Developing Fuzzy Optimization Model for Conjunctive Use of Surface and Ground Water, Case Study: Astaneh-Koch Esfahan Plain

Document Type : Research Article

Authors

1 MSc of Water Resources Engineering, Department of Irrigation and Drainage Engineering, Aburaihan Campus, University of Tehran.

2 Assistant Professor, Department of Irrigation and Drainage Engineering, Aburaihan Campus, University of Tehran

3 Associate Professor, Department of Irrigation and Drainage Engineering, Aburaihan Campus, University of Tehran

Abstract

In this study, an entirely fuzzy optimization model is presented for conjunction use of surface and groundwater. Groundwater level in Astaneh-Koch Esfahan Aquifer was simulated using the GMS Model, while its results were used as a constraint in optimization model. Then, Kumar and Jayalakishimi fuzzy optimization methods were solved by applying the GAMS software. Maximum water supply shortage in Kumar method for left-side of Sangar was in 2009 that 58.36% of demands was satisfied. Also this value in the right-side was calculated about 56.76% in 2008. In the Jayalakishimi method, the maximum water supply shortage was obtained in 1998 and 2014 that 66.5% and 60.96% of demands for left and right-side are satisfied, respectively. On the other hand, for this method, in the situation of total maximum shortage for left and right sides of Sangar channel, supply percentage of water needs was about 65.9% in 1998, while for the Jayalakishimi method, it was obtained about 66.5% in 1998. Also in the current situation, the supply percentage in the worst conditions is 54%. Regarding consideration of uncertainties, the proposed fuzzy optimization model can be applied to manage the conjunctive water supply for agriculture.

Keywords

Main Subjects

References

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Iranian journal of Ecohydrology
Volume 5, Issue 3
October 2018
Pages 891-905

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History

  • Receive Date: 21 December 2017
  • Revise Date: 05 May 2018
  • Accept Date: 05 May 2018
  • First Publish Date: 23 September 2018
  • Publish Date: 23 September 2018

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