Quantitative evaluation and analysis of combating desertification strategies with multiple decision-making approaches in fuzzy environment

Sadeghiravesh, Mohammad Hasan; Khosravi, Hassan

doi:10.22034/iwm.2022.556144.1035

Quantitative evaluation and analysis of combating desertification strategies with multiple decision-making approaches in fuzzy environment

Document Type : Original Article

Authors

Mohammad Hasan Sadeghiravesh ¹

Hassan Khosravi ²

¹ Department of Environment, College of Agriculture, Takestan Branch, Islamic Azad University, Takestan, Iran

² Department of Arid and Mountainous Regions Reclamation, Faculty of Natural Resources, University of Tehran, Tehran, Iran

10.22034/iwm.2022.556144.1035

Abstract

Extended Abstract
Introduction: Desertification is a natural disaster risk event. This phenomenon, along with the extent of degradation, various effects and complexity of the process, deals with qualitative and uncertain indicators and follows the behavior of fuzzy systems. Therefore, in evaluating combating desertification to achieve preferred and optimal strategies, the use of multi-criteria fuzzy decision-making methods seems necessary. Therefore, this study was conducted to determine the priority of strategies to combat desertification using hierarchical analytical models in a fuzzy environment in the Yazd-Khezrabad plain during 2019-2020 as a case study.
Materials and Method: Fuzzy decision matrix was obtained from fuzzy Delphi method and within the framework of multi-criteria decision-making method. Using Expert Choice software and ELECTRE model, the initial priority of strategies was obtained. In order to estimate the final priority of strategies, TOPSIS method was used and the results were analyzed using GAIA diagram, Graphical Analysis for Interactive Assistance, in Visual PROMETHEE software environment.
Results and Discussion: The results show that the strategy of "adjustment in abstraction from groundwater resources" (A31) with a ratio of 56.59% is the most important strategy in controlling and reducing the effects of desertification and rehabilitation of degraded lands. The strategies of livestock grazing control (A20), irrigation pattern change and implementation of low water requirements (A33), vegetation development and restoration (A23) and prevention of improper conversion and change of land use (A18) with proximity ratios of 15.76 %, 13.53%, 11.34% and 2.78% were selected as the next priorities, respectively. Analyses performed in Visual PROMETHEE software environment also confirmed the results of the ranking. As the analysis showed, the strategy of "adjustment in abstraction of groundwater resources" (A31) with a pure out ranking progress of Phi = 0.3635 still remained the most preferred evaluation strategy and other strategies were ranked as before.
Conclusion: Overall, it is concluded that in line with the strategy of adjusting the abstraction of groundwater resources (A₃₁), by implementing aquifer projects, improving irrigation methods, land improvement, controlling the growth of industries and aquaculture crops, the process of desertification can be slowed down and destroyed lands can be restored. It is suggested that in the plans to control and reduce the effects of desertification and rehabilitation of degraded lands, the obtained results and rankings should be considered.

Keywords

Decision support systems

Graphical Analysis for Interactive Assistance (GAIA)

Fuzzy Multi-Criteria Decision-Making (FMCDM) methods

Triangular Fuzzy Number

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