Assessment and optimum selection of crop pattern criteria relying on sustainable development

Document Type : Original Article

Authors

1 M.Sc. Graduate of Water Resources Engineering, Department of Water Engineering, College of Agriculture, Shahid Bahonar University of Kerman.

2 Assistant Professor, Department of Water Engineering, Shahid Bahonar University of Kerman, Kerman, Iran. Email: samare@uk.ac.ir

3 Assistant Professor, Department of Water Engineering, Shahid Bahonar University of Kerman, Kerman, Iran. Email: s.golestani@uk.ac.ir

4 M.Sc. Graduate of Computer Science, Department of Computer Science, College of Mathematics and Computer Science, Shahid Bahonar University of Kerman.

Abstract

Due to the water crisis and the large proportion of agriculture sector in water withdrawal, many studies have been done on water efficiency improvement in agriculture. One of the proposed solutions is optimal crop pattern implementation. However, less attention has been paid to the effect and role of crop pattern criteria in the determination of crop pattern and water resources use efficiency. There are many crop pattern criteria to determine crop pattern and crop efficiency in a selected area, selecting different criterion results in different outcomes. Therefore, proper selection of criteria is pivotal to the optimal use of water resources. In this paper crop pattern criteria has been evaluated relying on sustainable development, therefore eleven criteria have been selected as the main criteria and prioritized for Pistachio and Damask rose in Kavirdaranjir Basin. To prioritize the criteria an optimization problem, which its objective function is based on sustainable development, has been developed. The problem has been solved, using random and chaotic (Tent, Henon, and Logistic) genetic algorithms. The results show Tent chaotic genetic algorithms performance is the best comparing other selected algorithms. In addition, the analysis of optimization problem results shows the priority of the criteria is the environmental, economic and social category.

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References

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Iran-Water Resources Research
Volume 15, Issue 2
May 2019
Pages 98-108

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History

  • Receive Date: 30 September 2018
  • Revise Date: 07 January 2019
  • Accept Date: 11 January 2019

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