Ranking of Resilience Indicators of Mashhad Plain to Groundwater Resources Reduction by Bayesian Best-Worst Method

Document Type : Research Paper

Authors

1 Ph.D. Student, Department of Agricultural Economics, Faculty of Agriculture, Ferdowsi University, of Mashhad, Mashhad, Iran.

2 Associate Professor, Department of Agricultural Economics, Faculty of Agriculture, Ferdowsi University, of Mashhad, Mashhad, Iran.

3 Professor, Department of Agricultural Economics, Faculty of Agriculture, Ferdowsi University, of Mashhad, Mashhad, Iran

Abstract

Water insecurity is a growing concern worldwide, especially for developing countries, where a wide range of activities, including agriculture, depend on water supply systems. Iran is no exception. For example, the increasing use of surface and groundwater resources in the Mashhad plain as a result of the development of agriculture and related industries in this plain has led to an intensification of the declining trend of its aquifer level. Therefore, the resilience of Mashhad plain is very important in reducing groundwater resources. In this research, it has been tried to analyze the priority of these variables after determining the basic variables affecting the model, according to the opinion of experts and using the two best-worst business methods and the process of hierarchical analysis. In the future, knowledge will define the basic strategies for increasing the resilience of these resources in this plain. According to the literature review, this research is the first attempt to apply the best-worst business method in this field of research. The results of this study showed that the discharge rate of groundwater in agriculture with a final weight of 0.18103 in the BWM section and 0.21216 in the AHP section, respectively, the existing agricultural groundwater resources with a final weight of 0.0444 in the BWM section and 0.174165 in the AHP section, the amount of surface and groundwater losses in the agricultural sector with a final weight of 0.10248 in the BWM section and 0.884 in the AHP section, with different order in the two methods, are of the highest importance.

Keywords

References

 
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Water and Irrigation Management
Volume 10, Issue 2
October 2020
Pages 301-316

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