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

Related Articles

Evaluating the Trend of Rainfall Changes in the LongTerm Time Series of Shiraz

Since in the previous evaluations, the statistical trend of Iran's rainfall has fluctuated for 40 to 50 years, the purpose of this article is to make a long-term time series of Shiraz and then evaluate the rainfall trend...

Zoning of Drinking Water Quality Using Entropy Method and Its Relationship with the Drought (Case Study: Abdalan Aquifer, Gachsaran)

The reduction of water quality in groundwater resources over the last half century has attracted increased amounts of attention from hydrogeologists. Therefore, different methods called quality indicators of ground water...

Efficiency of Machine Learning Techniques for Predicting Vapor Pressure Deficit in Arid and Semi-Arid Regions (Case Study: South Khorasan Province)

Climate change, as one of the global challenges of the present century, has profound impacts on water resources and agriculture. The increase in temperature and decrease in rainfall in arid and semi-arid regions have mad...

Development of Intensity-Duration-Frequency curves at basin scale using the ERA5 reanalysis product

IDF (Intensity-Duration-Frequency) curves play a crucial role in hydrological modeling, infrastructure design, and flood risk management. Traditional methods, relying on ground-based observations, face challenges such as...

Measuring Discharge in a Shallow River in an Arid Area solely using an Unmanned Aerial Vehicle

Unmanned Aerial Vehicles (UAVs) have recently been applied for river flow measurement. In this paper UAV images were first used to acquire surface velocity fields of a small river in an arid area in Iran based on the pri...

Download PDF file
  • EP ID EP754907
  • DOI https://doi.org/10.22077/jdcr.2024.7255.1057
  • Views 68
  • Downloads 0

How To Cite

Amir Reza Rezaeei; Alireza Roshani (2024). Prioritization of Factors Affecting Drought using the Fuzzy Analytic Hierarchy Process Method (Study Case: Torbat Heydarieh City). Journal of Drought and Climate change Research (JDCR), 2(5), -. https://europub.co.uk/articles/-A-754907