 21% and reducing water consumption in short term and long-term plans, respectively, for the restoration of the lake. These scenarios increase embedded agricultural water imports 164% and 161%, and decrease agricultural water use 20% and 40%, respectively. The model of this study can be future examined to restore drying lakes with high agricultural water use in their basins.