Application of Interval Fuzzy Multi-Stage Stochastic Model in water resource management Case study: Latian Dam

Document Type : Research paper

Author

Assistant Professor of agricultural economics, university of Torbat Heydarieh

Abstract

Due to the increasing population growth, the development of industries and the increasing pollution of fresh water resources, access to adequate and adequate water has become a serious crisis in some countries.The volume of water on Earth has always been constant. The life of all living things, such as humans, animals, and plants, is directly dependent on water. has it. Due to the importance of water in current study, water allocation of Latian dam between urban and agricultural sector is considered using an interval parameter fuzzy multi-stage stochastic programming for the three periods. This model is a combination of fuzzy programming and interval parameter and multi-stage stochastic optimization framework. Needed data was collected from Tehran Regional Water Organization for the year 1991-2015. The results indicated that under the worst conditions when the level of planning in all courses is low, 46.8 million cubic meters of water shortage in the optimal allocation of low water demand than there are sections that amount in case the entire surface water flow the average period is 31 million cubic meters is altered. In the best case scenario when the surface water flow during the planning horizon is large amount of water shortage 0 million cubic meters will be reduced. Solution as the final objective function value of two expected net profit of the system during the planning horizon shows. Increase irrigation efficiency in the agricultural sector and possible use of modern irrigation systems, land area commensurate with urban water sector reform in the water supply network, employing modern technology, lowering water, education, urban water use efficiency and reduce water consumption pattern and price increases are recommended.

Keywords

References

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Hydrogeology
Volume 5, Issue 1
September 2020
Pages 47-60

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