اولویت بندی ریسک‌های ناشی از تغییرات اقلیمی در ایران

Among the ten threatening factors that threaten humanity in the 21st century, the phenomenon of climate change ranks first. The main issue in the emergence of this phenomenon is its consequences for nature and human life. The purpose of this research is to identify the most important risks caused by climate change and prioritize them with multi-criteria decision making methods. In order to familiarize with climatic effects and test hypotheses, a questionnaire has been prepared for prioritizing climatic effects. In the meantime, useful information was obtained from group discussions to analyze and investigate the issue. The opinions of 25 experts and experts were used to design the questionnaire. The responses of the respondents were evaluated in the form of prioritizing climatic effects based on the fuzzy AHP method and ranking the climatic regions based on the Waspas method. The results show that the coefficient of t in all indicators is greater than zero and the average limit, thus a significant relationship is observed between all indicators and the risk of climate change. The highest coefficient belongs to environmental hazards with a coefficient of 35.9. Pearson's correlation results showed that the average of all indicators is greater than four and the relationship between all indicators is positive, which indicates the influence of each of these indicators on each other. The highest final weight of the six indicators in the AHP FUZZY method belongs to environmental hazards with a weight of 0.201, followed by water resources with a weight of 0.193, and economy with a weight of 0.170. The ranking of climatic regions using the Waspas method showed that in terms of climate change risk in six indicators, semi-arid, dry, Mediterranean, semi-humid, ultra-arid, wet and cold and mountainous regions are ranked 1-7 respectively.

Among the ten threatening factors that threaten humanity in the 21st century, the phenomenon of climate change ranks first. The main issue in the emergence of this phenomenon is its consequences for nature and human life. The purpose of this research is to identify the most important risks caused by climate change and prioritize them with multi-criteria decision making methods. In order to familiarize with climatic effects and test hypotheses, a questionnaire has been prepared for prioritizing climatic effects. In the meantime, useful information was obtained from group discussions to analyze and investigate the issue. The opinions of 25 experts and experts were used to design the questionnaire. The responses of the respondents were evaluated in the form of prioritizing climatic effects based on the fuzzy AHP method and ranking the climatic regions based on the Waspas method. The results show that the coefficient of t in all indicators is greater than zero and the average limit, thus a significant relationship is observed between all indicators and the risk of climate change. The highest coefficient belongs to environmental hazards with a coefficient of 35.9. Pearson's correlation results showed that the average of all indicators is greater than four and the relationship between all indicators is positive, which indicates the influence of each of these indicators on each other. The highest final weight of the six indicators in the AHP FUZZY method belongs to environmental hazards with a weight of 0.201, followed by water resources with a weight of 0.193, and economy with a weight of 0.170. The ranking of climatic regions using the Waspas method showed that in terms of climate change risk in six indicators, semi-arid, dry, Mediterranean, semi-humid, ultra-arid, wet and cold and mountainous regions are ranked 1-7 respectively.

Among the ten threatening factors that threaten humanity in the 21st century, the phenomenon of climate change ranks first. The main issue in the emergence of this phenomenon is its consequences for nature and human life. The purpose of this research is to identify the most important risks caused by climate change and prioritize them with multi-criteria decision making methods. In order to familiarize with climatic effects and test hypotheses, a questionnaire has been prepared for prioritizing climatic effects. In the meantime, useful information was obtained from group discussions to analyze and investigate the issue. The opinions of 25 experts and experts were used to design the questionnaire. The responses of the respondents were evaluated in the form of prioritizing climatic effects based on the fuzzy AHP method and ranking the climatic regions based on the Waspas method. The results show that the coefficient of t in all indicators is greater than zero and the average limit, thus a significant relationship is observed between all indicators and the risk of climate change. The highest coefficient belongs to environmental hazards with a coefficient of 35.9. Pearson's correlation results showed that the average of all indicators is greater than four and the relationship between all indicators is positive, which indicates the influence of each of these indicators on each other. The highest final weight of the six indicators in the AHP FUZZY method belongs to environmental hazards with a weight of 0.201, followed by water resources with a weight of 0.193, and economy with a weight of 0.170. The ranking of climatic regions using the Waspas method showed that in terms of climate change risk in six indicators, semi-arid, dry, Mediterranean, semi-humid, ultra-arid, wet and cold and mountainous regions are ranked 1-7 respectively.