Prioritization of Factors Affecting Drought using the Fuzzy Analytic Hierarchy Process Method (Study Case: Torbat Heydarieh City)
Journal Title: Journal of Drought and Climate change Research (JDCR) - Year 2024, Vol 2, Issue 5
Abstract
Iran is one of the driest countries in the world and is exposed to severe droughts. Drought is the result of the mutual effects of natural and social surroundings. In addition to affecting agricultural production, it also affects all living organisms at the same time. In this research, the prioritization of the factors affecting drought using the Fuzzy Analytical Hierarchy Process technique has been investigated in Torbat Heydarieh city. The statistical community included experts in this field and agricultural experts with more than 10 years of work experience in the group of 15 individuals. Interviews and expert opinions were used to confirm the validity of the questionnaire, and Cronbach's alpha test was used to confirm its reliability. The experts identified 19 sub-indices in the form of 5 main ones that influence drought in Torbat Heydarieh city after reviewing the theoretical literature of the research. The priority of the main indices that affect drought in this city according to their importance using the fuzzy Analytical Hierarchy Process method is presented in the following form: "human factors", "cultural factors", "social factors", "climatic factors" and "geographical factors". Based on the obtained results, it was found that among the 19 investigated sub-indices, the sub-indices of "excessive use of water resources" has the highest degree of importance, the sub-indices of "population growth", "lack of awareness about water shortage", "Reduction of rainfall", "Increase in temperature", "Increase in unauthorized dams and wells" and "Unsuitable and intensive agricultural crops" were placed in the next grade.
Authors and Affiliations
Amir Reza Rezaeei; Alireza Roshani
Keywords
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- EP ID EP754907
- DOI https://doi.org/10.22077/jdcr.2024.7255.1057
- Views 68
- Downloads 0
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